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Articles 26161 - 26190 of 196126

Full-Text Articles in Engineering

Experiential Learning And Exposure To Professional Experience In Civil Engineering Education, Sanjay Tewari Jul 2023

Experiential Learning And Exposure To Professional Experience In Civil Engineering Education, Sanjay Tewari

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Experiential learning is increasingly recognized as a crucial component of modern education, especially in fields like civil engineering, where practical skills and real-world exposure are paramount. This paper explores the various avenues through which civil engineering education can offer professional exposure and experiential learning opportunities. By analyzing the impact of senior seminars, internships, co-ops, undergraduate research, study abroad programs, service learning, student design teams, leadership positions, and involvement in technical and professional student organizations, this paper aims to underscore the importance of these approaches in shaping well-rounded and industry-ready civil engineers.

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A Natural Organic Artificial Synaptic Device Made From A Honey And Carbon Nanotube Admixture For Neuromorphic Computing, Md Mehedi Hasan Tanim, Zoe Templin, Kaleb Hood, Jun Jiao, Feng Zhao Jul 2023

A Natural Organic Artificial Synaptic Device Made From A Honey And Carbon Nanotube Admixture For Neuromorphic Computing, Md Mehedi Hasan Tanim, Zoe Templin, Kaleb Hood, Jun Jiao, Feng Zhao

Electrical and Computer Engineering Faculty Research & Creative Works

Artificial synaptic devices are the essential hardware component in emerging neuromorphic computing systems by mimicking biological synapse and brain functions. When made from natural organic materials such as protein and carbohydrate, they have potential to improve sustainability and reduce electronic waste by enabling environmentally friendly disposal. In this paper, a new natural organic memristor based artificial synaptic device is reported with the memristive film processed by a honey and carbon nanotube (CNT) admixture, that is, honey-CNT memristor. Optical microscopy, scanning electron microscopy, and micro-Raman spectroscopy are employed to analyze the morphology and chemical structure of the honey-CNT film. The device …

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Physiologically Relevant Fluid Shear Stress Induced Receptor Conversion In Hormone Receptor-Positive (Hr+) Breast Cancer, Jonathan James Cuccia Jul 2023

Physiologically Relevant Fluid Shear Stress Induced Receptor Conversion In Hormone Receptor-Positive (Hr+) Breast Cancer, Jonathan James Cuccia

LSU Doctoral Dissertations

Breast cancer is the most common type of cancer among all people in the United States as of 2023 and often has devastating impacts on afflicted patients. Although some treatments show great efficacy against primary breast tumors, none have been able to significantly reduce the mortality rate of breast cancer once it has metastasized to distant sites. In primary, hormone receptor-positive (HR+) breast cancers, endocrine therapies are often used as first-line treatments and are generally well-tolerated. However, as the disease progresses, these previously sensitive cancers can become resistant to endocrine therapies and continue proliferating despite them. Therefore, there is a …

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Development And Calibration Of The Lmrpm Mid-Breton River Sediment Diversion Gate Operations, Emily E. Fertitta Jul 2023

Development And Calibration Of The Lmrpm Mid-Breton River Sediment Diversion Gate Operations, Emily E. Fertitta

LSU Master's Theses

With the rate of coastal land loss in Louisiana, the state is looking for innovative ways to help restore and maintain its coastal wetlands. Sediment diversions are going to be constructed along the Lower Mississippi River to mitigate the issues by diverting river water, sediment and nutrients into adjacent wetlands. Since there are currently no real-world applications of sediment diversions, the Lower Mississippi River Physical Model is a beneficial modeling tool to study the impact sediment diversions and relative sea level rise have on the hydraulics and sediment transport processes in the river. The two river sediment diversions on the …

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Practical Approaches And Guidance To Small Business Organization Cyber Risk And Threat Assessments, Stanley Mierzwa, Aneta Klepacka Jul 2023

Practical Approaches And Guidance To Small Business Organization Cyber Risk And Threat Assessments, Stanley Mierzwa, Aneta Klepacka

