Search
900 articles for “Gen- AI”
-
Harnessing Deep Learning to Explore Microbial Community Structure and Carbon Storage Capacity in Mangrove Ecosystems: A Framework for Computationally
Abstract: Mangrove ecosystems represent one of the most efficient natural carbon sinks on Earth, functioning as critical blue carbon habitats that sustain diverse microbial communities responsible for biogeochemical cycling and long-term carbon storage. Despite their global ecological significance, accurately quantifying and predicting carbon sequestration in mangrove systems remains challenging due to the complex interactions between microbial diversity, sediment chemistry, and environmental drivers. This study presents a comprehensive and sustainable artificial intelligence …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
-
The Renaissance and Resilience of CB1 Reverse Agonists: From Central Liabilities to Peripheral Promise
Abstract: Building upon these foundational insights, current research has increasingly focused on refining the pharmacological profile of CB1 reverse agonists to maximize therapeutic benefit while minimizing central adverse effects. The adverse neuropsychiatric outcomes associated with first-generation agents such as Rimonabant including anxiety, depression, and suicidal ideation highlighted the critical role of central CB1 receptors in mood regulation. Consequently, drug development strategies have shifted toward peripherally restricted CB1 reverse agonists that exhibit …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 30–35 Read article
-
Integrated Frameworks for Artifical Intelligence in Radioactive Waste Characterization and Nuclear Lifecycle Safety
Abstract: The management and characterization of radioactive waste represent a pivotal challenge for the global energy sector, requiring the convergence of advanced physics, material science, and computational intelligence. As the nuclear industry undergoes a paradigm shift toward decommissioning legacy facilities and establishing deep geological repositories, the limitations of traditional, manually-intensive waste management processes have become increasingly apparent. Rigid separation from the biosphere is required for radioactive waste, which is defined by …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
-
Enhancing Engine Efficiency and Reducing Emissions: A Comprehensive Review of Air Calorimeter Technology
Abstract: The article talks about the idea behind this project to pre-heat the intake air that passes through the carburettor to increase a petrol engine's fuel efficiency. The vaporization of petrol in the carburettor is influenced by the humidity of the surrounding air. Therefore, vaporization can be facilitated, and full combustion can be accomplished by preheating the carburettor's incoming air for a significant amount of time. Additionally, by lowering the amount …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 8–13 Read article
-
Green AI-Enabled Opto-Electronic Communication Systems for Carbon-Neutral Digital Networks
Abstract: The rapid expansion of digital communication infrastructure, driven by cloud computing, Internet of Things (IoT), 6G networks, and artificial intelligence applications, has significantly increased the energy consumption and carbon footprint of modern communication systems. Conventional optical communication networks often rely on static resource allocation and energy-intensive signal processing mechanisms, resulting in inefficient utilization of network resources and elevated operational costs. This study proposes a Green Artificial Intelligence (Green AI)-Enabled Opto-Electronic …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 2, 2026 Read article
-
AutoGen Bike: A Self-Sustaining Smart Electric Bike with Integrated AI Safety Systems
Abstract: This is the paper which gives the information about the self-sustaining electric bike. This also tells the idea about how energy is produced during its usage. The “Auto gen bike” is the most useful aspect that can change the future of the electric bikes. This also helps in the conservation of natural resources and nature. This also helps in the accidents happening to the two-wheel vehicle. This is achieved by …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 41–49 Read article
-
Review of Thermal Performance of Solar Air Heaters: Influence of Composite Materials and Advanced Thermal Storage Techniques
Abstract: Solar air heaters (SAHs) are essential devices for capturing solar energy and converting it into heat, finding applications in steam generation, refrigeration, agricultural drying, and space and water heating in residential and commercial environments. However, the thermal performance of SAHs is often limited by the low heat transfer coefficient of air and the absence of solar energy during nighttime, impacting efficiency and reliability. To address these challenges, this study explores …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 488–506 Read article
-
Greener 3D Printing: The Role of Artificial Intelligence in Sustainable Polymer and Composite Manufacturing
Abstract: The integration of sustainable materials with additive manufacturing (AM) technologies marks a significant step towards environmentally responsible production. Biodegradable polymers, recycled thermoplastics, and bio-based composites, when used in 3D printing, offer the potential to reduce the ecological footprint of manufacturing. However optimizing the interplay between material properties process parameters, and product performance remains a complex challenge. This review examines how artificial intelligence (AI) is being applied to address these challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 288–300 Read article
-
Stretching Boundaries: A Comprehensive Review of Ehlers-Danlos Syndrome and its Subtypes
Abstract: The Ehlers-Danlos syndromes (EDS) encompass 13 inheritable disorders affecting connective tissue. These conditions arise from genetic alterations impacting the structure of connective tissue. Every variant of Ehlers-Danlos syndrome (EDS) exhibits distinct features and has specific diagnostic criteria. While certain traits such as joint hypermobility, skin hyperextensibility, and tissue fragility are common across all types of EDS. The range of clinical presentations spans from minor skin and joint looseness to severe …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 1, 2024 · pp. 44–57 Read article
-
Edge Computing in IoT: Challenges and Opportunities for Engineers
Abstract: The internet of things (IoT) has revolutionized how we interact with our environment, collect data, and make decisions. However, the exponential growth of IoT devices has led to significant challenges in data processing, latency, and bandwidth usage. Edge computing provides an effective solution to these issues by bringing computation and data storage nearer to the source of data generation. This paper provides a comprehensive exploration of the challenges and opportunities …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 14–19 Read article
-
