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1950 articles for “Al-Cu” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article
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Chemical Modifications of Polymer for Improved Anti-Microbial Action
Abstract: Infections caused by pathogenic microorganisms are a significant concern. Polymers, large molecules formed by chemically connecting monomers, have acquired significant interest due to their intrinsic properties. Polymers function as a matrix for the components that contain antibacterial agents. Developing polymers with antibacterial activity is a crucial research area that aims to alleviate the problem of microbe contamination. The antibacterial polymers typically exhibit prolonged effectiveness. Modification of polymers enhances their anti-microbial …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1919–1931 Read article
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Deep Learning models for real time detection of crop diseases in the Maharashtra/Mumbai district
Abstract: This research project addresses the critical agricultural challenge of crop disease management in the Maharashtra region of India by leveraging modern deep learning techniques. The primary objective is to identify, implement, and compare the efficacy of various deep learning architectures—including Convolutional Neural Networks (CNNs), MobileNet, and EfficientNet—for the real-time classification of diseases in key crops such as cotton, soybean, and sugarcane. A custom dataset of agricultural images specific to Maharashtra's …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 36–48 Read article
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Real-Time Attendance System using Face Recognition Using OpenCV and Firebase Realtime Database
Abstract: The Facial Recognition Attendance System now a days revolutionizes traditional attendance tracking by seamlessly integrating cutting-edge image processing with the capabilities of Firebase Realtime Database. This user-friendly solution simplifies and transforms the attendance management experience. Imagine an intuitive interface utilizing facial recognition technology to effortlessly track attendance. Leveraging advanced face detection algorithms and the enchantment of computer vision, our system ensures accurate face recognition, making each individual unmistakably identifiable. Beyond …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
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Fitness and Aesthetics Hostel Gym Management
Abstract: Fitness & Aesthetics’ mission is to help people achieve their fitness objectives by offering training regimens and healthy living plans, as well as assistance with managing a club. By automating the current manual method with the use of digitized equipment and comprehensive computer software, it will provide the information of the Trainer, Gym, Facility, Workout Routines, and Time Slot and proceed into the administrative position, satisfying their requirements, in order …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 21–27 Read article
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A Machine Learning Approach to Forecasting Outcomes in Limited Overs Cricket
Abstract: This study explores the application of machine learning techniques to forecasting outcomes in limited overs cricket matches, with a particular focus on One Day Internationals (ODIs). The research investigates how classification algorithms can be effectively utilized to analyze both contextual and dynamic factors that influence match results, including venue details, toss decisions, team strength, and historical performance records. By employing a structured methodology encompassing feature selection, data preprocessing, model training, …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 09–19 Read article
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Application of Drug Delivery using Nano- technology to Cure Mental Disorders (Schizophrenia)
Abstract: Nanotechnology involves the manipulation of the count at an atomic scale to create novel systems, materials, and devices. This groundbreaking era holds substantial potential for scientific development across various domain names, which includes manufacturing, patron items, electricity, substances, and remedies. In current times, the sphere of prescribed drugs has witnessed a brilliant surge in the usage of nanotechnology for the improvement of revolutionary medications. Schizophrenia, a neuropsychiatric disorder affecting the …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 1, 2024 · pp. 51–65 Read article
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Factors Affecting Shear Stress on Tablet Hardness and Disintegration
Abstract: The quality and effectiveness of pharmaceutical tablets depend heavily on several factors influencing shear stress on tablet hardness and disintegration. These factors include formulation composition, wherein the selection and concentration of excipients and active ingredients affect how the tablet material responds to shear stress. Additionally, the compression force, speed, and duration during tablet compression are critical, impacting tablet hardness and disintegration properties. Tablet geometry and design, along with tablet press …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 1–19 Read article
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Pneumonia Identification Using Explainable Artificial Intelligence
Abstract: Pneumonia, including tuberculosis (TB), remains one of the leading causes of death worldwide, especially in regions where access to healthcare is limited. Early and accurate diagnosis is critical for effective treatment and better patient outcomes, but traditional methods are time-consuming and require specialized expertise. This study explores the use of advanced deep learning models VGG16, VGG19, and ResNet50 to detect pneumonia and TB from chest X-ray images. By leveraging transfer …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 01–11 Read article
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The Digital Lifeline: How Computers Shape Everyday Life
Abstract: Computers have become an integral part of everyday life, significantly influencing the way the common man interacts with the world. From revolutionizing communication to transforming industries, education, healthcare, and entertainment, computers have reshaped the fabric of modern society. This study explores the multifaceted impact of computers on daily life, examining how they have made tasks easier, faster, and more efficient. While enhancing productivity and connectivity, computers have also introduced new …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 33–47 Read article
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Heart Attack Prediction Using Machine Learning
