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588 articles for “Computation model”
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Tribological Performance and Wear Coefficient Prediction of AA2024–TiC Composites via Python-Based Machine Learning
Abstract: Determining wear coefficient accurately serves as a critical factor to maximize engineering materials' tribological characteristics. The experiment examines the wear characteristics of TiC-reinforced AA2024 aluminum alloy subjected to different tribological operating conditions. A pin-on-disc tribometer performed wear tests under different conditions of load and TiC weight fraction and sliding speed and duration. ANOVA statistical results show that load intensity and TiC reinforcement density stand out as principal variables that affect …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1099–1112 Read article
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Advanced Private Cloud Security and Privacy Preservation Through the Integration of Machine Learning and Cryptography
Abstract: In modern technological landscapes, private cloud security is of paramount concern due to the ever-increasing volume and complexity of cyber threats. This research work explores the integration of machine learning and cryptography to enhance security within private cloud environments. This study aims to mitigate vulnerabilities that may compromise data integrity, confidentiality, and availability in private cloud infrastructures by using machine learning algorithms and strong cryptography. By detecting anomalous cloud patterns …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
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Simulation of Flow Vorticity and Instability Analysis in a Solid Rocket Motor
Abstract: Combustion instability is a major problem in most solid rocket motor (SRM) during its operation. More form of instability is generated due to several factors like coupling of combustion acoustic waves with flow dynamics, grain configuration, combustion chamber design, combustible mixture, etc. This type of flow turbulence is sustained in such system for long durations and leads to failure of the mission. In this paper, an effort has been made …
Published in Journal of Experimental & Applied Mechanics Read article
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Pathophysiology Reimagined: Integrating Systems Biology and AI for Disease Understanding
Abstract: Pathophysiology, the study of disease mechanisms at molecular, cellular, and systemic levels, has traditionally relied on reductionist approaches that often fail to capture the complex, dynamic, and interconnected nature of biological systems. Diseases such as cancer, neurodegenerative disorders, and infectious diseases arise from intricate interactions among genetic, epigenetic, metabolic, and environmental factors, necessitating integrative, data-driven methodologies for a deeper understanding. Systems biology has emerged as a powerful approach by leveraging …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 63–71 Read article
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Advances in Biological Systems Modeling for Predicting Drug Effects in Chronic Disease
Abstract: Biological systems modeling has emerged as a promising tool for understanding and predicting the effects of drugs in the treatment of chronic diseases. Chronic diseases, such as diabetes, cardiovascular diseases, and neurodegenerative disorders pose significant challenges to traditional drug development due to their complex, multifactorial nature. Systems biology approaches, which integrate computational modeling with experimental data, provide a holistic view of disease mechanisms and treatment responses. This review explores recent …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 17–22 Read article
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Advancement in Image Classification: Media Player Control Using Hand Gestures
Abstract: We explore the development of picture categorization methods in this paper, with an emphasis on how they are used to manipulate media players with hand gestures. Our investigation focuses on the development of machine learning techniques, particularly on supporting vector machines (SVM) and convolutional neural networks (CNN). SVMs are used to identify and authenticate people from digital photos or video clips, but CNNs are great at face detection, which is …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Quantum Mechanics: Revolutionizing Pharmaceutical Sciences
Abstract: Quantum physics and pharmacy have generally been regarded as distinct areas—one investigates the microlevel behavior of non-living matter while the other concentrates on intricate biological systems. Nevertheless, progress in life sciences has increasingly depended on molecular-level insights, whereas quantum physics has advanced beyond basic principles to impact real-world uses. This intersection provides new opportunities for, pharmacy. Quantum entanglement, which allows for instantaneous relationships between particles, can be utilized for secure …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 1, 2025 · pp. 72–77 Read article
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Oceanmind Systems: AI-Driven Marine Life Intelligence for Climate Prediction and Ocean Ecosystem Stability
Abstract: Oceans regulate global climate systems, support biodiversity, and serve as critical carbon sinks, yet they remain under-monitored relative to their ecological importance. Traditional oceanographic methods rely heavily on satellite sensing, buoy networks, and periodic marine surveys, which often fail to capture real-time biological dynamics at micro-ecosystem levels. This paper introduces OceanMind Systems, an artificial intelligence (AI)-driven marine intelligence framework that integrates marine life behavior, oceanographic data, and computational modeling to …
Published in International Journal of Marine Life · Vol. 3, Issue 2, 2026 Read article
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Advanced Design and Prototyping with Fabrication, Architecture, And Material Design Techniques For 3D Printing Hybrid Polymer Composites
Abstract: Hybrid polymer composites are big steps forward in the field of 3D printing. They combine different materials to improve their engineering qualities, usefulness, and use potential. This essay looks at the advanced design and testing methods needed to use 3D printing to make and create mixed polymer materials. First, we look at material design methods, with a focus on choosing plastics and support materials that help the composite have the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 22–36 Read article
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Recent Developments in Structural Genomics: Uncovering Cellular Functions
Abstract: Structural genomics has become a groundbreaking field for understanding cellular functions by revealing the three-dimensional structures of proteins and other biomolecules. This field combines advanced methods like X-ray crystallography, nuclear magnetic resonance spectroscopy, cryo-electron microscopy, and computational modeling to explore the molecular structure and behavior of cellular components. Recent advances have significantly accelerated the pace of structure determination, bolstered by high-throughput methods and artificial intelligence tools like AlphaFold. These developments …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 30–35 Read article
