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85 articles for “driving behavior analysis”
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Photochemical Materials for Light-responsive Optical Switching: AI-optimized Design of Dynamic Visual Effects
Abstract: This paper presents an in-depth investigation into the design and behavior of photochemical materials that generate optical illusions and dynamic visual effects through light-induced molecular transformations. The study focuses on advanced photoresponsive compounds such as azobenzene and spiropyran derivatives, emphasizing their reversible optical transitions governed by photoisomerization, phase transitions, and photochromism in solid-state and polymeric matrices. Spectroscopic and kinetic analyses are employed to evaluate the influence of light wavelength, material …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 13–27 Read article
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Structural Responses of Offshore Jacket Platform Subject to Seismic Ground Acceleration and Wave Forces
Abstract: In this paper, the effect of seismic ground acceleration on offshore platforms in the Malaysian waters has been investigated. In the Malaysian region of South China Sea, the conventional practice applied to design of offshore structures is to assume that forces induced on the platforms due to waves, current and wind control the overall response of the structures. Seismic analysis is not conducted since Malaysia is not located in a …
Published in Journal of Offshore Structure and Technology · Vol. 1, Issue 2, 2014 · pp. 15–23 Read article
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DRIVER ANTI-SLEEP ALARMING AND PROTECTION
Abstract: Road accidents due to driver drowsiness is one of the biggest problems worldwide, which kills thousands of people every year. Fatigue slows the reaction time, reduces the concentration, and, most importantly, impairs the judgment, thus making drowsy driving as dangerous as drunk driving. To reduce such accidents, various technologies have been employed to develop driver anti-sleep devices. These include sensor-based detection, camera-based eye monitoring, EEG analysis, and real-time alert systems. …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 Read article
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CMC/SWCNT Nanocomposites for Sustainable Smart Metering Sensors: Percolation-Driven Structure–Property Optimization, Experimental Validation, and Literature Benchmarking
Abstract: Biodegradable sensing materials are needed for sustainable smart electricity metering, yet cellulose/single-walled carbon nanotube (SWCNT) systems lack a unified percolation and structure–property description. This study develops carboxymethyl cellulose (CMC)/SWCNT nanocomposite films by solution casting, with SWCNT loadings of 0.0–5.0 wt%, and evaluates their electrical, mechanical, thermal, sensing, and biodegradation behavior. Percolation analysis of the insulator-to-conductor transition gave a critical threshold (φc) of 0.9 ± 0.1 wt% and a critical exponent …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Emotions and Artificial Intelligence in Finance: Exploring the Relationship
Abstract: The integration of Artificial Intelligence (AI) into financial systems has profoundly transformed the industry, providing unprecedented efficiency, accuracy, and speed in decision-making processes. These technological advancements have streamlined operations, reduced human errors, and enabled more informed decision-making based on vast datasets analyzed in real-time. However, the role of emotions in finance remains a critical factor that cannot be ignored. Human emotions, such as fear, greed, and optimism, frequently drive market …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 11–17 Read article
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Detection of Distributed Denial of Service Attack by Hidden Markov Model through Web Proxy System
Abstract: Nowadays the attack against the computer system is becoming very common andvulnerable. Indirect web proxy distributed denial of service attack is an increasinglycommon internet phenomenon and is capable of making the internet services unavailable.Such type of attacks cannot be easily discovered by most existing defense systems sincemalicious traffic is hidden in the aggregated traffic. Also the source of the attack trafficand normal traffic cannot be distinguished because both of them …
Published in Journal Of Network security · Vol. 2, Issue 1, 2014 · pp. 13–20 Read article
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Physics-Informed Neural Networks for Multiphysics Analysis of Biomedical Polymer Composite Systems
Abstract: Physics-Informed Neural Networks (PINNs) offer an effective model of solving coupled multiphysics equations in biomedical polymer composite systems, which are data-driven. In the given work, the PINN method is presented where equations of elasticity, mass diffusion, and heat transfer are integrated to model the complex processes that take place in composite biomaterials. The neural network loss is specified to include the governing partial different equations which enables both the system …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Well Integrity and Reservoir Behavior under Sudden Field Shutdowns During Armed Conflicts: A Comprehensive Technical Review
Abstract: In the oil and gas industry, the sudden and unplanned cessation of operations resulting from armed conflicts or pandemics typically poses complex and multifaceted technical challenges to both well integrity and reservoir behavior. Minimal or no opportunity for proper pre-shutdown preservation procedures in unplanned shutdowns, unlike planned shutdowns that follow established operational protocols. The mechanisms and consequences of well integrity degradation and reservoir performance alteration under such conditions are synthesized …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 40–52 Read article
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Characterization of Thermochemical Properties and Combustion Behavior In AP/HTPB Polymer Composite Solid Propellant for Enhanced Performance
Abstract: The thermal decomposition of solid propellants containing hydroxyl-terminated polybutadiene (HTPB) binder is a complex process, driven by multiple interacting chemical and physical factors. Solid propellant combustion characteristics are profoundly influenced by the composition of the propellant, the conditions of pressure, the starting temperature, and a range of aero-thermochemical parameters. The paper explores the influence of polymeric structure in the HTPB binder on thermal decomposition characteristics of the AP/HTPB composite propellants …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 502–511 Read article
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AI-Driven Psychological Profiling on Social Media: Mechanisms, Ethical Breaches, and Regulatory Challenges in Data Inference
Abstract: This literature review examines AI-driven psychological profiling on social media, analyzing 21 academic studies that focus on machine learning techniques such as supervised learning, deep neural networks, sentiment analysis, and natural language processing. These methodologies infer mental health indicators—such as depression, anxiety, and stress—from users' digital footprints, encompassing linguistic patterns, engagement metrics, and temporal behaviors. While these tools offer potential for early detection of psychological distress, they also raise significant …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 1–7 Read article
