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298 articles for “multi-class classification”
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A Retrospective Study to Assess the Incidence of Anaemia Among Pregnant Women Admitted in a Tertiary Care Centre, Jalandhar, Punjab
Abstract: Background:Anemia during pregnancy is a common and preventable condition that contributes significantly to adverse maternal and neonatal outcomes, including preterm delivery, low birth weight, and increased maternal morbidity. Despite the implementation of various national health programs in India, the burden of anemia among pregnant women remains high, particularly in rural regions. Objective: To assess the incidence and severity of anemia among pregnant women admitted to a tertiary care center in …
Published in International Journal of Women's Health Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 38–42 Read article
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Integrated Remote Sensing Indices for Assessing Pre-Monsoon Water Scarcity Vulnerability in a Semi-Arid Coastal Ecosystem: A Case Study of Barda Wildlife Sanctuary, Gujarat, India
Abstract: Freshwater availability fundamentally shapes the structure and function of dryland ecosystems, where evapotranspiration exceeds precipitation for most of the year. Protected areas in semiarid regions face intensifying hydrological stress from climate variability, growing wildlife populations, and resident human communities, yet systematic spatial assessments of water scarcity remain scarce for many critical habitats. The Barda Wildlife Sanctuary in coastal Gujarat, India, has recently become a secondary home for the endangered Asiatic …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Photochemical Detoxification of Arsenic- and Mercury-Contaminated Soils: Geochemical Mechanisms and Pathways
Abstract: This study evaluates the geochemical aspects of soil detoxification in areas contaminated with arsenic (As) and mercury (Hg), emphasizing sustainable strategies for improving soil health and ensuring safe crop production. The research provides an ecological and toxicological assessment of regional soils and classifies them base on the concentration and mobility of toxic elements. Although the current levels of As and Hg do not yet present a critical risk to agricultural …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 1, 2026 · pp. 06–10 Read article
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Comparative Study of BERT Variants for Sentiment Analysis with Error Analysis
Abstract: The use of media is going up fast in India, and this has led to the rise of Hinglish. Hinglish is an informal blend of Hindi and English that people commonly use in everyday conversations, especially across social media platforms such as Twitter, Facebook, and WhatsApp. People use Hinglish to talk to each other in a way that is not very formal. Hinglish blends English vocabulary with informal usage, often …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 39–48 Read article
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Aerodynamic Effects of Wind on Multi-Story Structures: A Height- and Terrain-Based Analysis
Abstract: Wind loads are a critical consideration in the structural design of buildings, with direct implications for safety and serviceability. This study investigates the aerodynamic behavior of reinforced cement concrete (RCC) buildings under varying heights and terrain conditions, in accordance with IS: 875 (Part 3): 2015. 12 structural models representing 20 m, 35 m, and 50 m tall buildings were analyzed using extended three-dimensional analysis of building system (ETABS) across four …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 3, 2025 · pp. 1–14 Read article
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Multi-Layer Perceptron Neural Network Based Person Identification Using Appearance Based Facial Feature
Abstract: This paper deals with secure person identification system using Back-Propagation learning neural network algorithm where appearance based facial feature and Principal Component Analysis based dimensionality reduction technique have been used. To extract the appearance based facial features, Viola-Jones method has used as a face detector, Stam’s method of Active Shape Model has applied for detecting the facial edges and image pre-processing method has used for eliminating the background noises. For …
Published in Current Trends in Signal Processing · Vol. 4, Issue 1, 2014 · pp. 26–34 Read article
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Natural Language Processing in Everyday Applications: From Classrooms to Clinics
Abstract: Natural Language Processing (NLP) is transforming everyday sectors like healthcare and education by creating new opportunities for efficiency, accessibility, and early intervention. This paper investigates the function of natural language processing (NLP) in computer education. Tools like automated grading systems, intelligent tutoring assistants, and multilingual translation platforms are revolutionizing traditional teaching methods. Despite its benefits, adoption is still being slowed down by problems like data privacy, integration with education, and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 Read article
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Recent Advances in Crystalline Materials
Abstract: Crystalline materials are solids in which atoms, ions, or molecules are arranged in a highly ordered, repeating three-dimensional lattice. This well-defined structure gives rise to unique physical, chemical, electrical, optical, thermal, and mechanical properties, making crystalline materials essential for numerous scientific and industrial applications. Advances in materials science, crystal engineering, and nanotechnology have enabled precise control over crystal size, morphology, composition, and defect structures through innovative synthesis techniques. These developments …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 2, 2026 · pp. 14–21 Read article
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Blockchain Technology: Challenges and Opportunities
Abstract: Blockchain is a revolutionary digital, distributed network technology which has the power to replace third party trusted with mathematical concept and algorithms. It is considered as a change in every aspect in the life of humans. It is basically the peer-to-peer connection within a decentralized database. Blockchain provides us with the features of security, privacy, accessibility as well as immutability. Blockchains are mostly used for registering transactions, authenticating and validating …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 1, 2025 · pp. 21–30 Read article
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People Perspective about Evolving, Brains of Givers or Takers!