Center for Cybersecurity

Cyber-attacks and breaches can occur in any organization type, and the areas of small businesses are not exempt from this nefarious activity. This research note and rapid review provide various cybersecurity tools, guidelines, and frameworks that a small business can consider when embarking on the action to assess its cybersecurity hygiene and defensive stance. The content was pulled together in response to the need for an easy-to-digest approach that a small business utilizes to gain valuable confidence to undertake a self-assessment or third-party review of an organization’s cybersecurity plans. Regarding cybersecurity concerns, doing nothing is not an option, and taking …

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A Review On Membrane Fouling Prediction Using Artificial Neural Networks (Anns), Waad H. Abuwatfa, Nour Al Sawaftah, Naif Darwish, William G. Pitt, Ghaleb A. Husseini Jul 2023

A Review On Membrane Fouling Prediction Using Artificial Neural Networks (Anns), Waad H. Abuwatfa, Nour Al Sawaftah, Naif Darwish, William G. Pitt, Ghaleb A. Husseini

Faculty Publications

Membrane fouling is a major hurdle to effective pressure-driven membrane processes, such as microfiltration (MF), ultrafiltration (UF), nanofiltration (NF), and reverse osmosis (RO). Fouling refers to the accumulation of particles, organic and inorganic matter, and microbial cells on the membrane’s external and internal surface, which reduces the permeate flux and increases the needed transmembrane pressure. Various factors affect membrane fouling, including feed water quality, membrane characteristics, operating conditions, and cleaning protocols. Several models have been developed to predict membrane fouling in pressure-driven processes. These models can be divided into traditional empirical, mechanistic, and artificial intelligence (AI)-based models. Artificial neural networks …

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Twin-Solute, Twin-Dislocation And Twin-Twin Interactions In Magnesium, Materials Yue, Jian Wang, Jian-Feng Nie Jul 2023

Twin-Solute, Twin-Dislocation And Twin-Twin Interactions In Magnesium, Materials Yue, Jian Wang, Jian-Feng Nie

Department of Mechanical and Materials Engineering: Faculty Publications

Magnesium alloys have received considerable research interest due to their lightweight, high specific strength and excellent castability. However, their plastic deformation is more complicated compared to cubic materials, primarily because their low-symmetry hexagonal closepacked (hcp) crystal structure. Deformation twinning is a crucial plastic deformation mechanism in magnesium, and twins can affect the evolution of microstructure by interacting with other lattice defects, thereby affecting the mechanical properties. This paper provides a review of the interactions between deformation twins and lattice defects, such as solute atoms, dislocations and twins, in magnesium and its alloys. This review starts with interactions between twin boundaries …

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Multi-Scale Attention Networks For Pavement Defect Detection, Junde Chen, Yuxin Wen, Yaser Ahangari Nanehkaran, Defu Zhang, Adan Zeb Jul 2023

Multi-Scale Attention Networks For Pavement Defect Detection, Junde Chen, Yuxin Wen, Yaser Ahangari Nanehkaran, Defu Zhang, Adan Zeb

Engineering Faculty Articles and Research

Pavement defects such as cracks, net cracks, and pit slots can cause potential traffic safety problems. The timely detection and identification play a key role in reducing the harm of various pavement defects. Particularly, the recent development in deep learning-based CNNs has shown competitive performance in image detection and classification. To detect pavement defects automatically and improve effects, a multi-scale mobile attention-based network, which we termed MANet, is proposed to perform the detection of pavement defects. The architecture of the encoder-decoder is used in MANet, where the encoder adopts the MobileNet as the backbone network to extract pavement defect features. …

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Ki-Cook: Clustering Multimodal Cooking Representations Through Knowledge-Infused Learning, Revathy Venkataramanan, Swati Padhee, Saini Rohan Rao, Ronak Kaoshik, Anirudh Sundara Rajan, Amit Sheth Jul 2023

