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1964 articles for “fasaad-e-takhayy’ul” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Green and Edge-Aware Computing: Rethinking Cloud Infrastructure for Sustainability
Abstract: Cloud computing has transformed the way organizations access and manage information technology resources, providing flexible, scalable, and cost-efficient services that support today’s data-driven world. Despite these advantages, the rapid expansion of large-scale cloud infrastructures has resulted in rising energy consumption, significant heat generation, and a growing environmental footprint. This research focuses on advancing green cloud computing by examining methods that reduce power usage while maintaining high performance. Key strategies include …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 17–24 Read article
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Energetic and Exergetic Investigation on Vapor Compression Refrigeration System Using Ag₂O-R134a Nanofluid as Refrigerant
Abstract: This paper experimentally explored energetic and exergetic performance investigation of VCR System using Ag₂O-R134a Nanofluid as Refrigerant. The integration of silver oxide (Ag₂O) nanoparticles within polymer and composite materials offers promising avenues for enhancing the thermal and physical properties of advanced systems. The energetic and exergetic performance study of VCR were investigated with test parameters including compressor power consumption, cooling capacity, coefficient of performance (COP), discharge temperature, irreversibility in the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 279–287 Read article
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Polymer Composite Nodes for Smart IoT Environmental Monitoring: Applying ML-Calibrated RF Sensors for Exceptionally Low-Power, Flexible, and Dependable Performance
Abstract: The quick usage of the Internet of Things (IoT) for monitoring the environment needs sensor platforms that are accurate, responsive, adaptable, energy-efficient, and able to work in many different conditions. This work presents polymer composite nodes equipped with machine learning (ML)-calibrated radio-frequency (RF) sensors that adhere to stringent criteria. Sensor substrates built of flexible polymer matrices with conductive fillers are strong, light, and flexible enough to fit on surfaces that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1205–1221 Read article
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Early Life Nutrition as a Determinant of Long-Term Vaccine Immunogenicity in Livestock: Mechanisms, Practical Strategies, and Species-Specific Considerations
Abstract: Early life represents a critical period for immune system development in livestock, during which nutritional exposures can exert long lasting effects on vaccine immunogenicity. Although vaccination is a cornerstone of infectious disease control in food producing animals, marked variability in vaccine induced immune responses is frequently observed under commercial conditions. Growing evidence suggests that this variability is partly driven by differences in early nutritional status, which can influence immune maturation, …
Published in International Journal of Vaccines · Vol. 3, Issue 1, 2026 · pp. 15–26 Read article
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Electrochemical Evaluation of Corrosion Behavior in Industrial Alloys Under Acidic and Marine Conditions
Abstract: Corrosion represents a spontaneous physicochemical transformation in which metals revert to their more stable thermodynamic state, typically oxides, hydroxides, or sulfides, as a result of interaction with environmental elements. Rather than being a simple surface reaction, corrosion is a complex electrochemical phenomenon that significantly influences the durability, reliability, and performance of metallic structures across industrial, marine, and domestic sectors. The consequences extend beyond material degradation, contributing to substantial economic losses, …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 1, 2026 · pp. 24–36 Read article
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CIPHER Intelligence: AI-Powered Global Military Expenditure Analysis and Predictive Modeling
Abstract: Military expenditure analysis has emerged as a critical component of economic and geopolitical intelligence in the modern era. This paper presents CIPHER Intelligence, a comprehensive AI-powered platform for analyzing and predicting global military spending patterns across 211 countries spanning54 years (1970-2024). We employ advanced machine learning techniques, particularly Random Forest regression models, to achieve 99.5% prediction accuracy for military expenditure forecasting based on economic indicators. The platform integrates data from …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 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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Development and Characterization of Rubber Composites using E-Waste Residue as Functional Filler
Abstract: In the present study, residue generated during the recycling of end-of-life printed circuit boards (PCBs) was utilized as a functional filler in natural rubber to fabricate eco-friendly composites using mixing and molding techniques. Chemical analysis of the residue revealed the presence of several metals, including copper, iron, lead, tin, and zinc. The presence of these metals highlights the need for proper recycling and safe management of PCB residues, as their …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 512–523 Read article
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Multi-Scale Analysis of Polymer Based Energy Storage Systems for High Performance Battery Applications
Abstract: The energy storage systems based on polymers are becoming promising materials for the next generation of high performance batteries because of their excellent mechanical flexibility, improved safety, and favorable electrochemical properties. Even with computational tools in Python, polymer-based energy storage systems remain plagued by poor ionic conductivity, complicated electrochemical reactions and potential thermal runaway. Therefore, a multi-scale model is proposed to improve battery performance, thermal stability, reliability, and large-scale deployment …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1035–1048 Read article
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Designing and Analysis of Different Types of Fins in Air Cooled Engine
Abstract: This paper is dedicated to the study of various shapes of extended surfaces, commonly known as fins, which are used on cylinder heads of internal combustion engines. Extended surfaces are used to improve heat dissipation from the object by increasing its effective surface area. Efficient heat dissipation is very important since proper cooling of an engine cylinder head helps to maintain optimal working temperatures, improves engine performance, increases service life, …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 33–79 Read article
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Therapeutic Prospects and Comparative Bioactive Evaluation of Fenugreek Seed Extracts
