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96 articles for “Growth Algorithm”
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Variation In Wave Steepness and Wave Age-A Case Study in The Arabian Sea from Buoy Measurements During Post-Monsoon
Abstract: The National Institute of Ocean Technology (NIOT) moored buoy measurements in the Central Arabian Sea (AS) at AD07 location (68.87 E, 15.07 N) during the year 2015 are utilized to understand wind and wave growth characteristics at this location during the post- monsoon season covering the three-month period from October to December (OND). The wave direction followed the wind from Northeast while the swells were predominantly from the Southern Indian …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 2, 2025 · pp. 10–21 Read article
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A Study of DATA Mining Algorithms
Abstract: The time needed for generating frequent patterns plays a vital role. Some algorithms are designed, considering solely the time issue. Our study includes depth analysis of algorithms and discusses some problems of generating frequent pattern from the varied algorithms. We have explored the unifying feature among the inner operating of assorted mining algorithms. The work yields a close analysis of the algorithms to elucidate the performance with normal dataset like …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 1, 2015 · pp. 22–26 Read article
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Farming Forward: Integrating IoT, AI, and Image Processing for Sustainable Agriculture
Abstract: Farming Forward: Integrating IoT, AI, and Image Processing for Sustainable Agriculture" explores the convergence of cutting-edge technologies in revolutionizing traditional farming practices towards sustainability. This study investigates the integration of Internet of Things (IoT), Artificial Intelligence (AI), and Image Processing techniques in agricultural contexts, aiming to enhance efficiency, productivity, and environmental stewardship. Through a comprehensive review of recent advancements and case studies, this research elucidates the transformative potential of IoT-enabled …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 52–69 Read article
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Revolutionizing Agriculture with Advanced Computer Vision Technologies
Abstract: The integration of computer vision technology in smart agriculture has marked a significant advancement in the way farming operations are conducted, leading to enhanced productivity and efficiency. This paper explores the multifaceted applications of computer vision, which include crop monitoring, disease detection, automatic harvesting, and quality inspection. By utilizing high-resolution imaging and advanced algorithms, farmers can achieve real-time insights into crop health and growth stages, enabling them to make informed …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 2, 2025 · pp. 24–30 Read article
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Stock Price Movement Prediction using Machine Learning Algorithms and Time Series Models: A Review
Abstract: The stock market is a very important place for investment in a country. It also serves as the index of the growth for an economy. To determine the behavior of the stock market trends has been the focal point of researchers for very long. The nonlinear structure of the stock market makes it challenging to predict how the stock price will change. But it has been demonstrated that stock market …
Published in Journal of Operating Systems Development & Trends · Vol. 9, Issue 2, 2022 · pp. 7–13 Read article
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DESIGN OF SANITARY-STORM NETWORK USING SEWERGEMS: A CASE STUDY
Abstract: The paper presents an advanced modelling and the hydraulic design of underground sewerage system using different software, which allows model to complete in a short time, with high efficiency and low costs. Navi Mumbai was taken as a model for the study. The space under consideration was picked-up based on the present facility and preference was given in the need of sanitary facility. Bentley SewerGEMS CONNECT Series is only fully-dynamic, …
Published in Journal of Water Resource Engineering and Management · Vol. 7, Issue 1, 2020 · pp. 6–15 Read article
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Mean based Load Adaptation Algorithms (MLAA) for Energy Saving in FiWi Access Networks
Abstract: AbstractFiber Wireless (FiWi) network has been evolving as a promising broadband access network. It provides high data rate, flexibility and stability to the users. Exponential growth in broadband access networks has opened many research challenges. Energy conservation is one of them. In FiWi network, among all the components, optical network unit (ONU) consumes most of the power of the network. Hence, to keep ONU in low power state while ensuring …
Published in Trends in Opto-electro & Optical Communication · Vol. 6, Issue 3, 2016 · pp. 23–32 Read article
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Learning of Maximum Power Point Tracking Architecture with Various Algorithms for Photovoltaic Systems: A Review
Abstract: Currently, as the requirement on the Earth for ever more electricity grows, so too accordingly must demands upon renewable energy. These days, with the growth of renewable energy on all fronts, countries everywhere watch its development. Since demand for power generation goes up again, fossil fuels become less and less available, and expense is not coming down. When there is a rapidly changing irradiance, temperature, or partial shading, the output …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 2, 2026 · pp. 14–22 Read article
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Sentiment Analysis of E-Commerce Reviews using Machine Learning
Abstract: In e-commerce, sentiment pertains to the emotional responses, opinions, or perceptions that customers have about their online shopping experiences, including factors like product quality, service, and various processes such as ordering, shipping, and customer support. Sentiment analysis, which involves machine learning techniques, plays a crucial role in deciphering these sentiments. By using sentiment analysis, companies can obtain valuable insights from customer feedback from diverse online sources, including social media, surveys, …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 25–37 Read article
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Hybrid Deduplication for Secure Data Sharing Using Erasure Techniques and HIDC
Abstract: Data deduplication has an important role in reducing storage consumption to make it affordable to manage in today’s explosive data growth. To overcome the problems occurring in the cloud a system is proposed, in which History Aware Inline De-duplication algorithm for checking duplicity of data before uploading it on the server is used. MD5 algorithm is used to generate the hash value of the data. Also, erasure coding is used …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 3, 2017 · pp. 34–39 Read article
