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137 articles for “severity classification”
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Optimizing Sentiment Analysis with Naïve Bayes and Random Forest Techniques: A Result-based Approach
Abstract: In the increased digitalization, the sentiment analysis and classification have evolved as an eminent area to determine the polarity of positive, negative, and neutral reviews of the customers and users on products. It is an integral application field that employs supervised learning, Machine Learning, and Natural Language Processing concepts. The proposed Semantic Analysis and Classification using Naive Bayes and Random Forest system accomplishes the sentiment polarity by classifying the user …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 46–57 Read article
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Detection and Classification of Alzheimer’s Disease Using Deep Learning Technique
Abstract: It is crucial that people with Alzheimer's disease (AD) receive a proper diagnosis to begin preventative action before irreparable brain damage develops. Most people who suffer from Alzheimer's disease (AD), a neurological condition that progresses, are older than 65. The area of interest (ROI) in the hippocampus has been extensively studied for several purposes, including neurological illness research, stress development monitoring, and memory function analysis. Moreover, a connection between Alzheimer's …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 15–20 Read article
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Anatomical Study of Asthi vaha srotas & Clinical Study of Asthi Kshaya w.s.r to “Osteoporosis”
Abstract: AbstractAyurveda is a life science. The researchers of Ayurveda could rule out the presence of srotas spreading throughout the human body. These srotas are governed by vayu which is using all the srotas of the body to carry out all the activity of human body, without which the human society will not exist. Several synonymous words have been described by the Ayurvedacharyas for srotas. The aim of the study was …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 5, Issue 1, 2018 · pp. 15–20 Read article
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A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
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Transforming Hospital Environments: The Role of Sound Detection
Abstract: Hospitals are sanctuaries of healing, yet they are often paradoxically exposed to a pervasive, often underestimated threat: excessive noise. While internal hospital sounds pose their own challenges, the impact of external sounds – traffic, construction, sirens, and urban clamor – can profoundly compromise patient safety, recovery, and overall well-being. This article explores the critical role of advanced sound detection systems in mitigating this external acoustic intrusion, leveraging technology to create …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 1, 2026 · pp. 28–40 Read article
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The Acute Toxicological Effects of Paraquat on Male Reproductive Hormones (Testosterone, Luteinizing Hormone and Follicle Stimulating Hormone) of Intoxicated Rats
Abstract: Paraquat (PQ) a contact herbicide widely used to control weeds in agricultural, recreational, or industrial sites has been linked in various studies as a contributory agent to high male infertility in regions of most use. The current study investigated the acute toxicity effect of PQ administered intraperitoneal (ip.) on reproductive hormones; luteinizing hormone (LH), follicle stimulating hormone (FSH) and testosterone (Te) of male rats. 24 rats, grouped four per group …
Published in Research and Reviews: A Journal of Toxicology · Vol. 5, Issue 3, 2015 · pp. 13–16 Read article
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Feature Extraction and Analysis of Bearing Faults: A Review
Abstract: One of the most important steps in identifying bearing problems is feature extraction. In order to provide a more meaningful dataset, it entails locating and extracting pertinent features from raw bearing vibration signals. Tasks involving categorization and prediction can then make use of these attributes. In many practical applications, such as monitoring rotating machinery or electronic components, the raw signals collected (e.g., vibration, current, temperature) are often complex, high-dimensional, and …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 20–28 Read article
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Green Hydrogen Revolution: Technological Developments and Environmental Evaluations
Abstract: As a major fuel source for the future, hydrogen energy has received great support from the public, government, and business community. Two significant barriers to cleaning hydrogen commercialization are the high cost of production and the slow expansion of the infrastructure. Numerous hydrogen production techniques are classified using color codes; the most popular option is green hydrogen, which is produced using sustainable resources like solar and wind energy. Green hydrogen …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 37–44 Read article
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A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection
Abstract: Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high. Traditional screening processes are subjective and vulnerable to inter-observer reliability issues and diagnostic errors, being primarily based on manual interpretation of medical images. To address these limitations, Deep Learning (DL) …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–34 Read article
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CNN-Based Diagnosis of Skin Cancer from Dermoscopic Images
Abstract: Skin cancer has become one of the diseases widely spread over the globe, with melanoma becoming a severe threat to one’s health. Detection of such diseases at the initial stage saves an individual from drastic damage. Using a Convolutional Neural Network (CNN) for detecting skin cancer through image classification as benign or malignant provides significant support to dermatological practice and reduces dependence solely on subjective visual examination. Dermatologists often face …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 37–42 Read article
