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514 articles for “size”
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Predictive Analytics and Adaptive Learning: A Machine Learning Framework for Reducing Learning Gaps
Abstract: Most contemporary digital learning environments encounter persistent challenges when it comes to accurately identifying students who are at-risk of academic underperformance. These challenges often arise due to limited visibility in learners’ engagement levels and gaps in conceptual understanding, particularly during the early stages of a course. To address this issue, the present study proposes an early prediction framework that leverages comprehensive student-related data through the application of machine learning techniques. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 16–21 Read article
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Monitoring The Hydrocarbon Utilizing Bacteria in Crude Oil Remediation Using Bio-Stimulant of Mint Leaf (Mentha Piperita)
Abstract: Conceptual monitoring of hydrocarbon utilization bacteria on crude oil remediation using bio-stimulant of mint leaf (Mentha piperita) was investigated. The bio-stimulant nutrient was determined by considering the available nitrogen, phosphorus, potassium, and hydrocarbon utilizing bacteria presence in both room and sun-dried samples of the remediant used. The mint leaf (Mentha piperita) was processed to obtain the powder form (nano particle size) of the bio-stimulant and the microbes isolated and identified …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 34–39 Read article
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Corrosion Testing and Evaluation of Inhibitors Performance
Abstract: Choosing test methods that will analyze specific needs, like film barrier strength that real field settings is essential for the proper evaluation and development of inhibitors. The flowing loop and the bubble test are two examples of the first and second, respectively. Corrosion is measured by gravimetric, electrical noise, alternating-current impedance, potentiodynamic measurement, linear polarization and gravimetric. The inhibitors action can be analyzed in different corrosive environments. Their performance is …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 82–88 Read article
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The Importance of Self-Care for Healthcare Professionals in North India: A Regional Analysis of Burnout, Resilience and Institutional Support
Abstract: Background: Burnout in healthcare professionals is described using the framework of Occupational Health and Resilience Theory, where self-care is an individual-level coping mechanism and institutional support is an organizational-level moderator. However, there is a lack of regional data from North India on the structural and contextual factors influencing burnout. Healthcare workers (HCWs) in North India face mounting pressures due to high patient loads, limited mental health resources, and overlapping professional …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 24–29 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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House Price Estimation Using Linear Regression: A Machine Learning Perspective
Abstract: House price prediction plays a crucial role in the real estate industry, helping buyers, sellers, and investors make well-informed decisions. Accurate estimation of property values enables stakeholders to assess market trends, plan investments, and minimize financial risks. This study focuses on the application of linear regression, a fundamental and widely used machine learning algorithm, to predict house prices based on multiple influencing factors. These factors include location, property size, number …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 Read article
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Simple CRM Ticketing Tool
Abstract: The objective of this project is to design and develop a simple customer relationship management (CRM) ticketing tool specifically aimed at small and medium-sized businesses (SMBs) to help streamline customer support operations. The system enables users to raise support tickets for issues, queries, or service requests, which can then be tracked and managed by the support team. Administrators or support staff can assign tickets, update statuses, such as open, in …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 1–9 Read article
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E-Commerce Clothing Platform with Virtual Try-On
Abstract: The inability to physically evaluate garments remains a major limitation in online clothing commerce. Customers often depend on static product images and generalized sizing charts, which do not accurately represent individual body proportions. This frequently leads to uncertainty during purchase decisions and increased product return rates. To address this limitation, this research proposes a web-based clothing e-commerce platform integrated with an intelligent virtual try-on mechanism. The system allows users to …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 17–24 Read article
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Crop Disease Prediction Using Image Processing
Abstract: For any country in the world, its livelihood depends on agriculture. However, crop diseases affect the production and food supply of any country because we are unable to detect crop diseases. This paper presents a machine learning CNN (convolutional neural network) model, which uses images of crops to detect diseases. This model detects the diseases in the early stage and provides us with a solution to the crop diseases. It …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 9–16 Read article
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Fibre Orientation and Void Distribution Analysis in Polymer Composite Structures Using Image Processing
Abstract: Fibre orientation and void distribution are critical microstructural features that govern the mechanical performance and reliability of polymer composite materials. Accurate and simultaneous characterisation of these features remains challenging due to their complex spatial interactions and dependence on processing conditions. In this work, an integrated image-processing framework is proposed for the quantitative analysis of fiber orientation and void distribution in polymer composite structures. High-resolution composite microstructure images are processed through …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 925–933 Read article
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Next-Generation Semiconductors: Making AI, 5G, and More Possible
Abstract: The current digital environment is being reshaped by next-generation semiconductors, which are powering revolutionary technologies including enhanced computing systems, 5G connectivity, and artificial intelligence. Next-generation semiconductors are at the heart of new technologies that are changing the world we live in today, such as artificial intelligence (AI), 5G communication, and advanced computer systems. As traditional silicon-based designs reach their limits in terms of size and performance, new materials, architectures, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 1, 2026 Read article