Abstract: A medicinal plant with substantial therapeutic potential, fenugreek (Trigonella foenum-graecum L.) is rich in bioactive phytoconstituents. The phytochemical makeup and antioxidant properties of aqueous and methanolic fenugreek seed extracts were compared in this study. Phenolics, flavonoids, terpenoids, alkaloids, tannins, and saponins were found in both extracts, with the methanolic fraction showing greater intensity, according to preliminary phytochemical screening. The methanolic extract has higher levels of phenolic, flavonoid, and terpenoid content, …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 2, 2026 Read article
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Agentic AI: Architectures, Types, Capabilities, Mathematical Equations and Governance in the Era of Autonomous Intelligence
Abstract: Agentic Artificial Intelligence (Agentic AI) represents a major advancement in the evolution of intelligent systems by enabling autonomous planning, decision-making, and action execution. Unlike traditional AI models, which are primarily reactive and designed to respond to predefined inputs, Agentic AI systems possess capabilities such as memory, reasoning, goal-oriented planning, tool integration, and dynamic adaptation to changing environments. These characteristics allow them to perform complex, multi-step tasks with minimal human intervention, …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 Read article
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Emerging Trends in Photobiology: Exploring the Photophysics and Photobiology of the Eye
Abstract: The eye consists of three main segments: the cornea, lens, and retina. The primary function of the anterior ocular tissue, the cornea and lens, is to transmit and focus light onto the retina without distortion. They also filter UV light (under 400 nm), preventing it from reaching the retina. While light reaching the retina is mostly used for vision, it can also have various effects on the eye's constituents, both …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 1, 2025 · pp. 31–37 Read article
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Resilient Shell-Based Frameworks for Edge and IoT Systems: A Comprehensive Analysis of Lightweight Automation in Distributed Environments
Abstract: Edge computing and Internet of Things (IoT) deployments require automation solutions that minimize resource use while supporting real-time processing and intermittent connectivity. This study investigates shell-based frameworks for managing distributed edge and IoT systems, with emphasis on sensor integration, live monitoring, and fault recovery. Drawing from 200 real-world deployment cases across smart city, healthcare, and industrial domains, the analysis compares shell scripting directly against containerized approaches (e.g., Docker with lightweight …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 01–07 Read article
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Eco-friendly Azadirachta Indica Ash and Miscanthus Fiber Brick for Carbon Neutrality Environment
Abstract: Naturally grown fiber are not utilized properly they are neglected as wastes. These resources are thrown away due to insufficient research being conducted to discover viable uses for naturally existing fibres. These byproducts have a wide variety of applications in the manufacturing sector, notably in the construction sector. The prospective applications of miscanthus fibre, which may be found growing wild in uncultivated places, are investigated in this research. The production …
Published in Journal of Polymer & Composites Read article
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Simulation of Electric Vehicles DC Engine Performance
Abstract: This works develops a simulation model to predict the performance of direct current electric motors for electric vehicles (EV), mainly focused on the required power and mechanical torque as a function of the driving conditions. The simulation, therefore, has been based on the dynamic conditions of the electric vehicle to reproduce the current driving in urban routes or intercity travels. The model has been applied to synchronous and asynchronous transmission …
Published in Journal of Automobile Engineering and Applications Read article
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Effect of Thickness of Absorber Layer on the Enhancement of Efficiency, and Performance of CH3NH3SnI3 based Perovskite Solar Cell using SCAPS-1D
Abstract: The present research article deals with the improvement of efficiency, and performance of tin based perovskite solar cells (PSCs) using SCAPS-1D software. SCAPS-1D has been used for investigating the absorber layer of the inverted p-i-n arrangement of tin based perovskite solar cells. The inverted p-i-n solar cell arrangement are Glass/ITO/NiO/CH3NH3SnI3/ PCBM/AL where ITO, NiO, CH3NH3SnI3, PCBM and Al are transparent conducting oxide, hole transporting layer (HTL), absorber layer and electron …
Published in Journal of Nanoscience, NanoEngineering & Applications Read article
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Procedure for Conventional Facial Emotion Detection Algorithms Based on Machine Learning
Abstract: Researchers in psychology, computer science, linguistics, neurology, and allied fields have become more interested in a human-computer interface system for autonomous face recognition or facial expression recognition. This study has recommended an Automatic Facial Expression Recognition System (AFERS). The proposed methodology consists of face detection, feature extraction, and facial expression identification processes. The initial phases of the face detection procedure include skin color identification using the YCbCr color model, illumination …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 07–13 Read article
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A Pilot Study on β-lactamase Producing Escherichia coli from Bovine Milk, West Bengal
Abstract: Drug resistant bacteria have become a significant global healthcare issue that requires close attention. With regards to antibiotic resistance, E.coli and its Enterobacteriaceae family are highly notorious for their ability to swiftly spread antibiotic resistance genes, thereby posing a major concern. In order to effectively address the spread of multi drug resistant bacteria, ongoing monitoring of the microflora in milk for the presence of drug resistant genes is essential. This …
Published in International Journal of Toxins and Toxics · Vol. 1, Issue 1, 2024 · pp. 01–05 Read article
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A Trends in Dietary Supplement Related to Exercise Nutrition
Abstract: A product made to address physiological or nutritional demands that might occur during sports activity is called a dietary supplement. It could offer a convenient method for fulfilling specific nutritional needs during exercise, or it could be utilized to prevent or address common nutritional deficiencies experienced by athletes. It is crucial to include the supplement in a thorough plan for the best possible sports nutrition or clinical care of nutritional …
Published in International Journal of Nutritions · Vol. 1, Issue 2, 2024 · pp. 1–6 Read article