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2026

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Numerical Investigation Of The Influence Of Fiber Content On The Shear Performance Of Uhpc Deep Beams Reinforced With Hybrid Steel And Synthetic Fibers, Hossein Mirzaaghabeik, Sanjay Kumar Shukla, Nuha S. Mashaan Jan 2026

Numerical Investigation Of The Influence Of Fiber Content On The Shear Performance Of Uhpc Deep Beams Reinforced With Hybrid Steel And Synthetic Fibers, Hossein Mirzaaghabeik, Sanjay Kumar Shukla, Nuha S. Mashaan

Research outputs 2022 to 2026

This study investigates the shear performance of ultra-high-performance concrete deep beams (UHPC-DBs) reinforced with hybrid fibers comprising 5D steel fibers and Forta-Ferro (FF) synthetic fibers. UHPC-DBs are widely used in bridges, piles, and transfer girders because of their high load-bearing capacity. Although fiber content strongly influences shear behavior, the contribution of synthetic fibers in hybrid systems remains insufficiently understood. To address this gap, finite element analysis based on the concrete damage plasticity (CDP) model was developed in ABAQUS and validated using experimental results from five previously tested UHPC-DBs with different fiber contents. Load–deflection response, crack patterns, shear capacity, mid-span deflection, …

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Optimizing Subgroup Selection In Petrochemical Industries: A Robust Data Envelopment Analysis Approach For Uncertainty Management, Sadegh Niroomand, Hilda Saleh, Morteza Shafiee, Dragan Pamucar, Ali Mahmoodirad Jan 2026

Optimizing Subgroup Selection In Petrochemical Industries: A Robust Data Envelopment Analysis Approach For Uncertainty Management, Sadegh Niroomand, Hilda Saleh, Morteza Shafiee, Dragan Pamucar, Ali Mahmoodirad

Research outputs 2022 to 2026

This study addresses the critical challenge faced by organizations in selecting an optimal subgroup of decision-making units (DMUs). Such a selection procedure can significantly influence efficiency, profitability, and strategic development. Recognizing the limitations of existing methods in handling inexact data and incorporating managerial preferences, this study proposes a novel framework that integrates data envelopment analysis (DEA) with binary linear programming models. The model applies belief-degree–based representations of uncertainty to capture imprecise inputs and outputs. For this model, two solution approaches—namely, chance-constrained programming and expected value approaches—were developed. These approaches are suitable for real-world applications using standard optimization software. The effectiveness …

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Precarity On The Move: The Relative Economic Precarity Of Mobile Youth Moving To Australia, Lara Mckenzie, Anita Harris, Loretta Baldassar Jan 2026

Precarity On The Move: The Relative Economic Precarity Of Mobile Youth Moving To Australia, Lara Mckenzie, Anita Harris, Loretta Baldassar

Research outputs 2022 to 2026

Analyses of precarity often focus on how insecure employment, careers, finances, and geographies influence people’s lives for the worse, with young people understood as especially precarious in their economic stability and transitions to adulthood. This article analyses accounts of precarity amongst middling transnationally mobile youth, drawing from 24 semi-structured interviews incoming to Australia, and longitudinal survey data. We show that experiences of economic precarity are impacted by their access to work, government support, ability to access or sustain visas, and access to support from family and partners. By drawing on migration scholars’ observations that transnational mobility can be privileged and …

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Role Of Ethical Principles And Ai Characteristics In Shaping Generative Ai Use In Higher Education And Its Impact On Academic Performance, Mostafa Al-Emran, Mohammed A. Al-Sharafi, Behzad Foroughi, Noor Al-Qaysi, Nelson K.Y. Leung, Zaher Mundher Yaseen, Nor’Ashikin Ali Jan 2026

Role Of Ethical Principles And Ai Characteristics In Shaping Generative Ai Use In Higher Education And Its Impact On Academic Performance, Mostafa Al-Emran, Mohammed A. Al-Sharafi, Behzad Foroughi, Noor Al-Qaysi, Nelson K.Y. Leung, Zaher Mundher Yaseen, Nor’Ashikin Ali

