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137 articles for “severity classification”
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Intelligent Paradigms in Subsea Connectivity: A Comprehensive Review of Artificial Intelligence in Underwater Communications
Abstract: Underwater wireless communication (UWC) plays a critical role in ocean exploration, environmental monitoring, offshore energy operations, disaster management, and naval defense. However, the underwater environment presents significant communication challenges, including severe signal attenuation, multipath propagation, Doppler effects, limited bandwidth, high latency, and energy constraints. Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) have emerged as promising solutions to address these limitations and enhance the efficiency, reliability, and adaptability …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Revolutionizing Knee Osteoarthritis Diagnosis: Unleashing the Potential of Vision Transformers
Abstract: Osteoarthritis (OA) is the most common kind of arthritis. By analysing data from both sides of the knee joints, radiologists use the Kellgren–Lawrence (KL) grading system to determine the severity of osteoarthritis (OA). The need for knee arthroplasties has increased as a result of this. Recently, there have been proposals for computer-assisted techniques to improve the precision of OA diagnosis. Choosing between conservative and surgical treatment options for knee osteoarthritis …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 1, 2024 · pp. 24–31 Read article
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Novel Nanotherapeutics for the Management of Diabetes
Abstract: Diabetes is a severe chronic disorder with hyperglycemia, either due to dysfunctional pancreas(Type I) or due to malfunctioned glucose utilizing entities like: liver, straight muscle or adipocytes (Type II). Type 1 or Insulin-dependent/Juvenile diabetes and Type 2 Diabetes Mellitus or Non-Insulin dependent/Adult-onset diabetes are the two broad classifications of diabetes. In case of type 1 diabetes injectable insulin is the major form of medication given and in case of Type …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 1, 2024 · pp. 46–67 Read article
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Advancement in Image Classification: Media Player Control Using Hand Gestures
Abstract: We explore the development of picture categorization methods in this paper, with an emphasis on how they are used to manipulate media players with hand gestures. Our investigation focuses on the development of machine learning techniques, particularly on supporting vector machines (SVM) and convolutional neural networks (CNN). SVMs are used to identify and authenticate people from digital photos or video clips, but CNNs are great at face detection, which is …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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The Intelligibility in Context Scale in Tamil—Reliability and Validity Measures
Abstract: Objective: The Intelligibility in Context Scale (ICS) was originally developed by Sharynne McLeod, Linda J. Harrison and Jane McCormack in 2012. It is a 7 item parent-rated questionnaire designed to assess speech intelligibility in very young children using a quantitative score out of 5. It is intended to supplement other clinical measures of speech intelligibility in providing a comprehensive picture of the speech of children with several speech impairments (speech …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 8, Issue 3, 2019 · pp. 16–21 Read article
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A Brief Study on REM (Rapid Eye Movement)
Abstract: Human sleep is broadly classified into two groups: rapid eye movement (REM) and non-rapideye movement (NREM). According to the American Academy of Sleep Medicine (AASM) sleepscoring manual, NREM stage is further divided into N1, N2 and N3 stages with theprogression of sleep. The standard method of sleep analysis is known as polysomnography(PSG), where several physiological signals are acquired, visually analyzed by sleeptechnicians and scored into various stages. Manual analysis and …
Published in Trends in Electrical Engineering · Vol. 10, Issue 1, 2020 · pp. 1–6 Read article
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Role of Healthcare Management in Pandemic of COVID-19
Abstract: COVID-19 was first reported on December 19, 2019, in the city of Wuhan Hubei in China. It has since spread to more than 210 countries and regions. This severe acute respiratory syndrome is spread over by the coronavirus with trouble in breathing and flu-like symptoms. The disease caused by virus was called COVID-19. Over 2.2 million people worldwide have died. The United States is the most affected country with 0.7 …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 10, Issue 1, 2021 · pp. 1–6 Read article
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Analysis and Identification of Malicious Mobile Applications Using Machines Learning
Abstract: Over the past few years, malware attacks on the Android platform have surged, posing significant risks to users' financial security, personal information, and device integrity. In the first half of 2019 alone, approximately 25 million smartphones were infected, highlighting the severity of these threats. The model ranks manifest features based on their frequency in normal and malicious apps, identifying key components that distinguish benign from malicious applications. To improve detection …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 17–24 Read article
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Brinhaniya Dravyas Impact on Karshyata
Abstract: Karshya is a medical disorder that has an association to malnutrition. This illness causes a progressive emaciation of the body. Furthermore,it is an Apatarpanjanya Vyadhi. Karshya has been classified as having a nutritional deficiency among the eight purush (socially undesirable people)listed by Charaka. The main causes of Karshya include Rasa Dhatu, Rukshaannapan, Langhana, Promitasan, etc. Nitambshosh, Udarshosh,Grivashosh, Twacha evam asthimatra drishtigochar hona. Sira evam dhamaneejaal Drishtigochar hona and Daurbalya were …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 12, Issue 1, 2023 · pp. 8–13 Read article
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A Review of Different Polymer and Plasticizers
Abstract: Plasticizer and polymer are essential components in the pharmaceutical industry, especially when creating both cutting-edge and conventional drug delivery systems. The differences between synthetic, semi-synthetic, and all-natural polymers are examined in this review to highlight their diverse qualities and uses. When designing drug delivery systems to target areas, the choice of polymer is crucial. Because of their repeatability and adaptability, synthetic polymers are widely used in the creation of precision …
