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458 articles for “dynamic environments”
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Agentic AI: Architectures, Types, Capabilities, Mathematical Equations and Governance in the Era of Autonomous Intelligence
Abstract: Agentic Artificial Intelligence (Agentic AI) represents a major advancement in the evolution of intelligent systems by enabling autonomous planning, decision-making, and action execution. Unlike traditional AI models, which are primarily reactive and designed to respond to predefined inputs, Agentic AI systems possess capabilities such as memory, reasoning, goal-oriented planning, tool integration, and dynamic adaptation to changing environments. These characteristics allow them to perform complex, multi-step tasks with minimal human intervention, …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 Read article
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Design of a SmartMesh IP Network with Wireless Motes and GUI Control
Abstract: SmartMesh IP is an innovative way to connect smart devices with advanced network management and comprehensive security features. SmartMesh IP delivers reliable, scalable, and energy efficient wireless sensor connectivity. In recent years, SmartMesh IP has become the industry’s most energy- efficient wireless mesh sensing technology even in harsh and dynamically changing radio frequency (RF) environments. This paper proposes a SmartMesh IP network system that consists of a network manager and …
Published in Journal of Microcontroller Engineering and Applications Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitates the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitate the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Thermal Engineering and Applications · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
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Significance of Lighthing Design
Abstract: Lightning design plays a pivotal role in both architectural and interior design, impacting aesthetics, functionality, and psychological well-being. This research investigates the multifaceted influence of lighting on human emotions, cognitive functions, and overall mental well-being within built environments. Moreover, it explores the visual comfort aspects of lighting design, emphasizing its significance in minimizing glare, shadows, and eye strain to optimize occupant satisfaction. Through a series of case studies, this study …
Published in International Journal of Rural and Regional Development · Vol. 2, Issue 1, 2024 · pp. 37–46 Read article
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Design and Implementation of an IoT-based Traffic and Parking Management System Integrated with GIS for Urban Environments
Abstract: As urbanization accelerates, managing traffic flow and parking availability has become increasingly challenging. This article presents the design and implementation of an internet of things (IoT)-based traffic and parking management system integrated with geographic information systems (GIS) to address these challenges in urban environments. The proposed system utilizes a network of IoT sensors to monitor traffic flow, congestion levels, and parking space availability in real time. The data collected by …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 23–32 Read article
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Federated Learning for Energy Management in Next Generation Smart Cities
Abstract: Federated learning has emerged as a promising approach for addressing the challenges of energy management in next-generation smart cities. This decentralized approach to machine learning allows collaborative model training among distributed data sources, while safeguarding data privacy and security. In this study, we explore the application of federated learning techniques to optimize energy consumption, enhance grid stability, and promote sustainability in smart city environments. By aggregating data from diverse sources …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 1, 2024 · pp. 19–27 Read article
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Assessing The Efficacy of Modern Biodiversity Conservation Approaches: Advancements and Challenges
Abstract: This study aims to offer valuable insights by investigating the advancements and challenges inherent in these strategies. Its objective is to assess whether these contemporary approaches have truly contributed to enhancing biodiversity conservation and fostering the sustainable utilization of resources, as compared to conventional historical practices. This study focuses on the different approaches of conservation and advancements, challenges and comparative analysis of biodiversity conservation. The goal of the biodiversity project …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 1, 2024 · pp. 1–6 Read article
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The Tapper Approach: An Integrated Framework for Land Degradation, Restoration, and Climate-Conflict Dynamics
Abstract: Land systems across the globe are increasingly exposed to multiple and interacting pressures, including land degradation, climate change, biodiversity loss, unsustainable land-use practices, rapid population growth, and socio-economic conflicts. These challenges not only reduce ecosystem productivity and resilience but also threaten food security, water availability, rural livelihoods, and long-term environmental sustainability. Despite the growing recognition of these interconnected issues, most existing conceptual and analytical frameworks continue to address them in …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 2, 2026 Read article
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Adaptive Hospitality: Designing Modular Hotel Rooms for Multi-Functional Use in Urban Micro Hotels
Abstract: This research investigates the concept of adaptive hospitality through the lens of modular design, focusing on the creation of multi-functional hotel rooms in urban micro-hotel settings. With the rise in urban populations and increasing scarcity of land, hospitality design must adopt innovative spatial strategies that prioritize flexibility, efficiency, and user experience The research explores how modular and transformable design solutions can respond to the spatial constraints of dense urban environments. …
Published in International Journal of Architectural Design and Planning · Vol. 4, Issue 1, 2026 · pp. 39–51 Read article
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Detecting the Failure Stages in Asphalt Concrete Through the Fatigue Life
