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1975 articles for “Operative” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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A Novel Approach to Ceiling Fan-Based System for Preventing Suicide by Hanging
Abstract: Suicide by hanging has become a significant public health issue in India. According to reports from the National Crime Records Bureau (NCRB), a considerable number of hanging cases are reported annually, with the majority being suicidal in nature. Homicidal cases disguised as hanging are extremely rare. Accurate differentiation between suicidal and homicidal hanging requires thorough examination of the crime scene in an undisturbed condition, followed by a detailed autopsy investigation. …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Neuromorphic Spiking Neural Networks and Event-Driven Hardware: Architectures, Learning Paradigms, and Experimental Realizations
Abstract: With the current computational boom the research community is seeking for more sustainable energy efficient i.e. biologically inspired models of conventional Artificial Neural Networks (ANNs). Spiking Neural Networks (SNNs) known as the third generation of neural network models, provide a revolutionary approach by mimicking the asynchronized event-driven and temporally accurate signaling of the mammalian brain. Whereas conventional deep learning models operate with real-valued activations and dense matrix multiplications, SNNs use …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 39–46 Read article
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Early Pregnancy Levels of Fasting Glucose, HbA1c, and Adiponectin as Predictors of Gestational Diabetes Mellitus Among Pregnant Women in Tamil Nadu, India
Abstract: Background: Gestational diabetes mellitus (GDM) is rapidly becoming a major public health issue across India, and Tamil Nadu continues to report some of the country’s highest incidence figures. Identifying women at elevated risk during the first trimester allows health workers to intervene early and improve outcomes for both mothers and babies. This research, therefore, examines whether fasting plasma glucose, glycated haemoglobin, and adiponectin measured at that initial visit can reliably …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 2, 2026 · pp. 10–18 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 15–24 Read article
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Comparative Study on Design and Analysis of an Iron-Box Using Different Materials
Abstract: In this study, a steady-state thermal analysis of the soleplate is conducted using four different materials (Aluminium, Stainless Steel, Titanium, and Ceramics) using ANSYS Workbench. Also, it ensures that the design adheres to safety standards and promotes efficient energy usage while examining heat distribution. In electric iron, the soleplate is the crucial part, so an analysis is done on this part. Also, a change in design was made to increase …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 192–201 Read article
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Graphene-Based Electronic Skin for Wearable Health Monitoring and Human–Machine Interaction, Materials, Structures, and AI Integration
Abstract: Graphene-based electronic skin (e-skin) has emerged as a transformative technology for next-generation wearable health monitoring and advanced human–machine interaction (HMI). Owing to its outstanding electrical conductivity, mechanical flexibility, atomic-scale thickness, and biocompatibility, graphene enables the fabrication of ultrathin, conformal, and multifunctional sensors capable of mimicking the sensory functions of natural human skin. Over the past decade, research in this domain has progressed rapidly across four interconnected fronts: material synthesis and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 175–180 Read article
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An IoT-Based Integrated Vehicle Safety System for Accident Detection and Driver Monitoring
Abstract: Driver fatigue, alcohol and slow response of emergency services are among a significant issue of road accidents. The paper will provide a real-life example of an IoT-based vehicle safety system, which will combine the accident detection, driver drowsiness and alcohol sensors with a cohesive system. The proposed system consists of use of accelerometer for sudden collision detection, infrared eye blink sensor for determining alertness of the driver and MQ-3 alcohol …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Effect of Leading-Edge Roughness on the Aerodynamic Characteristics of the Wind Turbine blade
Abstract: Leading-Edge Roughness (LER) strongly dictates boundary layer transition and performance degradation on an airfoil operating at transitional Reynolds numbers, an aerodynamic regime where shear-layer stability mechanisms remain highly complex. The wind tunnel experiments were conducted to investigate the aerodynamic impacts of surface roughness applied over 25% of the chord of a NACA 0018 airfoil using two discrete roughness gradations. Surface roughness induces an early boundary layer trip, causing elevated section …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 45–52 Read article
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Real-Time Deepfake Detection in Video Conferencing Systems
Abstract: Deepfake technology presents non-exemplary threats to video conferencing platforms, enabling advanced fraud, impression and misinformation campaigns worth billions annually. Current detection methods either exhibit latencies exceeding 100ms or rely on server-side cloud processing, raising privacy concerns. This paper presents DeepConfGuard, a lightweight hybrid architecture combining MobileNetV2 for spatial feature extraction, a bidirectional LSTM with attention for temporal modelling, and EfficientNetV2 for refinement. It reaches 94.8% accuracy with 85 ms end‑to‑end …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Real-Time System Monitoring and Resource Optimization Using Shell Scripts in UNIX/Linux Environments
Abstract: Real-time system monitoring is a fundamental aspect of system administration in UNIX/Linux environments, as it ensures optimal system performance, reliability, and continuous availability of services. In modern computing infrastructures, systems are expected to operate efficiently under varying workloads, and any degradation in performance, such as CPU overload, memory exhaustion, disk bottlenecks, or network congestion, can significantly impact user experience and system stability. Regular observation and prompt action are crucial for …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 08–15 Read article
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Efficient Data Backup and Recovery Automation Using Shell Scripts in UNIX Systems
