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Thiol-Based Neuroprotective Copolymers Acutely Restore Redox Metabolism And Mediate Vasogenic Edema In A Mouse Model Of Traumatic Brain Injury, Evan T. Curtis, Brandon Z. Mcdonald, Aria W. Tarudji, Aaron M. Priester, Anthony J. Convertine, Forrest M. Kievit Jul 2026

Thiol-Based Neuroprotective Copolymers Acutely Restore Redox Metabolism And Mediate Vasogenic Edema In A Mouse Model Of Traumatic Brain Injury, Evan T. Curtis, Brandon Z. Mcdonald, Aria W. Tarudji, Aaron M. Priester, Anthony J. Convertine, Forrest M. Kievit

Materials Science and Engineering Faculty Research & Creative Works

Effective pharmaceutical interventions for treating the secondary damage associated with traumatic brain injury (TBI) are limited due to poor delivery into the brain, insufficient target engagement, and an incomplete understanding of the pathophysiological changes that occur post-impact. Thus, nanoparticles (NP), which have an enhanced permeation and retention-like effect within the perturbed blood-brain barrier, have grown as a potential candidate for treating TBI. We have investigated the antioxidant capacity of thiol-based NP, termed neuroprotective copolymers (NPC3), and their ability to neutralize reactive oxygen species (ROS) and lipid peroxidation products (LPOx). Here, we assessed the efficacy of NPC3 for alleviating the secondary …

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Vehicle Autonomy To Ecosystem Intelligence: A Systematic Review Of Dynamic Vision Architectures In Surface Mining Operations, Nana Yaa Damtewaa Anti, Samuel Frimpong, Muhammad Azeem Raza Jul 2026

Vehicle Autonomy To Ecosystem Intelligence: A Systematic Review Of Dynamic Vision Architectures In Surface Mining Operations, Nana Yaa Damtewaa Anti, Samuel Frimpong, Muhammad Azeem Raza

Mining Engineering Faculty Research & Creative Works

Autonomous Haulage Systems (AHS) have significantly transformed surface mining operations by improving safety, productivity, and operational consistency. Currently, AHS predominantly rely on vehicle-centric perception architectures. Onboard LiDAR, radar, cameras, and Global Navigation Satellite Systems (GNSS) perform sensing, interpretation, and decision-making within individual systems. These processes enable collision avoidance and path tracking. However, they are limited in their ability to consider the broader, dynamic mining environment characterized by dust, terrain degradation, geotechnical instability, heterogeneous traffic, and rapidly evolving operational conditions. This paper presents a systematic review of dynamic vision systems of AHS in surface mining. It critically analyzes the transition from …

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Finite-Temperature Grain-Boundary Segregation In High-Entropy Carbides, Marium M. Mou, Tarek Md Anamul Haque, Samuel E. Daigle, Josiah Roberts, William G. Fahrenholtz, Jon Paul Maria, Douglas E. Wolfe, Eva Zurek, Stefano Curtarolo, Donald W. Brenner Jul 2026

Finite-Temperature Grain-Boundary Segregation In High-Entropy Carbides, Marium M. Mou, Tarek Md Anamul Haque, Samuel E. Daigle, Josiah Roberts, William G. Fahrenholtz, Jon Paul Maria, Douglas E. Wolfe, Eva Zurek, Stefano Curtarolo, Donald W. Brenner

Materials Science and Engineering Faculty Research & Creative Works

High-entropy carbides are promising candidates for extreme-temperature environments, but their grain-boundary chemistry remains difficult to resolve because segregation involves both chemical disorder and finite-temperature configurational sampling. Here, we quantify temperature-dependent grain-boundary segregation in high-entropy carbides using a universal message-passing atomic cluster expansion (MACE) machine learning interatomic potential combined with a hybrid Monte Carlo–molecular dynamics workflow. A 53.1 (Formula presented.) (Formula presented.) symmetric tilt grain boundary was sampled for six representative high-entropy carbide compositions containing group IV, V, and VI transition metals at 300 and 2000 K. Element-resolved metal-sublattice composition profiles reveal composition-dependent segregation modes. Several chemistries exhibit selective near-boundary enrichment …

