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238 articles for “Machine learning”
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Comparative Analysis of Air Quality Indices Across Five Eastern States of India Using ML Models and Pollutant Based Insights
Abstract: This paper presents a comparative study of Air Quality Index (AQI) levels in five eastern Indian states–Arunachal Pradesh, Assam, Meghalaya, Nagaland, and Tripura. Using historical data, the study explores the concentration of key pollutants, including PM2.5, PM10, NO2, SO2, CO, and Ozone, highlighting regional variations in air quality. Assam, with its higher levels of urbanization and industrial activity, shows elevated AQI levels, especially for pollutants like PM10 and NO2. In …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 31–42 Read article
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Adaptive Finite Element Machine for Real-time Structural Damage Detection
Abstract: Systems for monitoring structural health (SHM) are essential for guaranteeing the consistency and safety of civil infrastructure. The timely identification of structural deterioration is crucial in order to avert major malfunction and save upkeep expenses. In this research, we describe a unique real-time structural damage detection method based on Adaptive Finite Element Machine (AFEM). To locate and diagnose structural degradation in an adaptable manner, AFEM combines machine learning methods with …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 9, Issue 2, 2023 · pp. 8–14 Read article
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Advances and Emerging Trends in Classical and Modern Thermodynamics.
Abstract: Thermodynamics, as a foundational discipline of physical science, has continually evolved from its classical roots to modern, interdisciplinary applications. Classical thermodynamics established the laws governing energy, entropy, and equilibrium, providing the framework for analyzing heat engines, refrigeration cycles, and chemical processes. Recent advances have expanded these principles into new domains, integrating statistical mechanics, quantum theory, and non‑equilibrium systems. Emerging trends highlight the role of thermodynamics in nanoscale and quantum technologies, …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 12, Issue 1, 2026 · pp. 1–8 Read article
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The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment
Abstract: Artificial intelligence (AI) is increasingly reshaping mental health care by supporting early identification of mental health conditions, improving diagnostic accuracy, and enabling personalized intervention strategies for disorders such as depression, anxiety, and post-traumatic stress disorder. Advanced AI technologies, including machine learning algorithms and natural language processing techniques, allow analysis of large-scale behavioral, textual, and speech-based data to identify patterns related to emotional and cognitive health. These tools help clinicians make …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 22–26 Read article
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Fake News Detection Based on 3-HAN Architecture Using Deep Learning Techniques
Abstract: Fake news spreading is a common scenario we see nowadays in this modern era of social media and smart phones. According to the New York Times, fake news is described as “a made-up story with the intention of misleading, frequently with financial gain as the motive.” The problem is complex, given its varied interpretations across the globe. Hence, an effective system is needed to detect whether the given news is …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 21–31 Read article
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Design and Prototype of an Autonomous Car using Image Processing
Abstract: The goal of the project is to construct a working model of an autonomous vehicle. The car will receive the essential information from the outside world through the use of an HD camera for image processing. The car can drive itself safely and intelligently to the specified location, reducing the possibility of human error. Numerous currently used methods, like object and lane identification, are combined to offer the car the …
Published in International Journal of Computer Aided Manufacturing · Vol. 9, Issue 1, 2023 · pp. 6–12 Read article
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Deep Learning for Smarter Farming: Innovations in Plant Disease Identification
Abstract: Agriculture is the backbone of global food security, yet plant diseases significantly impact crop yields and farmers' livelihoods. Traditional disease detection methods are often time-consuming and require expert intervention, making them less feasible for large-scale farming. Recent advancements in deep learning have revolutionized plant disease identification by offering automated, accurate, and efficient solutions. This article explores innovative deep learning techniques, including convolutional neural networks (CNNs) and transformer-based models, that enhance …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 27–32 Read article
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Forecasting Trends in the Stock Market by Using Deep Learning Approaches
Abstract: Accurately predicting stock market trends remains a significant challenge in the field of finance. Deep learning, a subset of machine learning, has emerged as a powerful tool for capturing complex relationships within data. What sets deep learning apart is its ability to handle vast amounts of data, recognize intricate features, and adapt to evolving patterns, all while uncovering hidden insights. At its core, deep learning uses artificial neural networks that …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 22–30 Read article
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Review of Anomaly Detection Techniques in MANETs: AMachine Learning Approach to Intrusion Detection, Attack Prediction, and Routing Security
Abstract: Mobile Ad hoc Networks (MANETs) are decentralized, self-organizing networks that offer flexibility and scalability for a variety of applications. However, their dynamic topology and limited resources make them highly susceptible to security threats. Traditional security measures often struggle to address the complexities of evolving and sophisticated attacks within such networks. This paper reviews the role of machine learning (ML) techniques in enhancing anomaly detection capabilities in MANETs, focusing on their …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 1–5 Read article
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A Review on Crypto coin price prediction
Abstract: Due to its advantages over the established banking system, cryptocurrencies have experienced a sharp increase in price inrecent years, which has had a positive impact on the economy. As cryptocurrencies are organized by blockchain technology, itinherits its properties such as Decentralization, Transparency, Immutability. In recent years, investors and stakeholdershave become increasingly interested in machine learning and AI-assisted trading. The effectiveness of machine learningtechniques in predicting the stock market leads one …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 1, 2022 · pp. 37–42 Read article
