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67 articles for “empirical analysis”
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Optimization of Turning Process Parameters by Genetic Algorithm Approach
Abstract: In this research, turning parameters were optimized through a genetic algorithm for the purpose to minimize surface roughness and to maximize the material removal rate. High finish quality is guaranteed through minimum surface roughness, and efficient process planning is facilitated through maximum material removal rate optimization. For predicting surface roughness and material removal rate with respect to spindle speed, feed rate, and depth of cut, the empirical models were developed …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 33–41 Read article
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Physics, Metaphysics, and the Subtle Sciences: A Dialogue between Indigenous Worldviews and Microvita Theory
Abstract: This paper explores the convergence of physics, metaphysics, and subtle sciences through a comparative analysis of indigenous knowledge systems and P.R. Sarkar’s Microvita Theory. Indigenous worldviews across various cultures articulate a holistic understanding of reality in which consciousness, matter, and life processes are deeply interconnected. These frameworks increasingly resonate with developments in quantum physics and systems theory that challenge classical mechanistic paradigms. Microvita Theory, introduced by P.R. Sarkar, posits the …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 1, 2026 · pp. 1–13 Read article
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The War's Economic Effects in the Twenty-First Century, Both Locally and Internationally
Abstract: The essay looks at how wars in the twenty-first century have affected the economy both theoretically and practically. The idea of the "military economy" is emphasized. Analysis is done on the dynamics of military spending. The causes and forms of conflicts that have taken place in the past and are happening now are explained. Researching the economic effects of Russia's war in Ukraine is emphasized. The pre-war evaluation of nations' …
Published in International Journal of Trends in Humanities · Vol. 2, Issue 2, 2025 · pp. 14–21 Read article
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Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment and Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI-powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, the …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 24–31 Read article
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Geotechnical Influence Factors in Empirical Design of Highway Pavement: The A123 Ilorin – Lokoja Highway, Nigeria Case Studies
Abstract: Site investigation and application of geological and geotechnical influence factors on the highway were investigated. Method involved field sampling, geotechnical laboratory and x-ray diffraction analysis and use of SRTM extracted slope and drainage parameters; and their integration in a GIS based multi-criteria decision analysis to derive a subgrade suitability map as a design tool. The suitability criteria classified the highway into four (4) design sections. Section one for very low …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 3, 2024 · pp. 53–70 Read article
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Application of Grey Wolf Optimizer (GWO) strategy for Malware Analysis
Abstract: The ever-evolving landscape of cybersecurity necessitates continuous advancements in malware analysis techniques. This study explores the deployment of the Grey Wolf Optimizer (GWO) algorithm as a novel bio-inspired optimization mechanism to address the challenges posed by modern malware threats. The primary objective is to enhance various facets of malware analysis, including feature selection, parameter optimization, and the overall efficacy of malware detection models. The study begins by introducing the GWO …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 43–53 Read article
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Analysis of Machine Learning in Metal Processing: A Novel Prospect
Abstract: Metal is processed by a wide range of procedures, from forming and casting to machining and riveting. Metal processing is a crucial part of modern manufacturing. The application of machine learning (ML) is driving a significant change in the sector, which has historically depended on empirical knowledge and trial-and-error techniques. Increased production, improved product quality, and resource optimization are expected outcomes of this action. This study aims to explore the …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 40–51 Read article
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Past Life Regression and Psychiatry: A Critical Analysis
Abstract: Past Life Regression (PLR) is a controversial therapeutic approach. It is done through hypnosis, which recovers memories of previous lives. Although PLR has gained some popularity in alternative medicine, it is heavily criticized in mainstream psychiatry. As the effects have not been empirically validated. This study provides a comprehensive exploration of Past Life Regression (PLR), offering insights into how it can be understood within the realm of psychiatry. It delves …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
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Exploring Antimalarial Activity of Chalcone Derivatives through QSAR
Abstract: Background: The core structure of chalcones contains a reactive α,β-unsaturated system within the aromatic rings, which plays a key role in mediating various biological effects. These effects include enzyme inhibition, anticancer activity, anti-inflammatory properties, as well as antibacterial, antifungal, antimalarial, antiprotozoal, and anti-filarial actions.Modifying the structure by introducing substituent groups to the aromatic ring can enhance potency, reduce toxicity, and expand their range of pharmacological actions. Methods: A total of …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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Studying the Effectiveness of Solar Thermal Collectors Using Nanofluid
Abstract: Energy plays a crucial role in the technological growth that humanity is now experiencing. However, new avenues for energy generation and consumption have also been made possible by this advancement in science and technology. Another major factor driving up energy needs is an increase in population density. Carbon footprints are being left on the environment by fossil fuels, which are running out more quickly. Dependence on renewable energy sources, which …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 3, 2025 · pp. 35–41 Read article
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The Role of Digital Detox in Improving Mental Health
