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270 articles for “election prediction”
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Association Rule Mining for Predicting Heart Disease: Challenges and Opportunities
Abstract: The exponential growth of digital healthcare data has spurred innovative applications of data mining techniques in medical research and practice. Among these, association rule mining stands out for its ability to uncover meaningful correlations within diverse datasets, such as electronic health records, imaging data, and genetic information. This paper reviews the application of association rule mining in predicting heart diseases, emphasizing its potential to enhance early detection, risk stratification, and …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 29–34 Read article
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Analyzing And Predicting the Battery Health of Battery Energy in EV’s
Abstract: The most widely used energy storage components in products like electric cars, portable electronics, and energy storage systems are lithium batteries. On the other hand, if lithium batteries are not regularly checked, they may perform worse, have a shorter lifespan, or even explode or cause serious harm. Our proposal is to develop a state of health monitoring system for lithium batteries and an algorithm for estimating the state of charge …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 28–37 Read article
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“Automated Real-Time Transformer Health Monitoring System Using IoT”
Abstract: Transformers play a crucial role in the architecture of electricity production and distribution. To guarantee that a transformer performs successfully and efficiently, performance must be closely monitored. Manual and time-consuming procedures are used to monitor transformer characteristics such oil level, temperature, and pressure. To solve this issue, an IoT-based transformer parameter monitoring system may be a good choice. Designing and implementing an IoT-based transformer parameter monitoring system that enables real-time …
Published in Journal of Semiconductor Devices and Circuits · Vol. 10, Issue 1, 2024 · pp. 16–23 Read article
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Comprehensive Review of the Fundamental and Functional Properties of Crystalline Materials
Abstract: Crystalline materials, characterized by their highly ordered atomic arrangements, serve as the backbone of modern engineering and technology. This review provides a detailed examination of their diverse properties, categorized into mechanical, thermal, electrical, and optical domains. We analyze fundamental mechanical parameters such as the elastic modulus, yield strength, and fracture toughness, alongside functional behaviors like fatigue and creep. The discussion extends to thermal transport and expansion, electrical conductivity and resistivity, …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 1, 2026 · pp. 20–24 Read article
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Evaluation of Critical MMAW Welding Defects Using Computer Simulation in Industrial Manufacturing Systems
Abstract: Manufacturing is one of the key sectors of any countries GDP and welding is one of the prime manufacturing processes of the manufacturing sector. Welding has several notable advantages over mechanical joining techniques, including higher structural integrity, design flexibility, and cost and weight lowers. Welded products/structures are subjected to serious issues of residual stresses and distortions. The performance and sturdiness of the welded structures are severely impacted by weld remaining …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 18–26 Read article
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A Study to Assess the Risk Factors Associated with Sudden Death in Population on Hemodialysis
Abstract: Background: Patients with chronic kidney disease (CKD) receiving maintenance hemodialysis (HD) experience disproportionately high mortality, with sudden death remaining a leading cause. Multiple clinical, biochemical, and care-related factors influence outcomes, yet comprehensive risk stratification models and the role of dialysis timing and early nephrology care remain inadequately explored in resource-limited settings. Objectives: This study aimed to (i) identify clinical and biochemical risk factors associated with mortality in HD patients, (ii) …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 · pp. 14–19 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article
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Recent Advances and Future Prospects in Digital Twin Technology for Battery Management Systems of Electric Vehicles
Abstract: Digital twin technology in battery management systems (BMS) for electric cars (EVs) represents a major development in the automotive industry. Digital twins provide predictive maintenance, modelling, and real-time monitoring by creating virtual copies of real-time monitoring, actual battery systems. This paper describes the functional components, architecture, and design of Digital Twin technology along with how it may be included into BMS. Emphasizing how consistent data flow from sensors improves battery …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 Read article
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Survey on Analysis and Simulation of Permanent Magnet Synchronous Motor (PMSM) under Vibration Effect using Analytical Magnetic Field Calculations
Abstract: In several application domains, induction motor drives have been steadily being replaced in recent years by permanent magnet synchronous motor (PMSM) drives. Due to the compactness, efficiency, resilience, reliability, and shape adaption to the working environment of PM motors, this is starting to become a trend. In high performance applications demanding quieter operation, permanent magnet synchronous motors are widely used. Instead of torque ripples and cogging torque, electromagnetic forces are …
Published in Journal of Microwave Engineering and Technologies · Vol. 9, Issue 2, 2022 · pp. 26–33 Read article
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A Study on AI-Enhanced Environmental Toxicology: Sensor-Driven Predictive Framework
Abstract: Traditional environmental toxicology relies heavily on labor-intensive, often retrospective, sampling and analysis, limiting our understanding of dynamic pollutant behaviors and their real-time impact on ecosystems and human health. This study presents a novel, integrated framework leveraging advanced sensor networks and artificial intelligence (AI) to revolutionize the monitoring, assessment, and predictive modeling of environmental contaminants. We deployed a sophisticated array of multi-parameter sensors (e.g., electrochemical, optical, biosensors for heavy metals, organic …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 3, 2025 Read article