Ki-Cook: Clustering Multimodal Cooking Representations Through Knowledge-Infused Learning, Revathy Venkataramanan, Swati Padhee, Saini Rohan Rao, Ronak Kaoshik, Anirudh Sundara Rajan, Amit Sheth

Publications

Cross-modal recipe retrieval has gained prominence due to its ability to retrieve a text representation given an image representation and vice versa. Clustering these recipe representations based on similarity is essential to retrieve relevant information about unknown food images. Existing studies cluster similar recipe representations in the latent space based on class names. Due to inter-class similarity and intraclass variation, associating a recipe with a class name does not provide sufficient knowledge about recipes to determine similarity. However, recipe title, ingredients, and cooking actions provide detailed knowledge about recipes and are a better determinant of similar recipes. In this study, …

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A Perspective Note On Μ_N Σ Baire’S Space, N. Raksha Ben, G. Hari Siva Annam, G. Helen Rajapushpam Jul 2023

A Perspective Note On Μ_N Σ Baire’S Space, N. Raksha Ben, G. Hari Siva Annam, G. Helen Rajapushpam

Neutrosophic Systems with Applications

This paper presents an introduction to many novel types of sets, including μN strongly dense sets, μN strongly nowhere dense sets, μN strongly first category sets, and μN strongly nowhere residual sets. The features of these sets are briefly elucidated. In addition, by the use of these techniques, we have successfully obtained the highly Baire space μN, and it is imperative to elucidate its inherent features.

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A Perspective Note On Μ_N Σ Baire’S Space, N. Raksha Ben, G. Hari Siva Annam, G. Helen Rajapushpam Jul 2023

A Perspective Note On Μ_N Σ Baire’S Space, N. Raksha Ben, G. Hari Siva Annam, G. Helen Rajapushpam

Neutrosophic Systems with Applications

This paper presents an introduction to many novel types of sets, including μN strongly dense sets, μN strongly nowhere dense sets, μN strongly first category sets, and μN strongly nowhere residual sets. The features of these sets are briefly elucidated. In addition, by the use of these techniques, we have successfully obtained the highly Baire space μN, and it is imperative to elucidate its inherent features.

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Heat Transfer To Rolling Or Sliding Drops On Inclined Heated Superhydrophobic Surfaces, Joseph Merkley Furner Jul 2023

Heat Transfer To Rolling Or Sliding Drops On Inclined Heated Superhydrophobic Surfaces, Joseph Merkley Furner

Theses and Dissertations

This thesis examines the time resolved heat transfer to drops rolling or sliding along inclined, subcritical heated non-wetting surfaces. Results were experimentally obtained using IR imaging for a smooth hydrophobic surface and post as well as rib structured superhydrophobic surfaces of varying solid fraction (f_s = 0.06 - 0.5). Tests were performed at varying inclination angle (α = 10, 15, 20, and 25°), drop volume (12, 20, 30, and 40 μL), and surface temperature (T_w = 50, 65, and 80 °C). Rib structured superhydrophobic surfaces were explored for drops moving parallel and perpendicular to the rib structures. The findings indicate …

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A Unified Switched Nonlinear Dynamic Model Of An Electric Vehicle For Performance Evaluation, Dibyendu Khan, Kuntal Mandal, Anjan Kumar Ray, Abdelali El Aroudi Jul 2023

A Unified Switched Nonlinear Dynamic Model Of An Electric Vehicle For Performance Evaluation, Dibyendu Khan, Kuntal Mandal, Anjan Kumar Ray, Abdelali El Aroudi

Department of Electrical and Computer Engineering: Faculty Publications

The advanced modeling and estimation of overall system dynamics play a vital role in electric vehicles (EVs), as the selection of components in the powertrain and prediction of performance are the key market qualifiers. The state-space averaged model and small-signal transfer function model are useful for assessing long-term behavior in system-level analysis and for designing the controller parameters, respectively. Both models take less computation time but ignore the high-frequency switching dynamics. Therefore, these two models could be impractical for the development and testing of EV prototypes. On the other hand, the multi-domain model in available simulation tools gives in-depth information …

