Search
683 articles for “study resource”
-
A Thorough Examination of How Artificial Intelligence is Affecting the Transformation of Agriculture in India and Throughout the World
Abstract: By providing creative ways to increase crop yields, maximize resource usage, and advance sustainability, artificial intelligence (AI) is revolutionizing agriculture. AI technologies, such as machine learning, computer vision, and robotics, are being increasingly used in precision farming, crop monitoring, disease detection, and decision-making as the global agricultural sector faces pressing challenges like food security, population growth, and climate change. AI enables farmers to make data-driven decisions, optimize irrigation systems, monitor …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 39–45 Read article
-
Utilizing AWS Advanced Services for Modernizing and Refactoring Legacy Systems to Achieve Cloud-Native Capabilities
Abstract: Updating and restructuring outdated systems is essential for organizations seeking to harness the scalability, adaptability, and robustness offered by cloud-native architectures. Legacy systems can obstruct innovation because of their rigid structure, expensive maintenance, and inability to scale effectively. Amazon Web Services (AWS) provides a comprehensive suite of advanced services that enable the efficient transformation of such systems into modern, cloud-native solutions. This paper explores strategies and best practices for utilizing …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 44–65 Read article
-
Hybrid Best-Response Algorithms for Mobile Computing Offloading: A Comprehensive Review
Abstract: The exponential growth of mobile applications with intensive computational requirements has necessitated innovative offloading strategies in mobile computing ecosystems. This comprehensive review examines hybrid best-response offloading algorithms integrated with game-theoretic optimization frameworks to address resource allocation challenges in mobile edge computing (MEC) environments. The proliferation of Internet of Things (IoT) devices and bandwidth-intensive applications has created unprecedented demands on mobile network infrastructure, compelling researchers to develop sophisticated offloading mechanisms that …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 20–26 Read article
-
Why Sheep Matter? A Holistic Perspective on Productive, Social, and Economic Benefits
Abstract: The comparative advantages of raising sheep over goats have significant implications for productive, social, cultural, and economic perspectives in livestock farming systems. Sheep farming offers unique benefits, including superior wool production, higher carcass yields, and greater adaptability to diverse climates and grazing systems. Sheep are more efficient in utilizing low-quality forages, exhibit better reproductive performance with higher lambing percentages, and demonstrate reduced susceptibility to diseases, resulting in lower veterinary costs. …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 2, 2025 · pp. 9–25 Read article
-
Emerging Role of Drone Technologies in Environmental Research: Trends, Applications, and Future Directions
Abstract: Unmanned aerial vehicles (UAVs), commonly called drones, have rapidly transformed environmental research and management over the past decade. Their flexibility, improving sensor payloads, and ability to collect high-resolution spatial and temporal data make them powerful tools across disciplines — from biodiversity monitoring and precision agriculture to water quality assessment and disaster response. UAVs bridge the gap between ground-based surveys and satellite remote sensing by offering near-real-time, fine-scale data acquisition that …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 34–42 Read article
-
Optimizing Charitable Donations with Mobile Technology: A Comprehensive Study
Abstract: This article explores the utilization of mobile applications for charitable donations, facilitating connections with various responsible NGOs. The primary aim of these mobile applications is to streamline the donation process for individuals, enabling them to contribute money, food, clothing, and other essentials efficiently and effectively. Traditionally, donations are made via individual NGO websites or by directly transferring funds to provided account numbers. Mobile applications revolutionize this process by transforming laborious …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 3, 2024 · pp. 6–20 Read article
-
Edge Computing in IoT: Challenges and Opportunities for Engineers
Abstract: The internet of things (IoT) has revolutionized how we interact with our environment, collect data, and make decisions. However, the exponential growth of IoT devices has led to significant challenges in data processing, latency, and bandwidth usage. Edge computing provides an effective solution to these issues by bringing computation and data storage nearer to the source of data generation. This paper provides a comprehensive exploration of the challenges and opportunities …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 14–19 Read article
-
Investigating the Influence of Changing Climate Patterns on Seasonal Water Availability Within Transboundary River Systems
Abstract: Climate change is significantly altering hydrological systems, particularly in transboundary river basins, which are crucial for regional economies, ecosystems, and human well-being. Variations in precipitation patterns, temperature fluctuations, and altered snowmelt are increasing the unpredictability of seasonal water availability, intensifying risks of both water scarcity and flooding. These shifts pose severe challenges to water management, often leading to disputes and complicating regional cooperation among riparian nations. This study investigates the …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 6–10 Read article
-
Development and Potential of Floating Solar Energy in India: A Review
Abstract: With rapid development, floating solar energy systems are now fast becoming sustainable and cutting edge solutions to problems posed by standard land-based solar energy installations. Utilizing less land with an increasing energy demand, particularly in highly populous areas, such water bodies become an effective alternative for solar power generation by floating solar installations. This study development, growth, and status of floating solar systems, with reference to their applicability and potential …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 1–12 Read article
-
Utilization of Banana Peel Biopolymer as a Natural Coagulant for Wastewater Treatment: A Sustainable Approach to Bio-Composite Applications
