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44 articles for “classification of objects”
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A Comparative Study Of RCNN, YOLO V3-Tiny and YOLO V5 Object Classification Architectures for Accurate Object Classification in Military Domain
Abstract: Late advances in object distinguishing proof computations consolidate speedy and faster RCNN whichmade the ID times also low with high accuracy. In this paper, we demonstrate the reliability of asuggested computation that employs RPN (Region Suggestion Associations) and Fast RCNN (RegionbasedConvolutional Neural Networks) for the distinguishing proof. The RPN gives region suggestionsfrom that we give the ROI (Regions of Interest) as commitment to the RCNN association, it will ingeneral be …
Published in International Journal of Broadband Cellular Communication · Vol. 7, Issue 1, 2021 · pp. 19–37 Read article
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Deep Learning in Medical Image Classification and Object Detection: A Survey
Abstract: Deep learning methods have demonstrated superior performance in the area of computer vision, speech recognition, natural language processing, healthcare, and many more. Convolutional neural networks (CNNs) are a class of deep learning methods that have the ability to learn from raw data available as images, audio, or text. CNNs have become a powerful tool for variety of pattern recognition tasks due to the availability of abundant data and GPU-based training. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 1–15 Read article
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Region-based Object Detection and Classification using Faster R-CNN
Abstract: With the advent of Deep Learning the machine learning systems are able to recognize and classify objects of interest in an image. Various advancement has been done in the field of object recognition and classification. Our research work focusses on improving the R-CNN, Fast R-CNN, YOLO architecture. The work focused on using Region Proposals Network (RPN) to extract region of interest in an image. RPN outputs an image based on …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 6, Issue 2, 2020 · pp. 22–30 Read article
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Intelligence Video Surveillance Using Deep Learning
Abstract: Intelligent video surveillance powered by deep learning represents a transformative paradigm in security and surveillance. This new approach uses the power of complex neural networks to revolutionize the analysis and management of video data. Through the seamless incorporation of deep learning technologies like convolutional neural networks (CNN) and recurrent neural networks (RNN) into observation systems, automated identification, tracking, and classification of objects can be accomplished, alleviating storage constraints on the …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 9–20 Read article
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Using Image Feature Selection through Deep Salient Region Detection Using Canny Edge Detection Framework
Abstract: Salient object identification has received a lot of attention recently in computer vision because it offers quick solutions to several challenging procedures. It first identifies the scene's most prominent and attention-grabbing object, after which it segments the object's entire extent. The perception and processing of visual input is linked to visual saliency. This proposed work focuses on several convectional saliency detection methods that are useful in a variety of applications …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 8–21 Read article
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Blind Assistance System using Tensorflow
Abstract: Because of item recognition's cozy relationship with video investigation and picture understanding, it has drawn in much exploration consideration lately. Customary item discovery techniques are based on carefully assembled highlights and shallow teachable designs. Their exhibition effectively deteriorates by building complex outfits which join numerous low-level picture highlights with undeniable level setting from object finders and scene classifiers. With the fast improvement in profound learning, all the more amazing assets, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 6–12 Read article
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An approach for Intelligent detection of dirty PV panels using image processing with YOLOv8
Abstract: The efficiency of solar photovoltaic (PV) systems is greatly affected by the condition of panel surfaces, as dust buildup and other impurities can noticeably reduce power output. Traditional maintenance methods rely largely on manual inspection, which can be subjective, inconsistent, and impractical for large-scale installations. To address these challenges, this work investigates a deep learning-based computer vision approach for the automatic assessment of solar panel cleanliness. In this work, a …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article
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Object Detection Technique by Using Support Vector Machines
Abstract: We portray the FCNN-SVM classifier, which combines the help vector machine (SVM) approach and the speedy nearest neighbor development course of action administer (FCNN) with a particular ultimate objective to make SVMs rational on immense gatherings of data. As an essential responsibility, it is probably exhibited that, on huge and multidimensional instructive accumulations, the FCNN-SVM is a few solicitations of significance faster than SVM, and that the amount of help …
Published in International Journal of Distributed Computing and Technology · Vol. 4, Issue 2, 2018 · pp. 1–4 Read article
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Comparative Study of Classification Methods Based on Feature Reduced Microarray Gene-Expression Data
Abstract: Abstract Cancer is a very complex and clinical heterogeneous disease. Now a days the research into the diagnosis and treatment of cancer have become an important issue for researchers. Cancer microarray data normally consist of samples having large number of gene expression as features. For better result in cancer classification it is very important to select relevant features. In this paper, five different types of cancer datasets are used such …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 1–10 Read article
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Analysis of Road Lane Detection Using Computer Vision
