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572 articles for “Variability”
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Fault Detection in Solar PV Systems Integrated with the Power Grid: Evaluating Logistic Regression through Confusion Matrix Analysis
Abstract: This paper proposes a method for failure detection in grid-integrated solar photovoltaic (PV) systems using logistic regression and real-time sensor data. The approach effectively classifies and identifies seven distinct fault types. The developed model demonstrates a high fault identification accuracy, ranging from 93% to 96.5% across various fault types and operational conditions. By leveraging logistic regression, the system utilizes key independent variables that significantly influence the classification process. Additionally, the …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 45–52 Read article
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Algorithm for the prediction of cardiovascular disease (CVD)
Abstract: cardiovascular diseases (CVD) still claim a significant number of deaths globally and remain the number one killer with an annual death toll of nearly 17.9 million. While several medical advancements have been made, an early diagnosis is still hard to obtain, which often leads to worsening conditions and intricate treatment options. With the advancement of modern technology, Machine learning has demonstrated to be a miraculous tool which can greatly impact …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 Read article
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Optimization of Type-4 Plastic Liner Composite Overwrapped Pressure Vessel Design
Abstract: Composite Overwrapped Pressure Vessels (COPVs) are prominently utilized for the storage of gases at high-pressure. Their widespread adoption is because they are significantly lighter weight compared to complete metal counterparts, but requires specialized design, and manufacturing process. This research employs finite element modelling to analyse the stress and failure assessments on a specific Type-IV COPV with plastic liner as core cylinder. This study aims to optimize COPV design by considering …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 405–412 Read article
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Farmer’s Pal
Abstract: Precision agriculture, characterized by data-driven decision-making, has transformed contemporary farming practices. To increase agricultural sustainability and efficiency, this abstract investigates the combination of sensor monitoring, machine learning, and picture processing. A network of sensors continuously collects vital environmental data, including temperature, humidity, rainfall, sunshine, soil moisture, and conductivity, for precision agriculture. By providing real-time insights, these sensors enable farmers to make informed choices about pest control, fertilization, and irrigation. This …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 19–31 Read article
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Development of 3D Printing Filaments from Industrial Waste Plastics
Abstract: The global plastic waste crisis has prompted innovative approaches to sustainable material reuse, particularly in additive manufacturing. Simultaneously, the accumulation of plastic waste presents significant environmental concerns. Recycling plastic into filament supports eco-friendly innovation and brings us closer to a circular economy where materials are reused instead of thrown away. This study investigates the development of 3D printing filaments from industrial waste plastics, including polypropylene (PP), acrylonitrile butadiene styrene (ABS), …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 12–17 Read article
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Neurophysiological Effects of Chanting the Gayatri Mantra on Students of Allied Health Sciences: A Study among 1200 Students at Paramedical College, Desh Bhagat University
Abstract: Background: The Gayatri Mantra, a sacred Vedic chant, is traditionally believed to offer numerous benefits, including mental clarity, stress reduction, and cognitive enhancement. Despite anecdotal evidence supporting these claims, scientific research on its neurophysiological effects, especially within educational settings, remains limited. This study investigates the impact of chanting the Gayatri Mantra on brain activity, stress levels, and cognitive performance among 1200 students in the Allied Health Sciences program at Paramedical …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
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U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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A Combined ECG and PPG Signal Powered Artificial Intelligence-Based Prediction Model for Stroke
Abstract: Stroke is one of the most common causes of morbidity and mortality around the world, and emphasis on prevention and early detection strategies cannot be overstated. This review aims to integrate techniques of artificial intelligence with electrocardiogram and photoplethysmogram signals to enhance stroke prediction and monitoring of cardiovascular health. All in all, the application of artificial intelligence that incorporates machine learning, deep learning, or hybrid models gives robust tools toward …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 18–26 Read article
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The Role of Gut Microbiota in the Health Effects of Fermented Dairy Products
Abstract: The human gut microbiota plays a crucial role in maintaining physiological health, influencing digestion, metabolism, immune function, and even mental well-being. Among dietary interventions aimed at modulating gut microbiota, fermented dairy products have emerged as particularly promising due to their rich content of live microorganisms, bioactive compounds, and nutrients. This review explores the intricate interactions between fermented dairy products and the gut microbiota, highlighting their potential health benefits and underlying …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 2, 2025 · pp. 5–10 Read article
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Nanoelectronics Based on Carbon Nanotubes
Abstract: Nanoelectronics, the study and application of electronic components and systems at the nanometer scale, plays a pivotal role in advancing modern technology toward faster, smaller, and more energy-efficient devices. Among the various nanomaterials explored for these applications, carbon nanotubes (CNTs) have emerged as one of the most promising candidates due to their exceptional electrical conductivity, mechanical strength, and thermal stability. This project report presents an in-depth exploration of the role …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 3, 2025 · pp. 40–53 Read article
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Design and Implementation of an Automatic Tea Vending Machine Using Arduino Uno and Android-Based Customization System
