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520 articles for “ADAS technology”
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Human-Centered AI in Museums: Enhancing Accessibility and Visitor Engagement
Abstract: Artificial intelligence (AI) is being used extensively in museums, which are cultural and learning spaces, to improve accessibility, optimize environmental conditions, and improve visitor experiences. Traditional museum designs are evolving to accommodate the demands of contemporary visitors, as they frequently fall short in properly engaging various audiences. AI-powered tools like augmented reality, machine learning, and smart sensors allow museums to design customized, adaptable spaces. Based on real-time visitor data, these …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 27–33 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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Intelligent Power Quality Enhancement Strategies for PV-Integrated Smart Distribution Networks: A State-of-the-Art Review
Abstract: The rapid integration of photovoltaic (PV) systems into modern power distribution networks has introduced significant challenges related to power quality. Issues such as voltage fluctuations, harmonic distortion, flicker, and reactive power imbalance arise due to the intermittent and nonlinear nature of solar energy generation. This paper presents a concise literature review of various power quality enhancement techniques employed in PV-integrated networks. Key approaches include the use of active power filters …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 1, 2026 · pp. 30–53 Read article
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The Impact of Microservices Architecture on Cloud Application Development and Deployment
Abstract: The purpose of this study is to clarify how the development and deployment procedures of applications are impacted by cloud computing and microservices architecture, as these technologies become more widely used. Applications have moved significantly to the cloud in recent years in order to benefit from lower costs, elastic scalability, and other advantages. Simultaneously, a lot of businesses are switching from monolithic programs to microservices in order to get more …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 33–51 Read article
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Oceanic Temperature Gradient as an Alternative Energy Source
Abstract: World is facing an energy crunch. To respond to the global warming, we either need a supply that has no carbon release or we need to find means to consume less energy. As the supply of non-renewable energy resources is depleting, there is a demand for new energy technologies. Oceans cover almost 70% of the earth’s surface, making them world’s largest solar collector. This paper discusses a new technological approach …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 7, Issue 3, 2016 · pp. 1–6 Read article
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Innovations in Plant Biotechnology: Transforming Horticulture for a Sustainable Future
Abstract: The increasing global demand for sustainable energy sources has intensified interest in biofuels, particularly those derived from algae. Algae-based biofuels offer a promising alternative to traditional fossil fuels due to their high lipid and oil content, rapid growth rates, and adaptability to diverse environments. This review article examines the potential of algae as a biofuel source, focusing on recent advancements in algal cultivation, lipid extraction, and biofuel production technologies. Population …
Published in International Journal of Trends in Horticulture · Vol. 1, Issue 2, 2024 · pp. 24–28 Read article
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Quasar: Quantum-Accelerated Sustainable Anomaly Recognition in Climate Systems
Abstract: Accurate detection of climate anomalies is vital for disaster alleviation and policy making in a sustainable manner, but customary detection methods face the challenges of computational inefficiency and physical inconsistency. In this study, we propose a novel approach called Quantum-Optimized Fuzzy Physics-Informed Neural Networks (QFuzzy-PINNs), which integrates quantum computing, fuzzy logic, and physics-informed deep learning. As a first step, we employ quantum annealing for conventional optimization to adjust multiple Gaussian …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 18–27 Read article
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Integration of Nano Ct and SEM in Study of Marcellus Shale Heterogeneity
Abstract: The increase in exploration and production in shale gas reservoir, and few studies so far reported regarding the general topology of tight reservoir, it is now imperative to critically understand the complexities surrounding the geology of shale reservoirs and its characterization. To understand the transport processes in any shale medium, we need to enhance our knowledge of the geometry and topology of the tight shale rock. The Marcellus Shale has …
Published in Journal of Petroleum Engineering & Technology · Vol. 5, Issue 3, 2015 · pp. 39–51 Read article
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An Overview of Bioinformatics
Abstract: What is bioinformatics? Biology and computer science? How are they related to each other? This question, I believe, could have been raised even in the nineteenth century, when computer and biological technologies were just emerging. The great Louis Pasteur (1822–1895) was researching the relationship between the presence of a particular microorganism and alcohol fermentation in a particular French city. Ada Lovelace, a mathematician who shared Charles Babbage’s vision, was attempting …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 2, 2022 · pp. 8–11 Read article
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Integrating Genetic Algorithms with Lean Manufacturing for Enhanced Production Efficiency
Abstract: Lean manufacturing is a well-established philosophy focusing on the systematic reduction of waste and the ongoing development of value supplied to the customer. It emphasizes efficiency, quality, and adaptability through ideas such as just-in-time production, continuous improvement (Kaizen), and value stream optimization. However, the increased complexity of modern production systems, driven by global rivalry, product variety, and rapid technology innovation, has shown the limitations of classic lean tools in achieving …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 38–43 Read article
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AI-Powered Fire Detection System for Accurate and Timely Emergency Response
Abstract: AI-based fire detection system leverages deep learning and Open CV. Issues with conventional fire detection techniques include false alarms and expense. The proposed system uses deep learning for real-time fire detection in videos, enhancing accuracy and adaptability. OpenCV aids in crowd counting, improving situational awareness during emergencies. This innovation promises to revolutionize fire safety by offering timely and precise detection, potentially saving lives and property. Additionally, by counting crowds, the …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 30–36 Read article