Abstract: The psychobiologist’s classification of left brained and right brained people advices how the stimulus may be designed for ensuring the growth of each type, or, as to how each may be taught or what vocation be prescribed for them. Viz. the right brained people were seen to venture more into artistic pursuits and being less analytical might face learning problems. On the other hand the left or digital brained people …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 6, Issue 3, 2016 · pp. 24–32 Read article
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VolleyNexis AI: A Multimodal Artificial Intelligence Framework for Opponent Strategy Prediction, Tactical Intelligence, and Athlete Performance Optimization in Volleyball
Abstract: The rapid advancement of Artificial Intelligence (AI) has profoundly transformed sports analytics, enabling deeper insights, real-time data analysis, and enhanced performance predictions. Noticeable results have been seen by enabling automated analysis of complex gameplay patterns along with athlete performance. Volleyball is a dynamic and strategic sport, which requires continuous tactical adjustments and constant monitoring of the player’s performance. This paper presents VolleyNexis AI, which is a multimodal artificial intelligence framework …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 2, 2025 Read article
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Texture Segmentation Using Multichannel Filtering And Kohonen’s Self Organizing Map
Abstract: The texture is very important cue in region based segmentation of images. Texture features play a very important role in computer vision and pattern recognition. Texture segmentation can be broken down into two areas, feature extraction and clustering. In this paper, we implement two stage of feature extraction technique using multichannel filter and Self Organizing Map (SOM). Firstly, we go through channel filters, also known as 2-D Gabor functions. The …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 3, Issue 3, 2012 · pp. 17–30 Read article
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Delineating Zones of Groundwater Recharging Potential using Geospatial Techniques Integrated with GRA-TOPSIS - A Case Study of Wassa West District of the Republic of Ghana
Abstract: Identifying and analyzing environmental parameters for assessing groundwater existence and recharge potential using geospatial techniques is crucial and cost effective, particularly for areas where surface water is contamination due to illegal mining activities. In this study, GIS and Multi-criteria decision analysis tool, GRA-TOPSIS, were used to identify groundwater recharge zones in the Wassa West District of Ghana. The study considered geo-environmental factors such as slope, soil types and lithology, land …
Published in Research & Reviews : Journal of Physics · Vol. 12, Issue 2, 2023 Read article
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A Review on Artificial Intelligence Techniques for Analyzing Deforestation and Illegal Logging Using Satellite Imagery
Abstract: Deforestation and illegal logging remain critical environmental threats, driving biodiversity loss, climate change, and socio-economic disruption. Conventional monitoring techniques frequently do not yield real-time, large-scale insights. Recent developments in Artificial Intelligence (AI), especially in deep learning and computer vision, have revolutionized the ability to analyze high-resolution satellite images for detecting deforestation and monitoring illegal logging. This review synthesizes recent developments in AI-driven approaches, highlighting convolutional neural networks (CNNs), anomaly detection …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 1–9 Read article
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Face Recognition using Genetic Algorithm with Self-Organizing Mapping based Dimensionality Reduction Technique
Abstract: The contribution of this work is to develop a face recognition technique where Genetic Algorithm has been used. Here facial features are extracted using Active Appearance Model (AAM) and Kohonen Self-Organizing Mapping (SOM) technique has applied to reduce the dimension of the extracted features. Efficient image pre-processing techniques are used to prepare the face for the proposed system. Finally, Genetic Algorithm has been used to classify the facial features. In …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 2, Issue 1, 2015 · pp. 22–26 Read article
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Self-Learning SIEM System Using Association Rule Mining
Abstract: The rise of new security threats similar to polymorphic multi-step attacks, have made security something just more than perimeter defence, IDS/IPS, Firewalls, Anti-virus etc. Although, security techniques have evolved a lot, so have the attacks. Hence, a comprehensive solution is required wherein all the sensory controls can work in coherence. In this paper, we intend to propose a SIEM system with the self-learning capability which can produce optimized and efficient …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 10–23 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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Unresolved and misdiagnosed of floating sensation in young man
Abstract: Persistent Postural-Perceptual Dizziness (PPPD) stands out as a prevalent peripheral vestibular disorder, earning its recognition in the International Classification of Vestibular Disorders in 2017. Characterized by chronicity, this condition manifests symptoms persisting for more than three months, encompassing a disconcerting array such as a floating sensation, unsteadiness, and dizziness. Notably, individuals afflicted with PPPD often report symptom exacerbation following prolonged standing, self-initiated motion, or exposure to dynamic visual stimuli. This …
Published in International Journal of Brain Sciences · Vol. 1, Issue 1, 2024 · pp. 1–4 Read article
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Self-Healing Polymer Nanocomposites: A Comprehensive Review of Design Strategies, Mechanisms, and Emerging Applications
Abstract: Self-healing polymer nanocomposites (SHPNs) are a new class of materials that can autonomously repair themselves to prolong their lifetime and improve their application performance. Herein, we provide a comprehensive overview of the design strategies, healing mechanisms, and emerging applications of SHPNs. Incorporating nanofillers (nanoparticles, nanofibers, and/or nanotubes) into polymer matrices leads to requisite functionalization that significantly enhances mechanical properties and is essential in self-healable products including improved cross-linking, high dispersion, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 281–293 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