Abstract: The Android app-based Automatic Tea Vending Machines are a clever and creative way to automate the tea-making process while providing consumers with a customized experience. The Arduino Uno microcontroller, which powers key functions like ingredient delivery, water heating, and customizable settings, is the foundation of this system. To ensure consistent and superior tea preparation, a kettle is used to heat water to the ideal temperature. Users may simply and remotely …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 1–7 Read article
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Advancing Brain Tumor MRI Segmentation
Abstract: Segmentation of brain tumors in MRI scans is an integral part of neuroimaging carried out for diagnostic and therapeutic interventions. Given that manual segmentation is cumbersome and highly variable, there arises a need for automated, more precise segmentation solutions. This project, ‘Machine Learning and Deep Neural Networks to Advance Brain Tumor MRI Segmentation’ will develop a better, efficient, and accurate segmentation model to help clinicians identify brain tumors with greater …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 28–33 Read article
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Satellite Sensing in Climate Change Study: A Review
Abstract: Satellite remote sensing has revolutionized our understanding of climate change, providing a global and continuous perspective on Earth's climate system. This study highlights the crucial role of satellite observations in monitoring key climate variables, such as sea surface temperature, ice sheet extent, vegetation cover, and atmospheric composition. From monitoring greenhouse gas concentrations in the atmosphere to mapping ice sheet thickness and sea level rise, satellite instruments offer invaluable data for …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 2, 2025 · pp. 1–11 Read article
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Comparative Analysis of Sustainable Materials in Road Construction: A Review
Abstract: The immediate need for sustainable infrastructure has driven research into new materials in road construction with the goal of reducing environmental degradation and enhancing resource efficiency. This review is a comparative analysis of four innovative technologies involving industrial and natural waste products: recycled aggregates from construction and demolition (C&D) waste, feldspar powder from lithium mining, stabilized dam sediments using eucalyptus ash, and calcium carbide residue (CCR) blended with dredged sludge. …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 · pp. 93–98 Read article
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Study of Energy Efficiency in IoT Devices
Abstract: The Internet of Things (IoT) is transforming industries and daily life by connecting billions of devices, yet its growth presents significant energy efficiency challenges. This paper explores strategies to address these challenges by investigating energy harvesting techniques and low-power communication protocols. Energy harvesting methods, including solar, kinetic, and thermal energy, offer sustainable alternatives to traditional battery-powered IoT devices, reducing dependency on non-renewable resources and enabling longer operational lifetimes. Simultaneously, low-power …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 34–40 Read article
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A Study on Heavy Metal Contamination in Workers Handling Electronic Waste in North India
Abstract: Background E-waste contains hazardous substances like leads, cadmium, mercury, and arsenic which can be harmful for informal workers and recyclers. In North India, one finds an informal sector of e-waste workers who work in extremely micro-manageable conditions with lack of order policy and protective equipment. This study explores the processes and cavities of heavy metals as well as assessing the knowledge, safety measures, and health symptoms of the reclaimers. Objectives …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 2, 2025 Read article
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Data-Driven Life Prediction of Fiber-Reinforced Polymer Composites Using IoT Sensing and Machine Learning Algorithms
Abstract: The accurate prediction of fatigue life in fiber-reinforced polymer (FRP) composites remains a major challenge due to their nonlinear, multi-mechanism degradation behavior under variable loading conditions. This study presents a data-driven framework, H-LiProNet, which combines real-time IoT sensing with hybrid machine learning to estimate remaining useful life (RUL) in FRP composites. The proposed system integrates embedded Fiber Bragg Grating (FBG) and acoustic emission (AE) sensors to capture strain and damage …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 116–130 Read article
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Fungus Detection System
Abstract: This project identifies fungal pathogens in wet soil with sensors and gives an instant result through an Android app. It helps farmers avoid crop loss, increase yield, and encourage eco-friendly farming practices by enabling early detection and evidence-based decision-making for soil health management. Soil condition is most important to agriculture and environmental health. Having fungus in pre-maturity soil analysis can prevent crop damage and increase the yield. This project seeks …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 30–34 Read article
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An Experimental Investigation of Process Parameters for Aluminum Alloy Composites
Abstract: The objectives of this work are to develop an aluminum alloy composites and investigate machining process parameters effect on the tool wear rate for composites. The composite is enhanced using silicon carbide and graphite. The composite is made by a method called stir casting. Furthermore, it is investigated both mathematically and experimentally. This study takes trial on aluminum alloy composite to see output characteristics tool wear rate are affected by …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 185–193 Read article
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Innovations and Comparative Analyses in Foam Concrete: A Review of Emerging Techniques and Materials
Abstract: Foam concrete, recognized for its lightweight and eco-friendly properties, is gaining prominence as a sustainable construction material. However, challenges such as low mechanical strength, performance variability, and limited environmental resistance have prompted significant innovations in recent years. This study synthesizes findings from three key studies focused on enhancing foam concrete’s performance through nanomaterials, natural fibers, and alternative lightweight aggregates. The incorporation of nano-silica and nano-calcium carbonate into coal gangue foam …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 Read article