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40 articles for “Early warning systems”
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Real-Time Ocean Monitoring and Early Warning Systems with IoT Technology
Abstract: The increasing frequency of extreme weather events, rising sea levels, and threats to marine biodiversity This paper explores the application of IoT in enhancing real-time ocean monitoring and early warning systems, focusing on the deployment of smart sensors, connected buoys, and data analytics to collect key parameters such as temperature, salinity, pH, and wave activity. To preserve and responsibly utilise the seas, oceans, and marine resources in support of sustainable …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 1, 2025 · pp. 13–24 Read article
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Real-Time Browser-Based Early Warning System for Cyberbullying Detection in Online Platforms
Abstract: The rise in social networking through internet-based communication tools, Instagram, and YouTube, to name a few, significantly increases the risk of cyberbullying, thereby increasing psychological trauma on users, especially children, through adverse emotional states like anxiety, depression, etc. For a long time, researchers have been enhancing detection tools to counter cyberbullying, but their ability to detect only after the fact, along with limited support for English-based architecture, is a major …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 09–15 Read article
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A Study to Assess the Risk Factors and Symptoms of Dialysis Disequilibrium Syndrome among Patients Undergoing Hemodialysis
Abstract: Dialysis Disequilibrium Syndrome (DDS) is a rare but potentially life-threatening neurological complication associated with hemodialysis, particularly during initiation or in high-risk patients. It is characterized by a spectrum of neurological manifestations ranging from mild symptoms such as headache and nausea to severe outcomes including seizures, coma, and death. Early identification of risk factors and prompt recognition of symptoms are crucial to prevent morbidity and mortality. The present study aimed to …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 Read article
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Use of Emerging Technologies in Disaster Management
Abstract: India, one of the most disaster-prone nations, faces increasing challenges from natural and man- made disasters. To address these risks, the country has developed a multi-tiered institutional framework, led by the National Disaster Management Authority (NDMA) and supported by state and local bodies. While these efforts provide a strong foundation, the integration of emerging technologies is reshaping disaster management. Technologies like Artificial Intelligence (AI), drones, and advanced early warning systems …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 1, 2025 · pp. 01–07 Read article
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A Study on the Comparative Changes in Nutritional Status in Follow-Up of End Stage Renal Disease Patients
Abstract: Dialysis Disequilibrium Syndrome (DDS) is a rare but serious neurological complication associated with hemodialysis, particularly during the initiation phase or in patients with high metabolic derangements. It is characterized by a range of neurological symptoms resulting from rapid shifts in plasma osmolality, leading to cerebral edema. Despite advancements in dialysis techniques, DDS continues to pose a clinical challenge due to its unpredictable nature and potential for severe outcomes. The present …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 · pp. 9–13 Read article
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Leveraging IoT for Real-Time Disaster Management: Enhancing Preparedness and Response Through Smart Monitoring
Abstract: Natural disasters, including floods, earthquakes, and wildfires, pose risks to human life, infrastructure, and the environment. Many of the technological innovations are there, but in managing such disasters, there still is room for inefficiencies resulting from communication delay, unavailability of real-time data, and poor coordination at times. The inefficiencies lead to response times that are too long, inappropriate allocation of resources, and increased vulnerability to the impacts of disasters. Integration …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 11–17 Read article
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Advanced Sensor Technologies for Real Time Water Quality Monitoring and Prevention of Pollution
Abstract: SDG 14 is designated as "Life Below Water." The United Nations established 17 global objectives in 2015. These fall under the parameters of the 2030 Agenda for Sustainable Development. This mission aims to preserve and utilize oceans, seas, and marine resources sustainably to foster peace, equality, and inclusivity. Marine life involves multiple objectives and metrics reliant on oceans for sustenance, climatic stabilization, and economic endeavours. The oceans encompass nearly 70% …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 9–14 Read article
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AI For Climate Vulnerability Assessment
Abstract: Climate change is one of the biggest problems we face every day. The main problems are high temperatures, rising sea levels, and changes in weather, which will be worse in the upcoming years. To predict and adapt to these impacts, we need to create data-driven solutions. The main tool for predicting climate change was artificial intelligence, which can also be utilised to predict the weather and alert people of impending …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 1, 2025 · pp. 18–33 Read article
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Oceanmind Systems: AI-Driven Marine Life Intelligence for Climate Prediction and Ocean Ecosystem Stability
Abstract: Oceans regulate global climate systems, support biodiversity, and serve as critical carbon sinks, yet they remain under-monitored relative to their ecological importance. Traditional oceanographic methods rely heavily on satellite sensing, buoy networks, and periodic marine surveys, which often fail to capture real-time biological dynamics at micro-ecosystem levels. This paper introduces OceanMind Systems, an artificial intelligence (AI)-driven marine intelligence framework that integrates marine life behavior, oceanographic data, and computational modeling to …
Published in International Journal of Marine Life · Vol. 3, Issue 2, 2026 Read article
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Climate-Induced Drought, Food Insecurity, and Adaptation Governance: A Multiscale Review of Risks and Policy Responses in Africa and South Asia
Abstract: Drought is one of the most critical climate-induced hazards, severely affecting agricultural systems, water resources, and human well-being, particularly in Sub-Saharan Africa and South Asia. This review provides a comprehensive analysis of the multidimensional impacts of drought by examining its effects on food security, population displacement, and institutional adaptation across selected case studies from West Africa, South Africa, and coastal Bangladesh. The findings reveal that increasing climate variability and prolonged …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 4, Issue 1, 2026 · pp. 1–8 Read article
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Designing a Disaster Resilient Community in Flood prone zones of Srinagar, Uttarakhand.
