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1778 articles for “Assessment”
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Influence of ZycoTherm Dosage on Polymer Modified Bitumen and Marshall Performance of Hydrated Lime Incorporated Warm Mix Bituminous Concrete
Abstract: This study examines the effect of ZycoTherm on PMB 76-10 binder characteristics and the performance of PMB-based Bituminous Concrete (BC) Grade-II prepared at reduced mixing temperatures, with and without hydrated lime. PMB 76-10 was modified with ZycoTherm at dosages of 0.05%, 0.10%, 0.15%, and 0.20% by weight of binder and evaluated using conventional and residue-based tests. Increasing ZycoTherm dosage decreased penetration, while softening point, flash point, and elastic recovery increased, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 256–267 Read article
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Structure–Property Modeling of Cement-Based Multi-Component Composites Using Ensemble Machine Learning and Explainable Feature Attribution
Abstract: Accurate prediction of compressive strength is central to structure–property optimization, quality control, and sustainability-driven design in cement-based composite materials. Cementitious systems represent heterogeneous multi-phase composites composed of reactive binder matrices and dispersed aggregate phases, whose macroscopic mechanical performance emerges from complex nonlinear interactions among constituents and curing-dependent microstructural evolution. This study develops a data-driven structure–property modeling framework to quantify the nonlinear dependence of compressive strength on multi-component composite composition and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 112–131 Read article
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Green Finance and India’s Climate Commitments: Aligning Financial Systems with Sustainable Development Goals
Abstract: India’s commitment to addressing climate change, as reflected in its Nationally Determined Contributions (NDCs), net-zero ambitions, and alignment with the United Nations Sustainable Development Goals (SDGs), has placed green finance at the center of the country’s sustainable development agenda. Green finance involves directing capital and investment flows toward projects and initiatives that are environmentally sustainable. It supports efforts to reduce climate-related risks, enhance resilience to environmental changes, and promote economic …
Published in International Journal of Sustainability · Vol. 3, Issue 1, 2026 · pp. 49–54 Read article
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A study on Green Hydrogen in Power Sector
Abstract: In the global shift to a sustainable and decarbonized power sector, green hydrogen produced by electrolyzing water using renewable energy sources like solar, wind, and hydropower has become a crucial option. As nations intensify efforts to meet climate targets and reduce reliance on fossil fuels, green hydrogen offers a versatile energy carrier capable of addressing key challenges including energy storage, grid balancing, and deep decarbonization of hard-to-abate sectors. This paper …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 14–21 Read article
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Automated Microstructure Classification with Class-Specific Segmentation for Titanium Based Composite Materials
Abstract: In engineering, characterisation of microstructure is required to determine and forecast behaviour of titanium alloys. Our proposal in this work has been a deep-learning-based framework in the automatic classification and segmentation of Titanium Based Composite Material. The framework then uses EfficientNetB0 backbone, where we have chosen the backbone to scale the performance of classification and the computational efficiency with the assistance of the transfer learning and the compound scaling. In …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 424–433 Read article
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Comparative Analysis of the Structural Integrity and Dimensional Stability of Additively Manufactured Biopolymers vs. Thermoformed PETG: A 1-Year Retrospective Study on Polymer Performance in Orthodontic Applications
Abstract: Objective: This study aimed to evaluate the long-term dimensional accuracy and structural performance of direct 3D-printed biopolymers compared to conventional vacuum-formed Polyethylene Terephthalate Glycol (PETG) composites. The investigation focused on how different polymer processing methods (additive manufacturing vs. thermoforming) influence material thinning and resistance to occlusal stress. Methods: A retrospective analysis was conducted on 60 cases (n = 60) of post-orthodontic maintenance. The sample was divided into two cohorts: Group …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 140–146 Read article
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Machine Learning in Nuclear Medical Applications: A Review of Research Frontiers
Abstract: Nuclear medicine, encompassing PET, SPECT, and targeted radionuclide therapy, generates high-dimensional, quantitative data uniquely suited for machine learning (ML) analysis. This review synthesizes current research applications of ML across six key domains. Positron emission tomography (PET), single-photon emission computed tomography (SPECT), and targeted radionuclide therapy are examples of nuclear medicine modalities that generate high- dimensional, quantitative datasets that are particularly well-suited for machine learning (ML)-driven analysis. These imaging methods provide …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 19–24 Read article
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Enhancement of Mechanical and Tribological Properties of Aluminum-Titanium Carbide (Al-TiC) Metal Matrix Composites via Powder Metallurgy
Abstract: Metal matrix composites (MMCs) have emerged as a result of the increasing need for sophisticated lightweight materials with exceptional mechanical and tribological qualities. For structural and wear-critical applications, aluminum-based composites supplemented with ceramic particles such as titanium carbide (TiC) have shown great promise. In this work, aluminum-TiC composites made by powder metallurgy a process that guarantees even particle dispersion, regulated porosity, and the creation of near-net shapes are fabricated, mechanically …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 366–374 Read article
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Machine Learning Assisted Design and Analysis of Polymer Composite Materials for Sustainable Renewable Energy Systems
Abstract: Accurate prediction and optimization of polymer composite properties is of paramount importance in the design of these lightweight, durable, and sustainable materials within renewable energy technologies. This work will provide a holistic machine learning-assisted framework that unites materials informatics with domain-specific features and state-of-the-art ML methodologies in the prediction of the mechanical properties of polymer composites, such as tensile strength. This includes embedding several ensemble models, including Random Forest and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 391–402 Read article
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Polymer-Based Acoustic Composite Materials for Urban Noise Mitigation: Design, Performance and Legal Integration