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Corrosion Characterisation of Low Alloy CrMoV Steel Before and After Cryogenic Heat Therapy
Abstract: Low alloy CrMoV steel is used in Turbine wheels, Distance pieces, Compressor aft shafts etc of Gas Turbines. Cryogenic heat treatment was used to examine the effects on the corrosion resistance of low alloy CrMoV steel. In order to eliminate residual stresses and boost wear resistance in steels and other metal alloys, cryogenic heat treatment (CHT) employs cryogenic temperatures (i.e., below - 190°C) to treat work parts. Cryogenic treatment is …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 63–73 Read article
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A Machine learning approach to asses carbon emission, utility to produce biomaterial
Abstract: The transportation sector, and the automotive industry in particular, has grown significantly over the last ten years. However, these quick advancements have also brought about important problems that require workable answers. The problem of carbon emission is responsible for global warming due to greenhouse gas emission. The present work is focused on CO2 emission from public and personal transport within Agra city on a real-time basis. In the context of …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 1, 2025 · pp. 22–30 Read article
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BATTERY/SUPERCAPACITOR HYBRID SYSTEM FOR ELECTRIC VEHICLES
Abstract: The paper is focused to the design and development of a new hybrid system to power electric vehicles. The system is made up of a conventional lithium battery that is used to propel the vehicle when there is no acceleration or the acceleration and power demand are low or moderate, and a supercapacitor that powers the electric vehicle at high power demand periods or when the acceleration is relevant. The …
Published in Journal of Automobile Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 20–42 Read article
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Simulation Results of Harmonic Compensation by Using PQ Based PI Controller for Grid Connected Current Controlled DG Unit
Abstract: With the development of new technologies and electronic devices, one of the main topics of special concern is the aspect of power quality, amongst which control and prediction of harmonics are of utmost importance. The presence of harmonics caused by nonlinear loads which are common in industrial plants and large scale office buildings means a threat to the sensitive equipments like that of computers, adjustable speed drives, power electronics load …
Published in Trends in Electrical Engineering · Vol. 6, Issue 2, 2016 · pp. 64–72 Read article
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Theoretical and Experimental Analysis of PMDC Motor in Hybrid Electric Vehicles
Abstract: In this modern world the applications of the electric motors have been very tremendous. The Auto mobile world is now switching from IC engine technology to hybrid electric technology. There has been enormous usage of high capacity electric motors in heavy load vehicles but a very small amount of work has been done in the sector of low load carrying vehicles like Hybrid electric rickshaw. Thus in this discussion we …
Published in Journal of Automobile Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 8–19 Read article
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Feature Extraction and Analysis of Bearing Faults: A Review
Abstract: One of the most important steps in identifying bearing problems is feature extraction. In order to provide a more meaningful dataset, it entails locating and extracting pertinent features from raw bearing vibration signals. Tasks involving categorization and prediction can then make use of these attributes. In many practical applications, such as monitoring rotating machinery or electronic components, the raw signals collected (e.g., vibration, current, temperature) are often complex, high-dimensional, and …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 20–28 Read article
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Analysis of Machining Parameters in Wire EDM with Aluminum Alloy Using PCA and TOPSIS Approach
Abstract: Although the efficiency of traditional cutting processes is inadequate by the mechanical properties of the processed material and the intricacy of the work piece geometry, electrical discharge machining (EDM) being a thermal erosion process, is subject to no such limitations. This paper summaries the suitable use of Taguchi’s L27 orthogonal array which takes 27 experimental runs to develop a mathematical model for correlating the interactive and higher order impacts of …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 2, 2017 · pp. 1–11 Read article
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Hybrid Polymer Nanocomposites with Enhanced Dielectric and Optical Properties for Wireless Communication Systems
Abstract: The incorporation of nanofillers into polymer matrices offers a promising approach to enhancing the multifunctional properties of composite materials. This study examines the effect of nanofiller concentration on the dielectric performance, mechanical strength, thermal stability, optical absorbance, and electromagnetic interference (EMI) shielding effectiveness of polyvinylidene fluoride (PVDF)-based nanocomposites. Titanium dioxide (TiO₂) and zinc oxide (ZnO) nanofillers were incorporated at varying concentrations to assess their influence on material properties. EMI shielding …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 518–549 Read article
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Active and Passive Automotive Safety: A Technical Review
Abstract: Safety of an automobile is one of the important areas while designing a vehicle. This paper gives an overall view of the different safety features that are taken care of while designing a vehicle. Available technologies of different active and passive safety features were analyzed. These technical features once incorporated in design not only help in avoiding the accidents but also reduce the fatigue caused to the driver which further …
Published in Journal of Automobile Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 10–19 Read article
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Mental Health and Artificial Intelligence (AI): Marching towards Future
Abstract: One of the most crucial but frequently disregarded facets of our wellbeing is our mental health. In the medical domains of dermatology, radiology, and oncology, artificial intelligence (AI) is being used more and more. AI hasn't been heavily utilised in mental healthcare, though. The need for AI to help identify high-risk individuals and give interventions to prevent and treat mental illnesses is essential due to the high morbidity and mortality …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 3, 2023 · pp. 91–95 Read article