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943 articles for “Reliability”
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Using MCDM Methods in automotive industry- A Review
Abstract: In the automobile sector, choosing the best car necessitates weighing a number of factors, including cost, fuel economy, performance, safety, and environmental impact. In order to solve complicated situations that need the simultaneous evaluation of multiple conflicting aspects, Multi-Criteria Decision Making (MCDM) procedures are essential. Among the various MCDM approaches, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and MOORA are widely recognized for their straightforward structure …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 20–26 Read article
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Passenger car fuel economy: Insights from big data analytics
Abstract: The increasing availability of real-world vehicle telematics through On-Board Diagnostics II (OBD-II) systems has enabled data-driven evaluation of passenger car fuel economy beyond conventional laboratory-based test cycles. While standardized certification procedures ensure repeatability, they often fail to capture the influence of real-world traffic conditions, driver behaviour, and transient vehicle operation. This study presents a structured Big Data Analytics (BDA) approach for analysing high-frequency OBD-II data collected from a gasoline passenger …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 8–19 Read article
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OBD-II Big Data–Driven ML and AI-Based Virtual Sensing for Fuel Economy, Component Health, and Carbon Intelligence
Abstract: The rapid growth of connected vehicles has led to the large-scale availability of high-frequency On-Board Diagnostics II (OBD-II) data; however, much of this data remains underutilised, as existing studies and commercial systems typically address fuel economy, maintenance, or emissions in isolation or rely on additional physical sensors. Such fragmented and sensor-dependent approaches limit scalability and increase system cost, particularly in high-volume and resource-constrained vehicle markets. To address this gap, this …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 39–50 Read article
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Experimental Validation and Implementation Framework for Optimized Methane Yield Prediction in Anaerobic Digestion
Abstract: The correct validation and realistic application of optimized anaerobic digestion (AD) models are essential steps in transferring biogas production systems to real-life. This paper outlines an experimental validation and deployment pipeline of an AI-optimized model of the methane yield prediction model based on the application of more advanced machine learning and Bayesian optimization methods. Others The validated surrogate-assisted optimization model was tested with controlled laboratory-scale AD experiments at optimized operating …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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Synergistic Integration of MEMS and Spintronics for Precision Data Analytics in Cheminformatics
Abstract: The transformational potential of merging spintronics and Micro-Electromechanical Systems (MEMS) technologies in cheminformatics is investigated in this work. Recent advancements in MEMS, particularly through the use of microbeam sensors and accelerometers, enhance the precision of data collection and processing, especially in biomedical applications such as drug delivery systems and chemical sensing. The synchronization of oscillations in MEMS devices leads to improved reliability and data accuracy, enabling the development of sophisticated …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 20–26 Read article
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A Review of Electrification Trends in Agricultural Tractors: New Developments, Difficulties, and Opportunities
Abstract: A farmer is constantly searching for methods to make farming easier and use less money or labor. The main factor contributing to the high cost of farming is the use of tractors. Tractors are more expensive due to their high fuel consumption. But technology has intervened and provided an answer. The electrical engineering world’s idea to switch from fuel to DC batteries has made electric tractors more accessible and reliable …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 17–23 Read article
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Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Method: A Comprehensive Review
Abstract: Structural health monitoring (SHM) has a critical role in ensuring civil infrastructure safety, reliability, and durability through real-time, condition-based monitoring. Traditional SHM systems employ hundreds of sensors such as accelerometers, strain gauges, and displacement transducers for monitoring vast amounts of data for structural inspection, but do not effectively manage complicated nonlinear data. This research paper, “Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Methods,” investigates …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 23–33 Read article
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Structural Load Evaluation of a Low-Rise Residential Building (G+4) Using STAAD.Pro: A Review
Abstract: The structural analysis and design of multi-story residential buildings have become more complex because cities continue to grow while safety requirements become more demanding and building codes establish stricter requirements. The traditional methods of structural analysis worked through manual execution which required extended periods to complete and suffered from computational errors that primarily affected indeterminate structures and lateral loading conditions. This review paper providesa detailed evaluation of previous works related …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 40–45 Read article
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Polymeric Hybrid Systems Engineered with Multiple-Stage Energy Absorption for Temperature Control
Abstract: Polymer–composite based phase change systems offer an effective strategy for adaptive thermal management; however, most existing systems exhibit single-stage latent heat transitions, limiting their applicability in environments with fluctuating thermal loads. In this study, a thermoplastic polyurethane (TPU) polymer matrix was reinforced with two microencapsulated paraffin-based phase change materials (PCM-A and PCM-B) to achieve multi-level latent heat storage behavior. The fabricated TPU/PCM-A10–B20 polymer–composite demonstrated two distinct endothermic transitions at approximately …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 146–155 Read article
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Enhancing Trust in Education Through Blockchain- Based Credential Authentication
Abstract: Academic credentials such as degree certificates, transcripts, and course completion records are fundamental for validating an individual’s educational achievements. However, conventional credential management systems largely rely on centralized databases and physical documentation, making them vulnerable to forgery, unauthorized modification, data loss, and inefficient verification processes. These limitations reduce trust among educational institutions, employers, and learners, while also increasing administrative overhead. This study proposes a blockchain-based credential authentication framework designed to …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 1–7 Read article
