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1604 articles for “industries”
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AI-Based Preventive Healthcare Using Quantum Computing
Abstract: With its improved performance and capabilities, quantum machine learning (QML) is becoming a promising field, especially in the healthcare industry for tasks like early heart disease prediction. In this work, a Quantum Support Vector Classifier (QSVC) is proposed as the basic classifier for a bagging ensemble learning model. Shapley Additive explanations (SHAP) are used to evaluate the significance of each attribute in the predictions in order to improve explainability. Using …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article
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Acalypha Indica Root Fibre in Polymer Composite: Mechanical Characterization
Abstract: The mechanical characteristics of Acalypha Indica root fibre reinforced epoxy resin composites, including tensile strength, tensile modulus, percentage of elongation, flexural strength, and impact strength, were studied. Composites were fabricated using epoxy glue and randomly oriented fibres of 3 mm length in varying weight ratios of 10%, 20%, 30%, and 40%. The hand layup method was followed by compression moulding to construct the composites. The study aimed to determine the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 512–522 Read article
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Advances in Polymer-Based Nanocomposites for Moisture-Sensitive Applications
Abstract: Polymer-based nanocomposites have emerged as promising materials in sensor technology due to their superior mechanical, electrical, and environmental stability. These advanced materials offer unique advantages, such as enhanced sensitivity, durability, and adaptability to various environmental conditions, making them highly suitable for sensor applications. One of the most significant breakthroughs in this field is the integration of semiconducting nanoparticles (NPs) within a polymer matrix, which has led to remarkable improvements in …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 145–152 Read article
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Advanced Polymer-Based Packaging Composite with Metal Oxide Nanofillers: Synthesis, Characterization, and Applications
Abstract: The development of high-performance polymeric composites for food packaging applications has gained significant attention in recent years due to increasing concerns about food safety, durability, and environmental impact. The increasing demand for active packaging materials that not only protect food but also extend shelf life has led to extensive research into polymer-based antimicrobial composites. Traditional packaging materials, including plastics, ceramics, and metals, often lack bioactive properties and can contribute to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 56–63 Read article
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Solving Optimization Problems Using the Graphical Method of Linear Programming
Abstract: Linear programming is a mathematical optimization technique used for maximizing or minimizing a linear objective function while satisfying a set of linear constraints. This method plays a crucial role in various industries, including manufacturing, finance, transportation, and supply chain management. Among the different approaches to solving linear programming problems, the graphical method provides a simple and intuitive way to visualize and solve problems involving two decision variables. By plotting constraints …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 2, 2025 · pp. 01–08 Read article
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Self-Healing Polymer Composites for Pharmaceutical Packaging Applications
Abstract: Pharmaceutical packaging plays a crucial role in ensuring the safety, stability, and effectiveness of pharmaceutical products. Conventional polymer-based packaging materials are prone to mechanical damage, microcracks, and environmental degradation, which can compromise drug integrity. Self-healing polymer composites (SHPCs) offer a promising solution by enabling autonomous or stimuli-responsive repair mechanisms that restore packaging integrity, enhance durability, and extend product shelf life. These materials function through intrinsic mechanisms, such as dynamic covalent …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 648–658 Read article
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Comparative Analysis of 3D-Printed and Molded Shape-Stabilized Phase Change Composites
Abstract: Thermal energy storage (TES) has become essential for efficiently storing and utilizing thermal energy across applications like industrial heating, power plants, batteries, medical devices, food preservation, and aerospace technology. Because of their high energy density, affordability, and environmental friendliness, phase change materials, or PCMs, are employed extensively. However, challenges like poor thermal conductivity and leakage limit their performance. To address these issues, 3D printing has emerged as a powerful tool …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 184–192 Read article
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E-Waste Toxicity and Its Environmental Impact, Challenges, and Solutions for Sustainable Waste Management in India
Abstract: Introduction: E-waste describes any electronic component that is obsolete or no longer functional. The ever-increasing public concern of e-waste in India stems predominantly from the aggressive expansion of the electronics industry along with insufficient recycling and disposal practices. Lead, mercury, and cadmium in e-waste pose serious risks to human health and the environment by polluting air, soil, and water. Informal recycling methods further exacerbate these hazards through unsafe practices. This …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 2, 2025 · pp. 1–11 Read article
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Comparison Analysis of Transformer Boosting and Induced Degeneration Topology Design of LNA for Millimeter Wave Frequency Range Using Polymeric Substrates
Abstract: In this study, a comparison between transformer boosting and source degeneration LNA topologies is conducted using two polymeric substrates—Polyimide (PI) and Liquid Crystal Polymer (LCP)—for millimeter-wave (mmWave) applications. With growing interest in flexible and high-frequency electronics, polymeric materials offer unique advantages such as low dielectric constants, mechanical flexibility, and thermal stability. The analysis explores gain, return loss, and noise figure performance while evaluating the influence of dielectric properties on the …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 2, 2025 · pp. 1–24 Read article
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Fertile Data: Advanced Strategies for Crop Optimization Through Machine Learning Processing
