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137 articles for “severity classification”
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Managing Chronic Diseases: Diabetes Mellitus
Abstract: Diabetes mellitus is one of the most prevalent chronic non-communicable diseases worldwide and represents a major public health challenge due to its long-term complications, increasing prevalence, and economic burden on individuals and healthcare systems. It is distinguished by chronic hyperglycemia brought on by deficiencies in either insulin action or secretion, or both. Diabetes causes increasing harm to several organ systems, including the kidneys, eyes, neurological system, and cardiovascular system, if …
Published in International Journal of Antibiotics · Vol. 3, Issue 2, 2026 Read article
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Flooding of Urban Drainage Systems: Risk Analysis Study
Abstract: Floods are considered as to be among the most severe natural disasters because of their unpredictability, their overwhelming power and the difficulty to assess the related risks. Consequently, flooding damage is inevitable. This paper focuses on the identification of potential flood hazards in urban drainage systems. The flooding causes and modes are analyzed by two main methods: fault tree and event tree. The frequencies of natural events and operational obstacles …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 3, 2019 · pp. 1–5 Read article
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Evaluation of Industry 4.0 Adoption Obstacles Through the Use of SMEs
Abstract: Industry 4.0 offers significant technology advancements, but businesses must overcome several obstacles before implementing it. Although a lot of work has gone into identifying the hurdles that most businesses face, the literature currently in publication has not taken the time to examine how these barriers relate to one another or what that means for practitioners. Within the framework of Portugal's manufacturing sector, we employ the interpretative structural modelling (ISM) technique …
Published in Journal of Production Research & Management · Vol. 13, Issue 3, 2023 · pp. 24–38 Read article
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Management of Dadrukushtha (Tinea infection) Through Ayurveda in a Child: A Case Report.
Abstract: All the skin diseases in Ayurveda have been classified under the broad heading of Mahakushtha and Kshudrakushtha. Dadru (skin disease having circular patches) is one amongst them. It is Raktapradoshajavyadhi (diseases caused by channels carrying blood tissue) having Kapha, Pitta dominance. In Ayurveda, Shodhana (purification by elimination of Dosha) and Shamana (pharmacotherapy) treatment is mainly indicated for Kushtha (skin disease). A one-year-old female child was brought by her grandmother with …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 10, Issue 3, 2023 · pp. 1–5 Read article
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Millets as a Sustainable Crop for Nutritional Security: Addressing Malnutrition Challenges
Abstract: Millets are cereal crops belonging to the Poaceae family, which is the scientific name for the grass family. They are classified into two main groups: major millets which include Sorghum, Pearl, Finger millet, and minor millets, such as Little, Foxtail, Proso, Barnyard, and Kodo millet. India is the chief producer of millets, with an annual production of more than 17 million tonnes. This accounts for 80% of Asia’s millet production …
Published in International Journal of Nutritions · Vol. 2, Issue 1, 2025 · pp. 33–46 Read article
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A Critical Appraisal of Bhagna (Fracture) and Its Management in Ancient Indian Surgery
Abstract: AbstractFractures are one of the common surgical conditions in the orthopedics and many of the new techniques are developed for the management as per the condition. In ancient Indian surgery Acharya Sushruta described extensively in Sushrutasamhita Nidana and Chikitstastans about fracture, its etiology, classifications and various modalities of management and also termed this condition as Bhagna. In ancient times, Bhagnas were commonly seen in wars or violent attacks by wild …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 3, Issue 1, 2014 · pp. 52–61 Read article
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Laser Beam Machining Techniques and Applications: A Review
Abstract: Laser beam machining (LBM) is the most common thermal energy-based non-contact, non-conventional machining process. The non-conventional manufacturing processes are used to remove extra material using a variety of mechanical, thermal, electrical, chemical, or combinations of these energies without the use of sharp cutting tools as is required for conventional manufacturing. With innovative approaches to manufacturing processes, it has transformed a number of industries. It is frequently used to machine a …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 28–35 Read article
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Retinal Disease Detection Using Deep CNN
Abstract: Age-related macular degeneration, glaucoma, and diabetic retinopathy are the three main causes of blindness in the globe. To avoid visual loss, early identification and treatment of these disorders are essential. The goal of this research is to create an automated method for detecting retinal diseases by analyzing retinal fundus pictures with machine learning techniques. Python and the Tkinter package for the graphical user interface are used in the construction of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 46–50 Read article
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Predicting Eye Blindness by Detecting Exudates in the Retina of Human Eye
Abstract: Diabetic retinopathy is a condition where a person suffering from diabetes starts to loosen his vision slowly as the severity of the disease increases gradually. We can diagnose this condition by the fundus image of the retina of the human eye; although it is very complicated for doctors to predict the conditions just by seeing the fundus images. By detecting diabetic retinopathy at the earliest, we can protect patients from …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 17–23 Read article
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Efficient Malware Detection in Cybersecurity: Leveraging Advanced Data Structures for Enhanced Threat Identification
Abstract: The cybersecurity landscape is constantly changing with more advanced malware creating major challenges for detection systems. To address these challenges effectively, advanced data structures have become essential in optimizing how data is managed, processed, and analyzed for malware detection. This review paper delves into the role of several cutting-edge data structures—bloom filters, tries, hash tables, graphs, decision trees, and suffix trees—in enhancing the efficiency and accuracy of malware detection mechanisms. …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 32–40 Read article