Research outputs 2022 to 2026

The rapid integration of Generative AI in higher education has transformed teaching and learning, yet limited research explores the factors driving its adoption and impact on academic performance. This study addresses the gap in understanding how ethical principles (fairness, accountability, transparency, accuracy, autonomy) and AI characteristics (perceived anthropomorphism, perceived intelligence) influence students’ use of Generative AI tools and their subsequent academic outcomes. The research aims to develop and test a theoretical model that integrates these factors to explain Generative AI adoption and its effect on perceived academic performance among university students. Data were collected through surveys from 318 students and …

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Supporting Displaced Students With Disabilities In Post-Secondary Education: An International Scoping Review, Tetiana Bogachenko, Jia Xu, Larysa Klymanska, Nadia Chubko Jan 2026

Supporting Displaced Students With Disabilities In Post-Secondary Education: An International Scoping Review, Tetiana Bogachenko, Jia Xu, Larysa Klymanska, Nadia Chubko

Research outputs 2022 to 2026

Students with disabilities who are forced to leave their homes due to armed conflict, persecution, environmental crises, or other forms of involuntary displacement, within their country or internationally, face compounded barriers to accessing and succeeding in post-secondary education. Yet, their experiences, educational trajectories, and the supports available to them remain underexplored. This scoping review examines existing empirical research on the experiences of students with disabilities in post-secondary education who come from forced migration backgrounds. By addressing the intersection of disability, displacement, and post-secondary education, this review highlights the unique challenges faced by this population as well as supports identified as …

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The Basis For Recommending The Selection Of Samplers In Determining Occupational Exposures To Aerosols, Martin Harper, Pieter Bertier, Marcus Cattani, Karen Galea, Darrah Sleeth, Steven Verpaele Jan 2026

The Basis For Recommending The Selection Of Samplers In Determining Occupational Exposures To Aerosols, Martin Harper, Pieter Bertier, Marcus Cattani, Karen Galea, Darrah Sleeth, Steven Verpaele

Research outputs 2022 to 2026

Measurements are considered to be the basis of exposure assessments used to determine risks to workers. Inhalation exposure poses the greatest risk for most airborne chemicals, and measurements are based on collecting (sampling) and analyzing air samples. Samplers have been developed for more than 120 years. Each new design has been intended to address flaws perceived in earlier designs. Users are faced with a varied array of samplers from which to choose. Comparisons are difficult to make because tests of sampler performance were not standardized until recently and have not been applied consistently. The existing large body of work does …

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What Are Information Literacy Skills? Western Australian Primary Teachers’ Interpretations Of The Ict Curriculum, Louise Moroney, Vaille Dawson Jan 2026

What Are Information Literacy Skills? Western Australian Primary Teachers’ Interpretations Of The Ict Curriculum, Louise Moroney, Vaille Dawson

Research outputs 2022 to 2026

Teachers must equip students to navigate an increasingly complex world of unique challenges and opportunities, necessitating the development of a diverse range of transferable skills. These skills are embedded in the General Capabilities (GC) of the Australian school curriculum. Upper primary school teachers’ interpretations of one of the GC, Information and Communication Technology (ICT) learning progressions, was examined, as these skills have become increasingly important with the rise in generative and assistive artificial intelligence. Using an interpretivist paradigm, an exploratory study was used to determine the areas where 36 teachers differed in their interpretations of the learning progression. Data collected …

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Students’ Experiences Of Living With Adhd At University: A Meta-Ethnography, Maree Mestichelli, Elisa Pepall, Thuy Tran, Mandy Stanley, Amy Cairns, Therese A. O’Sullivan Jan 2026

Students’ Experiences Of Living With Adhd At University: A Meta-Ethnography, Maree Mestichelli, Elisa Pepall, Thuy Tran, Mandy Stanley, Amy Cairns, Therese A. O’Sullivan