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Electronics and Communication Design of an AI-Powered Smart Chair for Real-Time Multilingual Interaction
Abstract: Revolutionizing the passive listening experience, a smart chair designed for presentation attendees goes far beyond mere cushioning, dynamically adapting to individual posture and offering ergonomic support to combat fatigue during lengthy sessions. Equipped with integrated sensors, these intelligent seats can subtly prompt listeners to adjust their position for optimal comfort and focus, sometimes even providing gentle haptic feedback for key takeaways or to signal important transitions in the presentation. Furthermore, …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 16–29 Read article
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The Role of Artificial Intelligence in Automating Incident Response in Cloud-Based Cybersecurity
Abstract: As cloud computing continues to gain traction across industries, the complexity and scale of cloud environments present significant challenges to traditional cybersecurity practices. The dynamic and distributed nature of cloud infrastructures necessitates agile and effective incident response mechanisms to detect, analyze, and mitigate threats in real-time. However, conventional incident response methods often fall short due to the growing sophistication of cyber threats and the vast amounts of data generated in …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 15–24 Read article
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Role of Beowulf Clusters in Next-Generation Military Applications: A Comprehensive Study
Abstract: Beowulf clusters, which utilize cost-effective commodity hardware combined with open-source software for parallel computing, have emerged as a viable and efficient solution for high-performance computing needs. This paper explores their growing relevance and practical applications in modern and future military technologies. Contemporary military operations increasingly rely on rapid data processing, real-time intelligence, high-fidelity simulations, and autonomous decision-making systems. Beowulf clusters offer scalable and adaptable computational power that supports these demands …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article
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Metamaterial-Based Thermal Shielding Structures for Reusable Hypersonic Space Transportation Systems
Abstract: The rapid development of reusable hypersonic space transportation systems has intensified the need for advanced thermal protection technologies capable of withstanding extreme aerodynamic heating conditions encountered during atmospheric re-entry and sustained hypersonic flight. Conventional thermal shielding materials often suffer from high structural weight, limited adaptability, thermal fatigue, and degradation under repeated thermal cycling. This study proposes a novel Metamaterial-Based Thermal Shielding Structure for Reusable Hypersonic Space Transportation Systems, integrating engineered …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Smart Motion Detection System using IoT: A NodeMCU and Blynk Framework
Abstract: A motion detector is a device that senses movement and triggers an action, such as turning on a light or sounding an alarm. Usually, motion detectors have been wired into home security systems, but with the advancements in IoT technology, they can now be connected to the internet for remote monitoring and control. This makes it possible to secure our homes and workplaces in a more practical and adaptable manner. …
Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 3, 2023 · pp. 1–8 Read article
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A Machine Vision Approach for Geofence-based Adaptive Friction Modulation in Connected Semi-autonomous Vehicles
Abstract: Safeguarding vulnerable road user (VRU) safety necessitates fail-safes preventing collisions from semi-autonomous vehicles. Geofencing allows service-zones definition but introduces friction discouraging adoption. This paper details an onboard vision model detecting VRUs by helmet status, triggering reactionary neuro-modulations of vehicle maneuverability. The architecture encompasses a YOLOv3 detector determining pedestrian/bicyclist crossing intent through path extrapolations, calibrated using lidar-fusion correcting distance estimates. The subsequent velocity governor adapts acceleration profiles based on predicted exposure …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 3, 2023 · pp. 22–29 Read article
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Use of Information and Communication Technology for Dyslexic Students in Higher Education: A Comparative Review Study
Abstract: This research work is a comparative study that investigates how information communication technology (ICT) affects dyslexic students' academic performance in higher education. The study looks at the efficacy of several ICT tools, such as text-to-speech software, mind-mapping software, and spelling and grammar checkers, in enhancing dyslexic pupils' organizing, reading, and writing skills. The study found that the use of ICT tools and receiving individualized coaching can greatly increase dyslexic students' …
Published in Current Trends in Information Technology · Vol. 13, Issue 1, 2023 · pp. 42–50 Read article
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Parallel Privacy-Preserving Adaptive Federated Learning on GPU-Enabled Multi-Core Architectures
Abstract: The increasing deployment of parallel and distributed intelligent systems has intensified the need for privacy-preserving learning frameworks that can exploit multi-core and graphics processing unit (GPU)-based architectures without centralizing sensitive data. This work proposes a parallel adaptive federated learning (AFL) framework that integrates differential privacy and secure aggregation over heterogeneous multi-core and GPU platforms to enhance both data confidentiality and convergence efficiency. The framework dynamically adjusts client participation, learning rates, …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 09–16 Read article
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Artificial Intelligence Techniques for Image Dehazing: A Review
Abstract: This review explores the application of artificial intelligence (AI) techniques for image dehazing, addressing the pervasive challenge of enhancing image quality in hazy or foggy conditions. Traditional dehazing methods and their role as a foundation for AI-based approaches are discussed. Deep learning-based methods, including single-image and multi-image dehazing, are examined, highlighting their strengths and limitations. Data-driven approaches, leveraging large-scale datasets and domain adaptation, are also investigated. Furthermore, the review outlines …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 1, Issue 2, 2023 · pp. 26–30 Read article