Abstract: This study explores the development and use of polymer-based acoustic composite materials for effective urban noise mitigation, wherein the performance of the materials is linked to legal compliance frameworks. Rapid urbanization has intensified noise pollution from transportation, industrial activity, and construction, posing a serious threat to public health and environmental quality. Although regulatory standards exist, their implementation is often limited due to inadequate technical interventions. This research focuses on advanced …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 403–412 Read article
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A Hybrid model of ResNet50 integrated U-Net for image Denoising for Polymer and Composite Microstructure Analysis
Abstract: In digital era a high-quality imaging plays a very important role in polymer and composite material characterization features such as fiber-matrix interfaces, voids, microcracks cause problems in mechanical and functional properties. Polymer imaging includes optical microscopy and scanning electron microscopy, due to sensor limitation, environmental conditions add noise to the image and reduce quality of image. The noise degrades image quality, and it leads to reduce reliability in material analysis. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 592–602 Read article
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Enhancement in Biomedical Polymer Nanocomposites: Biocompatibility and Mechanical Property Predictions using Machine Learning
Abstract: A machine learning (ML)-based framework is developed and validated through experimental analysis and comparative modeling to enhance system dependability and improve prediction performance. The proposed framework includes key stages such as data preprocessing, feature evaluation, model training, and performance benchmarking to determine the most effective prediction technique. Several machine learning models were evaluated, including Ensemble models, Artificial Neural Networks (ANN), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 275–296 Read article
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Ayurvedic Management of Vātadhika Vātarakta – A Case Series
Abstract: Vātarakta is a classical disorder described in Ayurveda that arises due to the simultaneous vitiation of Vāta and Rakta, resulting in a pathological condition characterized by mutual obstruction (Āvaraṇa) between these two factors. This complex interaction between Vāta and Rakta leads to a wide spectrum of clinical manifestations, making the condition challenging to diagnose and manage effectively. Among the four types of Vātarakta described in classical texts, Vātādhika Vātarakta predominantly …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 Read article
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Spintronic Logic Device Modeling and Energy Optimization for Beyond-CMOS Computing Systems
Abstract: The continuous scaling limitations of conventional CMOS technology have accelerated the exploration of alternative computing paradigms for next-generation low-power and high-performance systems. Spintronic logic devices have emerged as a promising solution due to their non-volatility, ultra-low switching energy, high integration density, and compatibility with beyond-CMOS architectures. This research presents a comprehensive modeling and energy optimization framework for spintronic logic devices applied in beyond- CMOS computing systems. The proposed work investigates …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Automatic Flame Detection and Tracking
Abstract: Recent advancements in independent robotics, embedded systems, and intelligent perception have appreciably improved the capability of firefighting robots designed for early fire detection, flame localization, and suppression. A broad range of studies explores vision-based and sensor-fusion techniques designed for reliable flame discovery in complex environments. Image-processing approaches—including adaptive edge-detection, infrared/thermal imaging, color-space analysis, and profound learning—are extensively implement to enhance real-time fire gratitude, even in the presence of smoke or …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 6–12 Read article
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Collaborative Robotics and Smart Automation: Enhancing Human–Robot Synergy in Industry 5.0
Abstract: Industry 5.0 marks a paradigm shift from efficiency-centric automation to a human-centred, sustainable, and collaborative production environment . In this context, collaborative robots, commonly referred to as cobots, play a central role by enabling direct and safe interaction between humans and machines within shared workspaces. These systems are designed to support human operators by undertaking repetitive, precision-intensive, and physically demanding tasks, thereby allowing humans to focus on supervisory control, problem-solving, …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 22–29 Read article
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A Clinical Insight Into Management of Left Sided Hydrocele through Homoeopathy: A Case Report
Abstract: Hydrocele is a common condition in pediatric age groups, characterized by the accumulation of serous fluid within the tunica vaginalis surrounding the testis. While many cases resolve spontaneously within the first one to two years of life, persistent hydrocele beyond this period is generally managed surgically. The present case highlights the role of individualized homoeopathic treatment as a conservative approach in such conditions. A 2-year-old male child presented with left-sided …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2026 · pp. 1–11 Read article
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IoT-Enabled Self-Monitoring Polymer Composites for Solar Facade Systems with Cloud-Based Thermal Analytics
Abstract: The increasing demand for intelligent and energy-efficient building systems has hastened the production of smart solar facade systems. This paper presents an IoT-based self-monitoring polymer composite system, which includes thermal analytics running on the cloud to provide real-time assessments of the performance of the facade. The artificial composite panel has sensing capability built in which the material is able to measure both surface and internal thermal behavior simultaneously in dynamic …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 657–681 Read article
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Time Multiplexed Binary Offset Carrier (TMBOC) Transmitter with Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR)
Abstract: This paper provides insights into Time Multiplexed Binary Offset Carrier (TMBOC), a modulation technique employed in satellite navigation systems, specifically designed for GPS L1C. TMBOC improves signal correlation properties by time-multiplexing Binary Offset Carrier (BOC) (1, 1) and (6, 1). The text discusses various TMBOC models, including spectral representations and power distributions. Performance analysis reveals the potential of TMBOC signals in achieving superior tracking accuracy and interference resistance compared to …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 34–49 Read article
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Modelling -Based Evaluation of Hybrid Natural Synthetic Fiber Polymer Composites for Sustainable Energy Applications
Abstract: The growing need of lightweight, high-performance, and green energy system materials has increased the research on hybrid polymer composites. This paper gives a modelling-based evaluation of polymer matrix composites which are reinforced using natural fibers like jute, sisal, bamboo in a combination with synthetic glass fibers to be used in sustainable energy sources. An analytical model has been used to assess the effect of hybrid fiber composition on mechanical, thermal, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 682–688 Read article