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235 articles for “classification”
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Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 Read article
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A Machine Learning Framework for Fake News Detection Using Embeddings and Dimensionality Reduction
Abstract: The broad sharing of information throughout human history was greatly accelerated by the emergence of the World Wide Web and the swift rise of social networking platforms such as Facebook and Twitter. Due to the extensive use of social media, users now generate and distribute vast amounts of content at an unprecedented rate, and a portion of this information is inaccurate or detached from factual reality. Automatically classifying a written …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 8–14 Read article
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IoT-Based Fault Detection in Distribution Lines
Abstract: Quickly detecting and pinpointing failures in electrical distribution lines are important for shortening the duration of service interruption, reducing maintenance costs and increasing safety. In this work, we propose a realistic architecture for an Internet-of-Things (IoT)-enabled fault detection system designed for distribution networks. In order to continually assess electrical characteristics including voltage, current, frequency, temperature, and line status, the suggested architecture combines inexpensive, dispersed sensor nodes placed along feeders and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Integrating Cellular Automata for Predicting Urban Expansion: A Case Study of Bavdhan, Sus, and Mahalunge
Abstract: Rapid Urban Expansion in the metropolitan cities like Pune, result in indiscriminate land use changes transforming natural landscapes. Such haphazard spatial development poses a risk to depletions of resources along with the disarray of the ecological system. A proactive approach to predicting and analyzing such changes is necessary in promoting the well-managed growth of cities. For the complex nature of urban growth, simulation method is used for analyzing spatial patterns, …
Published in International Journal of Town Planning and Management · Vol. 12, Issue 1, 2026 · pp. 51–62 Read article
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A Case Study on Interstitial Lung Diseases (ILD)
Abstract: Interstitial lung diseases (ILDs) represent a diverse group of diffuse parenchymal lung disorders characterized by significant morbidity and mortality worldwide. Recent advances have led to the development of a new classification system for idiopathic interstitial pneumonias, dividing them into major, rare, and unclassified groups, with a novel approach based on disease behavior. Idiopathic pulmonary fibrosis (IPF) remains the most fatal ILD, demonstrating considerable clinical heterogeneity and poor prognosis. Early diagnosis …
Published in International Journal of Medical Surgical Nursing · Vol. 8, Issue 2, 2025 · pp. 13–20 Read article
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A Study to Assess the Level of Anemia Among Under Five Children Admitted in a Tertiary Care Teaching Hospital, Kuppam, Chittoor District, AP
Abstract: Background: Anemia, characterized by insufficient healthy red blood cells or hemoglobin, poses a significant global public health challenge, particularly affecting preschool-aged children. This condition can lead to tiredness, weakness, and shortness of breath, and in children, it adversely impacts mental, physical, and social development. Globally, a substantial proportion of preschool children suffer from anemia, with prevalence varying across regions. In India, anemia in children remains a major concern, with national …
Published in International Journal of Pediatric Nursing · Vol. 11, Issue 2, 2025 · pp. 20–25 Read article
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Comparison Analysis of Lumpy Skin Disease Detection System Using X-Ray Images of Animals with the Help of Deep Learning
Abstract: Lumpy Skin Disease (LSD), caused by the Capripoxvirus, is a highly contagious viral infection impacting cattle and other livestock, resulting in significant economic losses due to decreased productivity and mortality. Early detection is critical to mitigate its spread and reduce its impact on agriculture and dairy sectors. This study investigates the efficacy of deep learning methodologies for detecting LSD through X-ray images, offering a non-invasive diagnostic approach to identify internal …
Published in International Journal of Animal Biotechnology and Applications · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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Chemical Behavior and Characteristics as Related to Group V Elements in the Periodic Table and Their Electron Structures
Abstract: This research explores the interplay between electron structure and chemical behavior in Group V elements: nitrogen (N), phosphorus (P), arsenic (As), antimony (Sb), and bismuth (Bi). Nitrogen’s triple covalent bond relates to its stability and biological significance. Phosphorus’s versatile compounds benefit agriculture. Arsenic’s metalloid properties impact electronics. Antimony’s flame-retardant use highlights its versatility. Bismuth’s low toxicity and diamagnetism make it valuable in medicine and research. These elements showcase how electron …
Published in International Journal of Chemical Engineering and Processing · Vol. 10, Issue 2, 2024 · pp. 5–14 Read article
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Health Monitoring System for Fault Identification on Centrifugal Pump Using ML
Abstract: Centrifugal pumps are crucial equipment widely used in various industries, and their reliable operation is essential for maintaining production and preventing costly downtimes. This paper proposes a comprehensive health monitoring system for centrifugal pumps that combines model-driven and data- driven approaches, leveraging artificial intelligence (AI) and machine learning (ML) techniques. The system incorporates demand prediction using artificial neural networks and fault diagnosis employing different ML classifiers, such as decision trees …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 2, 2024 · pp. 1–12 Read article
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Steps involved in EEG Signal Analysis for Arm Movement