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Effect Of The Natural Pozzolanic Basalt On High Strength Concrete, Mohamed Sayed Mohamed Moawad, Abd El-Rahman Ragab, Shimaa Younis Jul 2023

Effect Of The Natural Pozzolanic Basalt On High Strength Concrete, Mohamed Sayed Mohamed Moawad, Abd El-Rahman Ragab, Shimaa Younis

Mansoura Engineering Journal

Concrete is important construction material in civil applications. Portland Cement (PC) is considered the essential component material to produce the concrete, especially in high-strength concrete. Around ranging from 5-7% of CO2 was generated during PC production. Consequently, the concrete and PC production are change in the environment. So; it has become very important for the construction industry to focus on minimizing environmental pollution, energy consumption reduction. Several pozzolanic cementitious materials can be added as a fractional replacement of cement in concrete to reduce PC impact on environmental pollution. Pozzolanic materials include PC as one of its main components as well …

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Adaptive Control Allocation For Unmanned Aerial Vehicles With Model Uncertainties, Eren Sarioglu Jul 2023

Adaptive Control Allocation For Unmanned Aerial Vehicles With Model Uncertainties, Eren Sarioglu

Doctoral Dissertations and Master's Theses

Model uncertainties and effector degradation carry risks to weaken the performance of any aerial system and endanger operation during flight. To this end, over-actuated aerial systems are used in flight operations to take precautions for possible incidents, which may result in improper control or a fall of the aerial vehicle. Adaptive control and adaptive control allocation methods are effective solutions for over-actuated uncertain aerial vehicles to overcome these phenomena because of their ability to estimate unknown effects. In this work, a literature search for control allocation methods is first revealed. An adaptive control allocation solution is introduced and implemented for …

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Assessing The Performance Of Exchange-Correlation Functionals On Lattice Constants Of Binary Solids At Room Temperature Within The Quasiharmonic Approximation, Xiaofei Shao, Peitao Liu, Cesare Franchini, Yi Xia, Jiangang He Jul 2023

Assessing The Performance Of Exchange-Correlation Functionals On Lattice Constants Of Binary Solids At Room Temperature Within The Quasiharmonic Approximation, Xiaofei Shao, Peitao Liu, Cesare Franchini, Yi Xia, Jiangang He

Mechanical and Materials Engineering Faculty Publications and Presentations

The exchange-correlation functional is at the core of density functional theory (DFT) and determines the accuracy of DFT in describing the interactions among electrons/ions in solids and molecules. The strongly constrained and appropriately normed functional (SCAN) and its derivatives, regularized SCAN (rSCAN) and regularized-restored SCAN (r2SCAN), are particularly promising due to their remarkable overall accuracy in the description of various properties while retaining a high computational efficiency as compared to hybrid functionals. However, an exhaustive assessment on the performance of these functionals in predicting the finite-temperature lattice constant of solids is still lacking. Here, we systematically study the room-temperature lattice …

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Nasa Weather Data Based Neural Network Grid Connected Pv System Maximum Power Point Tracking, Oluwatobiloba Mausi Johnson Jul 2023

Nasa Weather Data Based Neural Network Grid Connected Pv System Maximum Power Point Tracking, Oluwatobiloba Mausi Johnson

Theses and Dissertations

Research and development for alternative energy sources that are cleaner, renewable, and have little to no environmental impact have been pushed by the ongoing rise in energy demand, the possibility of a decline in the use of conventional petroleum fuels, and concerns about environmental degradation. Electricity from photovoltaic (PV) systems is significantly better regarded among these alternative sources as a renewable energy source such as wind power, bioenergy, tidal energy, and hydroelectric with a wide application range because it is clean, accessible, and abundant with little to no environmental effect. However, solar energy usage is significantly impacted by the landscape, …

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Plant Stem Undergraduate Symposium, David Britt Jul 2023

Plant Stem Undergraduate Symposium, David Britt

Biological Engineering Faculty Publications

No abstract provided.