Abstract: Heart attacks have become a prevalent and serious condition in recent years due to a variety of causes. Numerous variables, including age, sex, fat, and others, can be used to predict it. In the current study, it was found that a data set with 13 parameters and 302 distinct data values, collected from a Kaggle dataset to assess patient condition, was covered. This article delves into the application of machine …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article
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Advancements in Dual-Axis Sun Tracking Solar Panels: Integration and Impact of Weather Sensors
Abstract: In this document, the project suggests this article offers a thorough analysis of the technology, design, and control schemes of a rigid sensor-based dual-axis solar energy tracking system. The results of this inquiry will be valuable to solar energy technology scientists, engineers, and policy makers since they provide information about the most sophisticated dual-axis solar tracking system using hard sensors. Its potential to enhance solar tracking performance is also explored, …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 11–17 Read article
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Time Series Methods in Meteorology: A Review of Predictive Models and Applications
Abstract: The accurate prediction of time series data holds substantial significance in various fields, enabling informed decision-making and resource optimization. In this study, temperature variations over time are predicted using the Autoregressive Integrated Moving Average (ARIMA) model. Reliable temperature projections are more important now than ever because of climate change and its effects. For time series prediction problems, the ARIMA model—which is well-known for its ability to capture temporal dependencies in …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 35–46 Read article
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Applications of Nanotechnology in Advanced Cosmeceuticals
Abstract: Nanotechnology is the study and manipulation of atoms and molecules on the nanoscale, which is approximately 80,000 times smaller than the width of a human hair. By 2015, the global market for products incorporating nanomaterials is projected to reach $2.6 trillion. This field showcases significant progress in research and development by improving product performance and introducing innovative solutions.The usage of cosmetics has increased significantly throughout time, and they are thought …
Published in Recent Trends in Cosmetics · Vol. 2, Issue 1, 2025 · pp. 8–16 Read article
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Recent Trends in Fluid Mechanics with Emphasis on Aeroacoustics and Flow-Induced Noise Control
Abstract: Fluid mechanics continues to evolve rapidly due to increasing demands in aerospace, automotive, energy, and environmental engineering applications. Recent trends in this field highlight significant advancements in both theoretical understanding and practical implementations, particularly in complex flow phenomena. Among these, aeroacoustics and flow-induced noise control have emerged as critical research areas due to their direct impact on system performance, efficiency, and environmental sustainability. Aeroacoustics deals with the generation, propagation, and …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 1, 2026 · pp. 32–38 Read article
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Mechanical Behavioral Analysis of Sugarcane Bagasse, Coconut Fiber and Kevlar Fiber Reinforced Composite with Micrographs
Abstract: Asbestos and alloys are materials that are frequently used as brake pads; however, because these materials pose risks to human health and the environment, including lung cancer, it is necessary to replace the materials used in brake pads. In place of the current brake pads, composite fibers such as kevlar, sugarcane bagasse, and coconut are studied in this study. The procedure of manually laying up composite molding is used to …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 282–296 Read article
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Blockchain Technology: An Overview on Its Working Applications
Abstract: Blockchain technology is one of the enhanced technologies in this era, operating as a structural database that accumulates and stores information in discrete blocks. These blocks are interconnected, forming a chain where data is securely stored. Blockchain employs enhanced security measures to protect against tampering, manipulation, or hacking attempts. A main aspect of blockchain is its decentralized system. When a transaction occurs, approval from authorities within the business network is …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 33–39 Read article
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Affordable Automation: Strategies for Cost Reduction and Efficiency Improvement in Daily Robotics
Abstract: The study examined how robotics technologies can increase productivity in industries. As we all know, artificial intelligence (AI) is on the rise in the market, and industries are becoming increasingly reliant on AI to handle multifaceted tasks. Robotics is one of the most prominent fields in manufacturing and science, where engineers are focusing on developing robots that can perform specific tasks and deliver accurate results. As technology progressed, by 2005, …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 7–16 Read article
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Termite Mound Soil: A Potential Source of Biofertilizer in Koraput, Odisha
Abstract: Mass use of chemical fertilizers and extensive agriculture has reduced soil’s physiochemical properties and nutrient profile, generating crops with higher chemical residues, resulting unhealthy human population. Sustainable and cost effective nature friendly alternative methods of agriculture are the present need, to overcome the crisis. The study with Termite Mound Soil, TMS, in Koraput district of Odisha, India was performed to find nutrient composition and its potential as an ecofriendly, sustainable …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 40–47 Read article
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Silent Submarine Propulsion with High-Efficiency Magnetohydrodynamic Drive
Abstract: Magnetohydrodynamic (MHD) propulsion is an exciting technology that can be easily incorporated into a new submarine or existing one can also be upgraded by replacing the propeller drive with a MHD drive without difficulty. This new technology would provide many advantages like a stealth operation, no cavitation, greater maneuverability, increased payload, addition of an emergency drive system, etc. The design of an MHD motor is very simple and consists of …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 41–55 Read article