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339 articles for “Quality tools”
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Need for an Integrated Modelling Approach for Mixed Traffic Flow Phenomena
Abstract: Traffic flow modelling can be in general categorised into three broad categories.Macroscopic models are generally based on aggregate level of traffic flow; whereasmicroscopic tools are more disaggregated and dynamic in nature. Benefiting from thesteadily increasing availability of affordable computing power, these more detailedmodels have become the tool of choice for operational studies, commonly in the form ofmicroscopic simulators. Among other dynamic models, mesoscopic ones are acompromise between the macro and …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 1, 2014 · pp. 20–26 Read article
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Total Intravenous Anesthesia Versus Inhalational Anesthesia in Ambulatory Surgery: Effects on Recovery, Postoperative Outcomes, and Patient Satisfaction
Abstract: Ambulatory surgery has expanded rapidly, creating a need for anesthetic techniques that promote rapid recovery, minimal complications, and high patient satisfaction. Total intravenous anesthesia (TIVA) and inhalational anesthesia are widely used in day-care surgical practice, each with distinct pharmacological and clinical characteristics. This article compares TIVA and inhalational anesthesia with respect to perioperative hemodynamic stability, depth of anesthesia, recovery profiles, postoperative pain, postoperative nausea and vomiting (PONV), discharge readiness, and …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 2, 2026 · pp. 18–27 Read article
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Multipurpose Farming Robot Control
Abstract: Conventional agricultural practices frequently involve a significant amount of manual labor and are prone to inefficiencies and resource waste.The relevance of incorporating robotics and mobile technology into agriculture lies in addressing several critical challenges faced by the industry. The implementation of IoT technology in smart farming systems. It covers various IoT applications in agriculture, such as environmental monitoring, automated irrigation, and precision farming, highlighting the benefits and challenges of IoT …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 2, 2024 · pp. 19–25 Read article
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Trends and Applications of Artificial Intelligence in Mechanical Engineering: A Review
Abstract: Artificial Intelligence (AI) has become a revolutionary force across various fields, including mechanical engineering, where it is redefining traditional approaches to design, manufacturing, maintenance, and overall system optimization. This review aims to provide a comprehensive introduction to AI and explore its diverse applications within the domain of mechanical engineering. The study begins with a foundational overview of AI, including key concepts such as machine learning, neural networks, deep learning, and …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 30–35 Read article
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Methodology for Evaluating Code Synthesis in Large Language Models: ChatGPT and Copilot: A Review
Abstract: The authors introduce a comprehensive framework to assess the code-generation capabilities of large language models, focusing on ChatGPT and Copilot through a benchmark suite of 25 program synthesis tasks. Their main goal was to show why making proper comparisons is important, they did not focus on choosing the newest models, since they keep changing frequently. The critique examines how the methodology addresses both functional and non-functional aspects of code. In …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 01–07 Read article
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An Analysis of Machining Parameters for Metal Matrix Composite
Abstract: The electro-discharge machining analysis of hybrid Composite is presented in this work. Variables are chosen for the input process parameters. The material removal rate is acknowledged as an output parameter, together with the current, graphite and silicon carbide percentage and pulse on time. We used the Taguchi Method to conduct our experiments. To create the theoretical model and look into how process parameters affect the rate at which material is …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 76–85 Read article
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Modernization in Urban Water Distribution System: A Review
Abstract: The physical infrastructure always plays an important role in the urban area. In the water distribution system, usually the water supplied from the various reservoirs to the consumers. The outline of the pipeline will track the road network of the concerned area. Due to rapid urbanization, in an urban area, the demand of water is increasing day by day. Due to this, the pressure on the existing network is growing. …
Published in Journal of Water Resource Engineering and Management · Vol. 5, Issue 2, 2018 · pp. 45–50 Read article
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Polymeric Materials in Assistive Devices for Cerebral Palsy: Advances and Applications
Abstract: The neurological condition known as cerebral palsy (CP) impairs muscle coordination and movement often necessitating assistive devices for mobility, support, and rehabilitation. These devices are crucial for enhancing CP patients' quality of life by boosting their independence, comfort, and overall functionality. Recent advancements in polymer chemistry have revolutionized the development of assistive devices, offering enhanced flexibility, durability, and biocompatibility. The integration of polymeric materials in orthotic supports, adaptive braces, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 316–322 Read article
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Artificial Intelligence and the Future of Education
Abstract: Artificial Intelligence (AI) refers to the capability of a computer system to mimic human intelligence by performing tasks such as learning, reasoning, problem-solving, and decision-making. As a rapidly evolving and emerging technology, AI holds the potential to transform a wide range of sectors, including healthcare, transportation, business, and notably, education. Its application in the educational domain is gaining momentum, aiming to create more efficient, engaging, and personalized learning environments. Incorporating …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 39–44 Read article
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Finite Element, Experimental, and Machine Learning-Based Optimization of Machining Stability for Polymer Composite Material Processing
Abstract: The machining of polymer composite materials, particularly fibre-reinforced polymer-matrix composites, requires stable spindle-tool performance to avoid delamination, fibre pull-out, matrix cracking, thermal softening, poor surface integrity, and premature tool wear. In line with the scope of the Journal of Polymer & Composites, this study presents an integrated finite element, experimental, and machine learning framework for improving machining stability during end-milling of composite material systems. The spindle-tool assembly is modelled using …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Computational Biomodeling: Transforming Drug Design with Advanced Simulations
