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1470 articles for “AI applications”
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Experimental Study on the Effect of Nose Radius for Multiple Responses in Turning of EN24 Using Grey Analysis
Abstract: The present work is to study the effect of turning process parameters on the multiple responses of material removal rate (MRR) and surface roughness (Ra). The experiments were carried out on EN24 a medium carbon steel which has a wide range of applications in the field of aircraft and automotive and mainly use in components such as gears, shafts, studs and bolts, connecting rods, propeller or gear shafts and aircraft …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 3, 2018 · pp. 10–16 Read article
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Metal Matrix Composites: Materials with the best property combination
Abstract: AbstractMetal matrix composites have been emerging out to be the most sought after materials in the field of Metallurgy and Materials Engineering. The basic driving force behind their wide applications is the fusion of ductile nature of metallic constituent and strong ceramic phases. This combination would always yield a structure with good toughness and longer service life. Aluminum-Silicon Carbide (SiC/Al) is a metal matrix composite that combine the properties of …
Published in Journal of Materials & Metallurgical Engineering · Vol. 8, Issue 3, 2018 · pp. 13–18 Read article
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Evaluating the Best Belt Conveyor Assembly Using TOPSIS Approach
Abstract: This article presents a new approach for the selection of Belt Conveyor of screening creaser on the basis of their performance. This article includes the effective factors like angle of response, load capacity of motor, raw material load capacity, raw material dimension. These all important factors affect the performance of Belt Conveyor Assembly. Therefore, determination of the best Belt Conveyor is basically a Multi-Attribute Decision Making (MADM) problem. Our aim …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 3, 2014 · pp. 1–6 Read article
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Securing The Internet of Things: Threats, Safeguards, and Future Directions
Abstract: The Internet of Things (IoT) brings immense value while also presenting cybersecurity challenges due to its scale, distribution, and heterogeneity. This study conducts an in-depth analysis of IoT security issues, threats, vulnerabilities, and mitigation strategies through an extensive review of scholarly literature and real-world case studies. A multilayered security approach is proposed, encompassing device hardening, network monitoring, encryption, access controls, governance frameworks, and emerging technologies. The analysis underscores systemic IoT …
Published in Journal Of Network security · Vol. 11, Issue 2, 2023 · pp. 26–31 Read article
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Semantic Similarity Framework for Automatic Hallucination Detection in Large Language Models
Abstract: Large Language Models can generate fluent, contextually appropriate text across a range of NLP tasks, but they frequently produce outputs that are factually wrong while sounding confident and plausible. This problem, referred to as hallucination, poses serious risks in domains where accuracy matters. We propose a post-processing framework that detects hallucinated responses by comparing them against verified reference text using sentence embeddings. The system computes cosine similarity between the response …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 16–22 Read article
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A Critical Review on Carbon Fiber Reinforcement in Various Applications
Abstract: Carbon fiber, celebrated for its outstanding mechanical properties and impressive strength-to-weight ratio, has become a critical material in various industries. This review journal, An In-Depth Study of Carbon Fiber Reinforcement in Diverse Applications, delves into the recent advancements and innovations in carbon fiber technology. The exploration includes its integration into aerospace, automotive, civil engineering, sports equipment, and renewable energy sectors. The aerospace industry leverages carbon fiber for constructing lightweight, fuel-efficient …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 490–502 Read article
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Analysis of Bioinformatics Software Applied in Computer-Aided Drug Design
Abstract: The integration of bioinformatic tools with computational methods has revolutionized the field of Computer-aided Drug Design (CADD), enabling researchers to expedite the discovery and optimization of new therapeutics. This review provides an in-depth analysis of the bioinformatic tools utilized in CADD, encompassing molecular docking, molecular dynamics simulation, virtual screening, homology modelling, and molecular visualization. We go over the tenets, approaches, and uses of these instruments, emphasizing their value in expediting …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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The Importance and Misconceptions of Artificial Intelligence in Industry and Academia
Abstract: Artificial Intelligence (AI) has been making remarkable advancements in various industries and academia. AI has been used by businesses to increase productivity, improve efficiency, and make factbased decisions. For example, AI is being used in finance for fraud detection, in healthcare for diagnosis and treatment planning, and in retail for personalized customer experiences. On the other hand, academia has been at the forefront of AI research and development, with a …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 3, 2022 · pp. 40–44 Read article
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Study of technical and economic assessment of solar-assisted and thermoelectric air-conditioning technologies
Abstract: This study presents an integrated technical and economic assessment of solar-assisted absorption and thermoelectric air-conditioning technologies for residential cooling applications. A comprehensive methodology combining mathematical modelling, experimental characterization of thermoelectric modules, numerical simulation, and economic optimization was developed to evaluate the performance of both cooling systems. The solar-assisted system employs single-effect LiBr–H₂O absorption chillers operating under water-cooled and air-cooled configurations, simulated using TRNSYS and Engineering Equation Solver (EES), while the …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 2, 2026 Read article
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Quantitative Structure-activity Relationship in Computer-aided Drug Design: A Review
Abstract: Quantitative Structure-Activity Relationship stands at the forefront of Computer-Aided Drug Design, providing a systematic framework for understanding the relationship between the chemical structure of molecules and their biological activity. The present review delves into the multifaceted realm of quantitative structure-activity relationship methodologies within the landscape of drug discovery. Through an exploration of diverse quantitative structure-activity relationship models, molecular descriptors, validation techniques, and recent advancements, the present article aims to elucidate …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 55–63 Read article