Abstract: The venture, titled "FertileData: Advanced Strategies for Crop Optimization Through Machine Learning processing" is created utilizing HTML, CSS, and JavaScript for the front conclusion, and Python for the back conclusion. In a nation like India, where a noteworthy parcel of the populace depends on agribusiness for their vocation, joining progressed advances such as Machine Learning and Profound Learning into cultivating hones can revolutionize the industry. This venture presents a user-friendly …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 25–35 Read article
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A Review on Advances in Polymer Composites and Nanocomposites: Design, Applications, and Life Cycle Assessment
Abstract: Materials based on polymer composites and nanocomposites have won the main status in several regions of industry by mare possessing excellent properties and broad range of application. This review focuses on the advancements in the design of fiber-reinforced polymers, structural composites, multifunctional composites, and biomimetic and eco-friendly composites. Emerging developments in biomedical composites, polymer foams, and smart composites are explored, highlighting their applications in medical, aerospace, automotive, and structural engineering. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 244–251 Read article
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War Between Robots and Humans: Evolution of Robots and Disasters Associated with Them
Abstract: Robotics and artificial intelligence (AI) have transformed the landscape of technology, allowing machines to take on roles that were previously thought to require human intelligence and skill. From industrial automation to military applications, the integration of intelligent robots into human society presents unprecedented benefits and equally significant risks. This paper investigates the historical evolution of robotics, the deepening human dependency on machines, and the emerging threats that suggest a potential …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 44–51 Read article
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Design and Development of Experimental Test Rig for Fatigue Life Estimation of Freewheel One-Way Clutch Used in Switchgear Applications at High Overrunning Speeds
Abstract: Freewheel one-way clutch (OWC) is a critical component used in industrial circuit breakers/switchgear to facilitate quick disengagement of the drive when an electrical circuit trips under overcurrent. The clutch acts as a safety device to endure high overrunning speeds and allows the drive shaft to rotate at normal operating speeds during each tripping cycle. The trip mechanism utilizes the stored potential energy of the helical compression spring, which is the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 289–299 Read article
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Exploring Sustainable Fuel Production from Waste: A Feasibility Study in Zimbabwe
Abstract: Some organisms are in danger of going extinct, and environmental pollution from waste plastics, tires, and used lubricating oils has significantly contributed to the decline of biodiversity. Tires, plastics, and spent oil all contribute significantly to environmental deterioration, and this issue has been linked to improper treatment and disposal of these materials. Only 15% of the 200 auto technicians surveyed for this study acknowledged that they reuse spent oil, 5% …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 1, 2025 · pp. 30–38 Read article
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Investigating The Mechanical Properties of Sisal/Areca/Sisal Natural Fiber Reinforced Composite Material Treated with NaOH and Filled with Al2O3 and Tio2
Abstract: Biopolymer-based composites which are obtained from the natural resources like plants, animal or mineral based have recently attracted significant interest because they can be used in interesting ways in biology and materials science. These materials are generally non-toxic, reusable, and recyclable, which are useful in many situations where sustainability and environmental protection are important. Plant Based fibers like Bamboo, Coir, Kenaf, Banana, Sisal, hemp and jute are proving their potentiality …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 413–425 Read article
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Identification of Parameters Contributing To The Land Tenancy Security For The Tribal Areas of Jharkhand
Abstract: The issue of land tenancy security among tribal communities in Jharkhand, India, has long been a subject of concern due to historical, socio-economic, and legal complexities. This study aims to delve into the multifaceted aspects of tribal land tenancy security by identifying key parameters that influence it. Through a comprehensive analysis of historical records, legal frameworks, socio-economic conditions, and stakeholder perspectives, this research seeks to provide visions into the challenges …
Published in International Journal of Rural and Regional Development · Vol. 3, Issue 2, 2025 · pp. 1–13 Read article
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Synthesis of Activated Carbon from Corn Cob and Factors Affecting its Adsorption and Desorption Efficiency of Cationic Brilliant Green Dye
Abstract: Extreme dye pollutants released from textile, leather, and pulp industries are becoming a major concern to the water. These pollutants are highly toxic to living things. The major objective of this study was to prepare low-cost and efficient activated carbon from corncob (CCAC) adsorbent through the H2SO4 activation method and characterize its suitability for removing brilliant green dye (BGD) from aqueous solution. The adsorption and desorption efficiency of the prepared …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 3, 2025 · pp. 27–44 Read article
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Viscoelastic Behavior and Wrinkle Formation in Cotton- Polyester Garments: A Data-Driven Approach for Textile Care
Abstract: This study investigates the wrinkle behavior of cotton-polyester blended fabrics by analyzing data from over 1,200 store-handled garments. Integrating concepts from polymer chemistry and computer vision, it aims to establish a smart textile care framework based on fiber-specific wrinkle characteristics. The research identifies how cotton’s hydrophilic and non-elastic structure results in increased wrinkling, while polyester’s thermoplastic and crystalline properties enhance wrinkle resistance. Elastomeric fibers like Lycra contribute to wrinkle recovery …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 50–60 Read article
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Tank Water Quality Analysis Using Machine Learning
Abstract: Tank Water quality is a critical factor for public health, agriculture, as well as industry. Continuous monitoring of tank water quality: temperature, humidity, water level, CO2 concentration, and pH, is vital for safe usage. Using machine learning, real-time data analysis can detect anomalies, predict issues, and optimize water management, ensuring timely responses and improved safety. This intelligent approach enhances decision-making and maintains water quality effectively in various environments.We develop an …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 27–34 Read article
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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