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Interfacial Bonding and Performance of Polymer-Based CFRP Composites in Externally Applied Configurations
Abstract: Polymer-based carbon fiber reinforced polymer (CFRP) composites are widely used for externally bonded strengthening and retrofitting applications due to their high strength-to-weight ratio and adaptability to existing structures. In such systems, overall performance is governed not only by the fiber–matrix interaction within the laminate, but more critically by the polymer adhesive layer and its interaction with the substrate. Polymer chemistry, interfacial bonding mechanisms, processing conditions, and environmental exposure collectively influence …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 952–966 Read article
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Nano Shield-EV: Graphene and CNT-Infused Polymer Composites for Advanced EMI Shielding in Electric Vehicles
Abstract: The rapid growth of electric vehicles (EVs) has intensified the need for lightweight, thermally stable, and mechanically robust electromagnetic interference (EMI) shielding materials to ensure the reliable performance of advanced electronic systems. Traditional metallic shields, though highly effective, increase vehicle weight and restrict design flexibility, thereby motivating the search for multifunctional polymer-based alternatives. In this study, NanoShield-EV introduces novel polymer nanocomposites fabricated via melt blending and compression molding, combining engineering-grade …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1036–1047 Read article
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A Study of the Impact of AI-Powered Recommendation Systems on Consumer Purchase Decisions in the E-Commerce Industry
Abstract: Through personalized suggestions, the e-commerce industry has been affected so much that it has been overtaken by AI-powered recommendation systems. This paper examines the effects of AI-powered recommendations on online shoppers and how they influence product discovery, the engagement level of shoppers, and unplanned purchases. Emerging from the results of a survey of 55 graduates and MBA students, more than 70% of respondents claim that AI has helped them find …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 01–06 Read article
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Investigation of the independent and combined roles of Gr and ZrO₂ on strengthening behaviour of Al-7075 Composites
Abstract: This study investigates the effect of individual and hybrid reinforcements on the mechanical and microstructural behaviour of Al7075 composite fabricated using the 2-step stir-casting technique. Four compositions were made with the base Al-7075, Al-7075 3 weight % ZrO2, and Al-7075 3 weight % Gr as well as a hybrid composite Al7075 with 3 wt.% Gr, 3 wt.% ZrO2. 2-step stir-casting was used to increase the wettability of the particles, decrease …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1060–1075 Read article
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Bone Grafting in Dentistry: From Biological Principles to Contemporary Regenerative Applications
Abstract: Bone grafting plays a pivotal role in contemporary regenerative dentistry by enabling predictable reconstruction of alveolar bone defects resulting from periodontal disease, tooth extraction, trauma, or pathology. Adequate bone volume and quality are essential prerequisites for successful implant placement, periodontal regeneration, and long-term functional and esthetic outcomes. Bone graft materials act as biological or synthetic scaffolds that facilitate new bone formation through the primary mechanisms of osteogenesis, osteoinduction, osteoconduction, and …
Published in Research and Reviews: A Journal of Dentistry · Vol. 17, Issue 1, 2026 · pp. 6–13 Read article
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AI-Enabled Linear Regression Model for Spectroscopic Milk Adulteration Analysis
Abstract: Milk adulteration poses a serious threat to public health and quality assurance in the dairy industry. This requiring rapid, reliable, and non-destructive detection techniques. This study presents a linear regression-based analytical model for identifying and quantifying milk adulteration using spectroscopic data. Spectral measurements of milk samples, including both pure and adulterated variants were acquired using spectroscopic techniques at relevant wavelengths.Blending of other components in pure milk , is specifically called …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 1, 2026 · pp. 28–42 Read article
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Managing Blow-by in Modern Engines: A Comprehensive Review of Crankcase Ventilation Technologies
Abstract: Blow-by in internal combustion (IC) engines occurs when high-pressure combustion gases escape past the piston rings into the crankcase. These gases typically carry oil aerosols, unburned hydrocarbons, and fine particulate matter, which, if not effectively managed, can disrupt lubrication, accelerate component wear, and contribute to harmful emissions. Effective crankcase ventilation is therefore essential not only for ensuring engine durability but also for meeting increasingly stringent emission regulations. This paper examines …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 317–324 Read article
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A Comprehensive Review on Federated Learning in Disease Detection
Abstract: Healthcare data, which is frequently dispersed among various organisations, has enormous potential to improve predictive analytics and illness identification. However, there are substantial privacy & legal obstacles to sharing this private data for centralised model training. Federated Learning is a paradigm shift that allows several organisations to work together to build a global model without disclosing raw patient information. Federated Learning uses a larger dataset to provide more reliable insights …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 1–21 Read article
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Vision Sense Rover
Abstract: This paper presents the design and implementation of an autonomous obstacle-avoiding robotic system utilizing an Arduino Uno microcontroller, an ultrasonic distance measurement module, a servo-based scanning mechanism, an L298N motor driver module, and an ESP32-CAM for real-time visual monitoring. The proposed system is developed to operate without human intervention, using sensor- driven decision making for navigation. The ultrasonic sensor continuously measures the distance to adjacent obstacles, while the servo motor …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 38–43 Read article
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A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection
Abstract: Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high. Traditional screening processes are subjective and vulnerable to inter-observer reliability issues and diagnostic errors, being primarily based on manual interpretation of medical images. To address these limitations, Deep Learning (DL) …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–34 Read article