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Harnessing Tio2-Based Nanofilaments: A Pathway To Enhanced Optoelectronic Performance In Dye-Sensitized And Perovskite Light Harvesters, Zahraa Ismail, Tarek A. Elmelegy, Hassan Nageh, Sameh Abdellatif Jul 2026

Harnessing Tio2-Based Nanofilaments: A Pathway To Enhanced Optoelectronic Performance In Dye-Sensitized And Perovskite Light Harvesters, Zahraa Ismail, Tarek A. Elmelegy, Hassan Nageh, Sameh Abdellatif

Mechanical Engineering

This study explores the integration of TiO2-based nanofilaments into dye-sensitized solar cells (DSSCs) and perovskite solar cells (PSCs) to enhance their optoelectronic performance. Despite the advancements in one-dimensional lepidocrocite TiO2 nanofilaments, there remains a significant gap in understanding their optical scattering mechanisms and dual applicability in both types of solar cells. We synthesized TiO2 nanofilaments and compared their performance to conventional P25 TiO2 in terms of morphology, electrical, and optical properties. The results indicate that the DSSC utilizing nanofilaments achieved a short-circuit current density of 8.2 mA/cm² and a power conversion efficiency (PCE) of 6.9%, compared to 7.1 mA/cm² and …

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Subspace Decomposition For Spatial Parameter Estimation, Arthur Grik Jul 2026

Subspace Decomposition For Spatial Parameter Estimation, Arthur Grik

USF Tampa Graduate Theses and Dissertations

Passive emitter localization is an important capability for wireless sensing, interference detection, and spectrum awareness. Classical timing-based localization methods estimate emitter position from differences in signal arrival time across distributed sensor platforms, but their performance depends on precise receiver synchronization and favorable signal bandwidth characteristics. This thesis investigates subspace-decomposition-based spatial parameter estimation as an alternative approach in which directional information is extracted from coherent antenna-array measurements. This work develops the theoretical foundation and signal-processing framework for angle-of-arrival estimation. Various spatial parameter estimators are presented as supporting array-processing methods before focusing on a well-known subspace-decomposition-based approach called the Multiple SIgnal Classification …

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Anomaly Management In Unmanned Aerial Vehicles: A Systematic Literature Review, Ivan Tan Wei Han, Christopher M. Poskitt, Lingxiao Jiang, Lwin Khin Shar Jul 2026

Anomaly Management In Unmanned Aerial Vehicles: A Systematic Literature Review, Ivan Tan Wei Han, Christopher M. Poskitt, Lingxiao Jiang, Lwin Khin Shar

Research Collection School Of Computing and Information Systems

Unmanned Aerial Vehicles (UAVs) are increasingly deployed in safety-critical applications such as logistics, surveillance, disaster response, and urban air mobility. While their autonomy enables powerful capabilities, it also introduces vulnerabilities due to hardware faults, software defects, communication failures, and adversarial interference. This survey presents a comprehensive review of research studies closely related to UAV anomalies published between 2015 and 2025, covering 111 papers from academic and industrial sources. We introduce a unified five-pillar taxonomy—anomaly generation, prevention, detection, recovery, and analysis—that organizes existing work across the full anomaly management lifecycle. In contrast to prior surveys that focus primarily on detection algorithms, …

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A Century Of Safer Skies: Statistical Insights Into Aviation Accidents And Death Rates, Abhijeet Regmi Jun 2026

A Century Of Safer Skies: Statistical Insights Into Aviation Accidents And Death Rates, Abhijeet Regmi

