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1951 articles for “applicability” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Development of Smart Cooling Optimization System for CNC Machining Applications
Abstract: In modern manufacturing industries, achieving high machining accuracy, improved surface finish, and extended tool life remains a significant challenge, particularly during the machining of hard materials where excessive heat generation at the tool–workpiece interface is inevitable. Conventional coolant systems often suffer from limitations such as manual control, inconsistent flow rates, and inefficient coolant usage, which negatively impact productivity and environmental sustainability. This paper presents the design and development of an …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 1–13 Read article
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Enhance the Thermal Performance and Fluid Flow Behavior in Micro-Tube Heat Exchangers with Variable Fluid Properties for Cooling Applications
Abstract: This paper focus on the substantial effects of fluid property changes and phase change events, this study provides a comprehensive transient assessment of the heat exchanger's thermal performance and fluid flow behaviour for cooling and dehumidification applications. In response to a step-change perturbation, a dynamic model was created and co-simulated to describe the moist air (shell-side) and the two-phase refrigerant (tube-side), as well as their non-linear interactions. The significant correlation …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 2, 2026 Read article
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Investigation of Areca Stem and Banana Stem fibre Hybrid Composites for Improved Strength and Sustainable Applications
Abstract: Research on natural fibre reinforced polymer composites as eco-friendly substitutes for traditional synthetic composites has intensified due to growing need for sustainable engineering materials. This work used the Taguchi L9 orthogonal array to experimentally examine and optimize the mechanical behaviour of hybrid epoxy composites reinforced with areca and banana fibres. The impacts of epoxy matrix composition, areca and banana fibre content on the composite’s tensile strength, impact strength, flexural strength, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Modern Catalytic Systems: Mechanisms, Materials Engineering, and Sustainable Applications
Abstract: Catalysis is a fundamental pillar of modern chemical science and industrial manufacturing, enabling efficient production of fuels, chemicals, pharmaceuticals, polymers, and environmentally important products through the acceleration of chemical reactions and reduction of activation energy barriers. This review provides a comprehensive overview of contemporary catalytic systems, with emphasis on the relationship between catalyst structure, reaction mechanisms, catalytic performance, and long-term stability. The discussion begins with the classification of homogeneous, heterogeneous, …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 01–09 Read article
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An Overview on the Characterization and Investigation of Polymerized Bio-Ceramics for Bone Regenerative Applications
Abstract: Many osseous faults resulting from fracture offer inherent capacity of the body to overhaul and activate the bone grafts for recovery process. In the early development, nonautologous bone grafts made of Titanium and stainless steel were suitable because of their mechanical strength, corrosion resistance, biocompatibility and durability. Biodegradable polymers belonging to the family of polymers and bioceramics also, play a major role in orthopaedics. The polymers, poly glycolic acid, poly …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 843–853 Read article
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Multifunctional Corn Husk Fibre/PLA–PBAT Hybrid Composites with Carbon-Black Percolation for Structural Self-Sensing Applications
Abstract: This study developed multifunctional polymer composites based on a PLA/PBAT (Polylactic Acid/ Poly(butylene adipate-co-terephthalate)) thermoplastic matrix reinforced with 20 wt.% corn husk fibre (CHF) and functionalized with conductive carbon black (CB) for smart consumer-electronics casings. Alkali treatment modified the lignocellulosic fibre surface, improving fibre–matrix interfacial adhesion and stress transfer within the polymer composite. Thermal characterization showed that the PLA cold-crystallization temperature decreased from 112.5 °C for the unfilled blend to …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Whey Valorization in the Dairy Industry: Emerging Technologies and Value-Added Applications
Abstract: Whey is a major by-product of the dairy industry generated during the manufacture of cheese, casein, and other dairy products. Despite being traditionally considered a waste stream, whey contains valuable nutrients, particularly high-quality proteins, lactose, minerals, vitamins, and bioactive compounds, making it an important resource for sustainable food production. Improper disposal of untreated whey can create significant environmental concerns because of its high organic load. Whey valorization, therefore, provides an …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 15, Issue 2, 2026 · pp. 42–49 Read article
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Advanced Mathematical Modelling of Nanoscale Semiconductor Devices for Low-Power Microelectronic Applications
Abstract: With the ongoing scaling down of semiconductor devices, there is an increasing need for accurate mathematical models of electrostatic control, carrier transport, leakage current, and power consumption at the nanometer scale. As the sizes of semiconductors continue to decrease, there is a growing need for accurate mathematical models of electrostatic control, carrier transport, leakage current, and power consumption at the nanometer scale. In this work, a common mathematical modelling approach …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 2, 2026 Read article
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Recent Advances in Crystal Defect Engineering of Semiconductor Photocatalysts for Sustainable Environmental and Energy Applications
Abstract: Semiconductor photocatalysis has emerged as one of the most promising green technologies for addressing environmental pollution and global energy challenges through solar energy utilization. Nevertheless, the practical application of conventional semiconductor photocatalysts is often limited by their narrow visible-light absorption, rapid recombination of photogenerated electron–hole pairs, insufficient active sites, and poor charge-transfer efficiency. Defect engineering has recently attracted significant attention as an effective strategy to overcome these limitations by deliberately …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 Read article
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Artificial Intelligence for Sustainable Agriculture, Forestry and Rural Development: Recent Advances, Applications and Research Opportunities