Intelligent Planning of Transmission Networks: Addressing Uncertainties Through Artificial Intelligence
Abstract: Power grid planning is a critical aspect of power grid topology, traditionally relying on manual methods that are prone to various uncertainties. These uncertainties, both subjective (stemming from human judgment) and objective (resulting from data limitations), can significantly affect the reliability and efficiency of the planning process. This paper presents an artificial intelligence (AI) method aimed at improving the smart planning of transmission networks. By utilizing AI, the proposed method …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 40–46 Read article
-
Smart Service Solutions AI: AI-driven Multimodal Search for Home Appliance Support
Abstract: The global home appliance services market is projected to reach USD 1,203.11 billion by 2032, driven by smart household appliances. Essential services like installations, maintenance, and repairs ensure optimal performance and longevity, leading to higher customer satisfaction and loyalty. The service station partner ecosystem is crucial for ongoing support and profitability. However, challenges such as identifying the right manuals, finding relevant parts, and providing accurate instructions must be addressed to …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 27–43 Read article
-
Smart Weather Monitoring and Forecasting System Using Machine Learning (ML)
Abstract: The Smart Weather Monitoring System & Forecasting using Machine Learning (ML) represents an innovative approach to modern weather prediction and monitoring. This system combines the capabilities of machine learning algorithms with vast sets of weather data to provide accurate and timely weather forecasts. By collecting and analyzing data points like temperature, humidity, light intensity, rainfall, and atmospheric pressure, the system can generate precise predictions for a wide range of applications. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 1, 2024 · pp. 12–21 Read article
-
Performance Assessment of External Source-Driven Binary Vapor Cycles with Ammonia-Water and Trans-critical CO2: The Impact of Reheating and Pressure Variations
Abstract: This paper investigates the thermodynamic performance of binary vapor cycles, focusing on two working fluid combinations—ammonia-water mixtures and trans-critical carbon dioxide (CO2). The analysis evaluates how system performance is influenced by incorporating reheating processes and varying operating pressures, which are key parameters in optimizing cycle efficiency and energy recovery. By leveraging external heat sources and exploring these configurations, the research aims to provide insights into improving the efficiency of industrial …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 23–29 Read article
-
Wear Behavior and Mechanical Characterization of Pure Aluminum Reinforced with RHA by Using Powder Metallurgy Method
Abstract: In recent years, composites made from aluminum and its alloys have gained significant attention due to their optimal blend of low weight, high strength, impressive toughness, enhanced thermal stability, straightforward casting processes, superior corrosion resistance, and availability compared to unreinforced aluminum and its alloys. These aluminum-based composites are widely utilized in producing components for industries such as automotive, aerospace, marine, and nuclear. Rice husk ash (RHA) is a fine, powdery …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 495–502 Read article
-
Nanotechnology meet phytomedicine towards smarter drug delivery system.
Abstract: Using bioactive substances derived from plants, or phytomedicine, has long shown promise in treating a variety of illnesses with fewer adverse effects than synthetic medications. Nevertheless, a lot of phytochemicals have issues with inadequate targeting in vivo, low bioavailability, poor solubility, and chemical instability. By enabling encapsulation, controlled release, targeted delivery, and stimuli responsive behavior, nanotechnology provides effective tools to get around these restrictions. This review examines the intersection of …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 1, 2026 · pp. 46–53 Read article
-
A Study on Leveraging Sensors and AI in Insect-Inspired Robotics for Unstructured Environments: Bio-Inspired Autonomy
Abstract: Insects, with their unparalleled agility, resilience, and highly efficient sensory-motor control in complex, unstructured environments, offer a rich blueprint for the next generation of autonomous robots. This study explores the design, implementation, and potential of insect-inspired robots, focusing on the synergistic integration of miniaturized sensor arrays and advanced Artificial Intelligence (AI) algorithms. We delve into bio-mimetic sensing, drawing inspiration from compound eyes, olfactory systems, and tactile hairs, to equip robots …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 7–21 Read article
-
Telecommunications and New Technologies
Abstract: The rapid expansion of telecommunications is profoundly reshaping the global digital landscape, driven by the confluence of emerging technologies such as 5G, the Internet of Things (IoT), artificial intelligence (AI), blockchain, and edge computing. These new technologies are changing communication networks, making them more reliable and faster, and making it possible for data-heavy applications to work in many other fields. In order to ensure the safe and sustainable integration of …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 1, 2026 · pp. 13–21 Read article
-
Energy-Efficient Thermal Management: Advanced Cooling Techniques for Electronics, Automotive, and Aerospace Applications
Abstract: The growing demand for energy-efficient systems across diverse industrial sectors, including electronics, automotive, aerospace, and renewable energy, has elevated the importance of advanced thermal management techniques. Effective heat dissipation is critical not only for maintaining optimal operating conditions in electronic devices but also for enhancing the performance and reliability of broader energy and mechanical systems. Inadequate thermal management can compromise energy efficiency, reduce component lifespan, and increase environmental impact. This …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 18–23 Read article
-
Exploring Gender Differences in Mental Health: Attitudes towards Help-Seeking and Service Utilization
Abstract: Mental health is a complex topic that requires understanding of gender disparities in the use of mental health services and the behavior of seeking assistance. Development of legislation and initiatives aiming at raising awareness and availability of mental health care depends on this knowledge. Maintaining healthy relationships, limiting disease development, managing symptoms, increasing production, and fighting cultural prejudice all depend on mental health therapies. Gender expectations, socialising, stigma, and the …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 2, 2024 · pp. 10–17 Read article