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1057 articles for “parameters”
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LoRa and LoRaWAN in the IoT: Performance, Challenges, and Future Opportunities
Abstract: This paper provides a broad overview of both LoRa and LoRaWAN technologies in the context of Internet of Things (IoT). The market need for communication technology to be low-power and long-range continues to grow, and LoRa and LoRaWAN are emerging as viable options for enabling widespread IoT applications in a variety of applications. This review offers structured and comparative assessment of their functionality in different environments, such as urban, rural, …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 2, 2026 Read article
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Comparative Cooling Analysis of EV Battery Packs using MATLAB Simscape
Abstract: Since electric vehicles (EVs) transition to high- voltage systems to enable quicker charging and enhanced delivery of power, the high heat emitted during rapid discharge is a significant challenge. This paper presents a direct comparative study of passive air cooling and active liquid cooling of a lithium-ion battery pack. Due to the high cost of constructing the physical prototypes, we created a computationally efficient and hierarchical virtual prototype in MATLAB …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
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AquaSential: Autonomous UAV-Based Water Quality Monitoring System
Abstract: The increasing occurrence of waterborne health risks and the presence of harmful microorganisms in freshwater environments highlight the need for rapid and continuous water quality monitoring. Traditional laboratory-based testing methods often require significant time and manual sampling, limiting their ability to provide immediate information about changing environmental conditions. This work presents AquaSential, a low-cost, portable, and UAV-ready water quality monitoring system designed for real-time assessment of freshwater bodies. The proposed …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Harnessing Marine Byproducts and Optimization of Biopolymer Extraction Quality Using Response Surface Methodology and Study of Its Physicochemical Properties
Abstract: Chitosan, a versatile biopolymer derived from chitin, holds immense potential across various industries owing to its antimicrobial, antioxidant, and biocompatible properties. This study aims to optimize the deacetylation process of chitin, sourced from shrimp shells, using Response Surface Methodology (RSM) to produce high-quality chitosan. The Box-Behnken Design (BBD) was employed to evaluate the effects of temperature, time, and alkali concentration on the degree of deacetylation (DD%), a key determinant of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 125–139 Read article
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Analyzing The Mechanisms of Polymerization and The Related Kinetic Pathways Using Refined Analytical Methods.
Abstract: In numerous sectors, polymeric materials play a crucial role, yet effectiveness is largely determined by their molecular structure and the processing parameters utilized. This investigation presents an integrative approach aimed at delineating the connections between polymer structure, properties, and processing through sophisticated characterization methods. With the implementation of small angle X Ray Scattering (SAXS),NMR(Nuclear magnetic resonance( spectroscopy) FM(Atomic Force Microscopy) and rheological analysis, we analyze the complex interplay between molecular …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 86–94 Read article
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Smile Perfection with Veneers: Current Concepts and Techniques
Abstract: Veneers represent one of the most remarkable developments in dentistry over the last 25 years. The breakthrough that porcelain could be bonded to composite materials and subsequently to the tooth surface has transformed aesthetic dental treatment. Veneers not only improve facial aesthetics but also enhance self-esteem, positively influence personal interactions, and can even play a role in professional advancement. These restorations offer excellent cosmetic outcomes while maintaining a significant portion …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 2, 2025 · pp. 12–18 Read article
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Comparative Investigation on Mechanical Properties of AMCs Fabricated through Liquid and Solid-State Fabrication Process
Abstract: This current research work is primarily focused on comparative experimental study on effect of two distinct fabrication process routes i.e. liquid state and solid state process and their corresponding parameters on microstructure and micro-hardness properties of Aluminium matrix composites (AMCs). In this work, AMCs were fabricated by reinforcing Al2O3 powder materials of 5, 10 and 15 wt.% into pure Aluminum (Al) matrix phase through two distinct processes; liquid state (stir …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 202–215 Read article
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Mechanical Characterization of Green Composite Brake Pads Reinforced with Coconut Shell Waste
Abstract: In the present work, coconut shell powder proposed as a replacement material for the eco-friendly brake linings. The composites for brake pad were developed with other sizes of the coconut shell particles, namely (200 µm, 300 µm, 400 µm and 500 µm) The developed samples were evaluated for morphological, mechanical, physical and worability properties. The SEM micrograph proved that the coconut shell particulates are well dispersed in the composite everywhere …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1636–1648 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Graphene Based Electronic Skin for Wearable Health Monitoring and Human– review on Machine Interaction, Materials, Structures and AI Integration