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Is There A “Nationwide System” In Field Of Science And Technology In Japan?—Survey Of Semiconductor Technology, Huimin Li, Rongping Mu, Yue Hao Jul 2023

Is There A “Nationwide System” In Field Of Science And Technology In Japan?—Survey Of Semiconductor Technology, Huimin Li, Rongping Mu, Yue Hao

Bulletin of Chinese Academy of Sciences (Chinese Version)

Different scholars interpret the connotations and characteristics of the “Nationwide System” in quite different ways and fail to reach a consensus about whether some measures that Japan implements to tackle key problems are attributed to a “Nationwide System”. On this basis, the work started with the connotations and characteristics of the “Nationwide System” in the field of science and technology, conducted a case study of measures taken by Japan to tackle key technical problems in the semiconductor technology, and analyzed whether these measures embody relevant characteristics of the “Nationwide System” from an empirical perspective, so as to demonstrate whether there …

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A Hybrid Metaheuristic And Computer Vision Approach To Closed-Loop Calibration Of Fused Deposition Modeling 3d Printers, Graig S. Ganitano, Shay V. Wallace, Benji Maruyama, Gilbert L. Peterson Jul 2023

A Hybrid Metaheuristic And Computer Vision Approach To Closed-Loop Calibration Of Fused Deposition Modeling 3d Printers, Graig S. Ganitano, Shay V. Wallace, Benji Maruyama, Gilbert L. Peterson

Faculty Publications

Fused deposition modeling (FDM) is one of the most popular additive manufacturing (AM) technologies for reasons including its low cost and versatility. However, like many AM technologies, the FDM process is sensitive to changes in the feedstock material. Utilizing a new feedstock requires a time-consuming trial-and-error process to identify optimal settings for a large number of process parameters. The experience required to efficiently calibrate a printer to a new feedstock acts as a barrier to entry. To enable greater accessibility to non-expert users, this paper presents the first system for autonomous calibration of low-cost FDM 3D printers that demonstrates optimizing …

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A Molten Salt Test Loop For Component And Instrumentation Testing, T L. Head, Allison M. Berry, Keaton J. Brewster, Robert L. Brown, Hailey N. Burden, Reuben Byrd, Timothy Doty, Jess Dowdy, Kameron A. Hill, R. A. Jinkerson, Timothy J. Kennedy, Ronald C. Laehn, Dakotah Martinez, Samuel L. Mulder, Charles Onstead, Kim L. Pamplin, Dylan C. Pfeifer, Michael B. Ranger, Aaron D. Robison, Nathaniel T. Rowlands, Raymond E. Smith, Matthew T. Steele, R. S. Towell, Travis Towell, Olive Tuyishimire, T. S. Watson Jul 2023

A Molten Salt Test Loop For Component And Instrumentation Testing, T L. Head, Allison M. Berry, Keaton J. Brewster, Robert L. Brown, Hailey N. Burden, Reuben Byrd, Timothy Doty, Jess Dowdy, Kameron A. Hill, R. A. Jinkerson, Timothy J. Kennedy, Ronald C. Laehn, Dakotah Martinez, Samuel L. Mulder, Charles Onstead, Kim L. Pamplin, Dylan C. Pfeifer, Michael B. Ranger, Aaron D. Robison, Nathaniel T. Rowlands, Raymond E. Smith, Matthew T. Steele, R. S. Towell, Travis Towell, Olive Tuyishimire, T. S. Watson

Chemistry and Biochemistry

Molten salt is an effective coolant for a wide range of applications, including nuclear reactors, concentrated solar power, and other high temperature industrial heat transfer processes. The technical readiness level of components and instrumentation for high-temperature molten salt applications needs improvement for molten salt to be more widely adopted. A molten salt test loop was designed, built, and commissioned as a test bed to address these issues. The molten salt test loop at Abilene Christian University was built out of 316 stainless steel with a forced flow centrifugal-type pump, and was instrumented for remote operation. A low-temperature molten nitrate salt …

