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1960 articles for “Ma-ul-Shae’er” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Enhanced Sustainable Concrete Mix Design Using LLMs and Advanced Machine Learning Techniques
Abstract: Large Language Models (LLMs) are emerging as transformative tools in materials science, offering human-like reasoning, zero-shot problem solving, and the ability to integrate fuzzy laboratory knowledge with structured data. This study extends and reinterprets the original systematic benchmark for using LLMs in sustainable concrete design, particularly for Alkali-Activated Concrete (AAC). We introduce an enhanced, multi-model framework combining LLM-based inverse design, Random Forest regression, Gaussian Process Regression (GPR), and a lightweight …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Machine Learning Assisted Timing Violation Prediction in Sub-7nm VLSI Physical Design
Abstract: The continuous scaling of semiconductor technology into the sub-7nm regime has introduced significant challenges in timing closure due to process variability, interconnect delay, power density, and manufacturing uncertainties. Conventional static timing analysis techniques often require extensive computational resources and iterative optimization cycles, resulting in increased design complexity and longer turnaround time. This research proposes a Machine Learning Assisted Timing Violation Prediction framework for sub-7nm VLSI physical design to improve early-stage …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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IoT-Based Battery Health Monitoring for Electric Vehicles Using Machine Learning
Abstract: With increasing utilization of the Electric Vehicles (EV)s in global scale, battery health management becomes a critical factor which has great impact on vehicle performance, safety and longevity. Battery materials, such as NMC LFP lithium-ion batteries and lithium-ion batteries, degrade over time from charging behaviour, heat stress, discharging voltage profiles and environmental limits. Conventional BMS only offer threshold based health diagnostics and cannot perform accurate degradation prediction. This work presents …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 Read article
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Smart Biopolymer–PCM Composite Modules with Embedded Wireless Thermal Sensing for Autonomous Energy Storage Applications
Abstract: The development of multifunctional polymer composite systems for intelligent thermal energy storage has gained significant attention due to the increasing demand for sustainable and autonomous thermal management technologies. In the present study, a wireless-integrated biopolymer–phase change material (PCM) composite module embedded with thermal feedback sensors was successfully fabricated and experimentally investigated for advanced thermal energy storage applications. Polylactic acid (PLA) was employed as the biodegradable polymer matrix, while paraffin wax …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 193–205 Read article
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Gravitational Waves: Heralding a Transformative and Unprecedented Era in Astrophysical Observation and Exploration
Abstract: Gravitational waves, first theorized by Einstein’s General Theory of Relativity in 1916, are disturbances in spacetime caused by the acceleration of massive objects. Their first direct observation in 2015 by the Laser Interferometer Gravitational-Wave Observatory (LIGO) marked a groundbreaking achievement in astrophysics and created a new way to explore the universe. This review paper provides a comprehensive overview of gravitational waves, including their theoretical foundation, sources, detection techniques, and implications …
Published in International Journal of Universe · Vol. 2, Issue 1, 2026 · pp. 16–22 Read article
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Polymeric Emulsion Composite System Enriched with Eggshell-Derived Biominerals for Dermal Delivery
Abstract: This study describes the development and characterization of a sustainable polymeric water-in-oil (W/O) emulsion composite designed for dermal delivery and skin repair applications. The formulation was prepared using a lipid-rich biopolymeric matrix containing glyceryl stearate, beeswax, and plant-derived ingredients, which acted as the continuous phase for stabilizing and dispersing inorganic mineral fillers. Eggshell waste was utilized as a natural calcium source and combined with magnesium and zinc oxide to create …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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A Review on Hybrid Inorganic–Polymer Analog Nanocomposites Incorporating Pozzolanic Wastes and nano-Additives
Abstract: The recent progress of polymer matrix nanocomposites (PMNCs) reveals that the performance of matrix and filler is at the core of matrix–filler interaction, interfacial bonding, and well-controlled distribution of nanoscale reinforcements. Applying these concepts, we consider inorganic particulate systems as hybrid nanocomposites, in which a discontinuous inorganic matrix is effectively reinforced via synergistic co-incorporation of pozzolanic wastes and nano-additives. In the composite system described above, silica-, alumina-rich pozzolanic materials serve …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 131–141 Read article
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Chlorophyll-Mimicking Ti₃C₂Tₓ MXene-Conjugated Polymer Nanocomposites: Nature-Inspired Exciton Funneling Architecture for Ultrahigh Photon-to-Electron Conversion in Organic Solar Cells
Abstract: Green plant photosynthetic machinery is one of the most efficient natural systems for harvesting solar energy and converting it into useable electronic charge. Specifically, chlorophyll molecules in the Light-Harvesting Complex II (LHC-II) achieve nearly unity quantum yield via a well-organized Förster Resonance Energy Transfer (FRET) mechanism that enables excitons to migrate towards reaction centers. This study presents a bio-inspired nanocomposite architecture using two-dimensional Ti₃C₂Tₓ MXene nanosheets functionalized with chlorophyll-mimicking porphyrin …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 114–130 Read article
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An Overview on Energy Harvesting Using Piezoelectric Material for Wi-Fi Systems
Abstract: The rapid proliferation of wireless-networked devices has intensified the demand for sustainable, maintenance-free power sources that can keep small-scale Wi-Fi modules operational in hard-to-reach or infrastructure-limited environments. This study investigates the feasibility of harvesting ambient mechanical energy using piezoelectric transduction technology and directly feeding the harvested power to a low-power Wi-Fi communication subsystem. A compact energy-harvesting module was engineered from lead-zirconate-titanate (PZT) cantilevers with resonant frequencies tuned to the dominant …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 56–63 Read article