Abstract: Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize agriculture, forestry, and rural development by enabling data-driven decision-making, resource optimization, and sustainable management practices. Rapid developments in computer vision (CV), machine learning (ML), deep learning (DL), natural language processing (NLP), and predictive analytics have increased the use of AI in a variety of rural industries. In agriculture, AI-driven technologies support precision farming, crop yield prediction, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Beyond Conventional Membranes: Advanced Functional Platforms for Precision Healthcare and Biomedical Applications
Abstract: Traditional membrane technologies have historically been used as passive separation barriers in filtration, purification, and biomedical applications. Recent progress in nanotechnology, biomaterials, bioengineering, and surface modification has revolutionised membranes into dynamic, intelligent, and multifunctional platforms that can sense, regulate, and engage with biological systems. These sophisticated functional membranes provide unparalleled prospects for precision medicine by facilitating targeted drug administration, bio sensing, tissue restoration, organ assistance, diagnostic uses, and individualised therapy …
Published in International Journal of Membranes · Vol. 3, Issue 2, 2026 Read article
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Workflow Streamlining Through Shell Programming: A Review of Automation Techniques, Best Practices, and Applications
Abstract: The rapid advancement of modern computing systems and the increasing complexity of information technology infrastructures have created a growing need for efficient automation and streamlined system administration. Among the various automation technologies available, shell programming remains one of the most practical, flexible, and widely adopted approaches for managing repetitive tasks and optimizing operational workflows in Unix-like operating systems. Shell scripts enable administrators and developers to automate command execution, coordinate system …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 2, 2026 · pp. 9–20 Read article
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AI-Powered Prompt-to-Production Platform for Automated React Application Generation and Cloud Deployment
Abstract: The proliferation of large language models (LLMs) has fundamentally altered the landscape of automated software engineering. However, a significant “deployment chasm” persists between the generation of code artifacts and their realization as production-grade cloud applications. Traditional workflows are marred by the “DevOps Tax”: the high operational overhead of environment configuration, dependency resolution, and infrastructure provisioning. This paper presents a novel, technically adept architecture that bridges this gap through a unified …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 1–16 Read article
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Polysaccharide-Based Composite Materials for Hemostatic Applications in Trauma Care
Abstract: Uncontrolled hemorrhage remains one of the leading causes of preventable trauma-related mortality worldwide, highlighting the urgent need for rapid, effective, and biocompatible hemostatic materials. Polysaccharide-based composite biomaterials have emerged as promising candidates owing to their excellent biocompatibility, biodegradability, and intrinsic hemostatic properties. Natural polysaccharides, including chitosan, alginate, cellulose derivatives, starch, and hyaluronic acid, are increasingly combined with synthetic polymers, bioactive ceramics, metallic nanoparticles, and other functional additives to enhance mechanical …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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A Review on Image Retrieval with Its Application and Techniques
Abstract: In the field of image processing, image retrieval is one of the most dynamic exploration field in the previous few years. In the image retrieval three main categories there are text-based, content-based and semantic-based. In content based image retrieval (CBIR) images are retrieved from their visual content such as color, texture and shapes. CBIR is used to effectively retrieve required images from a large collection of images. In this paper, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 3, 2015 · pp. 27–35 Read article
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ICT Application and Academic Library
Abstract: AbstractAcademic library is a most important role player in all types of library, because academic library is a provider of a secondary education of student and teaching staff member. This is a platform for anew librarian because small area of library and management it is learning process of student and librarian, it is a best way of fulfilling the five low of Dr. S.R. Ranganathan. Now all academic library is …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 2, 2017 · pp. 33–36 Read article
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A Novel Analysis of Artificial Intelligence in Mechanical Engineering Application
Abstract: In this study, we have tried to explain the crucial role of Artificial Intelligence (AI) in the running of mechanical industry. The technology used these days in the machines is to aid the solution towards the real-world problems and complex situations. Many AI algorithms have been able to provide the solution to many engineering approaches. The importance of the artificial intelligence has automatized the mechanical engineering with smart machines and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 35–38 Read article
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Application of Machine Learning Techniques for Tongue Diagnosis in Ayurveda
Abstract: The analysis of tongue image is a very crucial approach in order to evaluate human health in Ayurveda medication. As a result of the modification in tongue color might counsel physical or mental disorders. Many tongue color quantification strategies for tongue diagnosis are published by many researchers in Chinese medication. However, reliable tongue color analysis algorithms are limited for Ayurveda medicine. The main objective of this paper is to apply …
Published in Journal of Advancements in Robotics · Vol. 7, Issue 1, 2020 · pp. 8–14 Read article
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Artificial Neural Network and Its Application to Diagnosis
Abstract: In this paper, we are giving an excellent idea for the designing of the standard diagnosis key diagnosis systems, which security is based on the well known number theoretic problem, i.e., elliptic curve discrete logarithm problem in multiplicative group of the finite field. But now we are moving in the revolutionary idea, “The Automatic groups G converted into the multiplicative groups G’ of the finite field Zp* of the order …
Published in Journal of Advancements in Robotics · Vol. 7, Issue 2, 2020 · pp. 15–22 Read article
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Relative Cloud Computing and its Algebraic Application in e-Diagnosis Algorithm
Abstract: The theory of cloud computing is applied to develop an e-diagnosis system in this paper. The set of real numbers and the set of patients characterized by the diseases are studied by the isomorphism. This is analyzed by the block matrix. The mapping is defined by the discrete time set. The output time is classified by the cloud space. The patient information and its representation by the block matrix over …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 2, 2020 · pp. 15–18 Read article