Published in International Journal of Membranes · Vol. 1, Issue 1, 2024 · pp. 1–7 Read article
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A Comprehensive Review of CNN-Based Framework for Multi-Sign Detection of Diabetic Retinopathy in Fundus Images Using Public Datasets
Abstract: Diabetic retinopathy (DR) is one of the main causes of vision impairment. Blindness prevention and effective treatment depend on early detection. A thorough deep learning-based framework for the automatic segmentation and simultaneous detection of exudates, hemorrhages, and microaneurysms – three important DR indicators – from retinal fundus images is presented in this work. These three pathological signs’ corresponding annotated image patches, along with background (no-sign) areas, were used to train …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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Investigation of Pollution Status in River No. 2, Freetown, Sierra Leone, Using Physicochemical and Bacterial Indicators
Abstract: This study assessed the physicochemical and bacteriological quality of surface water in the River No. 2 watershed, Sierra Leone, through monthly sampling from March–August 2024 at upstream, midstream, and downstream sites. Analyses included temperature, turbidity, pH, electrical conductivity, total dissolved solids, ammonia, fluoride, sulfite, nitrate, lead, arsenic, chromium, and microbial indicators (Escherichia coli, fecal and non-fecal coliforms). Most physicochemical parameters met WHO drinking-water guidelines. pH (7.0–7.3), TDS (7–17 mg/L), turbidity …
Published in International Journal of Pollution: Prevention & Control · Vol. 4, Issue 1, 2026 · pp. 11–27 Read article
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Stock Market Prediction Using Machine Learning: Techniques, Challenges, and Future Directions
Abstract: The continuous advancement of machine learning (ML) technologies has significantly transformed the field of financial forecasting, particularly in the area of stock market prediction. The ability to accurately forecast stock price movements and market trends plays a crucial role in supporting informed investment strategies and effective risk management. This paper provides a comprehensive review of recent developments in the application of ML techniques for predicting stock market behavior. It classifies …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 10–16 Read article
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Development of a Generative AI Model for Early Detection and Prevention of Electrical Faults in Thermal Power Plants
Abstract: Electrical faults in thermal power plants can lead to severe equipment damage, production downtime, and safety hazards if not detected in advance. This study presents the development of a Generative Artificial Intelligence (GenAI) model for the early detection and prevention of electrical faults using predictive analytics. The proposed framework integrates Generative Adversarial Networks (GANs) with deep learning (CNN) and machine learning algorithms (Random Forest, Logistic Regression) to enhance data diversity, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 45–54 Read article
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Prediction of Mobile Phone Price Using Machine Learning Classifiers
Abstract: One cannot imagine one's life without mobile phones; in today's digital era, mobile phones have become a necessity for everyone to fulfil their various demands like messaging, communication, entertainment, productivity, research, shopping and many more. In a thriving market of mobile phones where new smartphones are launched every year with new advanced features and various designs, determining the expense of a mobile can be a trouble-some tasks for consumers. In …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 101–108 Read article
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Securing Web Applications: A Machine Learning Approach for SQL Injection Threats
Abstract: The rapid evolution and widespread adoption of the internet have significantly transformed the world, leading to an increased number of cyberattacks. Cybersecurity has become one of the most critical challenges for society, incurring substantial financial losses annually. This research focuses on SQL injection attacks, the specific threat to web applications, aiming to detect malicious queries designed to exploit vulnerabilities and access sensitive data. In recent years, the frequency of SQLi …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 16–22 Read article
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Effective Ayurvedic Management of Dadru Kustha with Herbo- mineral Aushadhi yoga: A Single Case Study
Abstract: The skin, as the body's largest organ, is highly prone to various disorders due to its size and exposure to external factors. The majority of skin conditions are often the result of infections, including those caused by fungi or bacteria. In Ayurveda, skin diseases are grouped under the term 'Kustha' and are further categorized into MahaKustha and KshudraKustha. Among these, Dadru is a notable condition, classified as Raktapradoshaja Vikara, with …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 3, 2024 · pp. 26–31 Read article
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A Case Study on Ayurvedic Management of Psoriasis.
Abstract: Psoriasis is non-contagious, chronic autoimmune disease which causes inflammation and hyper-proliferation of the skin. It is characterized by erythematous plaques that are clearly defined and associated with severe itching and silvery scaling, especially on extensor surfaces, scalp and nails. At times, it may manifest as localized or generalised pustular eruption which usually follows relapses and remissions pattern. Psoriasis may lead to other autoimmune diseases like psoriatic arthritis. In Ayurveda, Variety …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 1, 2024 · pp. 18–22 Read article
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Origins of Several Foam Ample Forms in Materials Science
Abstract: Foam culture refers to the light weight philosophy for the additional subject released from appropriate specific performance in relation to the environment. Regular study has been done to actualize the subject required under ballistic strength of degeneration issues. The cases studied in this article were from polymer functional ceramic issues as well as originating flexible regions. Though, water-purification areas on the coast have origins Ni-nano that uses carbon-tubed analogs to …
Published in Journal of Materials & Metallurgical Engineering · Vol. 10, Issue 3, 2020 · pp. 32–36 Read article