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Use of Natural Language Processing for Hate Speech Detection on SocialMedia:
Abstract: The exponential growth of social media platforms has led to an increase in user- generated content, enhancing global connectivity but also facilitating the spread of harmful language, including hate speech. Addressing this issue requires robust, Naïve Bayes, Decision Tree, K-Nearest Neighbours (KNN), Linear Regression, and Random Forest—were tested, with Linear Regression achieving the highest accuracy automated systems for detecting and mitigating offensive content. This paper presents a comprehensive analysis of …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 9–16 Read article
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Bank Loan Approval Automation
Abstract: Because of the pandemic everyone need loan to grow their business so lot of people apply for the bank loan but bank has its limited assets which it has to grant to limited people only, so finding out the person who return the loan in a given time is a difficult job. So Here our machine learning model come in to picture the main motive of our model is try …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 1, 2021 · pp. 16–20 Read article
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A study on additive manufacturing with optimization of artificial intelligence
Abstract: Abstract The process of producing a three dimensional product layer by layer is called additive manufacturing. This process not the same as a traditional machining procedure. Chips are taken out of the raw material to create a component in traditional machining. three dimensional printing is another name for additive manufacturing. The benefit of three dimensional printing is that it can create any complex three dimensional item. The culinary, chemical, aerospace, …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 19–40 Read article
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Audio & Video Translate System
Abstract: With the increasing expansion of digital media and globalization, there is a rising need for sophisticated audio and video translation systems to overcome language and cultural barriers. This paper explores the role of these systems in localizing multimedia content, ensuring accessibility, and complying with global standards, including those focused on individuals with disabilities. The research aims to investigate how various translation technologies, such as dubbing, subtitling, and audio descriptions, contribute …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 6–12 Read article
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Ethereum Price Prediction Using Extra Trees and Random Forest Regressors
Abstract: The Ethereum market is famous for its unpredictability and the possibility of significant profits, presenting both opportunities and obstacles for investors and stakeholders. Given the dynamic nature of this ecosystem, accurate prediction of Ethereum’s price movements is essential for informed decision-making. In this project, we propose an innovative approach that leverages ensemble learning techniques, specifically extra trees and random forest regressors, for Ethereum price prediction. By harnessing a diverse dataset …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 9–25 Read article
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Fake News and Hate Speech Detection Using Deep Learning
Abstract: Due to the potential for such content to hurt both people and society as a whole, the issue of identifying fake news and hate speech on internet platforms has grown in importance in recent years. This problem has shown great potential for resolution through deep learning, a specific area of machine learning. In this research work, we examine recent studies on the application of deep learning methods for the identification …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 15–23 Read article
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Convolution Neural Network Model to Classify Photo Gallery on an Android Device
Abstract: The classification of images is a classic topic in the domains of image processing, computer vision, and machine learning. Convolution Neural Networks, a sort of deep learning that falls under the Machine Learning sub-domain, have been used in this model. This model was inspired by the problem that students experience at the end of the academic year is that their phones become cluttered with photos from various sources. The aim …
Published in International Journal of Analog Integrated Circuits · Vol. 8, Issue 1, 2022 · pp. 9–17 Read article
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Leveraging Prediction Strategies to Enhance Milk Quality and Promote Dairy Sustainability
Abstract: In the Dairy industry, ensuring high-quality milk production is vital. This research paper focuses on employing machine learning methods to predict milk quality based on diverse parameters including pH levels, temperature, fat content, and colour. By harnessing data encompassing these factors along with established quality markers, the study aims to construct a predictive model. This model seeks to anticipate variations in milk quality, providing insights into potential fluctuations in fat …
Published in International Journal of Green Chemistry · Vol. 9, Issue 2, 2023 · pp. 38–47 Read article
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A Review on Surface Error Compensation in Thin-Walled Component Machining
Abstract: *Author for CorrespondenceManikandan HareendranE-mail: [email protected] 1,4,5,6Associate Professor, Department of Mechanical Engineering, Mangalam College of Engineering (APJAKTU), Kottayam, Kerala, India2,3Assistant Professor, Department of Mechanical Engineering, Mangalam College of Engineering (APJAKTU), Kottayam, Kerala, India7Professor, Department of Mechanical Engineering, Mangalam College of Engineering (APJAKTU), Kottayam, Kerala, India Received Date: November 12, 2024Accepted Date: November 14, 2024Published Date: November 22, 2024 Citation: Rajeeve K. Mohana, Santhu Varghese Thomas, Rahul Krishnan, Johan George Cherian, Navish …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article
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Blood Cell Subtype Classification Using Deep Learning
Abstract: A vital component of human bodies is blood. Despite making up only 1% of the human body, blood cells have a greater impact on disease and infection detection. These blood cell subtype classifications also aid in ensuring that patients receive the quickest-acting medical treatment and recover swiftly. To get the findings, many machine learning techniques are used, including the Feature Extraction methods (K* classifier and Decision table) and the Image …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 37–45 Read article