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A New Evaluation Index for Application of Machine Learning Algorithms to Determine Trust in Skewed Social Media Data
Abstract: In this paper we study the problem of accuracy paradox which arises on the application of machine learning algorithms for inference of trust in skewed social media data. Skewness is defined as the under representation of one class over another in a binary classification problem. We achieved our purpose of identifying the accuracy paradox problem in various algorithms by identifying a new evaluation index called predictive index. The dataset used …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 49–57 Read article
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Classification of Mammogram Images by Machine Learning Algorithm Attacker Nodes
Abstract: Abstract— Breast cancer is basic in ladies' these days. In beginning when cells in the breast start to develop out of control. These cells generally structure a tumor that will frequently be seen on a x-beam or felt as a lump. Cells in almost any piece of the body can move toward becoming malignant growth and can spread to different regions of the body. There are very nearly 6 phases …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 2, 2019 · pp. 1–10 Read article
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The Contribution of Mathematics to Make Developed India
Abstract: This research paper explores the significant contributions of mathematics to the development of India, tracing its influence from ancient innovations to modern applications across diverse sectors. India has a long-standing mathematical tradition, with foundational achievements such as the invention of zero, the decimal system, and advancements in algebra, trigonometry, and geometry, which profoundly shaped global knowledge systems. These early contributions established India as a pioneering hub of mathematical thought and …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 3, 2025 · pp. 08–15 Read article
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Harvestify: ML Based Tool for Home Gardening and Farming
Abstract: This study presents a cutting-edge application that will transform home gardening and agriculture practices using machine learning (ML) approaches. The main goal is to provide data-driven insights to home gardeners and farmers, enabling them to implement efficient and sustainable farming practices. Crop disease detection, fertiliser recommendation, and a community section for user engagement comprise the three main elements that make up the system's architecture. The Crop Disease Detection module analyses …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 2, 2024 · pp. 18–28 Read article
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Digital Farming: A Review on Agricultural Technologies and Data- Driven methods
Abstract: The article provides a comprehensive overview of the digitalization of farming and explores the technologies and data-driven approaches revolutionizing modern agriculture. The study examines the role of digital technologies such as precision agriculture, Internet of Things (IoT), artificial intelligence (AI), and data analytics in transforming various aspects of farming practices, including crop management, livestock production, and farm operations. The article reviews the application of sensor technologies for real-time monitoring of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 12, Issue 1, 2023 · pp. 9–15 Read article
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The Past, Present, and Future of Power Conversion Technologies for Computer, Networking, and Telecom Power Systems
Abstract: The power systems of modern computers, networking, and telecom equipment face formidable challenges due to the ongoing increase in power-density and efficiency requirements. Significant technological breakthroughs in system designs, devices and materials, topology optimization, and packaging/thermal design will be necessary to meet these objectives. To address these challenges, ongoing research and development efforts are being conducted in academia, industry, and government institutions. These efforts aim to revolutionize power system designs, …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 1, 2023 · pp. 16–31 Read article
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Parameter Estimation of Software Reliability Growth Model
Abstract: Reliability normally covers each and every part of the device thinking about hardware, software program and processes but software program reliability paperwork an important factor as we are continually worried with efficient and quality software program. Software reliability is a crucial characteristic of software, nice for predicting the diploma of creditability of the precise software for the specified time frame and in particular surroundings. Software reliability models are categorized into …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 1, 2020 · pp. 15–22 Read article
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Artificial Intelligence and Personalized Learning
Abstract: Artificial Intelligence is transforming education by delivering customized learning pathways that align with each learner’s unique abilities and areas for improvement. Traditional teaching often struggles to meet individual needs; however, AI-powered systems analyse learning patterns in real time, ensuring customized lessons. Virtual tutors and AI chatbots provide instant feedback and 24/7 support, improving comprehension. Gamified learning, combined with augmented and virtual reality, transforms education into a more engaging and enjoyable …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 11–18 Read article
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Disease Prediction Using Machine Learning (ML)
Abstract: A technique called Machine Learning Disease Prediction uses symptoms reported by users or patients to forecast disease. The user-provided symptoms are entered into the system, and it outputs the disease probability. In disease forecasting, various popular supervised machine learning methods are known to be utilized. These algorithm estimates the likelihood of a disease occurrence. Precise analysis of medical information will support timely disease detection and management of patients based on …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 2, 2024 · pp. 40–48 Read article
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Bridging the Digital Divide: Examining the Ethical and Societal Impacts of Computing
Abstract: The fast-paced advancement of computing technologies has greatly influenced modern society, bringing with it both opportunities and challenges. While these innovations have improved efficiency, connectivity, and accessibility, they have also introduced pressing concerns that require careful consideration. Issues such as privacy protection, the widening digital divide, algorithmic bias, cybersecurity risks, and ethical dilemmas surrounding artificial intelligence are at the forefront of these challenges. As computing becomes increasingly integrated into everyday …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 01–13 Read article