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An Ai-Based Intervention For Improving Undergraduate Stem Learning, Mohammad Rashedul Hasan, Bilal Khan Jul 2023

An Ai-Based Intervention For Improving Undergraduate Stem Learning, Mohammad Rashedul Hasan, Bilal Khan

Department of Electrical and Computer Engineering: Faculty Publications

We present results from a small-scale randomized controlled trial that evaluates the impact of just-in-time interventions on the academic outcomes of N = 65 undergraduate students in a STEM course. Intervention messaging content was based on machine learning forecasting models of data collected from 537 students in the same course over the preceding 3 years. Trial results show that the intervention produced a statistically significant increase in the proportion of students that achieved a passing grade. The outcomes point to the potential and promise of just-in-time interventions for STEM learning and the need for larger fully-powered randomized controlled trials.

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Coastal Environments: Mine Discharges And Infringements On Indigenous Peoples’ Rights, Charles Kerfoot, Gary Swain, Luis M. Verissimo, Erin Johnston, Carol Maclennan, Daniel Schneider, Noel Urban Jul 2023

Coastal Environments: Mine Discharges And Infringements On Indigenous Peoples’ Rights, Charles Kerfoot, Gary Swain, Luis M. Verissimo, Erin Johnston, Carol Maclennan, Daniel Schneider, Noel Urban

Michigan Tech Publications

Over a century ago, copper mills on the Keweenaw Peninsula of Lake Superior sluiced 64 million metric tonnes (MMT) of tailings into coastal waters, creating a metal-rich “halo”. Here we show that relatively small discharges can spread widely in time and space. Mass Mill (2.9 MMT) dumping into Lake Superior also illustrates the complexity of interactions with Indigenous Peoples. A combination of aerial photos, LiDAR, and a microscope technique for distinguishing end-member particles traces the migration of tailings. The clay fraction spread rapidly across Keweenaw Bay and curled into terminal L’Anse Bay, within tribal Reservation boundaries. The coarse stamp sand …

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Compensation Of Seeding Bias For Particle Tracking Velocimetry In Turbulent Flows, Thomas Barois, Bianca Viggiano, Thomas Basset, Raúl Bayoán Cal, Romain Volk, Mathieu Gibert, Mickael Bourgoin Jul 2023

Compensation Of Seeding Bias For Particle Tracking Velocimetry In Turbulent Flows, Thomas Barois, Bianca Viggiano, Thomas Basset, Raúl Bayoán Cal, Romain Volk, Mathieu Gibert, Mickael Bourgoin

Mechanical and Materials Engineering Faculty Publications and Presentations

When a fluid in turbulent motion is tagged by a nonuniform concentration of ideal tracers, the mean velocity of the tracers may not match with the mean velocity of the fluid flow. This implies that conventional particle tracking velocimetry will not produce the mean flow of a turbulent flow unless the particle seeding is homogeneous. In this work, we consider the problem of mean flow estimation from a set of particle tracks obtained in a situation of nonhomogeneous seeding. To compensate the bias caused by the nonhomogeneous particle seeding, we propose a modified particle tracking velocimetry method. This method is …

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Bound Preserving Numerical Methods For Infiltration, Arnob Barua Jul 2023

Bound Preserving Numerical Methods For Infiltration, Arnob Barua

LSU Master's Theses

Simulating the infiltration process in variably saturated media by solving Richards' Equation (RE) remains a computationally challenging task. The degenerate parabolic nature of RE, along with the strongly nonlinear coefficients, makes it very difficult to obtain accurate solutions with conventional numerical methods unless highly refined meshes are used. That is, in the conventional Finite Element Method (FEM), the grid size has to be fine enough to ensure convergence and limit non-physical oscillations, which is computationally expensive. This research aims to develop a second-order accurate FEM discretization with no non-physical oscillations for RE on unstructured meshes which will converge faster than …