Research outputs 2022 to 2026

While the prevalence of attention deficit hyperactivity disorder (ADHD) among university students varies depending on the population studied, it has been estimated at approximately 16%. University students with ADHD may find that the condition affects their academic performance, social interactions, and well-being. This meta-ethnographic review synthesizes findings from 25 qualitative studies to explore the lived experiences of university students with ADHD. The studies, published between 2000 and 2023, were predominantly conducted in the United States with sample sizes ranging from 4 to 135 students. Students came from a broad range of academic disciplines and included undergraduates, recent graduates, and attendees …

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Beyond Compliance: Transformative Co-Design For Gender-Based Violence Prevention In Higher Education, Narelle Lemon, Christina Gray, Jason Goopy, Lisa Holmes, Bec Ball, Melissa Perry, Elisa Fear Jan 2026

Beyond Compliance: Transformative Co-Design For Gender-Based Violence Prevention In Higher Education, Narelle Lemon, Christina Gray, Jason Goopy, Lisa Holmes, Bec Ball, Melissa Perry, Elisa Fear

Research outputs 2022 to 2026

This study examines how university staff and students experience transformative learning through voluntary participation in a gender-based violence (GBV) prevention programme that transcended compliance-oriented approaches. While universities increasingly rely on mandatory modules that fail to create sustainable change, this research investigates whether self-nominated participation and co-design pedagogy can foster genuine transformation and voice development among participants from diverse disciplinary backgrounds. A qualitative multi-method design examined eight university students (aged 18–24) at an Australian university through pre-post focus groups, observational field notes, and artefact analysis. Participants voluntarily engaged in workshops co-designing peer-focused social media prevention messaging. Inductive thematic analysis identified patterns …

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Decoupling Sustainability And Performance: How Government Infrastructure Projects In Australia Fare On Strategic Environmental Commitments, Richard Hughes, Kerry Brown Jan 2026

Decoupling Sustainability And Performance: How Government Infrastructure Projects In Australia Fare On Strategic Environmental Commitments, Richard Hughes, Kerry Brown

Research outputs 2022 to 2026

Australian government organisations are pivotal in helping to meet the United Nations sustainable development goals. Yet while these organisations promote sustainability in their strategic plans, they struggle to embed these same commitments into their own infrastructure and construction projects. This study examines this persistent disconnect using the lens of strategic decoupling, which explains how organisations symbolically align with external expectations while internal practices remain unchanged. Using a two-stage qualitative design, we conducted a positivist discourse analysis of strategic artefacts from six government organisations and a theoretically informed interpretivist analysis of 30 interviews with project professionals, framed by strong structuration theory. …

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Influence Of Rice Hull Biochar And Cedar Bark Media On Strawberry Productivity And Carbon Sequestration Potential In Hydroponic Systems, Sakalya Rajapakse, Munehiro Tanaka Jan 2026

Influence Of Rice Hull Biochar And Cedar Bark Media On Strawberry Productivity And Carbon Sequestration Potential In Hydroponic Systems, Sakalya Rajapakse, Munehiro Tanaka

Research outputs 2022 to 2026

This study evaluated the influence of rice hull biochar (RHB) and cedar bark media (CBM) as sustainable substrates for hydroponic strawberry cultivation. The total yield from virgin CBM was 413 g/plant and that from virgin RHB was 354 g/plant. Used CBM increased the yield by 4 % (429 g/plant) while used RHB increased yield by 18 % (419 g/plant) compared to the virgin, with no significant substrate differences. Fruit yields and physical properties were strongly correlated, particularly with particle density (R2 = 0.573). After 7 years of cultivation, plant residues had accumulated in both substrates. Uncarbonized carbohydrates in RHB indicated …

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Rock On Technology: Perspectives Of People With Neurological Conditions On Robot-Assisted Lower Limb And Gait Neurorehabilitation, Rachel G. Buckingham, Saran Chamberlain, Amanda Timler, Matthew K. Bagg, Nikki E. Bakhtazad, Taya Hamilton, Patricia Martinet, Bianca Haagman, Stuart I. Hodgetts, Barbara Singer, Ann Maree Vallence, Jodie Marquez, Eric Gaitho, Emma Gee, Jessica Nolan Jan 2026