Abstract: This study explores an eco-innovative approach to wastewater treatment by utilizing banana peel powder (BPP) as a sustainable, low-cost bio-coagulant. Although effective, conventional chemical coagulants like aluminum sulfate and synthetic polymers are often non-biodegradable, toxic, and economically burdensome, particularly in decentralized or low-resource settings. In contrast, BPP—an agro-waste material rich in bioactive functional groups such as hydroxyl, carboxyl, and phenolic compounds—provides a renewable and environmentally friendly alternative. To enhance its …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 106–115 Read article
-
Real-Time Deepfake Detection in Video Conferencing Systems
Abstract: Deepfake technology presents non-exemplary threats to video conferencing platforms, enabling advanced fraud, impression and misinformation campaigns worth billions annually. Current detection methods either exhibit latencies exceeding 100ms or rely on server-side cloud processing, raising privacy concerns. This paper presents DeepConfGuard, a lightweight hybrid architecture combining MobileNetV2 for spatial feature extraction, a bidirectional LSTM with attention for temporal modelling, and EfficientNetV2 for refinement. It reaches 94.8% accuracy with 85 ms end‑to‑end …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
-
Reading Habits of Research Scholars in ICT Environment with Special Reference to Universities of Bihar: A Survey
Abstract: Reading is a fundamental activity for research scholars, as it underpins their engagement with the existing body of knowledge in their respective fields. Reading habits are influenced by various factors and offer a wide range of benefits. However, challenges exist in today's digital age. Promoting reading habits requires collaborative efforts and tailored strategies. By understanding the influences, benefits, and challenges associated with reading habits, educators, policymakers, and individuals can work …
Published in Journal of Advancements in Library Sciences · Vol. 11, Issue 2, 2024 · pp. 12–18 Read article
-
Integration of Revit to Microsoft Project for Construction Project Management: A Comparative Analysis of Scheduling and Resource Allocation
Abstract: Building Information Modelling (BIM) has revolutionized the construction sector by having architectural, structural, and mechanical design on one 3D platform. Autodesk Revit application enables real-time updates and changes without increasing errors and omissions. Its parametric nature allows users to develop intelligent models, enhancing decision-making, resource allocation, and cost estimation. Revit's visual representation allows effective coordination and communication with stakeholders, promoting a higher degree of client satisfaction. The application and benefits …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 · pp. 13–46 Read article
-
Study of Multiple Modules Solar System Electricity Generation
Abstract: Solar energy is a sustainable, non-depleting, and ecologically safe energy source that originates from sunlight. Every hour, the globe receives enough solar energy to meet its energy demands for a whole year. In the current world, we need power on a regular basis. This solar energy is used in commercial, residential, and industrial settings. It readily absorbs energy from direct sunlight. In this post, we looked at solar energy from …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 1, 2026 · pp. 25–32 Read article
-
Analyzing Flood Return Levels Using the Gumbel Distribution in Niamey, Niger
Abstract: Floods are among the most severe natural disasters, capable of causing significant damage to both the environment and society. This research utilizes the Gumbel distribution to analyze flood return levels by examining historical data from Niamey, Niger. The study focuses on river heights, flow rates, and precipitation patterns to understand the dynamics of flooding in the region. By analyzing these parameters, the research aims to identify severe weather trends and …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 1–12 Read article
-
AI Powered Fault Detection in DC Motor using STM32
Abstract: This work presents the design and implementation of an embedded artificial intelligence system for real-time fault detection in a direct current (DC) motor using the STM32 Nucleo- F411RE microcontroller. The objective of the study is to develop a low-cost and efficient predictive maintenance solution capable of identifying abnormal motor behavior at an early stage. Vibration and temperature signals are acquired using an MPU6050 sensor and processed directly on the microcontroller …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 39–49 Read article
-
Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis
Abstract: The adoption of image processing technologies in agriculture is emerging as a revolutionary method for tackling persistent challenges in the farming industry. These techniques are increasingly used for different tasks such as detecting plant diseases, assessing crop health, and predicting yields, especially in the framework of smart agriculture systems. This study paints a detailed picture of the latest progress in image processing techniques applied to automated disease detection and detailed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 13–19 Read article
-
A Comparative Analysis of Machine Learning Techniques for Fruit Defect Detection Systems
Abstract: With evolving technologies in machine learning, significant advancements have been made in the livestock industry, helping to reduce waste, increase yield, achieve cost savings, and improve competitiveness in the marketplace. Fruit defect detection models support precision agriculture by providing valuable data for decision-making and enhancing overall efficiency through automated inspection processes. This study implements and comparatively evaluates machine learning models including MobileNetV2, a custom-designed convolutional neural network (CNN) model, ResNet50, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 37–47 Read article
-
Preparation and Characterization of Biopolymeric Film for Food Preservation and Packaging: A Review
Abstract: Petroleum-based polymers have been widely used for the production of various products for a long period due to their versatility and durability. However, the increasing demand of these petroleum-based plastic generates tremendous non-degradable plastic waste, leading to significant environmental concerns. Improper disposal practices lead to pollution, posing serious threats to the ecosystem and human health. In response to these challenges, biopolymers have emerged as a promising alternative source that have …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 73–86 Read article
-
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