Abstract: Uttarakhand, a state that scuffles with the dual challenges of climate change and rapid development, is particularly vulnerable to devastating floods. This research delves into the critical issue of strengthening community resilience against such disasters. By examining the interconnected factors of preparedness, mitigation, and response, the study aims to develop a robust framework for safeguarding lives and livelihoods in flood-prone regions. A cornerstone of this research is the exploration of …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 2, Issue 2, 2024 · pp. 8–19 Read article
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Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment and Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI-powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, the …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 24–31 Read article
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Automatic Flame Detection and Tracking
Abstract: Recent advancements in independent robotics, embedded systems, and intelligent perception have appreciably improved the capability of firefighting robots designed for early fire detection, flame localization, and suppression. A broad range of studies explores vision-based and sensor-fusion techniques designed for reliable flame discovery in complex environments. Image-processing approaches—including adaptive edge-detection, infrared/thermal imaging, color-space analysis, and profound learning—are extensively implement to enhance real-time fire gratitude, even in the presence of smoke or …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 6–12 Read article
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A study in Leveraging Deep Learning and IoT Arrays for Dynamic, Hyper-Local Atmospheric Intelligence
Abstract: The critical demand for high-resolution, actionable atmospheric data is challenged by the high cost and sparse coverage of traditional regulatory monitoring stations. This paper explores the synergistic paradigm shift enabled by integrating low-cost, dense Internet of Things (IoT) sensor arrays with advanced Artificial Intelligence (AI) methodologies, specifically Deep Learning (DL) models. We address the primary limitations of low-cost sensors—inherent bias, sensitivity to environmental drift (temperature/humidity), and calibration inconsistency—by utilizing AI …
Published in International Journal of Atmosphere · Vol. 2, Issue 2, 2025 · pp. 50–62 Read article
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Utilizing Artificial Intelligence and Remote Sensing to Predict Flooding in Real-Time and Address Climate Resilience Policy in South Asia
Abstract: South Asia, a region characterized by hydro-climatic instability, faces an intensifying risk from devastating flooding, aggravated by human-induced climate change and intricate river basin interactions. Traditional flood prediction systems, based on limited in-situ data and resource-intensive physical models, have serious delays and resolution problems that make it harder to reduce disaster risk. The combined applications of Artificial Intelligence (AI) and high-resolution remote sensing (RS) constitute a paradigm shift in real-time …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 1, 2026 Read article
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The Future of Healthcare: Role of Artificial Intelligence in Revolutionizing Nursing
Abstract: Artificial intelligence (AI) is rapidly transforming the healthcare industry, and nursing professionals stand to benefit significantly from its integration. This article explores the role of AI in revolutionizing nursing, highlighting its applications, benefits, challenges, and ethical considerations. Drawing on examples from countries actively integrating AI into nursing services such as the United States, the United Kingdom, China, and Japan, the article discusses how AI supports nursing tasks, enhances patient care, …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 1, 2024 · pp. 1–5 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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Evaluation of Temporal Distribution of Recurrent Cholera Outbreak in Zambia.
Abstract: Background: Cholera cases in Zambia have been observed over a period without understanding the epidemiological cycles. The aim of the study was to evaluate the temporal distribution of recurrent cholera outbreak in Zambia from 1977 to 2019. Methods: Cholera case records of both sex and all ages were retrospectively analyzed. The primary source documents were reviewed including infectious diseases line list, notifiable diseases reports, Health Impact Assessment, District Health Impact …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 10–21 Read article
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Cross-Border Disaster Preparedness in the Himalayas by Indian Armed Forces
Abstract: The Himalayan region, known for its immense ecological and geopolitical significance, is also one of the most disaster-prone areas in the world. Its young and dynamic geological structure, coupled with increasing human activity, has amplified the frequency and severity of natural disasters such as landslides, floods, and earthquakes. Cross-border disaster preparedness in the Himalayas, particularly by the Indian Armed Forces, has emerged as a critical component of regional stability and …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 1, 2025 · pp. 29–35 Read article
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Automated Intelligence, Machine Learning, and Big Data in Education: A Practical Framework, Synthetic Demonstration, and Deployment Guidance
Abstract: Artificial intelligence (AI), machine learning (ML), and big-data methods are increasingly used to improve educational decision making through personalization, early-warning systems, scalable feedback, and operational analytics. This manuscript proposes a practical end-to-end framework for educational AI/ML projects, covering problem definition, data engineering, modeling, evaluation, intervention design, and responsible governance. To provide a complete and reproducible template without exposing sensitive student data, we present a synthetic demonstration study that mirrors typical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article