Journal of Aviation Technology and Engineering

The purpose of this study is to determine whether the recent advancements in the technology used for aircraft maintenance and repair have resulted in an increase or decrease in the accident and fatality rates of aviation incidents and accidents. The primary concerns are the extremely low survival rates in aviation accidents and the necessity to determine whether or not the accident and fatality rates are declining in light of recent technological advancements. If the rate is rising, we must prioritize passenger and crew safety more and adhere to tight regulations when performing repairs and maintenance. The data were compared for …

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Aspirational Mirrors: A Conceptual Model Of Alumni-Led Near-Peer Outreach For Precollege Engagement In Ocean Engineering, Habibi Palippui, Juswan Sade Jun 2026

Aspirational Mirrors: A Conceptual Model Of Alumni-Led Near-Peer Outreach For Precollege Engagement In Ocean Engineering, Habibi Palippui, Juswan Sade

Journal of Pre-College Engineering Education Research (J-PEER)

Precollege students in Indonesia, especially in rural and coastal regions, often lack exposure to engineering disciplines due to social, geographic, and informational barriers. This essay proposes a conceptual model of alumni-led near-peer outreach as an affective and culturally grounded mechanism to engage high school students in ocean engineering. Drawing from theories of social similarity, possible selves, and engineering identity, the model conceptualizes alumni as “aspirational mirrors” who influence students not merely through information but also through identification. The model outlines four primary mechanisms—social connection, narrative engagement, aspirational mirroring, and early identity activation—and also accounts for contextual variables such as school …

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Emerging Technologies For Safety Risks Management On Nigerian Road Construction Projects, Ranti Taibat Adebiyi, Mujidat Olubola Babalola, Richard Olushola Olupeka, Ganiyu Amuda Yusuf, Lukman Olarewaju Olorunoje, Amina Damola Amuda Jun 2026

Emerging Technologies For Safety Risks Management On Nigerian Road Construction Projects, Ranti Taibat Adebiyi, Mujidat Olubola Babalola, Richard Olushola Olupeka, Ganiyu Amuda Yusuf, Lukman Olarewaju Olorunoje, Amina Damola Amuda

BAU Journal - Science and Technology

High level of safety risk on road construction projects remains a major concern for all industry stakeholders, as safety of workers is paramount to achieving project success. Managing construction safety requires a more comprehensive approach. New technologies have recently emerged to enhance construction safety. This study examines the level of adoption and barriers to the implementation of these technologies in safety risk management on road construction sites in Lagos, Nigeria, with a view to improving the safe delivery of the road projects. A questionnaire was designed and administered to two engineers and one worker randomly selected on each of sixty-one …

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Static Analysis-Based Android Malware Detection (2021–2026): A Systematic Survey And Taxonomy, Ali Hussein Mohammed Ali, Musaab Riyadh Abdulrazzaq Jun 2026

Static Analysis-Based Android Malware Detection (2021–2026): A Systematic Survey And Taxonomy, Ali Hussein Mohammed Ali, Musaab Riyadh Abdulrazzaq

Al-Esraa University College Journal for Engineering Sciences

Android malware is not only increasing in size and sophistication but is also a challenge to be detected on a large scale. Static analysis is popular due to its ability to detect malware without running applications or tracing run-time events. However, features, datasets, labeling methods, and assessment methodology differ, which makes studying performance difficult. This is a systematic study of 78 peer reviewed articles written between 2021 and 2026 regarding the Android malware detection by static analysis. In each of the studies, the current survey cover the following feature source, feature representation and engineering, learning paradigms, datasets and labeling methods, …

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Guided Mind Mapping For Enhancing Spatial Thinking In First-Year Architectural Design Studios, Noor Ayad Rashid, Mustafa Kamil Al-Khafaji Jun 2026

Guided Mind Mapping For Enhancing Spatial Thinking In First-Year Architectural Design Studios, Noor Ayad Rashid, Mustafa Kamil Al-Khafaji

