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518 articles for “AI reliability”
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Challenges, Risks, and Limitations of Vibe Coding in AI-Assisted Software Development
Abstract: Vibe coding is a new way of programming driven by LLMs (large language models). It helps developers write code from natural language. Developers can use prompts with artificial intelligence (AI) for code generation. AI assistants generate software directly through text. They can now perform tasks and understand user requirements. This process makes software development faster and easier for developers, but vibe coding has some drawbacks. Sometimes, it leads to security …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 43–48 Read article
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Experimental and Process Optimization Study on Thermal Stress Reduction in TiC–Steel Brazed Joints Using Polymer-Derived Composite Interlayers
Abstract: In this, an experimental investigation aimed at reducing crack formation due to thermal stress in TiC-steel brazed joints through optimization of key process parameters is presented. The primary objective was to develop an integrated and reliable brazing strategy by examining the effects of filler material selection, brazing gap, cooling conditions and type of flux. In this study, polymer-derived composite interlayers were developed through controlled synthesis and nanocomposite engineering to mitigate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 524–540 Read article
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Health Buddy: Your Wellness Partner in Every Step Towards a Healthier You
Abstract: Health Buddy is an innovative and user-friendly mobile application designed to help individuals take proactive steps toward better health management. In an era where digital solutions are increasingly integrated into our daily lives, Health Buddy offers a comprehensive platform that combines a wealth of health-related information with personalized recommendations tailored to each user’s unique needs. The app is equipped with a range of features that make it easier for users …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 3, 2024 · pp. 48–53 Read article
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Automatic Brake Failure Indication with Auxiliary Braking System
Abstract: Accidents in vehicles often happen due to diverse factors, with brake failure being a significant contributor resulting from inadequate maintenance and product defects. To protect human lives and reduce the risk of accidents, effective monitoring of brake systems is vital in the automotive industry. Vehicle safety encompasses not only the prevention of accidents but also the mitigation of their adverse effects on human health. Today’s cars come with innovative safety …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 1–7 Read article
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Thermodynamic Optimization and Exergy-Based Performance Analysis of Hybrid Thermal Management Systems for Electric Vehicles
Abstract: The transition toward sustainable transportation has brought electric vehicles (EVs) to the forefront of modern engineering innovation. Despite their environmental benefits and improved energy efficiency, EVs face major thermal challenges that affect performance, safety, and durability. Efficient thermal management of batteries, power electronics, and electric drive systems is vital to ensure reliability under diverse operating conditions. This study presents a detailed thermodynamic optimization and exergy-based performance analysis of hybrid thermal …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 2, 2025 · pp. 19–23 Read article
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Surface Characterization of Heat Treated Tool Steel after W-EDM
Abstract: In order to meet the increasing demands of performance and reliability of sophisticated components, quality of a machined surface plays an important role. In this research paper, it has been tried to investigate the effect of heat treatment on the surface quality of AISI D2 tool steel after Wire-Electro Discharge Machining (W-EDM). The test specimens were prepared by milling and then carrying out hardening and tempering in different ways and …
Published in Journal of Materials & Metallurgical Engineering · Vol. 2, Issue 1-3, 2012 · pp. 178–184 Read article
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Evaluate the Impact of a First Aid Module on the Knowledge and Skills Related to First Aid Management Among Nursing Students at Gian Sagar College of Nursing, Ramnagar, Rajpura, Punjab
Abstract: Introduction: First aid refers to the immediate and temporary care provided to individuals who are injured, ill, or wounded before professional medical assistance becomes available. Since accidents can occur unexpectedly, having fundamental first aid knowledge is invaluable. It enables individuals to deliver prompt, lifesaving assistance and prevent complications until expert care arrives. Training nursing students in first aid is particularly important, as it equips them to preserve life, prevent further …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 42–55 Read article
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Women Safety Night Patrolling Device
Abstract: With increasing societal concerns regarding women's safety, the Women's Safety Project emerges as a crucial response to empower women through a secure distress signal mechanism during emergencies. This comprehensive initiative seamlessly integrates advanced hardware, including a GPS module and a distress button connected to an Arduino, alongside a dynamic web platform. The escalating challenges faced by women underscore the pressing need for a reliable safety solution, prompting the development of …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 1, 2025 · pp. 32–39 Read article
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Designing an AI-Based Platform for Stock Market Prediction
Abstract: The AI-Based Platform for Stock Market Prediction is an advanced tool designed to forecast stock prices and market trends using artificial intelligence. This platform combines machine learning algorithms, real-time financial data, and sentiment analysis to provide investors with actionable insights. The platform uses advanced predictive techniques like Long Short-Term Memory (LSTM) networks and Gradient Boosting Machines to generate precise and reliable forecasts. Additionally, it incorporates interactive visualizations and portfolio optimization …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 14–19 Read article
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Development of Software Packages for Computer Aided Design and Performance Analysis of Industrial Fractional Distillation Equipment
Abstract: This paper deals with improved CAD software packages that have been developed with the objective of improvising the existing conservative design of fractional distillation equipment. Since fractional distillation is extensively employed in petroleum refineries, distilleries and in a large number of chemical process industries, accurate design and optimised performance of these equipments are detrimental to the overall economy of these industries. Further, the efficient performance of the fractionators are dependent …
