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518 articles for “AI reliability”
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Experimental Analysis and Validation of Cellulose Fibre Insulation Structures Considering Thermal Properties
Abstract: Cellulose fibre insulation structures made from used newspaper can be installed in attics, filling gaps between doors and windows. Many researchers focused on loose-filled cellulose fibre insulation. This study investigates the thermal conductivity, R- Value and thermal transmittance of cellulose fibre insulation manufactured from recycled cellulose materials with densities ranging from 280 to 360 kg / m³ and specimen thicknesses of 10 – 30 mm. A total of 25 structures …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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The Intelligibility in Context Scale in Tamil—Reliability and Validity Measures
Abstract: Objective: The Intelligibility in Context Scale (ICS) was originally developed by Sharynne McLeod, Linda J. Harrison and Jane McCormack in 2012. It is a 7 item parent-rated questionnaire designed to assess speech intelligibility in very young children using a quantitative score out of 5. It is intended to supplement other clinical measures of speech intelligibility in providing a comprehensive picture of the speech of children with several speech impairments (speech …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 8, Issue 3, 2019 · pp. 16–21 Read article
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Atmospheric Boundary Layer Processes: Impacts on Weather Patterns and Climate Change
Abstract: The atmospheric boundary layer (ABL) is a vital component of the Earth's climate system, acting as the interface between the terrestrial surface and the overlying atmosphere. This layer, typically extending from the surface to a height of a few hundred meters, is characterized by strong gradients in meteorological variables such as temperature, humidity, wind speed, and atmospheric pressure. Understanding the dynamics of the ABL is essential for comprehending weather phenomena, …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 22–25 Read article
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A Bibliometric Review of Sustainable Engineering of Last 30 Years: Emerging Circular and Green Polymer Science
Abstract: The application of sustainable engineering is a ground-breaking strategy for the long-term enhancement of the human condition. A holistic understanding is required for inviting more research on this topic therefore, this study intent to provide a decentralized framework with the aid of a bibliometric evaluation to examine the research trend on sustainable engineering. The study also contributes to the body of literature by providing insights into a robust, reliable thematic …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 405–416 Read article
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Innovative Applications of Smart Materials in Aviation: A Comprehensive Review
Abstract: Smart materials are transforming the aviation industry by offering innovative solutions that enhance performance, safety, and sustainability. The use of smart materials can enhance the efficiency, safety, and longevity of aerospace structures by sensing, responding, and adjusting to environmental changes in real time. The objective of this review is to examine how smart materials can be used in aviation, especially in the field of sensor networks, control systems, and structural …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 114–132 Read article
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A Machine Learning Based Artificial Intelligence Model for Detecting Heart Illness
Abstract: This study centers around the improvement of an artificial intelligence- and computerized reasoning-based heart sickness determination framework. We exhibit how AI can help with foreseeing whether an individual will get cardiovascular infection. In this review, a Python-based application for medical care research is created since it is more reliable and helps track and lay out many kinds of well-being observing applications. We show information handling, which incorporates working with all …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 50–58 Read article
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Ecomotion Cityglide Commuter E-Bike
Abstract: The transition from conventional gasoline motorcycles to electric bikes represents a pivotal step in addressing the increasing demand for sustainable transportation solutions in urban environments. This paper meticulously explores the multifaceted aspects of this transition, focusing on the technological advancements, design innovations, and societal implications associated with the adoption of electric bikes. Electric bikes, powered by Brushless DC (BLDC) motors and rechargeable battery packs, offer a suite of benefits over …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 1, 2024 · pp. 43–49 Read article
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Breaking the Cycle: The Impact of Hygiene Deficiencies on the Health of the Poor
Abstract: Poor sanitation and hygiene present significant health risks, particularly for individuals in low- income communities. Inadequate sanitation systems increase the likelihood of exposure to harmful microorganisms found in contaminated water, food, and environments. This exposure contributes to the spread of waterborne diseases such as cholera, dysentery, and typhoid, along with various gastrointestinal illnesses. Limited access to clean water and soap for handwashing exacerbates these risks, particularly for children, who are …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 1, 2025 · pp. 22–39 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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Wireless Annunciator Window for Substation Application with GSM Facility
Abstract: The work aim is to understand and design of wireless communication between annunciator window and circuit breaker, relay, transformers etc. located in switchyard of power substation. The wireless communication methods are more reliable, convenient, economical, and faster as compared to the actual wire communication system. In this paper, we have used a GSM system for sending wireless signal to the annunciator window. GSM system supports to transfer the information over …
Published in Journal of Power Electronics and Power Systems · Vol. 7, Issue 1, 2017 · pp. 22–27 Read article
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Comparison of Dynamic Postural Control with and Without Patellofemoral Pain Syndrome using Star Excursion Balance Test
