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279 articles for “classifiers”
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A Comprehensive Review on Monkeypox Infection
Abstract: Monkeypox represents a zoonotic viral affliction instigated by the monkeypox virus, which is classified within the Poxviridae family and is distinct from the virus that causes chickenpox. Initially recognized in 1958, this infection has recently attracted international scrutiny due to its escalating incidence beyond traditional endemic territories. This review delivers an exhaustive examination of monkeypox, encompassing its epidemiology, viral morphology, modes of transmission, pathogenesis, clinical presentations, and therapeutic interventions. The …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 23–32 Read article
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Identifying and Blocking of Non-productive Calls in Emergency Call System Using Machine Learning and IVRS Integration
Abstract: The Dial 100 emergency reaction gadget handles over 1,000,000 calls every day, with over 95% being unproductive, such as blank, machine-generated, and spoofed calls. These futile calls waste resources and put off responses to actual emergencies. This look presents a comprehensive solution integrating advanced name evaluation, system learning, and an interactive voice response system (IVRS) to filter out and prevent these calls. Our technique starts with studying incoming calls to …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 20–28 Read article
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Literature Review and Discussion of Machine Learning Algorithms for Predicting Chronic Kidney Disease
Abstract: Being one of the most serious and most occurring diseases in our era, chronic kidney disease requires a fast and correct diagnosis. The usage of machine learning in medicine has now grown to such a level that it could be a means of diagnosis. The doctor can be the first one to get the ailment by using machine learning classifier algorithms. This has been the data science sector’s new horizons, …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 34–39 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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Diabetes Prediction Using ML Techniques
Abstract: Diabetes mellitus, commonly referred to as diabetes, denotes a cluster of prevalent endocrine disorders characterized by persistent elevated levels of blood sugar. Diabetes is classified into two main types: type 1 and type 2. Type 1 diabetes arises when the body is unable to produce insulin, while type 2 diabetes involves either insulin resistance or insufficient insulin production. Early detection and intervention are essential to reduce its harmful impacts. The …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Prevention of Primary Hypertension Through Asbab-e-Sitta Zaruriya: A Therapeutic Paradigm
Abstract: Hypertension, defined as blood pressure elevation to a level that increases the risk of organ damage, Recent guidelines classify hypertension as systolic blood pressure ≥130 mmHg or diastolic blood pressure ≥80 mmHg, distinguishing between primary (essential) and secondary forms. It affects over one billion individuals globally and contributes to approximately 9.4 million deaths annually. Nearly 63% of total deaths in India are due to non-communicable diseases, of which 27% are …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 11, Issue 3, 2024 · pp. 13–20 Read article
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Understanding Trichotillomania: Exploring and Managing Hair-Pulling Disorder
Abstract: One form of traumatic alopecia is called trichotillomania, which is characterized by an overwhelming impulse to take out hair and a feeling of comfort once the hair has been removed. Alopecia in trichotillomania results from the patient’s deliberate act of pulling out their own hair, often triggered by feelings of stress, tension, or psychological distress. This condition, classified as a mental health disorder, leads to noticeable hair loss that can …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 3, 2024 Read article
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Deep Analysis of the Banknote Identification and Counterfeit Detection
Abstract: The production of counterfeit paper currencies has become cheaper due to advancements in printing technologies and graphic design. The circulation of fake currencies negatively impacts a country’s economy. This paper aims to develop an intelligent system for detecting and categorizing counterfeit currencies, which also plays a significant role in the field of human–computer interaction (HCI). The paper delves into the history of counterfeit currencies and the development of techniques used …
Published in Journal Of Network security · Vol. 12, Issue 3, 2024 · pp. 13–17 Read article
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Machine Learning Innovations for Effective Spam Comment Filtering in Social Networks
Abstract: The increasing prevalence of social media platforms has revolutionized communication, fostering unparalleled levels of connectivity and data exchange. However, the widespread increase in spam comments presents a serious threat to the integrity of online discussions, potentially undermining the quality of interactions. To confront this issue, our proposed model utilizes machine learning techniques to bolster spam comment detection across various social media platforms. This endeavor involves a thorough investigation encompassing data …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 19–24 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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Casein - A Unique Milk Protein
