Research ArticleOpen accessPhrase in the titleA Near Real-time Early Warning System on Erosion HazardsFaisal H. Ali, Tew K. HuiWith many incidences of landslides, mudslides and erosion occurrences lately, especially in the highlands in Malaysia, properties were damaged and lives were lost. Seeing the need of resolving and minimizing such untoward incidences, a study has been embarked on developing a near real-time early warning system on erosion hazards so as to provide an early warning to the public, whenever … …American Journal of Environmental Sciences, Vol. 2, Issue 4 · 31 Dec 2006 · 6,706 accessesView PDFCite
Review ArticleOpen accessIn the keywordsAdvances in Forest Fire Detection, Prediction and Behavior: A Comprehensive SurveyAhmad Alkhatib, Khalid JaberForest fires are a major environmental challenge that poses a threat to both human life and ecological health. To effectively prevent and manage forest fires, it is crucial to have reliable detection, prediction and behavior analysis systems in place. This study provides a comprehensive survey of the different approaches and techniques used for forest fire detection, prediction and behavior analysis. … …Journal of Computer Science, Vol. 20, Issue 4 · 7 Feb 2024 · 6,419 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTrends Analyses for Several Factors Affected by Tropical CyclonesMd. Toriqul Islam, Md. Zakaria Hossain, Masaaki IshidaProblem statement: This study presents an analytical investigation for the trends of several factors such as number of death of peoples, damages of wealth, flood surge heights, wind speed and radius of the severe storm due to tropical cyclones in Bangladesh. Approach: The study is performed by conducting the field visits to cyclone site, collected data and information on damages … …American Journal of Environmental Sciences, Vol. 7, Issue 3 · 11 Jul 2011 · 7,432 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of the 16-20 February 2025 Damaging Heavy Rainfall in BotswanaOliver MosesHeavy rainfall that occurred from 16-20 February 2025 over most of Botswana caused, for example, flash flooding, fatalities, and widespread displacement, with the most severe impacts in the Gaborone-Mochudi region in the southeastern parts of the country. The drivers of this event are poorly understood; hence, this study analyses the rainfall characteristics using CHIRPS and station data. It also analyses … …American Journal of Applied Sciences, Vol. 23, Issue 1 · 24 Aug 2026 · 1,111 accessesView PDFCite
Research ArticleOpen accessIn the abstractReal-Time Monitoring and Injury Risk Warning Algorithm Based on Data Fusion of Motor Muscle ContractionGuomin Wang, Jingying HuangThe existing sports injury warning algorithms are difficult to achieve dynamic injury risk modeling based on individual muscle characteristics while ensuring real-time fusion efficiency of multimodal signals. This article proposes a real-time muscle contraction state perception and injury risk warning algorithm based on adaptive weighted feature fusion and lightweight temporal modeling. The system synchronously collected surface electromyography (sEMG), Inertial Measurement … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 10 Aug 2026 · 1,089 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Prediction Model for Information Anxiety of CSs Based on CMA-ES and XGBoostBin Wang, Li ShaoWith the rapid advancement of information technology, college students are increasingly facing the problem of information overload. Information anxiety, an emerging mental health issue, significantly impacts their studies, daily lives, and mental well-being. Given the limitations of existing methods in handling complex nonlinear relationships and high-dimensional data, this study proposes an efficient and accurate prediction model for college students’ information … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 21 Apr 2026 · 1,695 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Rainfall Forecasting Using Sequential Momentum-Based Artificial Neural Networks for Urban Flood ManagementSherin K K, G. SuganthiUrban floods cause severe disruption in densely populated cities and damage essential public infrastructure. Rapid urbanization and weak drainage systems further increase the risk during heavy rainfall. Accurate short-term rainfall forecasting is required to support early warning and reduce losses. This research focuses on improving rainfall prediction accuracy using an Artificial Neural Network trained with a new optimizer named Sequential … …Journal of Computer Science, Vol. 22, Issue 4 · 9 Apr 2026 · 1,539 accessesView PDFCite
Research ArticleOpen accessIn the abstractInternet of Things Based COVID-19 Patient in Self-Isolation Monitoring SystemBagaskara Akbar Fadhlillah, Ditdit Nugeraha UtamaSelf-isolation has become a critical measure for managing symptomatic or asymptomatic COVID-19 patients, particularly when healthcare facilities are overwhelmed. This study explores a monitoring system based on commercially available Wear OS smartwatches designed to track patient vital signs, specifically oxygen saturation (SpO₂), heart rate, and location, and generate alerts during atypical events. The research has two primary objectives, first, to … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,288 accessesView PDFCite
Research ArticleOpen accessIn the abstractFlood Forecasting in Malawi's Shire River BasinDaniel Nakapu Hussein, Mwakio Tole, Maarifa MwakumanyaThis study describes a study conducted in 2021-2022 in the Shire River Basin (SRB) of Chikwawa District, Malawi to evaluate how flood forecasting is currently performed and to provide recommendations for improvement. Flooding often occurs in the basin, endangering people's lives and property. A case in point is the 2015 flood and 2019 Tropical Cyclone Idai, which were so devastating … …American Journal of Environmental Sciences, Vol. 19, Issue 2 · 30 May 2023 · 7,004 accessesView PDFCite