Abstract: This study delves into the intricacies of analyzing EEG signals associated with arm movement motor imagery. We explore established techniques across three key stages: data pre-processing, feature extraction, and classification for movement identification. By critically evaluating the strengths and weaknesses of each approach, we optimize the analysis pipeline for robust decoding of arm movement intent. This work empowers researchers and practitioners to transform raw EEG data into actionable insights, opening …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 1, 2024 · pp. 43–55 Read article
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Monitoring Urban Sprawl and Land-Use Change Detection with GIS and Remote Sensing Techniques in Latifabad Town Hyderabad, Pakistan
Abstract: Constant rapid urbanization is associated with the reduction of natural resources and the expansion of irregular and uncontrolled expansion, rapidly increased population, and increasing immigrants towards urban areas. In this paper, land-use change is considered the main component in monitoring urban growth. In the context of land-use change, the study analyzes the gap of sustain infrastructure; led towards the conversion of residential areas into commercial areas and subdivisions of various …
Published in International Journal of Town Planning and Management · Vol. 7, Issue 2, 2021 · pp. 41–51 Read article
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A Study of Salinity of ground water in some semi-arid tracts in Vadagam Taluka, Banaskantha District of Gujarat
Abstract: Because of the insufficiency of water resources and serious environment, it becomes much more mergence to develop the water saving agriculture The northern part of Gujarat state may be classified as a semi-arid region because most of the area receiving low rainfall. About fifty samples of ground water were collected from different tracts in Vadagam regions during pre-monsoon 2018, post-monsoon 2018 and pre-monsoon 2019 and tested for their EC and …
Published in International Journal of Analytical and Applied Chemistry · Vol. 6, Issue 1, 2020 · pp. 1–4 Read article
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Examination of Root Cause of Fuel Tanker Truck Accident in Nigeria: The Concept of Reliability of Non-Human Factor
Abstract: The non-human factor in terms of fuel tanker truck accident in some area of Nigeria was investigated to know the root cause as well the contributing factors and to project the way forward to mitigate the menace, because at the end human life are lost. This investigation was addressed by applying the concepts of reliability, probability and relative accident consequence, in which the mean time between accident, accident rate and …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 9, Issue 1, 2023 · pp. 1–10 Read article
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Satellite Image Processing Using Erdas Imagine
Abstract: Abstract Pictures are the most effective means of conveying information. A picture is worth a thousand words. Pictures in short convey data regarding positions, sizes and interrelationships between objects. People in general area unit sensible at explanation data from such pictures, thanks to our innate visual and mental skills. Regarding seventy fifth of the knowledge received by human is in pictorial kind. The paper describes the essential technological aspects of …
Published in International Journal of Distributed Computing and Technology · Vol. 1, Issue 1, 2015 · pp. 17–24 Read article
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System for Predicting and Recommending Placement on Campus
Abstract: The campus placement system uses classification algorithms like decision trees, random forests, support vector classifiers, and logistic regression to estimate the likelihood that an undergraduate student will be hired by a business. The placement prediction method assists in identifying students’ needs and the areas in which they fall short, allowing students to strengthen their profiles and increase their chances of being placed. The placement predictor uses a number of parameters …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 1, 2023 · pp. 18–25 Read article
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General Health Check-up, Health Care Model using CNN and Internet-of-Medical Things
Abstract: Many people may believe that undergoing a comprehensive medical check-up is unnecessary when they feel perfectly healthy. However, this perception is mistaken. Regular health check-ups are essential to maintain overall well-being and to detect potential health issues early, enabling proactive steps to prevent them from worsening. Such check-ups are valuable for both individuals in good health and those with existing medical conditions, as they provide insight into the progress of …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 2, 2023 · pp. 20–25 Read article
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Detection of Leaf Diseases Using Image Processing Techniques
Abstract: Agricultural field plays a vital role in the earning to feed ever growing population. The productivity of the crop depends on pest attack, disease, weather, etc. The disease in plants will affect the production of crops. Detecting diseases in plants through visualization is a traditional method which is not relevant. We are focusing on reliable, fast and accurate detection method that can be done using image processing techniques to monitor …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 2, 2019 · pp. 14–19 Read article
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Facial Image Analysis for Identification of Gender: A Machine Learning based Approach
Abstract: Facial biometrics for gender classification is known to significantly improve the efficiency of person identification in biometric access control models. It not only increases the speed but also improves the accuracy. It reduces the effort of finding a match for a face in the databases to almost a half. The process like any pattern recognition framework needs to extract the useful features. A novel gender identification algorithm is proposed which …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 23–29 Read article
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Detecting COVID_19 in X-ray images using artificial neural network
Abstract: In this paper, we propose a method for detecting COVID-19, which is most important for now days in lowering mortality rates. COVID-19 had a rapid impact on our daily lives, businesses, and global trade and transportation. Chest CT scans and CT x-rays reveal particular radiographic abnormalities in people with COVID-19 by means of faster and more efficient representation of the patient's lung that enables for the detection of viral phenomena. …
Published in International Journal of Broadband Cellular Communication · Vol. 8, Issue 1, 2022 · pp. 32–38 Read article