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Enhancement in Heat Transfer Rate in a Pipe in Pipe Heat Exchanger Using Helical Insert
Abstract: AbstractHeat transfer enhancement techniques are frequently used in heat exchanger system in order to increase the rate of heat transfer and improve the thermal performance of the system. This paper contains experimental study on enhancement in heat transfer rate using helical insert. The inner tube used was of copper with inner and outer diameter of 11.8 mm and 12.7 mm, respectively, and outer tube was galvanized iron, which was insulated …
Published in Journal of Thermal Engineering and Applications · Vol. 5, Issue 2, 2018 · pp. 5–12 Read article
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AI-Driven Multi-Objective Optimization of Conductive Polymer Composites for High-Performance Flexible Electronics
Abstract: The development of conductive polymer composites (CPCs) is critical for advancing flexible and wearable electronic technologies. However, the conventional trial-and-error approach to material formulation is time-consuming and often inefficient due to the high-dimensional nature of the design space. This study introduces a novel AI-driven framework that integrates machine learning (ML) with multi-objective optimization to accelerate the discovery of high-performance CPCs. A dataset of 1,000 experimentally reported formulations was compiled, capturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 734–745 Read article
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EMERGING TECHNOLOGIES RESHAPING INDUSTRIES
Abstract: Emerging technologies such as Artificial Intelligence (AI), machine learning and 5 G technology are reshaping industries rapidly. This paper contains knowledge about some of the key emerging technologies and their real-world applications in various sectors like health care, education, agriculture, transportation, finance. This includes some of the challenges and considerations arising due to the widespread use of these emerging technologies. Also exploring about the future directions due to adopting these …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 1–10 Read article
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Sustainable Membrane Technologies for Environmental and Industrial Applications: A Review
Abstract: Membrane-based technologies have become indispensable in addressing global environmental and industrial challenges, including water scarcity, pollution control, and energy efficiency. While conventional membranes provide high selectivity and process efficiency, their sustainability is limited by factors such as fouling, high energy consumption, and end-of-life waste management. Recent advances in material science, nanotechnology, and bio-inspired design have led to the emergence of sustainable membranes with improved durability, lower environmental footprint, and broader …
Published in International Journal of Membranes · Vol. 2, Issue 2, 2025 · pp. 7–12 Read article
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Advancements in O-Glycosylation Techniques with Diverse Donor Molecules
Abstract: Since the early stages of carbohydrate chemistry, numerous researchers have employed alkynyl glycosyl donors as key reagents in glycosylation reactions. These donors have played a crucial role in facilitating the synthesis of glycosidic bonds, an essential aspect of carbohydrate-based compounds. Over time, various modifications and improvements have been introduced by different research groups to enhance the efficiency, selectivity, and sustainability of glycosylation processes. A major focus has been on designing …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 7–28 Read article
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Safe Routes to School: Best Practice and their Applicability to Urban Context
Abstract: Safe routes to school (SRTS) programs aim to encourage active transportation for children through enhanced safety, accessibility, and infrastructure within the areas surrounding schools. SRTS has become increasingly popular worldwide as a method of promoting public health, decreasing traffic, and promoting community cohesion. Yet bringing SRTS to urban environments comes with special challenges. Urban locations often have high traffic volumes, inadequate pedestrian facilities, socioeconomic inequities, and variable policy backing that …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 31–35 Read article
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Examples of CAD software and the newest developments in CAD technology
Abstract: The cross-technology of product design used in the engineering field using electronic computer technology is known as computer-aided design, or CAD. As CAD applications become more widespread and well-liked, CAD technology is moving in the direction of becoming open, integrated, and intelligent. The CAD industry is developing. Today, only numerical tasks, such as calculations, analyses, and drawings, can be handled by CAD technology in mechanical design.The 3D CAD software for …
Published in Trends in Machine design · Vol. 9, Issue 2, 2022 · pp. 17–20 Read article
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Application of Priestia Megaterium in the Bioremediation of Petroleum Hydrocarbon Contaminated Environments
Abstract: Petroleum pollutants pose a serious and persistent threat to environmental ecosystems, particularly affecting soil and water quality. Effective and sustainable remediation strategies are crucial to mitigate their impact and safeguard environmental health. In this context, bioremediation—using microorganisms to degrade harmful contaminant —emerges as a promising and eco-friendly approach. The present study explores the biodegradation capabilities of the bacterium Priestia megaterium, a species previously recognized for its ability to break down …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 · pp. 7–14 Read article
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Solar based Integrated Energy Systems for Green Building Applications
Abstract: Energy consumption in buildings is increasing at a rapid rate and so is the development of renewable energy systems. India possesses huge potential for solar and wind power systems and also for, geothermal and tidal owing to site-specific characteristics and geographic location. Present paper studies the latest developments of solar based renewable energy applications for new and existing buildings, with an aim to achieve net zero or nearly zero energy …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 67–71 Read article
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The Impact of Microservices Architecture on Cloud Application Development and Deployment
Abstract: The purpose of this study is to clarify how the development and deployment procedures of applications are impacted by cloud computing and microservices architecture, as these technologies become more widely used. Applications have moved significantly to the cloud in recent years in order to benefit from lower costs, elastic scalability, and other advantages. Simultaneously, a lot of businesses are switching from monolithic programs to microservices in order to get more …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 33–51 Read article