Al-Esraa University College Journal for Engineering Sciences

Spatial thinking constitutes a core cognitive ability in early architectural design education, enabling students to interpret, organize, and transform spatial relationships into coherent architectural configurations. Despite its importance, studio practice often indicates that first-year students rely on surface-level representation rather than engaging in structured spatial reasoning, which leads to fragmented compositions and weak spatial coherence. Accordingly, this study investigates the following research question: To what extent can guided mind mapping support the development of spatial thinking in early architectural design studios? A quasi-experimental design was adopted to examine the impact of structured visual–cognitive guidance on students' spatial reasoning. The study …

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Real-Time Adaptive Control Of Machining Parameters In Cnc Milling Using An Ensemble Digital Twin And In-Process Vibration Monitoring For Enhanced Surface Integrity, Ali Qasim Abdulwahid Jun 2026

Real-Time Adaptive Control Of Machining Parameters In Cnc Milling Using An Ensemble Digital Twin And In-Process Vibration Monitoring For Enhanced Surface Integrity, Ali Qasim Abdulwahid

Al-Esraa University College Journal for Engineering Sciences

Achieving consistent surface integrity in CNC milling under varying materials and degraded tool conditions remains a critical challenge because fixed cutting parameters often induce regenerative chatter, accelerate tool wear, and cause surface and subsurface damage. This paper presents an integrated solution that combines an Ensemble Digital Twin (EDT), real-time in-process vibration monitoring, and a hybrid adaptive controller to maintain high surface quality while preserving productivity. The EDT fuses a physics-based milling dynamics model with a recurrent LSTM surrogate through a context-aware meta-learner that weights model outputs by process state (e.g., tool wear, engagement). A compact real-time monitoring pipeline computes a …

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Evaluation Of Mimo Antenna Configurations For High Data-Rate Systems, Ammar Abdulimam Abbood Jun 2026

Evaluation Of Mimo Antenna Configurations For High Data-Rate Systems, Ammar Abdulimam Abbood

Al-Esraa University College Journal for Engineering Sciences

This paper introduces a new design of cat-shaped antenna in super wideband (SWB) and high data-rate multiple input multiple output (MIMO) systems. The single-element SWB antenna has a wide frequency range of 2.23 GHz up to more than 100 GHz with outstanding bandwidth ratio (BW Ratio = 44.84:1), fractional bandwidth (FBW = 191%), bandwidth dimensional ratio (BDR = 5567) and a peak gain of 9.52 dB. The single antenna was also expanded to 2 × 2 MIMO array to further improve performance on multipath environments. Measurements and simulation show very good results using radiation patterns, isolation, channel capacity loss (CCL), …

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An Intelligent System For Managing High-Priority Vehicle Routing In Smart Cities Using Artificial Intelligence And Spatial Data Analytics, Bahjat Abdulelah Madhloom Jun 2026

An Intelligent System For Managing High-Priority Vehicle Routing In Smart Cities Using Artificial Intelligence And Spatial Data Analytics, Bahjat Abdulelah Madhloom

Al-Esraa University College Journal for Engineering Sciences

In developing metropolises, there is a risk to public safety in addition to the usual traffic jams. Traffic delays can have life-altering effects every second that fire trucks and ambulances are delayed. Large cities like Baghdad, which suffer from haphazard road sealing and incompetent traffic management, are especially affected, creating daily emergency crisis problems. We create a new intelligent routing system for these top priority vehicles in order to solve this life-or-death problem. Our method uses a trained model with real-time spatial information instead of outdated static maps. A Long Short-Term Memory (LSTM) neural network at its core constantly forecasts …

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Video Compression Optimization Techniques Using Artificial Intelligence: Review/Review Article, Amal Abbas Kadhim, Wedad Abdul Khuder Naser, Nada Abdulkareem Hameed Jun 2026

Video Compression Optimization Techniques Using Artificial Intelligence: Review/Review Article, Amal Abbas Kadhim, Wedad Abdul Khuder Naser, Nada Abdulkareem Hameed