Abstract: This study examines digital detox—the deliberate limitation of screen exposure—and its influence on mental health. A survey of 30 participants indicated that reducing screen time by at least two hours daily resulted in a 30% improvement in sleep quality, a 25% decrease in stress levels, and a 20% enhancement in overall mood stability. Statistical analysis (p < 0.05) confirmed these results. Additionally, participants following a structured digital detox plan reported …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
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Biometric Revolution in Automotive Security: Advancing Vehicle Protection Through Bio-Authentication Systems
Abstract: Concerns about security are rising as a result of the quick development of automobile technology and the rise in car theft and illegal entry. Both contemporary smart key solutions and older key-based systems have flaws that call for stronger security measures. By utilizing distinct physiological and behavioral characteristics, biometric authentication offers a novel way to improve vehicle security. Vehicles can provide tailored and extremely secure access control systems by combining …
Published in Trends in Machine design · Vol. 12, Issue 1, 2025 · pp. 12–19 Read article
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Evaluating the Usability and Effectiveness of Desktop Voice Assistants on Windows Operating Systems
Abstract: This paper presents an in-depth empirical study of usability and effectiveness regarding the use of desktop voice assistants in Windows operating systems. While a lot of research has been done on mobile-based assistants like Siri and Google Assistant, or smart speaker platforms like Amazon Alexa, desktop-based assistants remain comparatively under-explored. A total of 176 participants were surveyed to analyze their experiences with DVA in usability, multitasking, accuracy, accessibility, and overall …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 Read article
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Integrative Machine Learning Approaches for Predicting the Rheological Behaviour of Soft Magnetorheological Elastomers
Abstract: Magnetorheological Elastomers (MREs) are advanced composite materials known for their ability to alter mechanical properties under external magnetic fields, making them highly valuable in adaptive damping systems, vibration control, and smart devices. The accurate prediction of rheological behavior in soft MREs remains a significant challenge due to the complex interplay between material composition and magnetic fields. To address this challenge, this study employs a multi-pronged approach that integrates traditional material …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1083–1096 Read article
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Fractal-Entropy Guided Adaptive Signal Reconstruction for Non-Stationary Biomedical and Communication Systems
Abstract: This paper presents a novel Fractal-Entropy Guided Adaptive Signal Reconstruction (FEG- ASR) framework designed for accurate processing of non-stationary signals in biomedical and communication systems. The proposed approach integrates fractal dimension analysis with entropy- based feature evaluation to capture the intrinsic complexity and irregularity of time-varying signals. By dynamically adapting reconstruction parameters based on fractal-entropy measures, the method effectively separates noise from meaningful signal components while preserving critical information. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 Read article
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Optimizing Parameters for Dry Sliding Wear Control in Stir-Cast AA7050/SiC Composites
Abstract: Using a pin-on-disc tribometer, this study examined the dry sliding wear behavior of AA7050/SiC composites. The production of this metal matrix composite was achieved through the stir-casting process, which involved an initial step of melting the AA7050 alloy, followed by the careful introduction of silicon carbide (SiC) particles, stirring to achieve uniform dispersion, and finally, casting the molten mixture. Wear rate (WR) was determined by three operational parameters: SiC reinforcement …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1624–1635 Read article
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Comparing Results of a Study on Mathematics Instruction in English at Diploma College in Solapur District
Abstract: Study programmes at the Diploma College in Solapur include mathematics courses, which are instructed in English. Comparing the educational outcomes in the Mathematics study course with the English language of instruction is the primary objective of the paper. We concentrated on the students' proficiency in solving specific linear algebra and mathematical analysis problems. The first-year students in the Diploma study programme in Diploma College, Solapur made up the research sample. …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 12–18 Read article
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Leveraging Deep Learning for Accurate Weed Identification
Abstract: Weed control is very important for all types of agricultural businesses. The project here revolves around the application of computer vision techniques and, more concretely, deep learning techniques, for the effective recognition and classification of weeds. The EfficientNetB4 architecture is an appropriate backbone as its scalability and performance optimization is adequate. The modifier used is Adam optimization algorithm which will serve as a pre- processor for the model. Weeds at …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 90–99 Read article
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Biophilic Design as a Bridge Between Applied Vastu and Contemporary Interior Design Practice in Urban Indian Residences
Abstract: The growing disconnect between urban Indian residents and the natural environment has prompted renewed interest in design strategies that restore human–nature connections within indoor spaces. This paper investigates the conceptual and practical convergence between biophilic design—a framework grounded in the innate human affinity for nature—and Vastu, the ancient Indian architectural science that prescribes spatial harmony through alignment with natural forces. Drawing on a qualitative review of existing literature, established biophilic …
Published in International Journal of Architectural Design and Planning · Vol. 4, Issue 1, 2026 · pp. 52–61 Read article
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Thermal Analysis of Piston
Abstract: Analysis of thermal changes of piston, in an automobile an engine is heart of automobile likely in engine that actual mean to piston, who having very important role in the engine, Piston is always subjected to various loads mainly subjected to thermal and mechanical stresses. The role of piston is very clear i.e. transmit or the guide the piston rod which is connected to crankshaft while transmitting piston has to …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation Read article