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IoT-Based Automated Crop Protection System for Smart Farming
Abstract: The development of current technological advancements produces expanded capabilities for agricultural farming production alongside pest management techniques. The Automatic Crop Protection System requires an Arduino controller and Blynk IoT application for monitoring and managing essential environmental parameters including temperature along with humidity as well as soil moisture and pest behavior. Real-time environmental and soil data obtained by the suggested system's sensor array gets analyzed and controlled by an Arduino controller. …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 1–8 Read article
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Multiphysics Optimization of Polymer–Metal Hybrid Electrode Geometry in Electrostatic Precipitators for Enhanced Particle Collection Efficiency
Abstract: Electrostatic precipitators (ESPs) remain one of the most effective technologies for controlling fine particulate emissions in industrial exhaust systems. However, their performance is strongly influenced by electrode geometry and material characteristics, which govern electric field distribution, corona stability, and particle migration behaviour. In this study, a comprehensive numerical investigation is carried out to optimize electrode geometry using a multiphysics modelling framework, while introducing a novel polymer–metal hybrid design to enhance …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 701–716 Read article
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Valorization of Human and Cattle Dental Waste into Functional Composite Biomaterials: A Detailed Comparative Analysis
Abstract: This study investigates the conversion of human and cattle (goat and cow) teeth into bioactive hydroxyapatite-based composites and presents a detailed comparative evaluation of these biogenic materials with laboratory-synthesised (synthetic) hydroxyapatite (HAp). In this work, hydroxyapatite was extracted from human and bovine teeth through controlled calcination and milling, while synthetic HAp was prepared using a standard wet chemical precipitation route. All materials were subsequently sintered at 900 °C and fabricated …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 340–354 Read article
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Extraction and Characterization of Pectin from Malabar Tamarind, and Indian Wild Lime
Abstract: Pectin is a versatile heteropolysaccharide that is widely used in the food, pharmaceutical, and biomedical industries because of its gelling, stabilizing, and emulsifying properties. This review discusses the extraction of pectin from agro-waste peels of Malabar tamarind (Garcinia cambogia) and Indian wild lime (Citrus indica) using conventional acid hydrolysis under optimized conditions: pH 1.5–2.0, 85–90°C, and 90 minutes. The process resulted in 22.5% and 27.8% pectin yields, respectively, verified through …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 472–478 Read article
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Polymeric Micelles for Medicinal Plant Solubilization and Delivery of Bioactive Compounds
Abstract: This study involved the design, fabrication, and characterization of polymeric micellar nanocomposites utilizing amphiphilic block copolymers to effectively encapsulate and transport hydrophobic phytoconstituents. The selected bioactive molecule is curcumin, a polyphenol with limited water solubility. A polymeric system known as PEG-PCL was utilized to fabricate core-shell nanostructures by a solvent evaporation-induced self-assembly method. The resulting nanocomposites exhibited homogeneity and colloidal stability, characterized by a zeta potential of −18.7 ± 1.4 …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 208–219 Read article
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SoloRider: An Autonomous Self-Balancing Electric Bike for Sustainable Urban Mobility
Abstract: Rapid urbanization has intensified challenges such as traffic congestion, parking inefficiency, and environmental degradation. While autonomous vehicle research predominantly focuses on four-wheel platforms, lightweight two-wheelers remain comparatively underexplored. Two-wheelers are a great option for sustainable urban transportation because of their many benefits, including their small size, lower energy consumption, better manoeuvrability, and lesser infrastructure requirements. This paper presents SoloRider, a conceptual autonomous self- balancing electric two-wheeler de- signed for sustainable …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 Read article
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Assessing Taila Bindu Pariksha as a Diagnostic and Prognostic test for Diabetes Mellitus
Abstract: Ayurveda has consistently emphasised on not just treatment of a disease but also how to diagnose it and further assess the prognosis. Ayurveda is blessed with different diagnostic tests which is broadly classified into Roga and Rogi Pariksha such as Ashtavidha Pariksha, Dashavidha Pariksha and Dwadashavidha Pariksha. These tests are used very rarely by just few Ayurvedic practioners as an important diagnostic and prognostic methods in different diseases. Taila Bindu …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 2, 2026 Read article
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Biopolymer-Based 3D Composite Scaffolds for Bone Tissue Engineering: Photothermal-Responsive Systems with Controlled Pt (IV) Prodrug Release
Abstract: Biopolymer-based composite scaffolds have attracted significant attention as multifunctional platforms at the intersection of polymer science, regenerative medicine, and cancer nanotherapy. In this study, a dual-functional scaffold was developed for simultaneous osteosarcoma treatment and bone regeneration using poly (L-lactic acid) (PLLA) reinforced with bioactive glass (BG) and integrated with a glutathione-responsive platinum (IV) prodrug system (PDA@Pt). To improve interfacial adhesion, photothermal conversion efficiency, and tumor-specific activation, the Pt (IV) prodrug …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 351–361 Read article
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Synthesis, characterizations, and challenges of magnetic Zn x Fe 2-x O 3 nanoparticles
Abstract: Diluted magnetic semiconductors comprising magnetic nanoparticles are a driving force in a variety of applications, including biomedicine, bioelectronics, photocatalytic activities, and nanosensors. However, the functionality of these nanomaterials can be influenced by several factors, such as synthesis route, characterization procedures, source, crystal size, and morphology. In this research, emphasis is devoted to synthesizing and characterizing magnetic nanoparticles. Most importantly, it is focused on biological methods, Co-precipitation methods, hydrothermal Gravity methods, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article