Abstract: Milk is a nutrient-rich food that contains proteins, fats, lactose, vitamins, minerals, enzymes, and other organic compounds. Essential for young mammals, milk proteins provide amino acids, nitrogen, and minerals necessary for muscle and tissue development. In human nutrition, milk is valued for its digestibility and as a source of calcium and phosphorus, crucial for infant growth. Milk proteins are classified into two primary types: caseins, which make up 75–80% of …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 3, 2024 · pp. 27–34 Read article
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Geotechnical Influence Factors in Empirical Design of Highway Pavement: The A123 Ilorin – Lokoja Highway, Nigeria Case Studies
Abstract: Site investigation and application of geological and geotechnical influence factors on the highway were investigated. Method involved field sampling, geotechnical laboratory and x-ray diffraction analysis and use of SRTM extracted slope and drainage parameters; and their integration in a GIS based multi-criteria decision analysis to derive a subgrade suitability map as a design tool. The suitability criteria classified the highway into four (4) design sections. Section one for very low …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 3, 2024 · pp. 53–70 Read article
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Risk Assessment of Nitration Process Using HAZOP and Fault Tree
Abstract: The present study addresses the safety issues associated with the nitration reactions. Since the nitration reaction is highly exothermic in nature exhibiting intense heat during the operation and may explode if wrongly handled, the risk assessment of nitration reaction is absolutely necessary. In the present work, the production of Ortho Nitro Chloro Benzene (ONCB) and Para Nitro Chloro Benzene (PNCB) is considered to perform the risk assessment of the nitration …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 3, 2024 · pp. 18–23 Read article
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Disease X: Unveiling the Unknown Pathogen and Enhancing Global Preparedness
Abstract: “The concept of “Disease X” was introduced to drive the creation and refinement of versatile technologies such as vaccines, therapeutic drugs, and diagnostic tests, which could be swiftly adapted and utilized in response to future infectious disease outbreaks with epidemic or pandemic potential. The aim was to establish a proactive approach to emerging health threats by developing platform technologies capable of addressing a broad spectrum of potential pathogens. The COVID-19 …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 15–20 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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Hybrid Techniques in Mango Leaf Disease Identification: Evaluating Neural Networks and Support Vector Machines
Abstract: Mango leaf diseases pose a significant threat to mango production, impacting both yield and fruit quality. Early and accurate detection of these diseases is crucial for effective management. This paper evaluates the use of hybrid techniques, specifically the integration of neural networks (NNs) and support vector machines (SVM), in the identification and classification of mango leaf diseases. NN excel in extracting complex features from images, while SVMs are robust classifiers, …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 19–27 Read article
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Intelligent Waste Management through Automated Sorting for Enhanced Recycling and Sustainability
Abstract: Waste segregation promotes energy production from waste, landfill depletion, recycling, and waste reduction. Recycled materials become contaminated by waste that is disposed of inappropriately. Automated computerized trash sorting is one technique to help reduce contamination, a major problem for the recycling sector. The ability to come up with models or techniques that assist individuals in sorting waste has become crucial to properly disposing of it. Even with the wide variety …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 10–16 Read article
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Climate Change Including Forest Fire Prediction using Machine Learning and Deep Learning
Abstract: Climate change alludes to long haul shifts in temperatures and atmospheric conditions. These movements might be regular, for example, through varieties in the sun-oriented cycle. In any case, since the 1800s, human exercises have been the fundamental driver of climate change, basically because of consuming fossil fuels like coal, oil and gas. Many individuals think climate change mostly implies hotter temperatures. Be that as it may, the temperature climb is …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 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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The Heart of Charani Poetry: An AI Interpretation of Emotional Resonance
Abstract: Poetry has long been a means of expressing emotions and ideas, yet understanding the emotional depth within poems can be challenging using traditional computer-based tools. This study explores the emotions embedded in Charani poems, an important genre in Indian literature, through the lens of their distinctive poetic style. The primary objective is to develop a novel method of analyzing emotions in Charani poetry, contributing to the broader field of emotion …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 34–39 Read article