Rock On Technology: Perspectives Of People With Neurological Conditions On Robot-Assisted Lower Limb And Gait Neurorehabilitation, Rachel G. Buckingham, Saran Chamberlain, Amanda Timler, Matthew K. Bagg, Nikki E. Bakhtazad, Taya Hamilton, Patricia Martinet, Bianca Haagman, Stuart I. Hodgetts, Barbara Singer, Ann Maree Vallence, Jodie Marquez, Eric Gaitho, Emma Gee, Jessica Nolan

Research outputs 2022 to 2026

Purpose: Explore perspectives of people living with neurological conditions in Western Australia (WA) on robot-assisted lower limb neurorehabilitation (RALLR), and implementation requirements. Materials and methods: This co-designed, qualitative descriptive study included people living with neurological conditions. In-person semi-structured focus groups (FGs) were facilitated by a person with lived experience of stroke. FGs were recorded, data were transcribed, and thematically analysed using a reflexive approach. Results: Five FGs included 24 participants (54.2% women, median age 50 years). Of these, thirteen participants had RALLR experience. Primary neurological conditions represented among participants comprised spinal cord injury (n = 11), stroke (n = 3), …

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Algorithm Envelopment In Platform Markets, Liang Chen, Zhou Zhou, Lester Chan Jan 2026

Algorithm Envelopment In Platform Markets, Liang Chen, Zhou Zhou, Lester Chan

Research Collection Lee Kong Chian School Of Business

The theory of platform envelopment rests on network effects as the key mechanism for value creation, which nonetheless receives mixed support for its efficacy in determining competitive outcomes. We argue that the value of network effects depends on matching quality, which is a function of platform-specific algorithm technology and market-level data-driven learning. In formalizing these conceptualizations, we analyze a model that demonstrates how an entrant with a superior algorithm technology may outcompete an incumbent possessing a user base advantage, a strategy we call “algorithm envelopment.” By considering specific characteristics of data-driven learning, our analysis leads to propositions regarding the entry …

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Regulating Robotaxis, Bryant Walker Smith, Matthew T. Wansley Jan 2026

Regulating Robotaxis, Bryant Walker Smith, Matthew T. Wansley

Articles

In several sunbelt cities, commercial robotaxi service has arrived. The leading robotaxi company is providing over 400,000 trips per week. The industry claims that robotaxis will save lives and provide convenient and affordable mobility. Critics counter that they will increase congestion, undermine transit, and subject the public to ubiquitous surveillance. We argue that the social impact of robotaxis depends on how they are regulated. We emphasize two points missing from the debate. First, some of the benefits of robotaxis may be political rather than technological—some longstanding public policy goals may become viable in a robotaxi world. Second, letting one private …

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Moringa Oleifera As An Immunomodulator, Noha Swilam, Khaled A. Nematallah, Omayma Eldahshan' Jan 2026

Moringa Oleifera As An Immunomodulator, Noha Swilam, Khaled A. Nematallah, Omayma Eldahshan'

Pharmacy

Moringa oleifera has gained increasing attention for its diverse pharmacological properties, including its potential to modulate immune responses. This chapter explores the immunomodulatory potential of M. oleifera, exploring both its phytochemical composition and experimental evidence from in vitro and in vivo studies. Key bioactive constituents, such as flavonoids (quercetin, kaempferol, apigenin), phenolic acids (chlorogenic, ferulic, caffeic), glucosinolates (glucomoringin) and their hydrolysis product, benzyl isothiocyanate, are identified as contributors to its immune-regulating properties. It has been demonstrated that these substances affect cytokine expression, suppress pro-inflammatory mediators, increase phagocytic activity and alter lymphocyte reactions. In order to support the plant's traditional use …

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Harmonic Mitigation And Reactive Power Support Using Dpfc And Upfc In Grid‑Connected Solar Pv Systems: A Comparative Performance Evaluation, Abhishek Vashistha, Dharmbir Prasad, Rudra Pratap Singh Jan 2026

Harmonic Mitigation And Reactive Power Support Using Dpfc And Upfc In Grid‑Connected Solar Pv Systems: A Comparative Performance Evaluation, Abhishek Vashistha, Dharmbir Prasad, Rudra Pratap Singh