Al-Esraa University College Journal for Engineering Sciences

Compressing video is an important and essential function in today's multimedia systems as it enables the efficient storage and transmission of large volumes of video data. The proliferation of high-resolution videos that are being used in various application areas such as video streaming, video conferencing, surveillance, and autonomous systems has caused the strong demand for more efficient compression algorithms. This paper presents an in-depth review of video compression techniques with particular focus on AI methods. It also discusses traditional video coding standards including H. 264/AVC, H. 265/HEVC, and AV1, including motion estimation, transform coding quantization entropy coding, and rate-distortion optimization. …

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Adaptive Modulation Techniques To Enhance Ofdm System Performance, Alaa Aqeel Mohammed Jun 2026

Adaptive Modulation Techniques To Enhance Ofdm System Performance, Alaa Aqeel Mohammed

Al-Esraa University College Journal for Engineering Sciences

The fourth-generation (4G) mobile communication is supposed to combine a broad coverage of services, including high-speed data, video streaming, multimedia applications and voice transmission, into a single scale. Adaptive OFDM (AOFDM) is among the most popular techniques proposed to meet this objective in which the settings of the transmission are dynamically optimized to the prevailing changing conditions of the channel fading. This paper is concerned with the adaptive modulation in OFDM. We find out the performance of un-coded adaptive modulation on the schemes of QAM and PSK. An effort to use convolutional coding is also integrated into the structure of …

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Design And Development Of Solar-Powered Water Desalination Systems, Salam Ali Hassoon Alabooda Jun 2026

Design And Development Of Solar-Powered Water Desalination Systems, Salam Ali Hassoon Alabooda

Al-Esraa University College Journal for Engineering Sciences

Background: Freshwater scarcity and growing energy demand have promoted interest in sustainable desalination technologies, particularly in arid areas like Iraq which has high solar resource and decentralized water supply becomes a key factor. Aim: The purpose of this study was to design and test a solar powered water desalination system that could enhance fresh water productivity, thermal efficiency and quality of water under the climatic conditions of Iraq. Methodology: It was designed as hypothetical pilot-scale system that comprised of a single-slope solar still combined with a flat-plate solar collector, a 200 W photovoltaic-driven circulation pump and 18 kg of phase …

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Comparative Adsorptive Performance Of Clinoptilolite, Purolite, And Mesoporous Carbon (Cmk-3) For Heavy Metals And Hydrocarbons Removal From Real Petrochemical Effluent, Eynas Muhamad Majeed, Nuha Muhsen Ali Jun 2026

Comparative Adsorptive Performance Of Clinoptilolite, Purolite, And Mesoporous Carbon (Cmk-3) For Heavy Metals And Hydrocarbons Removal From Real Petrochemical Effluent, Eynas Muhamad Majeed, Nuha Muhsen Ali

Al-Esraa University College Journal for Engineering Sciences

Petrochemical activities result in the generation of effluent that contain highly toxic heavy metals and oil products, which are very hazardous to the environment. The research tries to examine the adsorption capacity of three materials synthetic clinoptilolite, synthetic Purolite, and synthesized mesoporous carbon (CMK-3) in the removal of Ni2+, Cd2+, Pb2+, benzene, and toluene present in real refinery effluent obtained at Al-Dora Refinery in Iraq (Baghdad). The experiments were carried by batch adsorption that investigated the equilibrium behavior, kinetic performance, and the influence of ionic strength and organic co-contaminants. The heavy metal adsorption was …

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Interaction Design In Museum Architecture: A Contemporary Developmental Vision For The Iraqi Museum, Afaf Abdel Sahib Mohammed, Enas Salim Abdulahaad Jun 2026

Interaction Design In Museum Architecture: A Contemporary Developmental Vision For The Iraqi Museum, Afaf Abdel Sahib Mohammed, Enas Salim Abdulahaad

