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14 articles for “SWAT model”
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Assessing Urban Surface Runoff Management Using the SWAT Model, GIS, and the Rational Method: A Case Study of Karapakkam
Abstract: Urban surface runoff management encompasses strategies aimed at regulating rainwater flow, reducing urban flooding, enhancing groundwater recharge, and contributing to disaster risk mitigation for sustainable urban development. This study seeks to optimize surface runoff management in urban settings by using the soil and water assessment tool (SWAT) model integrated with geographic information systems (GIS) to minimize flood risks. The research focuses on the peak runoff in Karapakkam, a locality within …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 4, Issue 1, 2026 · pp. 37–48 Read article
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Hydrological Modeling and Classification of Various Models: A Review
Abstract: Hydrology is the science which deals with the existence, movement and distribution of water of the earth, below the earth and earth’s atmosphere. As one of the branches of earth science, hydrology deals with the water in waterways and lakes, precipitation and snow, snow on the terrestrial and water underneath the earth and rocks. Hydrology has its links with meteorology, geography, measurements, science, material science and liquid mechanics. Engineers and …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 1–5 Read article
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Simple CRM Ticketing Tool
Abstract: The objective of this project is to design and develop a simple customer relationship management (CRM) ticketing tool specifically aimed at small and medium-sized businesses (SMBs) to help streamline customer support operations. The system enables users to raise support tickets for issues, queries, or service requests, which can then be tracked and managed by the support team. Administrators or support staff can assign tickets, update statuses, such as open, in …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 1–9 Read article
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Sign Language and Face Expression Recognition Using Neural Networks: Deep Learning Approach to Break Communication Barriers
Abstract: Our study proposes a multimodal gesture recognition system specifically designed to aid communication for the deaf community. By employing neural network concepts, we utilize 3D convolutional neural networks (3D CNNs) to extract features from both hand and face images, focusing on relevant regions. Preprocessing techniques are applied to isolate these areas of interest prior to feature extraction. Unique 3D CNN architectures are then trained for each modality to capture the …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Brain Tumor Detection Through CNN: Techniques, Dataset Insights, and Methodology
Abstract: Computer technologies are playing huge roles in some areas of the medical domain like surgery and therapy of different diseases. Researchers are doing studies and trying to experiment to detect different diseases like cancer, virus infections, and leprosy. There are many different medical imaging datasets that are publicly available for medical research purposes of diseases like cancer, virus infections, and leprosy, etc. where we can be able to access large …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 30–40 Read article
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A Lightweight Cost-Sensitive Explainable Ensemble Framework for Early Heart Disease Risk Prediction
Abstract: Cardiovascular disease is still one of the leading causes of death, and hence, the early prediction of risk is a very important task in preventive medicine. Although recent studies have shown encouraging results in the application of machine learning algorithms to the prediction of heart disease, it has been noticed that most of the algorithms are more concerned with accuracy-driven optimization than the concerns of safety and false negatives. In …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Quantification of Snow/Glacier Melt Impacts of Historical and Future Climate Change on Eastern Himalayan River
Abstract: Millions of the population on Eastern Himalayan Rivers (EHR) totally depend on, domestic use, agriculture, and hydropower. Several studies found that climate warming threatens this EHR's hydrological regime. In order to understand the hydrologic response of their headwaters and how climate change affects streamflow, a hydrological modeling study is conducted in the Teesta River Basin (TRB) in EHR using an open-source Quantum Geographical Information System (QGIS) with semi-distributed QSWAT1.5 (Soil …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 508–524 Read article
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Deep Learning Applications in Bone Fracture Detection for Improved Radiographic Diagnostics
Abstract: Bone fracture detection is a critical aspect of medical diagnostics, traditionally relying on manual interpretation of radiographic images by experienced radiologists. This discipline has undergone a revolution with the introduction of machine learning (ML), which can improve accuracy, shorten diagnosis times, and lessen human error. This study investigates the use of different machine learning methods to enhance and automate the identification of bone fractures in radiography pictures. We utilized a …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 17–22 Read article
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Leveraging Deep Learning and Cloud Computing for Water Usage Optimization in Agriculture: A Study
Abstract: Water scarcity and inefficient irrigation practices are significant challenges in modern agriculture. This research investigates how deep learning and cloud computing can be combined to enhance water efficiency in agricultural practices. Leveraging advancements in deep learning and cloud computing, researchers have developed innovative solutions for optimizing water usage. This review examines the state-of-the-art methodologies, technologies, and applications in smart irrigation systems. It explores how deep learning models and cloud platforms …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 83–91 Read article
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Data Security in IoT
Abstract: Privacy and security are among the major Internet of Things (IoT) challenges. Improper device upgrades, lack of effective and robust security agreements, user ignorance, and popularity active device monitoring is among the challenges IoT faces. In this work, we explore the background of IoT applications and security measures, and identifying alternative security as well privacy issues, methods used to protect location components and IoT-based programs, existing security solutions, and the …
Published in Journal of Multimedia Technology & Recent Advancements Read article
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AI-Based Early Diagnosis & Prevention of Diabetes
Abstract: The worldwide burden of Diabetes Mellitus, especially Type 2 diabetes (T2D) has escalated to a critical level. Early detection of diabetes is essential to reduce long‑term complications and healthcare costs. This study explores the use of artificial intelligence (AI) techniques to improve the early diagnosis and prevention of diabetes. We developed an AI model using the Random Forest algorithm, the model predicts diabetes risk based on clinical and lifestyle variables …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Enhancement of LVRT Capability in DFIG based Microgrids Using STATCOM
Abstract: The improvement of a grid-connected wind microgrid's Low Voltage Ride-Through (LVRT) capability using a Static Synchronous Compensator (STATCOM) is investigated in this research. The increasing penetration of wind energy into modern power systems necessitates advanced control strategies to maintain grid stability during voltage disturbances and fault conditions. In this study, a STATCOM is employed with an effectively tuned PI controller to provide enhanced dynamic response, voltage regulation, and reactive power …
Published in Trends in Electrical Engineering · Vol. 16, Issue 2, 2025 Read article
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Personalised Cancer Vaccination Strategies: Bridging Genomics, Bioinformatics, and Immunotherapy
Abstract: Immunotherapy has revolutionized cancer treatment by harnessing the body’s immune system to detect and destroy cancer cells. Personalised cancer vaccines are one of the most promising options because they could allow treatment to be based on the specific tumour profile of each person. The goal of these vaccines is to make the immune system recognise and fight cancer-specific antigens, which will lead to strong and long-lasting anti-tumor responses. However, moving …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 3, 2025 Read article
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Advances in Simulation and Surgical Skill Training Evolution: Narrative Integrative Review
Abstract: Simulation-based education has emerged as a cornerstone of contemporary general surgery training, driven by increasing emphasis on patient safety, competency-based education, and rapid technological innovation. Traditional apprenticeship models, while foundational, are constrained by reduced operative exposure, work-hour limitations, and variability in clinical case mix. In this context, simulation provides a structured, reproducible, and safe environment for acquisition, assessment, and refinement of surgical skills across the training continuum. This narrative review …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 1, 2026 · pp. 7–13 Read article