Abstract: The signs of failure initiation in asphalt concrete through its service life may appear as cracking, rutting, or other types of distress after practicing dynamic stresses from vehicular loading. This work is concerned with detecting the failure initiation in asphalt concrete in the laboratory, and the role of binder content and constant strain level through a comprehensive testing program. Asphalt concrete mixtures were formulated with the optimal binder content, as …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 1, 2024 · pp. 21–27 Read article
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Alkylimidazolium Chloride Ionic Liquids as Green Additives in Rubber Composites: A Comprehensive Review
Abstract: The growing emphasis on sustainable and environmentally friendly materials has underscored the use of ionic liquids (ILs) as green additives in polymer science. Alkylimidazolium chloride ionic liquids (ACLs) have emerged as viable possibilities for improving the performance of rubber composites while minimizing the environmental impact of conventional processing aids. This research conducts a thorough examination of the function of ACls in rubber technology, focusing on their physicochemical features, interaction mechanisms …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 1–13 Read article
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Analysis for Pier of Railway Bridge
Abstract: The load-bearing capacity of a pier is determined by the combined effects of the load from the train and the self-weight of the girder it supports. The bending of the pier is influenced by its height, which necessitates a careful assessment of the pier's thickness across various girder spans and pier heights. This evaluation ensures that the pier can withstand the imposed loads while adhering to permissible deflection limits. By …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 1, 2024 · pp. 37–43 Read article
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Next-Gen Techniques for Bottleneck Detection in High-Performance Computing
Abstract: Modern computing systems face new challenges in bottleneck detection and mitigation due to their increasing complexity which stems from multi-core architectures alongside distributed platforms and real-time processing needs. Traditional methods like hardware profiling and static analysis which used to work well now struggle to keep up with the changing conditions of dynamic system behaviors and diverse computing environments along with variable workload patterns. The current limitations restrict their capability to …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 09–14 Read article
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Physical Modeling of Mass Transport Processes in Extraterrestrial Landscapes
Abstract: Currently the progress in physical models based on mass transport in both the Earth's surface and extraterresterial landscape has been growing. It is a frame work involving different natural and made made processes including aeline process, fluid flow process, magmal movement, Geomagnetic stroms, and clould flow modesl etc. These process encorporates Physical models and appraches which help to simulate, compute and experiment in order to reduce complexity. However, their operating …
Published in International Journal of Universe · Vol. 1, Issue 2, 2025 · pp. 47–54 Read article
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IoT Network Security Employing KVS Approach: Novel Approach to IoT Security with B-Cell Inspired Models Implemented using Artificial Intelligence
Abstract: The Internet of Things (IoT), which links billions of devices that gather, analyse, and send data, is growing quickly. Although there are many benefits to this interconnection, there are also serious security risks. Conventional security measures frequently struggle to keep up with the dynamic and diverse nature of IoT environments. Innovative security ideas are being investigated in response, and the B-Cell concept, also known as the Kutubuddin Vahida Sultana (KVS) …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 3, 2025 · pp. 36–46 Read article
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Electronic Resources of University Libraries: AI-Driven Management and Optimization
Abstract: In order to maximize accessibility, utilization, and efficiency, university libraries’ growing reliance on electronic resources (ER) has prompted the creation of sophisticated management techniques. The difficulty of handling enormous volumes of data has increased as educational institutions move from conventional physical collections to massive digital repositories. A key instrument in revolutionizing library operations, artificial intelligence (AI) offers creative ways to improve retrieval methods, manage digital resources more effectively, and customize …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 3, 2025 · pp. 8–15 Read article
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AI-Based Machine Learning Web Application Firewall (ML-WAF)
Abstract: This research investigates the use of deep learning techniques for the real-time detection of malicious activities in web traffic and proposes an intelligent, AI-driven Web Application Firewall (WAF) designed to provide automated and adaptive security. The system analyzes diverse components of HTTP requests, including request methods, URLs, headers, cookies, and payload content, to accurately identify and classify malicious behavior. The proposed model targets a wide range of common and critical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Exploring Family Systems Therapy (FST) in Substance Dependence
Abstract: This paper intends to explore how family systems therapy (FST) can be utilized to address substance dependence issues. Substance abuse not only affects the individual but also impacts the extended family members' physical, emotional, and psychological health. The substance use disorder (SUD) not only has an impact on the individual, but also influences family members. This narrative review provides an examination of the connection between substance dependence and the family …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 2, 2024 · pp. 9–26 Read article
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Integrated, Geospatial Risk Assessment of Air, Water, and Soil Pollution Impacts on Agricultural Sustainability using Advanced Digital Technologies
Abstract: The systemic threat posed by the convergence of air, water, and soil contaminants represents a critical challenge to global agricultural resilience and food security. Traditional, site-specific pollutant monitoring methods are insufficient for capturing the dynamic, diffuse, and often nonlinear nature of environmental risk pathways that permeate agrarian landscapes. This study presents a robust framework for comprehensive risk assessment utilizing a synergistic suite of modern tools designed for spatial, temporal, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 28–37 Read article