Al-Esraa University College Journal for Engineering Sciences

The Iraqi Museum's remaining architectural form and traditional display techniques do not allow for enough interaction between visitors and the items, despite the museum's great heritage and cultural value. This between visitors and the exhibits. Additionally, the museum does not include interactive technologies and contemporary architecture, which are now essential components of modern museums around the world.This invites the question of how to optimize the Iraqi Museum's visitor experience by applying the principles of interaction design in museum architecture within a contemporary developmental vision. In order to revive the architectural spaces within the Iraqi Museum, the research aims to generate …

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An Ai And Iot Framework For Dynamic Optimization And Sustainability In Smart Cities, Zeinab E. Ahmed, Rashid A. Saeed, Salah Hagahmoodi, Mamoon M. Saeed, Khalid Hamid, Sally D. Abugasim, Eyman F. A. Elsmany Jun 2026

An Ai And Iot Framework For Dynamic Optimization And Sustainability In Smart Cities, Zeinab E. Ahmed, Rashid A. Saeed, Salah Hagahmoodi, Mamoon M. Saeed, Khalid Hamid, Sally D. Abugasim, Eyman F. A. Elsmany

Al-Esraa University College Journal for Engineering Sciences

Smart cities are emerging as a critical solution for creating more efficient, sustainable, and comfortable urban environments. This transformation is primarily driven by the synergistic integration of the Internet of Things (IoT) and Artificial Intelligence (AI). The IoT provides a pervasive network of connected sensors that collect real-time urban data, while AI serves as the analytical engine that processes this information to optimize city-wide systems. This paper presents a comprehensive framework that leverages this AI-IoT convergence for dynamic optimization to achieve long-term urban sustainability. The framework focuses on enabling intelligent, data-driven decision-making across core urban domains. The discussion and analysis …

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Exploiting Uncertainty Of Computational Methodology In Optimizing User Interface In Human-Computer Interaction, Nada Mohamed, Alshaimaa A. Tantawy Jun 2026

Exploiting Uncertainty Of Computational Methodology In Optimizing User Interface In Human-Computer Interaction, Nada Mohamed, Alshaimaa A. Tantawy

Neutrosophic Systems with Applications

Human-computer interaction (HCI) evaluation and optimization of user interfaces (UIs) constitute a complex multi-criteria decision-making challenge, marked by conflicting evaluation dimensions, subjective expert judgments, and inherent uncertainty in user experience assessment. Traditional evaluation approaches, such as heuristic expert reviews and user satisfaction surveys, rely on sharp, binary classifications that fail to capture the gradual and overlapping nature of human cognitive and affective states. This limitation necessitates a more robust uncertainty-aware methodology that can model the true complexity of HCI evaluation. This paper proposes a hybrid mathematical model that integrates various Multi-Criteria Decision Making (MCDM) techniques of Entropy, and Simple Additive …

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Recursive Neutrosophic Superhypergraphs With Illustrative Applications, Takaaki Fujita, Ajoy Kanti Das, Suman Das, Sankar Prasad Mondal, Volkan Duran Jun 2026

Recursive Neutrosophic Superhypergraphs With Illustrative Applications, Takaaki Fujita, Ajoy Kanti Das, Suman Das, Sankar Prasad Mondal, Volkan Duran

Neutrosophic Systems with Applications

Finite hypergraphs generalize ordinary graphs by permitting each hyperedge to join any nonempty set of vertices, and thus provide a natural model for truly multiway interactions. To represent hierarchical and multi-layer structure, SuperHyperGraphs iterate the powerset operation so that set-valued entities created at one level can be treated as vertices at higher levels. Independently, recursive hypergraphs allow edge recursion: an edge may contain not only vertices but also lower-level edges, yielding nested (and possibly self-referential) incidence controlled by a specified recursion depth. In this work we introduce and axiomatize Recursive Neutrosophic SuperHyperGraphs, a unified framework that combines vertex …

