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456 articles for “conventional methods”
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Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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Effect of Carbonyl Iron Particle Concentration on The Printability and Stiffness of Magnetorheological Elastomer Filaments
Abstract: Magnetorheological elastomer (MRE) are increasingly valued for their field-responsive mechanical properties, making them ideal for adaptive components in automotive, aerospace, and vibration control systems. However, conventional mould-based fabrication methods limit design flexibility, produce excess material waste, and are unsuitable for complex or customized geometries caused challenges that have hindered broader industrial adoption. Although 3D printing offers a compelling alternative, research on printable MRE filaments remains limited, particularly regarding how carbonyl …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 310–317 Read article
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Role of Strontium in Structural and Dielectric characterstics of Barium Titanate
Abstract: Ba₀.₇₅Sr₀.₂₅TiO₃ (BST) compound was synthesized through the conventional solid-state reaction methodology, aimed at investigating its structural, microstructural, and dielectric characteristics. The structural characterization was executed employing X-ray diffraction (XRD), and the resultant diffraction patterns were refined utilizing the Rietveld method, which substantiated the establishment of a single-phase perovskite configuration exhibiting tetragonal symmetry and belonging to the P4mm space group. The refined lattice parameters revealed subtle distortions correlating with the substitution …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1157–1163 Read article
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AI-Based Intelligent Traffic Signal Management System: A Review
Abstract: Traffic congestion is a growing problem in urban areas worldwide, leading to economic losses, increased pollution, and commuter frustration. Traditional traffic management systems rely on fixed timing cycles and lack adaptability to real-time traffic conditions. Intelligent traffic light control systems based on artificial intelligence (AI) have become a viable substitute for traditional techniques. These systems are able to evaluate large volumes of traffic data in real time, identify patterns, and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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Bayesian Optimization–Driven Operating Parameter Tuning for Maximizing Methane Yield in Anaerobic Digestion
Abstract: To achieve maximum methane production in an anaerobic digestion (AD) process, a combination of various operational parameters must be tuned nonlinearly in the digestion ecosystem. The conventional trial and error optimization methods are slow, resource consuming, and in most instances, cannot model the intricate parameter interaction in biogas production. The current work introduces a Bayesian Optimization-based model to optimize the set of conditions to maximize the level of methane produced …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 1–8 Read article
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Examining and Analyzing the Double Helical Spiral Mixer's Effectiveness
Abstract: Recent advancements in various mixing mechanisms are being leveraged in the food industry to enhance their success by ensuring product consistency fostering the development of new products and cutting down production costs the choice of mixing equipment is influenced by the types of phases being combined such as liquid-liquid solid-liquid or solid-solid and the physical properties of the final product including viscosity and density both traditional and innovative specialty mixing …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 15–24 Read article
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Wear and Tribological Characteristics of Novel Metal Matrix Composites
Abstract: The development of advanced metal matrix composites (MMCs) with enhanced tribological performance has become increasingly important due to the premature failure of critical engineering components operating under severe wear conditions in automotive, aerospace, marine, defense, and power generation systems. Conventional composites such as Copper–Alumina and Aluminium–Silicon Carbide have demonstrated improved mechanical and wear characteristics; however, their widespread application is often limited by issues including particle agglomeration, non-uniform reinforcement distribution, porosity …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1326–1346 Read article
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Spectral Intuitionistic Fuzzy Hypergraph Operators and Dominance Kernels for Resilient Discrete Network Design
Abstract: A new discrete-mathematical framework is developed for resilient network design on intuitionistic fuzzy hypergraphs, where uncertainty is explicitly represented through membership, non-membership, and hesitation degrees associated with both vertices and hyperedges. These three components are systematically integrated into an effective incidence operator that captures the underlying uncertain relationships within complex hypergraph structures. Based on this operator, both un-normalised and normalized Laplacian matrices are formulated to characterize the spectral properties and …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 41–48 Read article
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Development of Neuromorphic Polymer Composites Using IoT Sensing and Brain-Inspired Learning Algorithms
Abstract: This research aims to develop neuromorphic polymer composites by combining conductive sensing materials, IoT-based sensing data collection and brain-inspired learning models for adaptive response. Hybrid conductive polymer composites were developed by adding carbon nanofibers and graphene Nano platelets to a thermoplastic polymer. IoT sensors (strain, temperature) were employed to collect real-time sensing data that was combined with environmental data. A material-aware neuromorphic learning algorithm was created with event-driven spike coding …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 755–784 Read article
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Performance Analysis of AES Encryption Using LFSR-Based Key Expansion in VLSI
Abstract: Secure data transmission has become increasingly important with the rapid growth of digital communication and embedded systems. Protecting sensitive information from unauthorized access requires reliable cryptographic solutions. Among the available techniques, the Advanced Encryption Standard (AES) is widely recognized for its strong security and efficient implementation in both hardware and software environments. In this work, the design and performance evaluation of an AES-based crypto processor with LFSR-driven key expansion is …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 Read article
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Emerging Photochemical Techniques in Green Chemistry