Abstract: Dynamic postural control is to control posture in all dynamic activities. Balance control is much needed in all postures. It is either static or dynamic. Patellofemoral pain syndrome (PFPS) is a very common condition seen in adults as well as the elderly. Balance deficits are seen in subjects with PFPS; evaluation of the balance is a costly as well as time consuming. Majority of therapies do not have much concern …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 2, Issue 3, 2013 · pp. 1–6 Read article
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Neuromarketing a New Tool for Marketing Research
Abstract: In recent years, a new marketing research tool called neuromarketing has emerged that uses brain research in a management context and has become popular in curricula and the world of practice. Neural Production caught the attention of publishers in early 2002 by making the publisher's job easier by simplifying the way and process of searching for ideas. This article examines the role of neuromarketing theory as a useful tool for …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 20–26 Read article
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Smart Weather Monitoring and Forecasting System Using Machine Learning (ML)
Abstract: The Smart Weather Monitoring System & Forecasting using Machine Learning (ML) represents an innovative approach to modern weather prediction and monitoring. This system combines the capabilities of machine learning algorithms with vast sets of weather data to provide accurate and timely weather forecasts. By collecting and analyzing data points like temperature, humidity, light intensity, rainfall, and atmospheric pressure, the system can generate precise predictions for a wide range of applications. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 1, 2024 · pp. 12–21 Read article
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CFD Analysis of a Bladeless Propelling Unit for the Drones
Abstract: Conventionally, unmanned aerial vehicles (UAVs) and autonomous aerial vehicles (AAVs) utilize bladed propellers to produce lift, altitude, and thrust for propulsion. Yet, these blades are susceptible to abrasion when they contact external surfaces, resulting in diminished operational efficiency over time. Our ongoing investigation introduces a pioneering approach by integrating bladeless propeller technology, drawing inspiration from Dyson’s Bladeless Fan Theory. This study seeks to address the wear-related shortcomings of conventional propeller …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 3, 2024 · pp. 37–46 Read article
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Breast Cancer Detection Using Machine Learning: A Comparative Analysis of Supervised Learning Algorithms
Abstract: Globally, breast cancer remains a predominant cause of mortality among women, highlighting the urgent need for timely and precise diagnostic approaches. This research explores the application of machine learning algorithms—including Logistic Regression, SVM, Naïve Bayes, KNN, and Random Forest—on the Wisconsin Breast Cancer Dataset for effective tumor classification. Key pre-processing steps such as missing value handling, feature scaling, and dimensionality reduction were employed to improve model performance. The study evaluated …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 46–52 Read article
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Vaccine Acceptability among Healthcare Workers and Employees of St. Luke’s Medical Center – Quezon City Philippines: A Descriptive Study
Abstract: There are numerous studies and pieces of literature on the growing acceptance and hesitancy in receiving vaccines despite their crucial role in combating epidemics and pandemics. Healthcare workers are frontline workers in public health emergencies; thus, their acceptance of vaccines is critical to mitigating infectious diseases. Nevertheless, while vaccines were known to protect against the virus, vaccine acceptability remains understudied. This study aimed to evaluate the level of vaccine acceptance …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 Read article
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Eco-Design Approaches in Modern Machine Tool Construction
Abstract: In the contemporary landscape of manufacturing, sustainability is no longer optional; it is imperative. Within this context, machine tool construction presents a unique set of challenges and opportunities: these heavy, energy-intensive pieces of capital equipment operate across long lifecycles, consume substantial embodied energy and materials, and eventually require disposal or remanufacture. This study explores eco-design approaches tailored specifically to modern machine tools, covering the full lifecycle from material sourcing and …
Published in Trends in Machine design · Vol. 12, Issue 3, 2025 · pp. 23–29 Read article
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Reliability of Self Driving Cars
Abstract: One of the most prominent issues of the past ten years has been self-driving cars, which offers superior handling and more precise drive control than human- driven vehicles. Focusing on this problem results in less unacceptable mistakes made by automobiles the more computerised they are. Even if the efficient driving criteria have been raised, collisions are still the worst-case situation for the vehicles and need to be avoided. A vehicle …
Published in Journal of Automobile Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 34–41 Read article
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Under Voltage and Over Voltage Protection of Electrical Equipment - A Review
Abstract: In our modern, digitally-driven world, the seamless operation of electrical equipment is paramount, spanning industries, households, and infrastructure. However, the reliability of these vital assets is inextricably linked to the quality of electrical power supplied to them. Voltage fluctuations, specifically under voltage and over voltage events, pose significant threats to the integrity and functionality of electrical equipment. This review paper undertakes a comprehensive exploration of under voltage and over voltage …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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Development of a Generative AI Model for Early Detection and Prevention of Electrical Faults in Thermal Power Plants
Abstract: Electrical faults in thermal power plants can lead to severe equipment damage, production downtime, and safety hazards if not detected in advance. This study presents the development of a Generative Artificial Intelligence (GenAI) model for the early detection and prevention of electrical faults using predictive analytics. The proposed framework integrates Generative Adversarial Networks (GANs) with deep learning (CNN) and machine learning algorithms (Random Forest, Logistic Regression) to enhance data diversity, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 45–54 Read article