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563 articles for “monitoring environment”
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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
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Cybersecurity Early Detection Algorithms for Threats
Abstract: Cybersecurity plays a vital role in protecting digital systems, networks, and data from unauthorized access, misuse, and cyberattacks in an increasingly interconnected world. As reliance on internet-based technologies continues to grow, the frequency and sophistication of cyber threats have also increased, making effective cybersecurity strategies essential. Cybersecurity encompasses a comprehensive framework that integrates technological solutions, organizational processes, and human awareness to ensure the confidentiality, integrity, and availability of information. Key …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 31–37 Read article
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Design and Implementation of a Bidirectional Long-Range Communication System for Disaster Management Applications
Abstract: In times of natural disasters like earthquakes, floods, landslides and cyclones, the normal communication lines are frequently cut, thus reducing the ability of the affected people and the relief team to communicate vital information. Cellular networks and Internet-based communication systems could be compromised in the event of a loss of power, damage to infrastructure or network congestion. Thus, it is necessary to have a communication system that will be dependable, …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 2, 2026 Read article
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A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article
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Smart and Precision Polyhouse Farming Using IoT Technology
Abstract: The emergence of the Internet of Things (IoT), one of its revolutionary advancements, signaled the beginning of a spectacular age in information technology in the 21st century. Managing crops in greenhouses is one application of precision farming in agriculture. Because it is so easy to establish predictable climatic conditions in greenhouses, they are the perfect environment for the use of precision farming. Precision farming will work better in a greenhouse …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 112–121 Read article
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Climate Change and the Spread of Pathogens: Implications for Public Health
Abstract: Climate change plays a significant role in the spread of infectious diseases by shifting how pathogens behave, affecting how vulnerable hosts are, and changing the way diseases are transmitted.Rising global temperatures, changing precipitation levels, and extreme weather events are accelerating the spread of bacteria, viruses, fungi, and parasites, increasing the risk of outbreaks worldwide. Warmer conditions favor the survival and expansion of vector-borne diseases such as malaria, dengue, and Zika …
Published in International Journal of Pathogens · Vol. 2, Issue 1, 2025 · pp. 1–5 Read article
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Shell Programming with Sensor Systems and Applications for Human Cognition
Abstract: Shell programming provides a flexible interface to sensor systems, enabling robust scripting for real-time data acquisition and processing, as well as integration with perception components. Such sensors have human analogs—tactile, physiological, and behavioral—and are increasingly embedded within health, mobile, and smart environments to capture fine-grained details of human cognition. Using shell scripts, the system can automatically collect sensor data, fuse multimodal data, and perform adaptive behavioral monitoring, allowing researchers and …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 41–45 Read article
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Marine Algal Fiber Reinforced Bio-Composites with Embedded Humidity Sensors for Coastal Smart Infrastructure
Abstract: The development of sustainable structural materials with integrated sensing capabilities has emerged as an effective strategy for improving the durability and resilience of coastal infrastructure exposed to aggressive marine environments. In this study, a multifunctional marine algal fiber reinforced bio-composite incorporating an embedded flexible humidity sensor was developed for real-time structural health monitoring applications. Marine macroalgae (Ulva lactuca) fibers were chemically functionalized using 3-aminopropyltriethoxysilane (APTES) to enhance fiber–matrix interfacial adhesion …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Hydroponics Culture Regulated Metabolic Variations in Plants of Medicinal Value
Abstract: The current review chiefly brings to light the importance of alternative cultivation strategies for medicinal plants about the effective enhancement of the bioactive substances. The fast-paced society is favoring the need for its cost-effective cultivation and studying the effects thereafter. The mis-steps while collecting the plant from the wild lead to identification issues, genetic and phenotypic variations, variable bioactive substances/secondary metabolites, and toxic compounds. So, cultivation happening in controlled environments, …
Published in Research & Reviews : Journal of Herbal Science · Vol. 13, Issue 2, 2024 · pp. 14–20 Read article
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Animal/Object Recognition and Monitoring
Abstract: This study focuses on teaching a computer to identify leopards in images through a process called Object Detection and Image Recognition. We created a special set of pictures (dataset) containing thousands of leopard images. Using a small camera module called ESP32 CAM, we trained the computer to recognize leopards by comparing the images it captures with the ones in the dataset. The results were obtained using a Convolutional Neural Network …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 1–6 Read article
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Signal Drift Compensation in Polymer-Based Wearable Biosensors Using Data Processing Techniques