Mansoura Engineering Journal

Harmonic distortion, reactive power imbalance, and voltage instability represent major challenges regarding the power quality of grid-connected solar photovoltaic (PV) systems. Various recently developed flexible AC transmission system (FACTS) devices such as the unified power flow controller (UPFC) and distributed power flow controller (DPFC), however, have made them possible solutions but still do not provide a quantitative comparison in similar dynamic conditions. In this paper, comparative performance analysis of UPFC and DPFC in 3 MW grid connected solar PV system using Matlab Simulink is presented. The two controllers are affected by same disturbances, namely irradiance step change at t = …

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Performance Enhancement Of A Fully Integrated Solar Still Using Flat Plate Collector, Reflector, And Evaporative Cooling System, Joe Patrick Gnanaraj Sundararaj, Vanthana Jeyasingh Jan 2026

Performance Enhancement Of A Fully Integrated Solar Still Using Flat Plate Collector, Reflector, And Evaporative Cooling System, Joe Patrick Gnanaraj Sundararaj, Vanthana Jeyasingh

Mansoura Engineering Journal

Water scarcity has become a major global concern due to increasing population growth, industrialization, and depletion of freshwater resources. Solar desalination is considered an eco-friendly and sustainable solution, especially for rural and off-grid regions where conventional water treatment facilities are limited. However, conventional solar stills suffer from low productivity, which restricts their practical application. In this study, a fully integrated solar still system was designed and fabricated by incorporating a flat plate collector, front-wall reflector, and passive evaporative cooling arrangement. The system was experimentally tested under natural climatic conditions over seven consecutive days to evaluate temperature variation, distillate yield, and …

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A Hybrid Geoid Model For The Perlis Region, Malaysia Based On Cadastral Reference Marks And A Geometric Approach, Muhammad Aiman Haiqal Abdul Malek, Muhammad Faiz Pa’Suya, Ramazan Alpay Abbak, Ami Hassan Md Din, Noorfatekah Talib Jan 2026

A Hybrid Geoid Model For The Perlis Region, Malaysia Based On Cadastral Reference Marks And A Geometric Approach, Muhammad Aiman Haiqal Abdul Malek, Muhammad Faiz Pa’Suya, Ramazan Alpay Abbak, Ami Hassan Md Din, Noorfatekah Talib

Mansoura Engineering Journal

This study presents the development of a high-resolution local geoid model for the Perlis region, Malaysia, using a geometric approach that integrates GNSS-levelling benchmarks with Cadastral Reference Mark (CRM) data. A total of 38 GNSS-levelling benchmarks were used as reference points, while 3,725 CRMs were incorporated to significantly enhance spatial coverage for geoid modelling. Orthometric heights at the CRM points were first determined by transferring heights from the reference benchmarks using gravimetric geoid information. Subsequently, geometric geoid heights were computed from the differences between ellipsoidal and orthometric heights. Five interpolation techniques were evaluated to generate the geometric geoid surface, namely …

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An Iterative & Analytical Hybrid Deep Learning Framework For Enhanced Brain Tumor Detection And Segmentation In Mri Video Scans, Swati V. Sakhare Jan 2026

An Iterative & Analytical Hybrid Deep Learning Framework For Enhanced Brain Tumor Detection And Segmentation In Mri Video Scans, Swati V. Sakhare

Mansoura Engineering Journal

The critical need for accurate and robust brain tumor detection in MRI video scans is for early diagnosis and treatment planning operations. However, the existing methods suffer from several limitations, such as not being able to capture spatio-temporal features, handling class imbalances, and generalizing across datasets with diverse characteristics. To address these challenges, I propose a hybrid deep learning framework that integrates multiple advanced techniques to enhance the detection and segmentation of brain tumors. My approach starts by using the 3D CNN-LSTM (ResNet3D-LSTM) to extract spatio-temporal feature, which utilizes ResNet3D for spatial detail extraction and LSTM for temporal coherence across …

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Comparative Finite Element Method-Based Optimisation Of Coir Fibre Laminates: Aluminium Skins Versus Carbon Cloth Skins, Muhamed Swaleh Ahmed, Bernard Wamuti Ikua, Abel Nyakundi Mayaka Jan 2026

