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473 articles for “Environment transformation”
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Emerging Photochemical Techniques in Green Chemistry
Abstract: Creating environmentally friendly and sustainable chemical processes is one of the main objectives of green chemistry. A viable strategy for accomplishing this goal is the use of light to trigger chemical reactions in emerging photochemical techniques. An overview of current developments in photochemical techniques that support green chemistry is given in this abstract. Key innovations include the use of visible light photocatalysis, which offers a sustainable alternative to traditional high-energy …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 1, Issue 2, 2023 · pp. 39–45 Read article
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Entropy, Symmetry, and Data Fusion: Emerging Methods in Multi-Objective Decision- Making and Smart Systems
Abstract: In the era of intelligent technologies and data-driven systems, multi-objective decision-making (MODM) has become an essential aspect of managing complex environments such as smart cities, autonomous systems, and cyber-physical networks. As decision-making scenarios become increasingly dynamic and uncertain, there is a growing need for advanced methodologies that can handle diverse objectives, conflicting constraints, and incomplete information. This review highlights the emerging role of entropy, symmetry, and data fusion as foundational …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 44–49 Read article
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Deep Learning-Enhanced Polymer-Based Wearable Biosensors for Continuous Health Tracking via IoT
Abstract: The rapid proliferation of wearable biosensor technologies has transformed approaches to real-time health monitoring, yet challenges persist in achieving both mechanical robustness and reliable, continuous data analytics in dynamic environments. Conventional polymer-based sensing systems often fall short due to limited signal fidelity, inadequate adaptive analytics, or insufficient integration with secure, low-latency IoT frameworks. Addressing these deficiencies, this work introduces a flexible, deep learning-enhanced wearable biosensor platform that combines a nanostructured …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 18–31 Read article
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Unlocking Synergies: Exploring The Nexus Between Sustainable Building Practices, Green Polymers, and Occupant Health Through SPSS Statistical Analysis
Abstract: This study examines the significance of utilising environmentally friendly polymers in the construction industry, specifically looking at the perspectives of individuals occupying buildings that have used green building design techniques. The focus is on the occupants' perceptions of the efficiency, comfort, and health of the materials used. Green polymers, which are essential for sustainable building, have the potential to completely transform infrastructure development. The materials mentioned include of natural fibre …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 241–252 Read article
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Technological Advancements in Agricultural Spraying Drones: A Review of Efficiency and Environmental Impact
Abstract: Developing an unmanned aircraft system with cutting-edge sensors for accurate pesticide and fertilizer delivery, crop monitoring, and resource optimization in agriculture is the main goal of the agricultural spraying drone project. The initiative intends to minimize chemical usage and lessen environmental effects while providing a sustainable and environmentally friendly alternative. Real-time monitoring, obstacle avoidance, GPS-based navigation, and data analytics are some of the key features. Airframe design, propulsion, cargo delivery, …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 1–11 Read article
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Safe Routes to School: Best Practice and their Applicability to Urban Context
Abstract: Safe routes to school (SRTS) programs aim to encourage active transportation for children through enhanced safety, accessibility, and infrastructure within the areas surrounding schools. SRTS has become increasingly popular worldwide as a method of promoting public health, decreasing traffic, and promoting community cohesion. Yet bringing SRTS to urban environments comes with special challenges. Urban locations often have high traffic volumes, inadequate pedestrian facilities, socioeconomic inequities, and variable policy backing that …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 31–35 Read article
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Balancing Growth and Sustainability: Developing a Socio-ecological Urban Design Framework for Edge Cities
Abstract: In the rapidly urbanizing world, edge cities, urban areas situated on the outskirts of larger metropolitan regions have emerged as dynamic centres of economic activity. However, their development often prioritizes growth over sustainability, leading to ecological degradation and social inequities. This dissertation presents a socio-ecological urban design framework aimed at balancing growth with sustainability in edge cities. By integrating principles from ecology, sociology, and urban planning, this framework addresses the …
Published in International Journal of Urban Design and Development · Vol. 4, Issue 2, 2026 · pp. 1–24 Read article
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Reinforcement Learning in Real World Application: A Study on Robotics; Autonomous Vehicles and Industrial Automation
Abstract: This research paper investigates the practical application of reinforcement learning (RL) in three critical domains: robotics, autonomous vehicles, and industrial automation. The study delves into the implementation of RL algorithms to enhance decision-making, adaptability, and autonomy in these real-world scenarios. Through a comprehensive review of existing literature, methodologies, and case studies, the paper addresses the challenges faced and the successes achieved in deploying RL in each domain. The findings offer …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 3, 2023 · pp. 1–15 Read article
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Intersection Safety in Urban Environments: A Review of Risk Factors and Crash Patterns
Abstract: Urban intersections are critical points of interaction between multiple road users, including cars, buses, two-wheelers, cyclists, and pedestrians. As cities continue to expand rapidly, the density and complexity of traffic at intersections increase, making them among the most dangerous segments of the roadway network. Numerous studies show that intersections account for nearly half of all urban road crashes, making them central to safety research and planning. This review paper synthesizes …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 1, 2026 · pp. 31–35 Read article
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Various Methods For Plastic Waste Pyrolysis To Fuels: A Review