Abstract: Graphene-based electronic skin (e-skin) has emerged as a transformative technology for next-generation wearable health monitoring and advanced human–machine interaction (HMI). Owing to its outstanding electrical conductivity, mechanical flexibility, atomic-scale thickness, and biocompatibility, graphene enables the fabrication of ultrathin, conformal, and multifunctional sensors capable of mimicking the sensory functions of natural human skin. Over the past decade, research in this domain has progressed rapidly across four interconnected fronts: material synthesis and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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DEVELOPMENT OF POLYMERSOMES AS MACROMOLECULAR PLATFORMS FOR NANOMEDICINE
Abstract: The conventional method of drug delivery is plagued with instability, low targeting and low bioavailability. A solution to these shortcomings is the use of polymer Somes, artificial vesicles that are produced through self-assembly of amphiphilic block copolymer, and they are suggested as universal nanoscale carriers. They have stiff, tunable membranes (thickness = 2-50 nm) due to accurate control of polymer chemistry, chain length, and hydrophilic mass fraction (f), which allows …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Development and Performance Evaluation of a Multi-Purpose Power Tiller for Small-Scale Farming Applications
Abstract: This project outlines the development and testing of a multi-purpose power tiller tailored for small-scale farmers. Designed to reduce labor and enhance productivity, the machine integrates features for ploughing, seedbed preparation, and lightweight transportation. Key parameters including depth of tillage, working width, and fuel consumption were evaluated during field trials and benchmarked against manual operations. Results highlight its efficiency and potential for improving rural agricultural practices. Along with its primary …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 2, 2026 Read article
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Machine Learning-Based Channel Estimation in 5G, Beyond-5G, and 6G Networks: Recent Advances and Future Directions
Abstract: Accurate channel estimation is one of the most fundamental challenges in modern wireless communication systems. In fifth- generation (5G) New Radio (NR) and emerging sixth-generation (6G) networks, precise knowledge of the wireless channel is essential for achieving reliable data transmission, high spectral efficiency, and low Bit Error Rate (BER). Conventional estimation techniques such as Least Squares (LS) and Minimum Mean Square Error (MMSE) rely on mathematical channel models and predefined …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Application of Artificial Neural Networks in Optimizing Polyhouse Roof Truss Design
Abstract: Polyhouses are specialised agricultural structures developed to maintain controlled environmental conditions for crop cultivation, thereby ensuring consistent productivity even under adverse climatic circumstances. The performance of these systems largely relies on the structural stability and cost efficiency of the roof truss, which must achieve an effective balance between strength, adaptability, and economy. In this research, an Artificial Neural Network (ANN)-based modelling framework is introduced to optimise the members of polyhouse …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 15–25 Read article
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Solid-State Reactions: Mechanistic Insights, Kinetic Behavior and Emerging Applications in Advanced Materials
Abstract: Solid-state reactions are fundamental to the synthesis and transformation of inorganic materials, playing a crucial role in the development of ceramics, semiconductors, catalysts, and energy storage systems. Unlike reactions in liquid or gaseous phases, they are limited by restricted atomic mobility and typically require elevated temperatures to enhance diffusion and overcome activation energy barriers. These reactions proceed through interfacial contact between solid reactants, followed by nucleation of product phases and …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 1, 2026 · pp. 10–14 Read article
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Investigation of Robotic Transverse Twin-Wire GMAW for Large-Scale Wire-Arc Additive Manufacturing Applications
Abstract: Bulk metal additive manufacturing using wire-arc processes has gained significant attention for fabricating large-scale engineering components due to their high deposition rate and material efficiency. In this study, the feasibility and performance of robotic transverse twin-wire gas metal arc welding (GMAW) for bulk wire-arc additive manufacturing (WAAM) is systematically assessed. The research focuses on understanding arc stability, weld bead characteristics, and process–product relationships under high-deposition conditions. Welding current signals from …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 4, Issue 1, 2026 · pp. 36–50 Read article
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Deep Reinforcement Learning-Based Intelligent Energy Management Strategy for Battery–Supercapacitor Hybrid Energy Storage Systems in Electric Vehicles
Abstract: As the number of EVs increases, smart solutions for energy management are needed that will optimize energy use, prolong battery life and boost vehicle performance. The application of conventional rule based and optimization-based Energy Management Strategies (EMS) for Battery–Supercapacitor Hybrid Energy Storage Systems (HESS) often leads to sub-optimal power management, supercapacitor mismatch and battery degradation when subjected to varying driving conditions. This study aims to design an intelligent energy management …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article