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Unveiling Actionable Pathogenic Genes for Precision Oncology in Brain Cancers: Glioblastoma and Astrocytoma
Abstract: Glioblastoma (GBM) and astrocytoma are aggressive primary brain tumors characterized by significant molecular heterogeneity, complicating effective treatment. This study employed targeted next-generation sequencing of 529 cancer-associated genes on matched tumor-normal pairs from GBM and astrocytoma patients. Somatic variants were identified using a rigorous bioinformatic pipeline adhering to GATK Best Practices, with variant allele frequencies (VAF) calculated to assess clonal dominance. Functional annotation and driver mutation classification were performed using Ensemble …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 43–59 Read article
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A Survey on Deep Learning based Detection of Abnormal Human Behaviour using Computer Vision Human Activity Recognition System
Abstract: Abnormal Human activity recognition (Abnormal HAR) systems are very popular among researchers nowadays, they attempt to identify and analyze human activities using acquired information from sensors. Several papers have already been published in the abnormal HAR topics, the technologies in this field have multidisciplinary nature. They need constant updates. Our literature survey divided the approaches into three categories, the first one is about wearable sensor-based approach, the second one is …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 3, 2021 · pp. 32–41 Read article
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Preparation, Categorization and Anticancer Study of Novel Bicyclic Compounds from Various Types for (Five and Six)- Membered Ring
Abstract: The characteristics of ring systems change in the presence of functional groups, but in some cases, elements that are considered functional groups can be classified within the same ring. Compounds that contain only carbon and hydrogen are called homogeneous rings, while those that contain other elements are called heterogeneous rings. The atom substituted in place of the carbon atom is referred to as a heteroatom. Generally, the heterocyclic atom is …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 3, 2025 · pp. 18–30 Read article
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Facial Emotion Detection and Its Applications
Abstract: Facial emotion detection (FED) is an interdisciplinary field that integrates artificial intelligence, computer vision, and machine learning to recognize and interpret human emotions based on facial expressions. The development of FED systems has been propelled by advancements in deep learning, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which enhance recognition accuracy. Feature extraction techniques, including geometric and appearance-based methods, play a crucial role in classifying emotional states. …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 8–12 Read article
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Fourier Transform and Optical Analogy of the Sharply Pulsed E.P. Seismic Signals Propagating Through The Core of Earth
Abstract: AbstractLike light rays that encounter a water surface, seismic rays are governed by the laws of reflection and refraction. Eventually, there exist wave properties within these. Due to rigorous BIS (breakdown of integrated system) processes, severe consequences like earthquakes occur. The waves that are generated in an earthquake down into the interior of the earth are called earthquake waves or seismic waves. In the present paper, the author will consider …
Published in Trends in Opto-electro & Optical Communication · Vol. 5, Issue 1, 2015 · pp. 9–12 Read article
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An Approach towards in Management of Chronic Kidney Disease
Abstract: The current international guidelines define and classify the chronic kidney disease (CKD) as decreased kidney function shown by decreased glomerular filtration rate (GFR). Glomerular filtration rate of 60 ml/min/1.73 m 2 for at least 3 months is a marker for kidney damage. The underlying causes for chronic kidney disease are proteinuria and hypertension. It is the main cause of CKD in many high-, middle- and low-income countries. In different countries, …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 12, Issue 1, 2025 · pp. 9–15 Read article
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Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 · pp. 22–36 Read article
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Estimation of Ground Water Quality for Impact Assessment of Fluoride Content on Human Being in Bagalkot Taluk of Bagalkot District, Karnataka
Abstract: The chemical parameters of groundwater play a significant role in classifying and assessing water quality. The main objective of the present research work is to discuss the major ion chemistry of groundwater of Bagalkot taluk and further investigating the impact of fluoride content on human being by drinking ground water in selected 41 villages and one urban center of Bagalkot taluk. For assessment of water quality collected from the randomly …
Published in Journal of Water Resource Engineering and Management · Vol. 3, Issue 2, 2016 · pp. 1–16 Read article
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Performance Analysis of Deep CNN Architectures
Abstract: A Convolutional Neural Network (CNN) is an artificial neural network renowned for its remarkable ability to handle large image datasets effectively, particularly excelling in tasks such as image recognition and classification. The fundamental structure of a CNN relies on mathematical convolution operations, comprising essential components such as convolutional layers, activation functions, pooling layers, and fully connected layers. These components work synergistically to extract and learn hierarchical features from input data, …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Baggage Detection and Recognition Using Local Tri-Directional Pattern
Abstract: Nowadays, pattern-based image retrieval algorithms are gaining popularity just because of their uniqueness. There are several issues in the previously proposed systems. The proposed system resolves issues highlighted in the literature. Our proposed system is tested on two image datasets ILIDS and PETS 2006. LTDP provides good results as compared to LBP in baggage detection on two classes that either bag is present or not in an image because LTDP …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 1, 2023 · pp. 8–17 Read article