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An Enhanced Adaptive Learning System Based On Microservice Architecture, Abdelsalam Helmy Ibrahim, Mohamed Eliemy, Aliaa Abdelhalim Youssif Jul 2023

An Enhanced Adaptive Learning System Based On Microservice Architecture, Abdelsalam Helmy Ibrahim, Mohamed Eliemy, Aliaa Abdelhalim Youssif

Future Computing and Informatics Journal

This study aims to enhance Adaptive Learning Systems (ALS) in Petroleum Sector in Egypt by using the Microservice Architecture and measure the impact of enhancing ALS by participating ALS users through a statistical study and questionnaire directed to them if they accept to apply the Cloud Computing Service “Microservices” to enhance the ALS performance, quality and cost value or not. The study also aims to confirm that there is a statistically significant relationship between ALS and Cloud Computing Service “Microservices” and prove the impact of enhancing the ALS by using Microservices in the cloud in Adaptive Learning in the Egyptian …

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Risk Assessment Approaches In Banking Sector –A Survey, Mona Sharaf, Shimaa Mohamed Ouf, Amira M. Idrees Ami Jul 2023

Risk Assessment Approaches In Banking Sector –A Survey, Mona Sharaf, Shimaa Mohamed Ouf, Amira M. Idrees Ami

Future Computing and Informatics Journal

Prediction analysis is a method that makes predictions based on the data currently available. Bank loans come with a lot of risks to both the bank and the borrowers. One of the most exciting and important areas of research is data mining, which aims to extract information from vast amounts of accumulated data sets. The loan process is one of the key processes for the banking industry, and this paper examines various prior studies that used data mining techniques to extract all served entities and attributes necessary for analytical purposes, categorize these attributes, and forecast the future of their business …

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News’ Credibility Detection On Social Media Using Machine Learning Algorithms, Farah Yasser, Sayed Abdelmawgoud, Amira M. Idrees Ami Jul 2023

News’ Credibility Detection On Social Media Using Machine Learning Algorithms, Farah Yasser, Sayed Abdelmawgoud, Amira M. Idrees Ami

Future Computing and Informatics Journal

Social media is essential in many aspects of our lives. Social media allows us to find news for free. anyone can access it easily at any time. However, social media may also facilitate the rapid spread of misleading news. As a result, there is a probability that low-quality news, including incorrect and fake information, will spread over social media. As well as detecting news credibility on social media becomes essential because fake news can affect society negatively, and the spread of false news has a considerable impact on personal reputation and public trust. In this research, we conducted a model …

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Visual Question Answering: A Survey, Gehad Assem El-Naggar Jul 2023

Visual Question Answering: A Survey, Gehad Assem El-Naggar

Future Computing and Informatics Journal

Visual Question Answering (VQA) has been an emerging field in computer vision and natural language processing that aims to enable machines to understand the content of images and answer natural language questions about them. Recently, there has been increasing interest in integrating Semantic Web technologies into VQA systems to enhance their performance and scalability. In this context, knowledge graphs, which represent structured knowledge in the form of entities and their relationships, have shown great potential in providing rich semantic information for VQA. This paper provides an abstract overview of the state-of-the-art research on VQA using Semantic Web technologies, including knowledge …

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A Newfangled Interpretation On Fermatean Neutrosophic Dombi Fuzzy Graphs, D. Sasikala, B. Divya Jul 2023

A Newfangled Interpretation On Fermatean Neutrosophic Dombi Fuzzy Graphs, D. Sasikala, B. Divya

Neutrosophic Systems with Applications

Neutrosophic Dombi fuzzy graph is an advancement of the Dombi fuzzy graph and intuitionistic Dombi fuzzy graph. In this paper, we have initiated a new concept of the Fermatean neutrosophic Dombi fuzzy graph. Further, we identified a few products of the direct, cartesian, composition of Fermatean neutrosophic Dombi fuzzy graphs. Also, we examined the related proposition with suitable illustrations with graphs.

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