Abstract: Polymer-based wearable biosensors have emerged as promising platforms for continuous physiological monitoring due to their mechanical flexibility, low operating voltage, and compatibility with soft biological interfaces. However, their long-term deployment remains challenging because of signal drift caused by polymer ageing, hydration–dehydration cycles, ionic trapping, and environmental variations. These effects introduce baseline fluctuations and sensitivity degradation, which compromise the reliability and interpretability of physiological measurements. This study proposes a data-processing–driven framework …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 197–207 Read article
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Hybrid Graceful QoS Degradation in Distributed Operating Systems
Abstract: Maintaining Quality of Service (QoS) in distributed operating systems is a critical challenge, especially in dynamic and resource-constrained environments. Traditional QoS mechanisms often fail to adapt effectively to unforeseen failures or load spikes, leading to abrupt service disruptions. This study reviews the concept of hybrid graceful QoS degradation, a paradigm that combines multiple strategies to ensure continuous, albeit potentially reduced, service availability. By intelligently integrating techniques like resource reservation, priority-based …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article
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Occupational Health and Safety Measures by the Human Resource Department in Pvt. Ltd., Mysuru
Abstract: The Human Resource (HR) department plays a crucial role in implementing Occupational Health and Safety (OHS) measures, ensuring employee well-being in Pvt. Ltd companies in Mysuru. This abstract explores the various strategies adopted by HR to minimize workplace hazards, promote a safety culture, and comply with legal regulations. Some important steps are regularly assessing risks, offering safety training, and making sure personal protective equipment (PPE) is readily available. HR also …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 · pp. 29–35 Read article
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Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article
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Environmental Impact Assessment of Ocean Energy Converters Using Quantum Machine Learning
Abstract: The accelerating deployment of ocean energy converters (OECs) across tidal, wave, osmotic, and thermal domains necessitates rigorous, data-intensive environmental impact assessment (EIA) frameworks capable of modelling multi-stressor marine ecosystems in real time. Classical machine learning approaches, while operationally mature, encounter scalability bottlenecks and feature correlation limitations when applied to the high-dimensional, non-linear datasets characteristic of offshore monitoring networks. This paper presents a comprehensive quantum machine learning (QML) framework for the …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 22–31 Read article
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Digital Innovation in Heritage Management: Exploring possibilities of I-BIM and H-BIM through Borobudur Temple and Dhanyakuriya
Abstract: Heritage buildings are vital links to our past, embodying the architectural, cultural, and historical significance of earlier eras. Their preservation has become increasingly complex due to environmental degradation, structural aging, and the evolving urban landscape. This paper investigates the application of Heritage Building Information Modelling (H-BIM) as a comprehensive methodology for documenting and conserving these structures. H-BIM leverages advanced digital technologies such as photogrammetry, laser scanning, and Geographic Information System …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 2, 2026 Read article
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Innovations in Civil Engineering: Advancing Infrastructure through AI Technology
Abstract: A comprehensive exploration of the intersection of civil engineering and artificial intelligence (AI) technology, highlighting the transformative impact of AI on infrastructure development, management, and sustainability. The journal encompasses a wide array of research articles, case studies, and reviews that demonstrate the integration of AI into various facets of civil engineering, including but not limited to smart infrastructure, predictive maintenance, structural analysis, and urban planning. By showcasing cutting-edge applications and …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
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Cybersecurity in Web Automation: A Machine Learning Approach to Lightweight Intrusion Detection
Abstract: Launch-Attack is a lightweight and practical threat-detection framework designed specifically for smaller web-automation environments, including setups that rely on tools such as Selenium. Rather than aiming to replace large enterprise-grade security platforms, the framework focuses on offering an accessible option for developers, testers, and researchers who need real-time monitoring without the heavy resource demands of traditional systems. The model relies on machine-learning techniques implemented through Scikit-learn, enabling it to detect …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 1, 2026 · pp. 34–40 Read article
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Sustainable Water Management in Engineering: Identifying Causes and Implementing Solutions
Abstract: Water is a vital resource in engineering applications, underpinning processes in manufacturing, construction, power generation, and environmental systems. Unsustainable water consumption and waste, however, present serious problems, such as resource depletion, environmental damage, and higher operating expenses. This paper explores the causes of water waste in the engineering sector, such as inefficient processes, aging infrastructure, and inadequate wastewater management, alongside the impacts on economic performance and ecological balance. To address …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 3, 2025 · pp. 9–26 Read article
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Role of Artificial Intelligence in Structural Health Monitoring-A Brief Evaluation
Abstract: Artificial intelligence (AI) refers to the capacity of a machine or a computer to ‘think’ or reason in the way a human would, utilizing experience, learned facts, and flexible rules to solve problems that may not fit the standard outlines for a normal algorithm. From this follows the utilization of AI in various sectors, such as the information technology (IT) industry, media, healthcare and medicine, logistics, environmental sustainability, finance, business, …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 34–39 Read article