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Using AIML to Enhance Demand Forecasting in Business
Abstract: Artificial intelligence machine learning (AIML) can play a significant role in enhancing demand forecasting in business. AIML is a programming language designed for creating chatbots and conversational agents, but its application extends beyond simple interactions. In the context of demand forecasting, AIML can be utilized to analyze historical data, customer interactions, and market trends. By implementing AIML algorithms, businesses can create intelligent models that learn from past demand patterns, customer …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 35–40 Read article
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Measuring Microstructure, Wear Resistance, and Mechanical Reliability Enhancement in Polymer Nanocomposites via Data-Driven Analysis with Deep Learning
Abstract: Polymer nanocomposites have gained great attention owing to their superior mechanical performance, better wear resistance and customizable microstructural properties for aerospace, automotive, medicinal and industrial engineering applications. However, the correct evaluation of the link between the microstructure evolution and the material reliability is a huge issue due to the intricacy of nanoscale interactions and diverse material characteristics. In this study, we propose a data-driven approach that integrates deep learning and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Viscoelastic Behavior and Wrinkle Formation in Cotton- Polyester Garments: A Data-Driven Approach for Textile Care
Abstract: This study investigates the wrinkle behavior of cotton-polyester blended fabrics by analyzing data from over 1,200 store-handled garments. Integrating concepts from polymer chemistry and computer vision, it aims to establish a smart textile care framework based on fiber-specific wrinkle characteristics. The research identifies how cotton’s hydrophilic and non-elastic structure results in increased wrinkling, while polyester’s thermoplastic and crystalline properties enhance wrinkle resistance. Elastomeric fibers like Lycra contribute to wrinkle recovery …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 50–60 Read article
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Consumer Awareness and Adoption Barriers of E-Pharmacy Services in Delhi/NCR: A Mixed-Methods Investigation
Abstract: Background: The rapid digitization of India's pharmaceutical market has positioned e-pharmacies as a transformative force; yet, consumer adoption remains significantly low despite growing awareness. Objectives: This study investigates consumer awareness levels, purchasing behaviors, trust perceptions, and adoption barriers regarding e-pharmacy services among urban Indian consumers. Methods: A sequential explanatory mixed-methods design was employed. Quantitative data were gathered via a structured questionnaire administered to 65 respondents in Delhi. Qualitative insights were …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 · pp. 23–32 Read article
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A Gamified Digital Platform for Sustainable Farming Practices: Simulation, Statistical Analysis, and Water Resource Management Implications
Abstract: Sustainable farming practices play a critical role in enhancing agricultural water use efficiency, conserving limited water resources, and ensuring long-term food security under increasing environmental and climatic pressures. Despite their importance, farmer participation in conventional agricultural extension and training programs remains limited due to low engagement and a lack of sustained motivation. To address this challenge, this study proposes a gamified digital decision-support platform aimed at promoting sustainable agricultural and …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 13–24 Read article
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AI-Driven Precision Nutrition: Advancing Personalized Dietary Systems for Public Health Equity in Resource-Constrained Environments
Abstract: The dual burden of malnutrition and diet-related non-communicable diseases (NCDs) represents a growing global public health challenge, particularly in low- and middle-income countries. Traditional dietary guidelines are largely population-based and fail to account for individual variability in genetics, metabolism, lifestyle, and environmental exposure. This limitation has led to the emergence of precision nutrition, an evolving field that integrates biological data and computational intelligence to deliver personalized dietary recommendations. This paper …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Swarm-Enabled AI for Smart Mobility and Sustainable Transport
Abstract: The significant issues facing the modern urban infrastructure are the management of road traffic problems, such as severe traffic congestion, the detection of unsafe driving behavior, and road safety. The traditional ground-based surveillance systems will be helpful, but they will reach their limits in large and dynamic environments. It is because of predetermined perspectives, blindness, and the inability to scale. To designate these problems, the present study proposes a traffic …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 33–38 Read article
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Autonomous 6G Physical Layer Architectures for Space-Air-Ground Integrated Networks
Abstract: The emergence of sixth generation (6G) wireless systems calls for a significant shift away from conventional deterministic communication models. As communication infrastructures evolve into Space- Air-Ground Integrated Networks (SAGIN), traditional physical layer (PHY) techniques struggle to operate effectively under the severe Doppler effects and long propagation delays associated with space environments. This paper examines the role of artificial intelligence embedded directly within the 6G transceiver architecture to enable ultra-reliable and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 · pp. 21–31 Read article
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Role of Fluid Engineering in Biomedical and Healthcare Systems: A Comprehensive Review
Abstract: Fluid engineering — the study and application of fluid behavior, transport, and interaction — has become a cornerstone of modern biomedical and healthcare systems. This review synthesizes the multifaceted roles fluid engineering plays across diagnostics, therapeutics, biomedical devices, and physiological modeling. Micro-fluidics enables precise manipulation of microliter and nanoliter volumes, facilitating rapid point-of-care diagnostics, high-throughput screening, and the fabrication of uniform nano particles for targeted drug delivery. In cardiovascular medicine, …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–5 Read article
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Polymer Matrix-Based High-Performance Thermoplastic Composites for Automotive Applications: Design, Characterization, and Interface Behavior
Abstract: The study emphasizes the role of high-performance thermoplastic polymer matrices such as PEEK, PPS, and PA6, selected for their superior thermal stability, mechanical strength, and recyclability in automotive environments. The expanded usage of electric vehicles (EVs) and self-driving transportation creates a demand for advanced materials which are weight-conscious yet high in strength relative to their weight, impact-resistant yet still being environmentally friendly. This study aims to create and define fiber-reinforced …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 216–237 Read article