Abstract: Today’s technological advancement brings an opportunity to automate all the essential processes. Driving is one of the challenging tasks. The rapid growth of image processing technologies allows us to achieve an automatic driving system without human intervention. Numerous researchers are working on the development of algorithms for the automation of road lane detection during the self-driving car. This study presents an algorithm which can detect road lanes and the upcoming …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 7–14 Read article
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Classification of Brain Tumor with Statistical Analysis of Texture Parameter Using a Data Mining Technique
Abstract: The objective of this research is to investigate the abnormal images of brain having diseases of brain tumors using machine learning tool and to measure their texture which involves shape, intensity and texture parameter of brain. All of these images were run by the machine learning tool and compared these results with the normal image of brain. If there was abnormality located in the data, it was noted and further …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 4, Issue 2, 2018 · pp. 22–36 Read article
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Breast Tumor Classification Using Machine Learning Algorithm
Abstract: Breast cancer is characterized by genetic mutations, periodic pain, changes in the length, color (redness) and texture of the breast skin. The categories of most types of breast cancer led the pathologist to a systematic and objective prognostic analysis. In general, the most common category is binary (benign/malignant). Today, Learning Gadget (ML) strategies are widely used in breast cancer classification problems. Offers extreme accuracy and powerful diagnostic technology. It kills …
Published in International Journal of Microwave Engineering and Technology · Vol. 8, Issue 1, 2022 · pp. 35–40 Read article
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Understanding Perceptual Disorders: A Comprehensive Review
Abstract: Perceptual disorders refer to conditions in which a person’s ability to understand sensory information is disturbed, resulting in an altered perception of reality. These disorders affect how individuals experience sensory stimuli such as sight, hearing, touch, taste, and smell. Perceptual disturbances are commonly seen in various psychiatric and neurological conditions and play an important role in influencing a person’s thinking, emotions and behavior. Perceptual disorders mainly occur in the form …
Published in International Journal of Neurological Nursing · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Semantic Segmentation for Object Detection in Videos using Mask RCNN
Abstract: The segmentation of object instances is an essential step in real-time video detection. Object detection is the problem of detecting the information of all types of items in an image by designating their location with a rectangular box. Using its remarkable feature-learning capabilities, deep learning promotes object detection research. Numerous researchers have utilised various machine learning algorithms for object detection and have focused on enhancing the accuracy of feature extraction. …
Published in International Journal of Digital Communication and Analog Signals · Vol. 8, Issue 2, 2022 · pp. 7–15 Read article
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Closing Gaps in Asthma Care: Role of Nurse in Addressing Challenges, Barriers and Opportunities in Universal health coverage
Abstract: Background: Chronic respiratory illness is increasing and are a health burden in India, there are nearly 37 million asthmatics around the world. India contributes to 11.1 per cent of the global asthma burden and accounts for over 42 per cent of related deaths making it the asthma capital of the world. According to The Global asthma report (2018), the barriers to implementing successful treatment methods for Asthma in India is …
Published in International journal of Nursing Science Practice and Research · Vol. 9, Issue 1, 2023 · pp. 34–38 Read article
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Satellite Image Classification using Deep Learning
Abstract: Satellite imagery is essential for lots of applications along with catastrophe response, regulation enforcement, and monitoring an environment. These packages require the guide identity of objects and facilities in imagery. Because the geographical areas to be protected are large and the analysts needed to do the searches are scarce, automation is required. Yet traditional item detection and category algorithms are too inaccurate and unreliable to clear up the problem. Deep …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 1, 2022 · pp. 29–36 Read article
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Risk Map For Delay Causes in Construction Projects in Palestine: Contractors' Perspective
Abstract: This study is conducted to identify the main risks in construction projects in Palestine from contractors’ perspective. Questionnaire survey is the tool used to achieve the objectives of the study. 41 critical risk factors in projects associated with project duration were identified and classified as external and internal factors. The risk map for the investigated causes created based on their perceived severity and frequency of occurrence. The findings reveaeled 29 …
Published in International Journal of Construction Engineering and Planning · Vol. 9, Issue 1, 2023 · pp. 46–56 Read article
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Use of Natural Language Processing for Hate Speech Detection on SocialMedia:
Abstract: The exponential growth of social media platforms has led to an increase in user- generated content, enhancing global connectivity but also facilitating the spread of harmful language, including hate speech. Addressing this issue requires robust, Naïve Bayes, Decision Tree, K-Nearest Neighbours (KNN), Linear Regression, and Random Forest—were tested, with Linear Regression achieving the highest accuracy automated systems for detecting and mitigating offensive content. This paper presents a comprehensive analysis of …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 9–16 Read article
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Animal Gastrointestinal Tract in Animals Health
Abstract: The gastrointestinal tract's (GIT) functionality and health are essential elements that influence animal productivity. Since the management of GIT growth and health involves numerous complicated systems, it is critical to have a better understanding of these interconnections in order to create strategies for modulating GIT functioning and health in the perspective of better animal performance. Within in the animal scientific community, this term of "gut health" has sparked considerable interest. …
Published in International Journal of Animal Biotechnology and Applications · Vol. 8, Issue 1, 2022 · pp. 9–12 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