Abstract: Data backup and recovery constitute essential components of system administration in UNIX-based environments, playing a critical role in maintaining data integrity, ensuring continuous availability, and providing resilience against various forms of data loss. In modern computing systems, data is a vital asset, and its loss—whether due to hardware failures, software corruption, human error, or cyber threats—can lead to significant operational disruptions and financial consequences. Therefore, implementing reliable and efficient backup …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 48–54 Read article
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Cooling test's impact on photovoltaic solar panel systems
Abstract: Temperature changes have a massive effect on the performance of photovoltaic (PV) solar panels that are currently extensively used for the conversion of solar power into electrical energy. The output of solar systems is limited, especially in hot climates, as heating of the panel causes output voltage and efficiency to drop. The paper explores the effects of cooling on the quality and performance of photovoltaic (PV) solar panels. In this …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Understanding the Role of Remote Sensing Techniques in Monitoring Air Quality for Effective Adherence to Environmental Impact Assessment Practices in Nigeria
Abstract: The paper reviews the Nigerian Environmental Impact Assessment (EIA) Act, outlining the established air quality thresholds and emission caps for stationary sources. The standard applies to; common pollutants like sulphur dioxide, carbon monoxide, ozone, particulate matter and nitrogen oxides; toxic metals such as arsenic, nickel, cadmium and mercury; as well as volatile organic compounds, ammonia, antimony, zinc, formaldehyde and radon.It also describes the major classifications of remote sensing applications, including …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
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Deep Reinforcement Learning-Based Intelligent Energy Management Strategy for Battery–Supercapacitor Hybrid Energy Storage Systems in Electric Vehicles
Abstract: As the number of EVs increases, smart solutions for energy management are needed that will optimize energy use, prolong battery life and boost vehicle performance. The application of conventional rule based and optimization-based Energy Management Strategies (EMS) for Battery–Supercapacitor Hybrid Energy Storage Systems (HESS) often leads to sub-optimal power management, supercapacitor mismatch and battery degradation when subjected to varying driving conditions. This study aims to design an intelligent energy management …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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An Investigation on Application of Passive Strategies to Improve Thermal Performance of Buildings
Abstract: AbstractThermal comfort is a state of mind that expresses satisfaction with the surrounding environment of the building space. It is different for every individual and also, depends on the nature of activity of each individual occupant in the building. Understanding thermal comfort is important to building architecture, since it not only the basis for building design, but also affects the field of sustainable design or Green Buildings. Buildings’ as a …
Published in Journal of Thermal Engineering and Applications · Vol. 5, Issue 1, 2018 · pp. 12–16 Read article
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Investigation of Performance Characteristics of Shell and Tube Heat Exchanger Using Helical Baffles with Parallel Flow and Counter Flow Arrangements
Abstract: AbstractShell and tube heat exchangers are widely used in process industries and refineries owing to ease of manufacturing and versatile operations. The designer always focuses on improvement in performance characteristics of STHX, based on the given heat duty and geometrical constraints. Several researchers and investigators have suggested various methods for performance optimization of shell and tube heat exchangers. In the present work, experimental investigation is performed using helical baffles in …
Published in Journal of Thermal Engineering and Applications · Vol. 6, Issue 1, 2019 · pp. 14–19 Read article
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Analysis of Different Rod Diameter for Electric Arc Welding Parameter in Mild Steel Grade Fe-415 by Using Taguchi Method
Abstract: AbstractThe objective of arc welding is to design parameters for electric arc welding to assume no-leak during the process. To achieve the selected impotent welding parameter like arc voltage, a diameter of the rod, electrode size of available literature, scientific research on the selected parameters, Taguchi method and fixed for the parameter level. This is further for three different parameters levels are fixed and (L9 = 3^3) orthogonal array experiments …
Published in Journal of Thermal Engineering and Applications · Vol. 6, Issue 3, 2019 · pp. 9–15 Read article
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Performance and Enhancement of Car Air Conditioning System
Abstract: In internal combustion engine, car air conditioning system consumes large amount of energyabout 30% of the fuel in tropic areas. In this experiment, ANOVA (Analysis of Variance)manual method is used to reduce car AC energy consumption. People set their AC to operate attemperature 18°C, even though we can set indoor temperature in between 20°C to 24°Caccording to human comfort chart. In this experiment, AC efficiency is optimized by takingvarious readings …
Published in Journal of Thermal Engineering and Applications · Vol. 7, Issue 3, 2020 · pp. 20–24 Read article
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Power Quality Issues and Challenges in Grid Connected Solar PV System: A Review
Abstract: The paper presents power quality power quality issues and challenges in grid connected solar PV system.. There arevarious control technique available in the paper those have successfully presented. Power quality compute the efficiency of electric power dispatched from generation to the domestic, industrial, and commercial customer. At least fifty per cent of power quality trouble is of voltage quality type. Voltage distortion established. Electrical strength of machine is design to …
Published in Journal of Thermal Engineering and Applications · Vol. 8, Issue 3, 2021 · pp. 25–31 Read article
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Assessment of Solar PV Generation Potential: A Case Study of RAC Section in Jaipur Division of North Western Railway, India
Abstract: Generation of electrical energy through conventional means is costly, creates environmental pollution, and demand a high level of maintenance and is also going to end one day. As a result, it is critical to tap into the previously untapped potential of ecologically friendly renewable energy resources. To address this issue, the current study presents a grid-connected PV system that is efficient, long-lasting, and environmentally beneficial. at a 650 m2 Refrigeration …
Published in Journal of Thermal Engineering and Applications · Vol. 9, Issue 1, 2022 · pp. 1–8 Read article