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Generative Endurance Logic: An Axiomatic Framework For Reasoning About Outcome-Generating Objects Under Constraints, Hafiz Burhan Ul Haq, Muhammad Nauman Irshad Jun 2026

Generative Endurance Logic: An Axiomatic Framework For Reasoning About Outcome-Generating Objects Under Constraints, Hafiz Burhan Ul Haq, Muhammad Nauman Irshad

Neutrosophic Systems with Applications

This paper introduces Generative Endurance Logic (GEL), a formal framework for studying objects through the outcomes they can produce. In many cases, an object cannot be judged only by a fixed truth value, score, or utility value. A rule, model, action, or strategy may behave well in one situation but fail when the context changes or when small perturbations occur. GEL addresses this issue by treating each object as a generator of outcomes. Each object a is linked to a generation map Ga:X×Ω→Y, where X is the context space, Ω is the …

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Joint Channel And Phase Noise Estimation For Mmwave Ofdm Systems Using Adaptive Kalman Filtering, Kwame Salum Ibwe Jun 2026

Joint Channel And Phase Noise Estimation For Mmwave Ofdm Systems Using Adaptive Kalman Filtering, Kwame Salum Ibwe

Tanzania Journal of Science

This manuscript presents a joint channel and phase-noise estimation framework for millimeter-wave (mmWave) OFDM systems based on an adaptive extended Kalman filter (EKF). The proposed method formulates a unified state-space model that simultaneously tracks time-varying multipath channels and oscillator phase noise, a critical impairment in 5G NR frequency range 2 (FR2) and emerging 6G transceivers. An innovation-based covariance adaptation mechanism is introduced to enhance estimation accuracy while maintaining computational efficiency. Simulation results demonstrate that the proposed approach achieves up to a 5 dB SNR gain at a target BER of 10⁻³, maintains NMSE below 10⁻³ for linewidths up to 200 …

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Review And Analasys Of Explainable Artificial Intelligence Applications In Distributed Systems And Microservices, Latafat Abbas Gardashova, Allahshukur Mirzazada Jun 2026

Review And Analasys Of Explainable Artificial Intelligence Applications In Distributed Systems And Microservices, Latafat Abbas Gardashova, Allahshukur Mirzazada

Chemical Technology, Control and Management

The widespread use of AI systems in important infrastructure, it's very important that algorithmic decision-making processes are clear and easy to understand. Explainable Artificial Intelligence (XAI) has emerged as a vital research domain addressing the opacity in contemporary machine learning models, particularly deep neural networks, which function as inscrutable black boxes. This literature review provides a comprehensive examination of XAI methodologies and their applications in distributed systems, with a particular emphasis on microservice architectures. The review compiles contemporary taxonomies of XAI methods and elucidates the fundamental strategies that facilitate the comprehension of models across various computing environments. This study also …

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Fuzzy-System-Based Correction Of Nonlinearities In Complex Dynamic Plants, Zokhid Ergashboyevich Iskandarov, Tukhtamurod Khayitmurodovich Avezov Jun 2026

Fuzzy-System-Based Correction Of Nonlinearities In Complex Dynamic Plants, Zokhid Ergashboyevich Iskandarov, Tukhtamurod Khayitmurodovich Avezov

Chemical Technology, Control and Management

A method for synthesizing a fuzzy compensating element from the static characteristic of a nonlinear plant is presented. The method transforms the characteristic into a rotated coordinate system, identifies zero crossings and local extreme, maps the characteristic points back to the original coordinates, and uses them to determine the antecedent membership functions and singleton consequents of a zero-order Sugeno inference system. Unlike heuristic rule tuning, the proposed procedure derives the rule base directly from the geometry of the nonlinear characteristic. An adaptive reconfiguration mechanism based on a mismatch indicator is also formulated for operating conditions in which plant parameters vary …

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Management Of Multi-Agent Robotic Systems Using Artificial Intelligence Technologies, A.T. Hamiyev Jun 2026

