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238 articles for “Machine learning”
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Machine Learning-Based Channel Estimation for 5G NR Systems: A Comprehensive Review of TDL/CDL Channel Models and CNN Architectures
Abstract: Accurate channel estimation is a fundamental requirement for reliable communications in fifth-generation New Radio (5G NR) systems, where highly dynamic propagation environments impose severe challenges on conventional pilot-based methods. This study provides a thorough analysis of channel estimate methods for 5G NR, including everything from contemporary deep learning (DL) techniques based on Convolutional Neural Networks (CNNs) to traditional Least Squares (LS) and Minimum Mean Square Error (MMSE) estimators. Our analysis …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Advancing Maize Leaf Disease Detection: A Machine Learning Approach
Abstract: Every day, countless grains and fruits are cultivated around the world. To keep up with the growing population’s needs, farmers are constantly adopting new and advanced techniques. Furthermore, the development and application of new technologies enable the quick and simple detection of plant diseases. Identifying plant diseases at an early stage is crucial to minimizing their effects on crop productivity and quality. Traditional diagnostic methods often rely on expert knowledge …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 17–25 Read article
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Machine Learning and Big Data in Smart Grid Renewable Energy Systems: Trends and Challenges
Abstract: This paper reviews eight research studies on smart grids and their role in mitigating greenhouse gas (GHG) emissions, which have become a critical concern worldwide. Renewable energy sources such as solar, wind, and hydro produce minimal or no greenhouse gases and, unlike fossil fuels, are abundant, sustainable, and ensure a long-term energy supply. Large volumes of data have been produced by recent technical developments and thorough historical data collection. Efficient …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 11, Issue 1, 2025 · pp. 21–26 Read article
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An Efficient Machine Learning System forPrediction of Water Quality with Explainable AI
Abstract: Abstract Water availability and quality have been issues globally, especially in developing nations. Unchecked urbanization and industrialization contaminate natural water supplies and aquifers, potentially introducing physical, chemical, and biological contaminants. Over 80% of illnesses are caused by drinking tainted water, according to a WHO assessment. As clean water sources become more at risk, water quality protection has become of human, environmental, and economic importance worldwide. These water sources, crucial for …
Published in International Journal of Water Resources Engineering · Vol. 11, Issue 1, 2025 · pp. 33–42 Read article
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Facial Image Analysis for Identification of Gender: A Machine Learning based Approach
Abstract: Facial biometrics for gender classification is known to significantly improve the efficiency of person identification in biometric access control models. It not only increases the speed but also improves the accuracy. It reduces the effort of finding a match for a face in the databases to almost a half. The process like any pattern recognition framework needs to extract the useful features. A novel gender identification algorithm is proposed which …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 23–29 Read article
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Sound-based Bird Classification Using Perceptual Features and Machine Learning: A Gaussian Mixture Model
Abstract: Classification of birds based on their sound patterns and identification of bird species found in the chirping sounds of birds were experimented with using the feature extraction method. This work is beneficial in ornithology to study birds and their behavior based on their sounds. The proposed methods can automatically classify birds by different sound processing. The audio file of a bird’s sound recording is first cut into smaller samples, and …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 46–52 Read article
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Performance Comparison of Handwritten Digit Recognition Using Machine Learning Techniques
Abstract: Handwritten pattern, character and digit recognition has always been the most demanding and interesting fields of image processing. The objective of this work is representing and demonstrating the algorithms which are used to recognize handwritten digits. Recognition of handwritten digits has always a bit complex, but it is mostly used in various day-to-day applications. In the task of recognition, the digits are not correctly or accurately scripted or written as …
Published in International Journal of Digital Communication and Analog Signals · Vol. 7, Issue 1, 2021 · pp. 9–18 Read article
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House Price Prediction using Machine Learning Algorithms
Abstract: House Prices depend on various factors such as location, features of the house, construction and so on. To factor all these aspects and predict an accurate price of the house can be very tricky. The following paper proposes a system that considers every aspect of a house that effects its pricing and gives an accurate prediction of the house. The system accomplishes this utilising Gradient Boosting, Random Forest, and Decision …
Published in International Journal of Digital Communication and Analog Signals · Vol. 8, Issue 1, 2022 · pp. 23–29 Read article
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Crime Rate Prediction System Using Machine Learning.
