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608 articles for “SCE”
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Wildfire Detection and Tracking System
Abstract: To create a precise forecast of the wildfire, it is crucial to possess the capability to recognize it and anticipate how it will distribute. The devastation of vegetation, the loss of assets, the rise in greenhouse gases, the extinction of Numerous animal species and even human fatalities can all result from wildfires. To trim back this danger, there must be a mechanism capable of detecting a fire the moment it …
Published in International Journal on Drones · Vol. 2, Issue 2, 2026 · pp. 21–29 Read article
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Intelligent Failure Detection in Biomedical Composite Materials Using Machine Vision
Abstract: The biomedical composite materials are intelligent failure-detecting, which is necessary to ensure the reliability, safety, and durability of the current healthcare equipment. This paper describes a machine vision design, which incorporates convolutional neural networks, transformer models, and ensemble learning to correctly detect and localize material defects. The proposed system takes advantage of the capabilities of high-resolution imaging, advanced preprocessing software, and deep feature learning in the identification of the intricate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Motors Using a Deep Learning-Based Torque Control with Torque Ripple Reduction under Nonlinear Magnetic Conditions
Abstract: This research discusses a deep learning strategy for torque management to minimize the effect of torque ripple in a nonlinear electric motor. Nonlinear electric motor losses may include: magnetic saturation, harmonic flux losses and inverter losses. In many cases when the system parameters deviate and/or instability issues occur, the traditional method with a model-based approach or PI control may encounter challenges. In this case, the authors proposed a hybrid approach …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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From Trace to Truth: Integrating Forensic Science, Analytical Chemistry, Medical Evidence and Artificial Intelligence in Modern Criminal Investigation
Abstract: Modern criminal investigations are inherently interdisciplinary, integrating medical research, forensic science, analytical chemistry, and artificial intelligence (AI) to transform hazy traces into reliable, legally recognised evidence. This study examines the ways in which different domains collaborate across the whole investigation process, ranging from judicial review, laboratory analysis, and computer processing to crime scene management and evidence retrieval. This research is based on a thorough review of scholarly literature and a …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 2, 2026 Read article
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A Review Paper on Scheduling of Electric Vehicle using Different Types of Electric Motor
Abstract: The rapid growth of electric vehicles has created a strong need for efficient scheduling strategies to enhance overall system performance and energy utilization. This paper presents a comprehensive review of scheduling approaches for electric vehicles by considering different types of electric motors, including direct current motors, brushless direct current motors, permanent magnet synchronous motors, switched reluctance motors, and induction motors. Each motor type exhibits unique operational characteristics that influence efficiency, …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 71–78 Read article
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Parametric Design and Multi Objective Optimization of a Two-Axle Tipper Trailer Chassis for Enhanced Strength
Abstract: The primary objective of this project is to perform a detailed analysis of the chassis frame by considering variations in cross-sectional geometry as well as material composition. The frame structure includes main longitudinal members supported by a series of cross members, and the study focuses on optimizing both these elements. Material optimization is carried out by introducing composite materials in place of conventional ones, aiming to achieve improved strength-to-weight ratio. …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 16–25 Read article
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Artificial Intelligence in Autonomous Military Weaponry Systems
Abstract: The rapid rise of artificial intelligence (AI) has transformed contemporary defence organizations, reshaping military structures, operational strategies, and the design and deployment of modern weapons. AI has significantly influenced the architecture, decision-making processes, and functionality of military systems, particularly in complex and rapidly evolving combat scenarios. This paper provides a comprehensive analysis of the growing use of autonomous military weapon systems, focusing on technological developments, regulatory challenges, governance gaps, and …
Published in International Journal on Drones · Vol. 2, Issue 2, 2026 · pp. 09–20 Read article
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RoseRAG-Based Clinical Decision Support System for Precision Medication Safety
Abstract: Medication-related errors remain a major challenge in healthcare, contributing to adverse drug events, increased hospitalization rates, and substantial healthcare costs. Conventional Clinical Decision Support Systems (CDSS) primarily rely on rule-based mechanisms for identifying drug-related problems (DRPs), including drug–drug interactions, contraindications, dosing errors, therapeutic duplication, and medication omissions. Although effective in structured environments, these systems frequently generate excessive context-insensitive alerts, leading to alert fatigue and reduced clinical acceptance. Recent developments in …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article