Management Of Multi-Agent Robotic Systems Using Artificial Intelligence Technologies, A.T. Hamiyev

Chemical Technology, Control and Management

This article addresses the problem of managing multi-agent robotic systems using artificial intelligence technologies. A hybrid model combining the Vision-Language-Action (VLA) architecture with the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm is proposed for the synergetic control of a group of robots. The model is built on the Centralized Training with Decentralized Execution (CTDE) principle, with a Social-Force component incorporated into the reward function to automatically maintain a safe distance between agents. Experiments were conducted in the NVIDIA Isaac Sim environment using a dataset of over 10,000 trajectories and scenarios involving 4 to 16 agents. The results show a 90% …

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Architecture Of The Information System Supporting Information Processing And Decision-Making In Medicine, Isamidin Sidikov, Sanjarbek Bekturdiev Jun 2026

Architecture Of The Information System Supporting Information Processing And Decision-Making In Medicine, Isamidin Sidikov, Sanjarbek Bekturdiev

Chemical Technology, Control and Management

This article examines the architecture of an information system that supports information processing and clinical decision-making in the field of medicine. The system is described using a multilayer functional model that enables the integration, analysis, and efficient utilization of heterogeneous data. The utilization of the BioBERT and XGBoost neural network models at data collection, preparation and analysis, as well as decision-making steps using machine learning and expert systems are summarized. The use of IDEF methodology for modeling medical information system is reviewed and the importance of IDEF0, IDEF1, IDEF1X, IDEF2, and IDEF3 models is emphasized. An efficient paradigmatic model for …

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Li+/Na+ Hybrid Ion Conduction Mechanism In The Superionic Conductor Li3–XNaXZr2Si2Po12, Yi-Hong Wu, Xia Xie, Lei Zhu, Mu-Ran Yu, Guo-Tai Zhang, Jun-Chao Chen, Shu-Ying Sun, You-Wei Wang, Wei-Ping Tang Jun 2026

Li+/Na+ Hybrid Ion Conduction Mechanism In The Superionic Conductor Li3–XNaXZr2Si2Po12, Yi-Hong Wu, Xia Xie, Lei Zhu, Mu-Ran Yu, Guo-Tai Zhang, Jun-Chao Chen, Shu-Ying Sun, You-Wei Wang, Wei-Ping Tang

Journal of Electrochemistry

Hybrid ion conductors that transport multiple ionic conductive species provide a useful platform for understanding how mixed-ion transport governs ionic conductivity within a single phase. However, the controlled introduction of multiple mobile ions into solid-state electrolytes and a mechanistic understanding of their migration within the framework remain challenging. Herein, a skeleton-retained Li+↔Na+ cationic exchange was used to simultaneously induce Li+ and Na+ cations into the NASICON-type framework of Li3–xNaxZr2Si2PO12 (0 < x < 3). We show that the interpenetration of NaO6 and NaO8 coordination polyhedra significantly influences the ionic conductivity of hybrid ion conductors. Computational …

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Compact Low-Profile Dual-Band Microstrip-Fed Monopole Antenna For Wlan And Lte Applications, Hashimu U. Iddi Jun 2026

Compact Low-Profile Dual-Band Microstrip-Fed Monopole Antenna For Wlan And Lte Applications, Hashimu U. Iddi

Tanzania Journal of Engineering and Technology (TJET)

The rapid advancement in wireless communication technologies has led to rising user demand for high-speed data transfer, seamless connectivity, and improved wireless communication efficiency. Therefore, it is inevitable to develop efficient and compact antennas which can support different frequency bands of various wireless system standards in mobile devices. A compact, low-profile microstrip-fed monopole antenna operating in dual bands, 2.45 GHz and 5.8 GHz, and suitable for WLAN and LTE applications is proposed in this study. The proposed antenna’s radiating element was carefully designed using slotting techniques and optimising the various parameters for achieving the required resonance frequency. The proposed compact, …

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