Published in Emerging Trends in Chemical Engineering · Vol. 2, Issue 3, 2015 · pp. 15–41 Read article
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Review of Machine Technique for Prediction of Depression Using EEG Signal
Abstract: Depression is a prevalent mental health disorder that affects millions worldwide, often leading to significant personal and societal burdens. Traditional diagnostic methods for depression rely heavily on subjective assessments, which can be prone to bias and inconsistency. In recent years, there has been a growing interest in utilizing machine learning techniques to predict depression based onelectroencephalogram (EEG) signals, offering a promising avenue for more objective and reliable diagnosis. This review …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 3, 2023 · pp. 23–29 Read article
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Transfer Learning in Deep Learning Models for Medical Imaging: Utilizing Pretrained Models to Improve Performance in Medical Image Analysis
Abstract: Transfer learning is now a trending technique in deep learning, especially in medical imaging. This technique solves landmark problems by utilizing the pre-trained models, including the limited availability of the annotated medical data and the time-consuming computational costs of training deep learning models from scratch. The generalizability of deep models could increase diagnostic precision for specific medical tasks, require fewer samples to train, and take less time to train due …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 67–85 Read article
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Material-Level Degradation of Magnetorheological Fluids Under Long-Term Cyclic Shear
Abstract: The long-term functional stability of magnetorheological fluids (MRF) remains a key limitation for their reliable use in adaptive systems and continuously operated magnetorheological devices. In this study, the intrinsic evolution of rheological properties in a commercial MRF (MRC-C1L) is systematically examined under prolonged cyclic loading, with the aim of isolating material-level degradation mechanisms independent of device-related effects. The fluid was subjected to 120,000 low-strain oscillatory shear cycles under a constant …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 101–112 Read article
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Remote Monitoring and Control of the Elevator Simulator Module using Internet of Things
Abstract: The concept Internet of Things is developing in exponential manner. With the new technologies available and hardware compatibility, IoT solutions promise extraordinary potential. PLC is having several advantages such as simple structure, high reliability and ease of maintenance; hence it has been widely used for elevator applications. The objective of implementing IoT system to elevator simulator module is to improve predictive maintenance, remote diagnostics and troubleshooting. This work aims to …
Published in Current Trends in Signal Processing · Vol. 10, Issue 3, 2020 · pp. 8–15 Read article
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Review on Microstrip Patch for Detection of Breast Cancer
Abstract: AbstractAs the number of breast cancer patients are increasing , we need more reliable method that can helps in detecting the type of cancer in early stages which will lead to save the patients’ lives as the earlier tumor is detected the higher chance for recovery. Therefore the aim of our project is to design compact low profile wearable antenna that is used for early cancer detection with low cost. …
Published in Journal of Microwave Engineering and Technologies · Vol. 7, Issue 1, 2020 · pp. 34–37 Read article
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STRATEGIC EVALUATION OF COST AND BENEFIT ANALYSIS OF A RURAL WATER SUPPLY PROJECT: A CASE STUDY OF DEI-DEI COMMUNITY, ABUJA, NIGERIA
Abstract: Strategic evaluation of some rural water project in Nigeria is crucial for adequate water supply and public health. The aim of this research is to evaluate the cost and benefits for a proposed rural water supply scheme identifying the optimum alternatives to be chosen for the water supply scheme. To provide safe, adequate and reliable water supply and sanitation services to selected low-income rural communities through community-based arrangements and to …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 2, 2019 · pp. 11–28 Read article
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Harnessing Sustainable Technologies: Advancing Renewable Energy for Climate Change Mitigation
Abstract: Climate change poses a significant threat to global ecosystems, economies, and human livelihoods, necessitating urgent action to transition toward sustainable technologies. Renewable energy systems have emerged as a cornerstone of this effort, offering clean, efficient, and scalable alternatives to fossil fuels. This paper explores the critical role of sustainable technologies in mitigating climate change, focusing on advancements in solar, wind, hydroelectric, and biomass energy systems. Key innovations, such as high-efficiency …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 3, 2025 · pp. 11–18 Read article
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Robust Classification of Traffic Signs Using Relief Feature Reduction Technique
Abstract: Ensuring driver safety amidst the rapid growth of global population and vehicular density continues to be a paramount challenge for transportation authorities and governments worldwide. With the rise of smart mobility solutions and autonomous driving technologies, the ability to detect, classify, and respond to traffic signs accurately has become critically important, especially under diverse and adverse environmental conditions such as rain, fog, or poor lighting. Reliable traffic sign recognition not …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 30–37 Read article
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REVIVE: An AI-Powered Medical Recommendation System for Optimised Resources and Improved Patient Care
Abstract: Dr. Revive is an AI-powered medical recommendation system designed to enhance virtual healthcare interactions by connecting patients, doctors, and healthcare stakeholders. Leveraging advanced machine learning algorithms, it analyses user-reported symptoms to provide initial medical recommendations, serving as a reliable first point of guidance. With access to a comprehensive medical database, the platform delivers accurate and timely advice, empowering patients while supporting healthcare professionals with data-driven decision-making. By offering a complete …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Development of Lightweight Chassis and Efficient Drivetrain for Formula Student Applications
Abstract: The chassis and drivetrain of a Formula Student vehicle are designed, analyzed, and optimized in this research study with an emphasis on manufacturability, performance, and safety. The project emphasizes the use of advanced engineering tools such as SolidWorks for computer-aided design (CAD) and ANSYS for structural analysis to evaluate the chassis under various dynamic conditions. The primary objective is to ensure that the driver remains safe inside the cockpit while …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 1–17 Read article