Abstract: Crime rate prediction is an important research area that helps law enforcement agencies to take proactive measures to prevent crime. The proposed model uses a combination of historical crime data to predict crime rates.The proposed model uses a supervised learning approach where the crime rate is predicted based on a set of input features. The input features include historical factors such as area, year, crime type. This paper presents various …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 18–27 Read article
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AI Techniques for Data Analytics and Data Science: Software Tools, Research Challenges, Applications: A Review
Abstract: Artificial intelligence is the branch of Computer Science in which multidisciplinary expertise is required and ultimately the main aim is to automate the activities of all human which require human intelligence. The main issue is to design or create machine that completely works like a human brain. Artificial Intelligence architecture focuses on evaluation and redesigns design process. Now days Data Science is most popular all around the world and is …
Published in International Journal of Computer Aided Manufacturing · Vol. 5, Issue 1, 2019 · pp. 9–17 Read article
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Bot Defender: A Collaborative Defense Framework for Botnet Intrusion Mitigation
Abstract: Botnet attacks represent a significant threat to cybersecurity, compromising vast numbers of devices and causing extensive harm. BOT DEFENDER is a novel collaborative defense framework designed to mitigate botnet intrusions effectively. This framework leverages the power of collective intelligence, integrating data from multiple sources to detect and respond to botnet threats in real-time. By utilizing advanced machine learning algorithms, BOT DEFENDER can identify anomalous network behavior indicative of botnet activities, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 6–11 Read article
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SMART SURVEILLANCE: AI-DRIVEN DRIVER DROWSINESS DETECTION SYSTEM
Abstract: In this study, a real-time application for driver drowsiness detection based on machine learning and deep learning is developed. Accidents, including traffic accidents, are now a frequent cause of fatalities and injuries among people. One of the major contributing factors to traffic accidents and a significant threat to road safety is drowsy driving. As a result, there are more people dying and getting hurt every year. Serious traffic accidents have …
Published in International Journal of Computer Aided Manufacturing · Vol. 9, Issue 1, 2023 · pp. 29–35 Read article
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Advancing Early Detection of Menkes Disease Through Image Analysis and Biosensor Integration
Abstract: Menkes disease, a rare X-linked recessive disorder of copper metabolism, poses significant challenges in early diagnosis due to its nonspecific initial symptoms. This paper presents a comprehensive approach to enhance the early detection of Menkes disease by leveraging image processing techniques, pattern recognition algorithms, and innovative biosensor technologies. A novel framework is proposed that combines analysis of hair microscopy images, facial feature recognition, and copper-sensitive biosensors to create a multi-modal …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 24–34 Read article
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Identifying Fake News Using Big Data
Abstract: In today's world, where digital information spreads swiftly, the rise of fake news poses a threat to society. This research paper presents a method to address this issue by employing data analytics. To address the issues of misinformation, public manipulation, and threats to democracy we propose a framework. Our strategy incorporates advanced methodologies, including natural language processing, machine learning, and network analysis. Using these techniques, we examine various data sources …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 7–14 Read article
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A Smart Recommendation System for Carrier Shipper Matching Using Multilabel Classification – A Survey
Abstract: Efficient matching between carriers and shippers is crucial in the logistics industry to optimize resource utilization and minimize costs. This paper puts forth a smart recommendation framework dependent on multilabel classification techniques to improve the carrier-shipper matching process. The method makes use of machine learning techniques to predict multiple relevant carrier options for a given shipment request. We present a comprehensive literature review on related works in carrier-shipper matching and …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article
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Farm Management for Sustainable AI and IOT Based Agriculture
Abstract: The sector of agriculture has undergone a transformation thanks to the integration of synthetic Artificial intelligence (AI) and The Internet of Things. This has made it conceivable to move towards smart agriculture and promote the evolution of sustainable farming methods. In-depth study of the uses, approaches, difficulties, and potential applications IoT and AI in intelligent agriculture and sustainable farming is offered in this survey report. We examine the several AI …
Published in International Journal of Agrochemistry · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article
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AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability
Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed smart homes into intelligent, self-regulating environments. Despite these advancements, ensuring the long-term reliability and efficiency of interconnected devices remains a complex challenge due to device heterogeneity, dynamic usage patterns, and continuous data streams. This study investigates AI-driven predictive maintenance (PdM) as a proactive strategy for detecting early signs of equipment degradation in residential settings. The proposed …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Face and Speech Emotion Recognition
Abstract: The study “faces and speech recognition” underscores the critical role of speech emotion recognition (SER) and its diverse applications across various fields, such as medicine, human-computer interaction, and customer service. SER has gained significant importance in cognitive psychology due to its potential to enhance user experience, improve patient care, and optimize the interaction between users and products. The process involves the identification and extraction of essential features from speech signals, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 35–43 Read article
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The Life-changing Impact of Mental Health Trackers
Abstract: This study explores the revolutionary potential of mental health trackers, which are cutting-edge digital technologies that have become essential in tackling the many issues surrounding psychological well-being in modern times. This study article delves into the various typologies and technological breakthroughs of mental health trackers, emphasizing their ability to empower people from all walks of life to actively monitor and nurture their mental health. The research results emphasize how mental …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 29–33 Read article
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Smart Wastewater Treatment Plant Modeling Using ANN And ASM1 MATLAB Simulation
Abstract: Wastewater Treatment Plants (WWTPs) are necessary infrastructure for protecting the environment and public health, but modeling and predicting performance has been an ongoing challenge for engineers working within a WWTP and regulators of the environment. For many years the Activated Sludge Model No. 1 (ASM1) has been the standard for simulating biological treatment processes, but the conventional implementations in MATLAB do not provide the user-friendly interface, the predictive intelligence, or …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 44–62 Read article