Comparative Finite Element Method-Based Optimisation Of Coir Fibre Laminates: Aluminium Skins Versus Carbon Cloth Skins, Muhamed Swaleh Ahmed, Bernard Wamuti Ikua, Abel Nyakundi Mayaka

Mansoura Engineering Journal

Natural fibre composites offer a sustainable alternative to conventional composite materials. Their mechanical efficiency is influenced by laminate structure and skin material selection. This study presents a comparative finite element analysis and optimisation of coir fibre-reinforced laminates employing either aluminium skins or carbon cloth skins. COMSOL Multiphysics was used to determine their mechanical response. Optimisation was performed using the BOBYQA algorithm to enhance load sharing between the coir core and skin materials. Results indicated that aluminium-skinned laminates achieve superior compressive and flexural performance, achieving a peak compressive strength of 210 MPa and sustaining a flexural load of 0.65 kN at …

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A Machine Learning–Based Framework For Traffic Classification And Threshold-Based Load Management In 5g Network Slicing, Safi Ibrahim, Younis S. Younis, Kamal S. Hamza, Mohamed M. Ashour Jan 2026

A Machine Learning–Based Framework For Traffic Classification And Threshold-Based Load Management In 5g Network Slicing, Safi Ibrahim, Younis S. Younis, Kamal S. Hamza, Mohamed M. Ashour

Mansoura Engineering Journal

This study proposes a machine learning–based framework that applies machine learning techniques to improve the efficiency of 5G network slicing through automated traffic classification and threshold-based load management . The proposed model optimizes resource allocation among the three standardized 5G slice types: enhanced Mobile Broadband (eMBB), ultra-Reliable Low-Latency Communication (URLLC), and massive Machine-Type Communication (mMTC). Two supervised learning algorithms—K-Nearest Neighbors (KNN) and Support Vector Machine (SVM)—are trained using Quality of Service (QoS) parameters such as packet delay, loss rate, and Quality Class Identifier (QCI). Experimental evaluations were conducted on two large-scale datasets containing over 400,000 traffic instances, demonstrating that the …

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Optimizing The Lightweight Steel Fibre Reinforced Bacterial Concrete With Nano-Silica And Coconut Shell Aggregates Using Taguchi Method, Damodaran Pooja, Mayilsamy Yuvaperiyasamy Jan 2026

Optimizing The Lightweight Steel Fibre Reinforced Bacterial Concrete With Nano-Silica And Coconut Shell Aggregates Using Taguchi Method, Damodaran Pooja, Mayilsamy Yuvaperiyasamy

Mansoura Engineering Journal

Concrete is essential for construction due to its high strength and durability. It supports most modern infrastructure globally. Cement production is a major source of CO₂ emissions, posing serious environmental concerns. Additionally, the rising demand for concrete is straining the limited supply of essential raw materials, such as aggregates. Researchers are examining alternative materials to improve Sustainability while maintaining structural strength to address these issues. This research aims to improve concrete performance by enhancing cement durability with nano-silica. Coconut shell, an agricultural by-product, functions as an eco-friendly alternative to conventional coarse aggregates, alleviating their scarcity. Microbiologically induced calcium carbonate precipitation …

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A Dual-Domain Face Forgery And Deepfake Detection Framework, Neha Pradyumna Bora, Pradyumna Mulchand Bora, Rushikesh Sanjay Kumavat, Raunak Manoj Gangwal, Prit Sandesh Jain, Hardik Vijay Ostwal Jan 2026

A Dual-Domain Face Forgery And Deepfake Detection Framework, Neha Pradyumna Bora, Pradyumna Mulchand Bora, Rushikesh Sanjay Kumavat, Raunak Manoj Gangwal, Prit Sandesh Jain, Hardik Vijay Ostwal