Abstract: Computational biomodeling has emerged as a transformative approach in the field of drug discovery, significantly enhancing the efficiency and precision of identifying and optimizing potential drug candidates. This article explores the various computational techniques utilized in drug design, including molecular docking, molecular dynamics (MD) simulations, free energy calculations, and virtual screening, and examines how these methods collectively contribute to the drug development process. The integration of these advanced simulations allows …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 24–29 Read article
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A Review on Digital Twin Technology in Robotics
Abstract: Digital Twin (DT) technology has emerged as a transformative concept in robotics and automation, enabling virtual representation of physical systems, real-time monitoring, and performance optimization. This review explores the foundations of Digital Twin, its integration in robotic systems, key enabling technologies, applications, current challenges, and future research directions. The paper concludes by highlighting how Digital Twin transforms design, control, prediction, and human-robot collaboration.Digital Twin technology is transforming the field of …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 10–15 Read article
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A Comprehensive Review on Male Infertility
Abstract: The failure to attain a clinical pregnancy naturally after one year of unprotected intercourse is termed as infertility. Some of the factors that contribute to Infertility are late marriages, advanced age, genetics and lifestyle to name a few. To tackle this scenario, infertile and sub fertile couples take the aid of assisted reproductive technology. Intra uterine insemination (IUI), In vitro fertilization (IVF), Intra cytoplasmic sperm injection (ICSI), surgical sperm retrieval …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 3, 2025 · pp. 95–103 Read article
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Integrating Genetic Algorithms with Lean Manufacturing for Enhanced Production Efficiency
Abstract: Lean manufacturing is a well-established philosophy focusing on the systematic reduction of waste and the ongoing development of value supplied to the customer. It emphasizes efficiency, quality, and adaptability through ideas such as just-in-time production, continuous improvement (Kaizen), and value stream optimization. However, the increased complexity of modern production systems, driven by global rivalry, product variety, and rapid technology innovation, has shown the limitations of classic lean tools in achieving …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 38–43 Read article
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Drug Design and Process Chemistry: Bridging the Gap between Discovery and Manufacturing
Abstract: This review explores how drug discovery connects with process chemistry to enable large- scale pharmaceutical manufacturing. While drug discovery identifies and optimizes therapeutic compounds, process chemistry adapts these compounds for mass production, addressing challenges in scalability, cost, and quality. The article examines the role of early collaboration between drug designers and process chemists, recent innovations in green chemistry and flow chemistry, and case studies that illustrate successful scale-up strategies. Emerging …
Published in Trends in Drug Delivery · Vol. 12, Issue 1, 2025 · pp. 09–21 Read article
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Visual Analytics with Machine Learning for Data-Driven Investigations of Product State Transmission in Production System
Abstract: In recent years, the significance of effectiveness and productivity has grown. Furthermore, the industry has been able to improve production system performance thanks to advances in processing power and advanced analytics. A better understanding of intermediate product stages is therefore required to take the relevant measures. To highlight the importance of this field of study, a study on data-driven probabilistic ML algorithms and their real-time applications to smart energy systems …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 2, 2022 · pp. 1–7 Read article
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What Nurses Should Know About New Ways to Treat Muscle Pain
Abstract: Muscle discomfort is a common clinical concern that can significantly limit mobility, functional ability, and overall quality of life. Recent advancements in assessment and management strategies have enabled nurses to deliver more precise, evidence-based care for patients experiencing muscular pain. Emerging diagnostic approaches now include enhanced screening scales that offer greater sensitivity in identifying pain patterns, as well as digital monitoring tools that allow continuous evaluation of symptoms across care …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 12–17 Read article
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Improving Dataset Integrity Through Automated Data Cleaning Techniques
Abstract: High-quality data is a fundamental requirement in data science for producing trustworthy analytical insights and effective machine learning models. Problems, including incomplete records, inconsistent entries, duplicate observations, and anomalous values, can severely reduce the accuracy and robustness of predictive systems. As modern datasets continue to expand in both volume and structural complexity, relying on manual data cleaning methods become time-consuming and error-prone, highlighting the growing importance of automated data preprocessing …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 40–45 Read article
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The Role of DevOps in Financial Network Security
Abstract: This study provides a comprehensive analysis of the significance of Development and Operations (DevOps) in ensuring the security of financial networks. With an ever-increasing need for speed, efficiency, and quality in the Fintech sector, integrating DevOps methodologies into operational workflow has become critical. Adopting DevOps practices not only expedites the software delivery cycle, but also ensures comprehensive security. The study explores the adoption of Secure DevOps strategies, the importance of …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 21–28 Read article
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Influence of SlS Parameters on Strength and Fatigue Durability of Polyamide-12
Abstract: Selective Laser Sintering (SLS), a laser-based polymer powder bed fusion process, has gained prominence in the fabrication of high-performance thermoplastics such as Polyamide-12 (PA12). This paper provides an extensive review of how key SLS process parameters—such as laser power, scan speed, hatch spacing, and energy density—affect the mechanical properties of PA12 components, with a specific focus on tensile strength and fatigue resistance. Studies demonstrate that increasing energy input enhances particle …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 178–191 Read article