Abstract: The world's decreasing oil reserves and increasing energy demands are pushing experts to explore alternative ways of producing premium oils that can replace fossil fuels. Waste-to-energy recovery, which involves converting waste materials into energy, shows great potential for managing waste. Waste plastics, abundant and with a high combustion heat, are attractive for energy conversion. However, the vast use of plastic products, both industrially and domestically, leads to a surge in …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 79–93 Read article
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A Transformative Approach to Empathetic Climate Change by Satellite Sensing
Abstract: Satellite sensing is becoming an increasingly important instrument for risk assessment and management as coastal communities continue to grapple with the myriad of dangers that are posed by climate change. Through the utilization of this technology, environmental scientists, legislators, and urban planners have the potential to make more informed decisions, which will ultimately lead to coastal communities that are safer and more resilient. The incorporation of satellite data into urban …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 3, 2025 · pp. 35–42 Read article
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Agrobot: IoT Enabled Crop-care
Abstract: Agriculture serves as the foundation of global civilization, particularly in nations like India, where it accounts for roughly 70% of the GDP, underscoring its pivotal role in economic stability. Despite its significance, traditional agricultural practices have often overlooked critical elements such as disease identification and precise pesticide application, focusing primarily on conventional methods like harvesting and seedling techniques. To address these gaps and usher in a new era of efficiency …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 1, 2024 · pp. 38–45 Read article
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Enhancing Customer Engagement with AI-Driven Movie Recommenders: Integrating Neural Collaborative Filtering, Sentiment Analysis, and Conversational Agents
Abstract: In today’s competitive digital landscape, user engagement is a critical factor for the success of entertainment platforms, especially those offering movie recommendations. This study introduces a comprehensive AI-driven framework designed to enhance customer interaction, satisfaction, and loyalty through the intelligent integration of multiple deep learning models. The system combines three core components: Neural Collaborative Filtering (NCF) for generating personalized movie recommendations based on user behavior and preferences, Long Short-Term Memory …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 45–54 Read article
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Microalgae Based Wastewater Treatment: A Sustainable Approach
Abstract: The global water crisis and strict environmental policies demand advanced wastewater treatment techniques that combine pollution control with resource recovery. Microalgae-based wastewater treatment has emerged as a sustainable biotechnological solution that aligns with circular economy principles by simultaneously eliminating contaminants and producing valuable biomass that can be converted into useful products. This review paper provides an in- depth assessment of the application of microalgae in treating municipal, industrial, and agricultural …
Published in International Journal of Sustainability · Vol. 3, Issue 2, 2026 · pp. 1–15 Read article
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Collaborative Code Editors: Advancements, Challenges, and Future Directions
Abstract: In recent years, collaborative code editors have become essential tools in software development, particularly for globally distributed teams. These platforms enable multiple developers to work together in real time, boosting productivity and facilitating seamless knowledge sharing. This survey investigates core technologies that drive collaborative code editors, including WebSocket communication and operational transformation, while highlighting significant challenges such as latency, conflict resolution, and scalability. By examining existing solutions and evaluating various …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 07–11 Read article
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Drones in Precision Livestock Farming: Advancing Health, Welfare, and Resilience in Dairy Production Systems
Abstract: The integration of drone technology in precision livestock farming represents a transformative advancement in modern dairy production systems. Drones offer innovative solutions for monitoring, managing, and optimizing livestock health, welfare, and productivity while addressing challenges related to environmental sustainability and resource efficiency. This study explores the diverse applications of drones in dairy farming, including health monitoring, disease detection, reproductive assessment, and real-time herd tracking. By leveraging thermal imaging and advanced …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 16–25 Read article
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Epidemiology and transmission of infectious diseases study using Machine learning
Abstract: Infectious diseases remain a formidable global health challenge, characterized by rapid evolution and complex transmission dynamics that often outpace traditional epidemiological surveillance and response mechanisms. This study investigates the transformative potential of machine learning (ML) methodologies to enhance our understanding and prediction of infectious disease epidemiology and transmission. Leveraging diverse datasets—including clinical records, genomic sequences, environmental factors, social mobility data, and real-time digital footprints—we studies and presented various ML models …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 Read article
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An Overview on VLSI based Hardware Security in IoT Node
Abstract: In the coming era, security will not be a feature we add to an IoT device; it will be a property inherent to its transistor-level design. By encoding security into the VLSI architecture, we move away from the fragile "software-only" paradigm and toward a future where the identity of the device is as immutable as the laws of physics. The rapid proliferation of Internet of Things (IoT) devices has transformed …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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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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The Role of IoT and AI in Advancing Wastewater Treatment Plant Efficiency
Abstract: Wastewater treatment facilities, or WWTPs, are essential for protecting the environment and human health because they clean wastewater before it is released into natural water bodies. The operational effectiveness and efficiency of WWTPs have undergone a significant transformation as a result of the integration of smart technology for real-time monitoring and control. This review looks at new developments in smart technologies that are being used in WWTPs, including data analytics, …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 2, Issue 1, 2024 · pp. 28–33 Read article