Mansoura Engineering Journal

Concerns about media authenticity, privacy, and information security arising from rapid advances in deepfake technology have made it increasingly important to detect manipulated facial content reliably. The primary goal of our work was to develop a deepfake detection model with high generalization across multiple datasets. To achieve this, we developed a hybrid detection approach that combines spatial visual texture analysis and frequency-domain analysis to detect manipulated facial images. Our approach includes convolutional spatial feature extraction from facial images and frequency—domain representations of the same images obtained by applying the fast Fourier transform. To help alleviate concerns about overreliance on frequency—domain …

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Edge Guided Channel Attention In Fsrcnn: A Novel Approach For Depth Super Resolution, Yagneshkumar Jayantilal Parmar, Paresh M. Dholakia Jan 2026

Edge Guided Channel Attention In Fsrcnn: A Novel Approach For Depth Super Resolution, Yagneshkumar Jayantilal Parmar, Paresh M. Dholakia

Mansoura Engineering Journal

Depth images from low-cost sensors often suffer from blurred edges and structural distortions when processed with standard super-resolution models. While FSRCNN is efficient for RGB images, it struggles to handle the unique geometric requirements of depth maps. To solve this, we propose the Edge Guided Channel Attention FSRCNN (EGCA FSRCNN). This method incorporates an edge-guided modulation mechanism to preserve object boundaries and a Squeeze and Excitation (SE) block to focus on critical structural features. A major benefit of this framework is the use of frozen, pretrained FSRCNN weights, which bypasses the requirement for retraining. Our evaluation on the UTKinect, Middlebury, …

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Multi-Method Energy Optimization: Linear Programming, Hmm Modeling And Arduino-Based Simulations, A.E. El-Alfy, Eman Elayat, M. A. E. Sheta Jan 2026

Multi-Method Energy Optimization: Linear Programming, Hmm Modeling And Arduino-Based Simulations, A.E. El-Alfy, Eman Elayat, M. A. E. Sheta

Mansoura Engineering Journal

This paper presents the simulation and optimization of hybrid energy systems integrating renewable energy and storage technologies. Linear Programming (LP) is utilized to minimize operational costs, while a Hidden Markov Model (HMM) improves reliability by accurately predicting energy flow. Hardware-in-the-loop simulation in Proteus demonstrates efficient energy trading, significantly reducing dependence on conventional sources. The results from a 24-hour analysis show that the system achieves an 87.14% load factor, indicating high efficiency in utilizing the system's rated capacity, 26.23 system reliability, and a 20% improvement in cost efficiency and enhanced sustainability, providing a robust and practical framework for hybrid energy solutions …

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Trident-Bladder: A Resolution-Aware Multimodal System For Robust, Calibrated Bladder Cancer Diagnosis Across Endoscopy, Histopathology, And Liquid Biopsy, K. Sankar, S. Venkata Lakshmi, Gummadi Reshma, V. Gokula Krishnan, M. Ganesan, V. Vijayaraja Jan 2026

Trident-Bladder: A Resolution-Aware Multimodal System For Robust, Calibrated Bladder Cancer Diagnosis Across Endoscopy, Histopathology, And Liquid Biopsy, K. Sankar, S. Venkata Lakshmi, Gummadi Reshma, V. Gokula Krishnan, M. Ganesan, V. Vijayaraja

Mansoura Engineering Journal

Bladder cancer diagnosis demands the integration of cystoscopy, histopathology, and biomarker testing, yet the majority of AI systems continue to be modality, specific and sensitive to acquisition variations. TRIDENT, Bladder is a resolution, aware multimodal framework that we have developed to address this issue. The method combines cystoscopic lesion segmentation, whole, slide image (WSI) molecular subtype prediction, and urine miRNAclinical data through reliability, weighted fusion and a utility, aware decision policy. The endoscopic branch features a quality, gated super, resolution component, resulting in mDice 87.5, sensitivity 92.1%, precision 91.4%, boundary, F1 85.3%, and ECE 0.023 at 32 FPS. mDice on …

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Green Hydrogen-Based Decarbonization Approach For Steel Industry With Hybrid Renewable Energy Sources, Raju Kumar Maurya, Dharmbir Prasad, Rudra Pratap Singh Jan 2026