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Study of Lipid Profile and Its Correlation with Coronary Angiogram Finding in a Tertiary Care Hospital in an Urban Setting
Abstract: Coronary artery disease (CAD) is a major global health concern caused by the constriction or blockage of the coronary arteries, which can result in serious cardiovascular events. This study looks at the relationship between lipid profiles and the severity of CAD as measured by coronary angiography in patients in a tertiary care hospital. The study focuses on dyslipidemia as a major risk factor for CAD, emphasizing the importance of efficient …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 106–118 Read article
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Alzheimer’s Disease Classification Based on Transfer Learning of New-CNN Model
Abstract: The long-term, irreversible brain disorder “Alzheimer’s disease (AD)” currently has no known cure. Nonetheless, current medications may impede their advancement. Globally, those over 65 are the primary population affected by Alzheimer’s disease. Accurate detection of this condition requires early diagnosis. Because there are so many people who come with an ailment, manual diagnosis by health specialists is laborious and prone to error. Early detection of AD is a difficult undertaking …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 16–23 Read article
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Advances in Polymer-Modified Concrete using XAI
Abstract: Industry 4.0 technologies are being quickly adopted by the construction sector, opening new avenues for enduring operational and environmental issues. This sector looks at how explainable AI can forecast air and enhance the quality of building materials. XAI, AI, ML, and big data drive a new paradigm in polymeric material development. The effective XAI and ML-assisted design creates innovative, high-performance polymeric materials. It covers building a database and representing structures, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 133–144 Read article
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Congenital Heart Disease (CHD) Detection Technique Based on Analysis and Classification of ECG Signal
Abstract: As per American Heart Association information, every year 125 babies out of 1000 are born with congenital heart disease (CHD). It was estimated that 36000 children are live born with CHD each year in the European Union. Child with CHD may have hole in heart up to 3–5 mm as small defects and for large defects it may go up to 5–8 mm. Depending upon the size of hole in …
Published in Current Trends in Signal Processing · Vol. 6, Issue 3, 2016 · pp. 29–27 Read article
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EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Worldwide Threatening Sign-Antibiotic Resistance its Prevention and Control
Abstract: Antimicrobial agents play a key role in controlling and curing infectious diseases in different fields of medical. Transitorily after the sighting of various groups of antibiotics and the use of antibiotics has increased globally, the challenge of antibiotic resistance has come into the picture worldwide on a very serious note. Based on the mechanism of action of antibiotics they are broadly classified as: Bactericidal and bacteriostatic. Antibiotics are a very …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 13, Issue 2, 2023 · pp. 34–38 Read article
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A Review of Single-Phase Grid Connected Transformerless Solar PV Inverter Topology
Abstract: Abstract: Owing to low cost and system compactness, transformerless inverters became popular in single-phase grid connected photovoltaic (PV) systems. Improvement of conversion efficiency, reduction in distortion of the grid current and minimizing common mode leakage current are the major concerns in these inverters. The purpose of this paper is to review on various transformerless solar PV inverters. In this paper, the single-phase inverters are classified into two major categories: 1) …
Published in Journal of Electronic Design Technology · Vol. 10, Issue 1, 2019 · pp. 1–7 Read article
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AI-Powered Traffic Management System
Abstract: An artificial intelligence (AI)-based traffic management system is an innovative and intelligent project for improving urban traffic control and emergency response using AI and artificial vision. With the rapid increase in vehicle numbers and urban populations, traditional traffic management systems are unable to effectively address all real-time traffic situations due to congestion, fuel consumption, and emergency deceleration. To address these limitations, this project utilizes the YOLOv8 (You Only Look Once, …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 14–19 Read article
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Classification of Plant Leaf Diseases Using Deep Learning Concepts
Abstract: Agriculture is vital to the economy of a country like India, where 70% of the workforce is employed in this sector. Plants suffering from illnesses experience a significant reduction in output. Delays in the identification of plant diseases lead to decreased yield and plant mortality. The cost of manufacturing is increased since it takes a big number of experts to manually detect plant diseases over several acres of land. The …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 46–55 Read article
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Strategy for Improving Software Maintenance Using Machine Learning for Security Requirements: A Review
Abstract: Within the area of software technical education, the significance of software defect discovery has increased as a research focus to enhance program reliability. By maximizing testing resources and assisting developers in identifying potential problems using program defect predictions, program dependability is increased. Applying software engineering (SE) techniques to critical and intricate systems, like networking and security systems, is imperative. Traditional methods of predicting software maintainability have limitations, particularly in balancing …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 36–48 Read article