Abstract: Creating environmentally friendly and sustainable chemical processes is one of the main objectives of green chemistry. A viable strategy for accomplishing this goal is the use of light to trigger chemical reactions in emerging photochemical techniques. An overview of current developments in photochemical techniques that support green chemistry is given in this abstract. Key innovations include the use of visible light photocatalysis, which offers a sustainable alternative to traditional high-energy …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 1, Issue 2, 2023 · pp. 39–45 Read article
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The Power of Genetic Engineering in Revolutionizing Vaccines
Abstract: Genetic engineering techniques, including recombinant subunit, viral vector, and nucleic acid vaccines have transformed the landscape of vaccine development. These novel approaches offer precise antigen design, enhanced safety profiles, and rapid adaptability to emerging pathogens. Key advantages include improved efficacy through targeted immune responses, increased safety due to the absence of live pathogens, and the ability to modify vaccines to address new variants or diseases quickly. Notable success stories, such …
Published in International Journal of Vaccines · Vol. 2, Issue 1, 2025 · pp. 18–27 Read article
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Optimized Receivers for Underwater Visible Light Communication
Abstract: For uses like ocean exploration, environmental monitoring, and underwater data transfer, wireless communication under water is crucial. Conventional acoustic and radio frequency communication methods suffer from low bandwidth, high latency, and severe signal attenuation in underwater environments. With its high data rate and low propagation delay, Visible Light Communication (VLC) provides a promising alternative. In this work, an underwater VLC system is implemented using Light Emitting Diodes (LEDs) with intensity …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 1, 2026 · pp. 22–33 Read article
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Iota carrageenan, a Sustainable polymer transformed into a nanogel formulation, by using environment friendly method for antitumor action
Abstract: In the pharmaceutical field, the utilization of polymers, both in their natural form and through chemical modifications, holds immense importance. In this context, a novel and eco-friendly method for the synthesis of nano carrageenan-based polymers has been developed. The efficacy of carrageenan in this domain is attributed to its crosslinking and biological properties, which are largely influenced by its sulfate ion content. This study aims to formulate nanogels via a …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 881–889 Read article
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Simulation of Adder Circuit Using Reversible Gates in Verilog HDL
Abstract: The emerging field of quantum computing uses quantum logic gates. The reversibility of logic gates is an important aspect of quantum logic gates used in VLSI and quantum computing. Reversibility ensures that power consumption is minimized. This study explores the field of reversible logic and utilizes Peres gate to develop a full adder circuit that shows a significant reduction in power consumption in simulations performed in Xilinx Vivado. We have …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 3, 2024 · pp. 32–38 Read article
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Design and Development of a Smart Automated Packaging System for Poultry Drumsticks
Abstract: The present work aims to design and implement an automated packaging system for poultry drumsticks that enhances operational efficiency, product quality, and adaptability. The integrated system offers a solution that complies with industrial quality and safety standards by sorting products, getting accurate weighing, and efficiently portioning food into 1-kilogram standardized units. By effectively reducing human involvement, operational inefficiencies, workforce requirements, and contamination hazards, the automation system becomes sufficiently adaptable to …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 Read article
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The Technological Evolution of Conventional Engines in Transport Systems Aimed at Mitigating Atmospheric Pollutant Emissions
Abstract: The automotive sector is a major contributor to atmospheric pollution and faces increasing pressure to adopt sustainable energy alternatives. This study explores technological innovations aimed at reducing vehicle emissions, focusing on advancements in internal combustion engine efficiency and the expanding role of renewable fuels such as ethanol and biodiesel. The transition to electric vehicles is also analyzed, emphasizing benefits in emission reduction and challenges related to charging infrastructure and battery …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 22–32 Read article
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Mechanical Analysis and Advanced Manufacturing of Eco-Friendly Groundnut Shell Powder Reinforced Epoxy Composites
Abstract: Polymer composites reinforced with natural materials are gaining significant attention because of their eco-friendly nature, cost-effectiveness, and favorable mechanical properties. This research explores the creation and mechanical analysis of epoxy composites strengthened with groundnut shell powder (GSP), exploring both untreated and benzoyl chloride-treated GSP variations. The research emphasizes utilizing agricultural waste material while achieving enhanced mechanical properties through surface modification and advanced fabrication techniques. The composites were manufactured using the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 174–185 Read article
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Necessity of “Cigarette Smoking De-Addiction Kiosks” at Ayush Health and Wellness Centers – An Overview
Abstract: Introduction and Socio-Demography: Cigarette is the most common form of smoked tobacco that is used globally. About 1.3 million deaths have been reported in India associated with tobacco use. India has implemented several tobacco controls measures, and as a part of that, de-addiction centers play an important role in treating addictions using various therapies. However, the discontinuation from taking de-addiction care from those allopathic centers is high due to higher …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 2, 2025 · pp. 9–19 Read article
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Innovative Approaches to Reactive Power Management and Optimization in Modern Power systems
Abstract: Reactive power management and optimization are necessary for the effective, stable, and reliable working of modern power systems. Without proper management, reactive power is responsible for additional losses in transmission, reduced capability of power transfer, and poor voltage stability conditions, thus forming a basis for developing advanced techniques of optimization. This paper discusses the innovative methods in Reactive Power Optimization (RPO) using met heuristic algorithms, namely the Self-Balanced Differential Evolution …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 44–50 Read article