Green Hydrogen-Based Decarbonization Approach For Steel Industry With Hybrid Renewable Energy Sources, Raju Kumar Maurya, Dharmbir Prasad, Rudra Pratap Singh

Mansoura Engineering Journal

This work provides a micro-pilot techno-economic and environmental assessment of a green hydrogen-driven decarbonization scenario for low-carbon steel production at the capacity of 1 ton steel produced (i.e., requiring 50 kg of green hydrogen). In this work an integrated renewable energy (RE) scenario for the steel production site at Jamuria, West Bengal, India is planned to utilize solar photovoltaic (PV), wind turbines (WTs), battery storage and a diesel backup generator to meet the hydrogen production load from an electrolyzer using HOMER Pro software. The results show that the proposed micro-pilot system produces excess electricity with respect to the plant's operating …

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Finite Element Analysis Of Oxygen Transport In Tissue And Capillaries With A Second Order Metabolic Consumption, Vikash Ramcharitar, Sreedhara Rao Gunakala, Reddappa Bandi, Donna M. G. Dyer, Jagdesh Ramnanan Jan 2026

Finite Element Analysis Of Oxygen Transport In Tissue And Capillaries With A Second Order Metabolic Consumption, Vikash Ramcharitar, Sreedhara Rao Gunakala, Reddappa Bandi, Donna M. G. Dyer, Jagdesh Ramnanan

Mansoura Engineering Journal

This study presents a numerical investigation into the oxygen transport through a Krogh-type capillary-tissue model with second-order tissue metabolism. The governing non-linear equations are solved by implementing a Galerkin finite element method with a fixed-point iteration scheme. The resulting code and solution algorithm were successfully validated against available analytical solutions for zeroth- and first-order kinetics, showing very good agreement. Numerical simulations indicated, that under the parameters investigated, relative to zeroth- and first-order kinetics, a second-order metabolism leads to less overall oxygen consumption within the tissue phase. This yields higher oxygen partial pressures at the outer tissue boundary and higher oxygen …

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Elli’S Liquid Flow In A Wavy Channel With Slip Effect, Wall Properties, And Heat Transfer, P. Devaki, Yatin Sood Jan 2026

Elli’S Liquid Flow In A Wavy Channel With Slip Effect, Wall Properties, And Heat Transfer, P. Devaki, Yatin Sood

Mansoura Engineering Journal

The dual behavior of Elli’s fluid motivated us to work on it. The fluid behaves as both Newtonian/ non-Newtonian based on the low and high shear rates, respectively. The paper focused on the flow of Ellis fluid in a peristaltic channel with wall properties and heat transfer. The channel is symmetric in nature, and slip conditions are considered near the elastic walls. The governing equations of the flow are solved analytically using suitable boundary conditions, which yield velocity and temperature functions. The novelty of the paper is to analyze the nature of Newtonian/non-Newtonian fluids under the same conditions so that …

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Intelligent Audio‑To‑Indian Sign‑Language And Sign‑To‑Audio Translation System Using Mediapipe, Tensorflow, Whisper And Google Tts, N. Pothanna, T. Kusuma, S. Haindavi, T. Sreeja, Shaik Shaheem Taj Jan 2026

Intelligent Audio‑To‑Indian Sign‑Language And Sign‑To‑Audio Translation System Using Mediapipe, Tensorflow, Whisper And Google Tts, N. Pothanna, T. Kusuma, S. Haindavi, T. Sreeja, Shaik Shaheem Taj

Mansoura Engineering Journal

Communication barriers between the Deaf community and the general public remain a persistent challenge, particularly in multilingual settings where Indian Sign Language (ISL) is the primary mode of interaction. We propose a real-time bidirectional translation framework integrating MediaPipe for hand landmark extraction, a Convolutional Neural Network (CNN) classifier built with TensorFlow/Keras for gesture recognition, OpenAI Whisper for robust multilingual speech-to-text transcription, and Google TTS for naturalistic speech synthesis. The system achieves 93% classification accuracy across 35 ISL classes (alphabets A–Z and numerals 1–9) on a dataset of 42,700 images, with macro and weighted F1-scores of 0.93. Deployed as a Flask …

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