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Molecular Surveillance of Spring Viraemia of Carp Virus (SVCV) and Koi Herpesvirus (KHV) Across Major Aquaculture Zones of Telangana, India
Abstract: Viral diseases represent a persistent threat to cyprinid aquaculture; however, region-specific surveillance data from tropical production systems remain limited. To address this gap, a comprehensive statewide active surveillance programme was undertaken across Telangana, India, from 2019 to 2022 to investigate the occurrence of two priority transboundary pathogens, Spring Viraemia of Carp Virus (SVCV) and Koi Herpesvirus (KHV). A total of 414 fish specimens were systematically collected from five surveillance sectors …
Published in International Journal of Virus Studies · Vol. 3, Issue 2, 2026 Read article
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SMART HOSPITAL MANAGEMENT SYSTEM:USING CLOUD, IOT & WEB DEVELOPMENT
Abstract: The Smart Hospital Management System (SHMS) leverages cloud computing, Internet of Things (IoT) technologies, and web development to address the inefficiencies in healthcare management, particularly in the context of the COVID-19 pandemic. With India’s doctor-to-patient ratio below WHO standards, there is a need for innovative solutions to enhance patient care and hospital resource management. This system integrates SpO2, temperature, and ECG sensors with the Raspberry Pi, enabling continuous and real-time …
Published in Journal of Telecommunication, Switching Systems and Networks Read article
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Electro-chemical treatment of graphite oxide: preparation and Characterization of high quality Graphene material
Abstract: With the enlargement of flexibility and suitability in material industries, high-performance thermal management materials are demanded with high thermal conductivity and electrical insulation are growing. In recent years, graphene has received a numerous focus from science community due to its high thermal conductivity and electrical insulation. Fabrication of light weight graphene and its derivatives as graphene Oxide (GO) and reduced graphene oxide (rGO) via facile processing method is yet a …
Published in Journal of Polymer & Composites Read article
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Electro-chemical treatment of graphite oxide: preparation and Characterization of high quality Graphene material
Abstract: With the enlargement of flexibility and suitability in material industries, high-performance thermal management materials are demanded with high thermal conductivity and electrical insulation are growing. In recent years, graphene has received a numerous focus from science community due to its high thermal conductivity and electrical insulation. Fabrication of light weight graphene and its derivatives as graphene Oxide (GO) and reduced graphene oxide (rGO) via facile processing method is yet a …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 25–36 Read article
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Record Linkage in Knowledge Discovery Process Using Angle Based Machine Learning
Abstract: Record linkage is a critical data cleansing step in the knowledge discovery process, aimed at identifying and resolving inconsistencies across datasets. This study proposes an enhanced record linkage framework tailored for uncertain and large-scale data using a combination of distance measurement, probabilistic modeling, and semantic reasoning. A novel angle-based distance measurement technique is introduced to optimize matching between candidate records. To further boost match accuracy, a Finite Mixture Model (FMM) …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1157–1170 Read article
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 Read article
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Additive Manufacturing of Polymer-Based Advanced Composites: Mechanical Properties and Performance Evaluation
Abstract: Fabrication of large-scale and geometrically complex polymer-based advanced composites via fused deposition modelling (FDM) has been shown to be a promising technology for the production of such materials, however there are challenges in using short carbon fibre-reinforced polylactic acid (CF-PLA) which include obtaining high mechanical performance and maintaining dimensional accuracy with dynamic robot motion and complex interactions occurring between process parameters. The conventional approaches are mostly static feed rates or …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1326–1335 Read article
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Maternal and Infant Pollutant Exposure through Breastfeeding in Industrial Punjab
Abstract: Because of their lasting presence, bioaccumulation in the food chain and/or potential for transferring to infants through breastfeeding, environmentally persistent chemical pollutants, such as per- and polyfluoroalkyl compounds (PFAs), pesticides, heavy metals and industrial emissions, represent significant public health threats. A study was conducted using a structured questionnaire to gather information about maternal demographics (age, education, marital status), how mothers were exposed to environmental contaminants through occupational activities, the ways …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 2, 2026 Read article
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Ultrasonic Dispersion of Halloysite Nanotubes for Enhanced Mechanical, Thermal, and Morphological Performance of Epoxy Composites
Abstract: Halloysite nanotube (HNT)-reinforced epoxy nanocomposites were prepared by mixing HNT with bisphenol-A epoxy (LY 556) using ultrasonication, followed by compression molding. HNT contents of 0–5 wt.% were used. The composites were evaluated for tensile strength, flexural strength, Shore D hardness, Izod impact strength, and thermal stability using thermogravimetric analysis (TGA). The fractured tensile surfaces were also examined to understand the failure mechanism and interaction between HNT and the epoxy matrix. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 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
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The Indigenous Medicinal Practices of Korku Tribe of Amravati, Maharashtra
Abstract: Korku Tribe is one of the poorer and most deprived tribal group in India mostly residing in Maharashtra and Madhya Pradesh region. The Korku tribe resides majorly in the Melghat region of Maharashtra which is very much famous for the backwardness in development. The lower socio-economic status has impacted them very badly as most of these tribes are malnourished and the cases of child mortality is very common. The Korku …
Published in Research & Reviews : Journal of Herbal Science Read article