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Thermal Comfort Analysis Thermostat Valve
Abstract: Recent analysis that has given performance on the basis of thermal analysis of thermostat valve. Play an important role in automobile Cooling system. And its performance can change according to its different temperature conditions. Thermostat valve has been extensively study with the primary direction it's Bring Down engine temperature and upgrade performance of engine. Thermostat valve play an important role in automobile cooling system for durable the engine temperature in …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation Read article
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Personalized Nutrition and Exercise: Pioneering the Path to Precision Medicine
Abstract: Preventive healthcare is about to undergo a major shift thanks to the personalised exercise and nutrition paradigm, which is based on precision medicine concepts. In order to create tailored recommendations for improving health outcomes and preventing chronic diseases, this article explores the integration of genetic profiling, metabolic evaluation, and lifestyle factors. A person's response to food and exercise depends heavily on genetic and metabolic variances, which emphasises the need of …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 2, 2024 · pp. 42–46 Read article
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Optimizing Microbial Consortia for Enhanced Biofuel Production: A Metabolic Engineering Approach
Abstract: Biofuels, derived from renewable biomass sources, offer a promising avenue for reducing greenhouse gas emissions and mitigating environmental impact. Among the various approaches to biofuel production, microbial fermentation using microbial consortia has gained significant attention due to its potential for enhancing efficiency and sustainability. Microbial consortia, consisting of diverse populations of microorganisms, exhibit synergistic interactions between different types of microbes that can improve substrate utilization and metabolic robustness compared to …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 46–53 Read article
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Development and Performance Evaluation of Hybrid Solar Water Heating and Distillation Systems for Sustainable Water Supply: A Comprehensive Review
Abstract: This review article delves into the comprehensive examination of hybrid solar water heating and distillation systems, underscoring their pivotal role in addressing global water and energy challenges. With the increasing scarcity of clean water and the growing demand for sustainable energy solutions, these hybrid systems offer a promising dual-purpose approach. The article synthesizes the latest advancements in technology, design methodologies, and performance evaluation metrics, providing a holistic view of the …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 1, 2024 · pp. 8–19 Read article
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NanoBioAI: Utilizing Python to Investigate Magnetocaloric Effects in Magnetotactic Bacteria and Optimized Conditions for Thermotherapy
Abstract: The study presented in the research work represents a multidisciplinary approach, integrating biology, nanotechnology, and artificial intelligence. It specifically highlights the use of python computational power to investigate magnetocaloric effect (MCE) in magnetotactic bacteria (MTB), a phenomenon yet to be fully understood, characterized by reversible heating and cooling effects induced by magnetic fields. MTB are unique in that they contain embedded magnetic nanoparticles ranging from 10–100 nm in diameters. These …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 122–131 Read article
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Vibration Analysis of Functionally Graded Piezoelectric Actuators: A Comprehensive Review
Abstract: Recent research has been concentrated on a thorough investigation of the vibration evaluation of functionally graded piezoelectric materials (FGPM), shedding light on the potential for enhancing structural optimization and controlling deflections and vibrations. Functionally graded piezoelectric material is a type of advanced composite material possessing diverse characteristics that allow for customized mechanical and electrical responses. The existing body of academic work extensively addresses the vibration analysis of functionally graded piezoelectric …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 426–440 Read article
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Next-Generation Catalysts: Enhancing Efficiency and Selectivity in Chemical Reactions
Abstract: This study investigates the fundamental principles of coatings and their rejuvenation mechanisms, focusing on the development of advanced coatings that not only protect but also restore the performance of degraded surfaces. The article delves into the various types of coatings, including organic, inorganic, and hybrid formulations, emphasizing their distinct characteristics and applications. A significant portion of the study is dedicated to the mechanisms of rejuvenation, where we analyze how specific …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 3, 2024 · pp. 24–28 Read article
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Role of Carboxylesterases in Xenobiotic Metabolism and Detoxification: Insights for Cheminformatics Approaches
Abstract: Xenobiotics, which include a wide range of environmental pollutants, food additives, drugs, and carcinogens, are foreign chemical entities that enter the human body and may accumulate, leading to toxic effects. Phase I and phase II metabolic responses are among the detoxification procedures that are necessary to lessen these negative consequences. This review highlights the pivotal role of carboxylesterases (CES), enzymes involved in the hydrolysis of ester, amide, and thioester bonds …
Published in International Journal of Cheminformatics · Vol. 2, Issue 2, 2024 · pp. 9–17 Read article
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Aerodynamic Analysis of Foliage Stimulated Airfoil Design for Enhanced Strength with Carbon Fibre-reinforced Polymer
Abstract: Ever since the beginning of aviation, there has been an unwavering desire to improve airfoil design in order to improve aircraft performance. This insatiable desire for improvement has driven innumerable aerodynamicists to create a diverse range of revolutionary airfoils. This research investigates a revolutionary method to airfoil design, inspired by the complicated structures and aerodynamic qualities of natural leaves. Using biomimicry, the project seeks to increase the performance and efficiency …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 560–616 Read article
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Development of Robot Arm Fingers with Polymer Soft Materials
Abstract: Lightweight soft material applications have attracted attention to Basalt Fiber Reinforced Polymer (BFRP) laminates because of their impressive mechanical characteristics. The impact response and stress-strain behavior of epoxy resin laminates armored with basalt fiber and banana fiber are investigated during this project using computational and experimental approaches. The hand lay-up method was employed to create laminates with a thickness of 3 mm, dimensions of 300x300 mm², and a layout of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 432–439 Read article