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444 articles for “segmentations”
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Cascade of Gait Recognition with Surveillance System in a Client-Server Environment
Abstract: ABSTRACTThis paper presents a system consisting of the application of gait recognition, a physiological biometric applied in a client-server environment. Now-a-days security plays a very important role in almost all fields and most of the public places like banks, airports, railway stations, etc., which require more security as the thieves and criminals are very intelligent whose objective is to create problems for human life and many untoward incidents. The gait …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 26–36 Read article
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Brain Tumor Detection Using Image Processing
Abstract: Brain tumor means the aggregation of abnormal cells in some tissues of the brain. Brain tumor can be cancerous or noncancerous. The most common types of brain tumors are Glioma, Meningioma and Pituitary tumor. Early detection of tumor cells is essential in-patient treatment and recovery. A brain tumor is typically diagnosed through a lengthy and complicated process. The MRI images of various patients at various stages can be used for …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 2, 2022 · pp. 8–14 Read article
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Biomechanical comparison of Schanz screws placement modes-how can stability by external fixation be raised?
Abstract: AbstractBackground: At present, external fixators are being used widely in open fractures of the long bones and also accepted as a temporary skeletal stabilization even in closed fractures. Therefore, it is essential to increase the stability which is provided by those devices for good outcomes. We hypothesized prior to the study that the greater is the distance between the Schanz screws inserted in each fracture fragment, the higher is the …
Published in Research and Reviews : Journal of Surgery · Vol. 9, Issue 2, 2020 · pp. 25–33 Read article
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A Biomechanical Analysis of Interspinous Spacer by 3D-Finite Element Method
Abstract: Background: Interspinous spacers are known as reliable alternatives for the treatment of various spinal disorders including lumbar spinal stenosis, facet arthrosis, internal disc disruption and so on. Many studies have been performed to investigate biomechanical and clinical features in relation to different interspinous spacers; however, little has been reported on interspinous spacer made of high polymer plastic materials. We purposed to evaluate biomechanical properties of interspinous spacer made of high …
Published in Research and Reviews : Journal of Surgery · Vol. 9, Issue 3, 2020 · pp. 25–35 Read article
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Various Edge Detection Techniques for Efficient Gait Recognition System
Abstract: AbstractGait recognition system is one of major security concerns for moving objects in biometric authentication. In this paper, various edge detection techniques for converting a gait image into edge image for recognition purpose are discussed. It is also useful for efficient image segmentation. Efficient Image segmentation technique plays an important role for improving recognition rate as well as recognition time. This survey work is helpful for making an efficient gait …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 17–20 Read article
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Reduction of Greenhouse Gases by Carbon Neutral Fuels in Shipping
Abstract: The earth environment is changing very rapidly nowadays. Besides that, earth showing its disturbance in the form of natural disaster and rapid climate changes. It is believed to have started in the 18th century, as a result of industrial revolution. During this period, industries were developed rapidly without having any safety measures, which leads to accumulation of various poisonous gases in atmosphere called Greenhouse Gases (GHG). Its effect was also …
Published in Journal of Offshore Structure and Technology · Vol. 7, Issue 1, 2020 · pp. 32–40 Read article
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Stress Perception among School-age Children
Abstract: Introduction: Prosody is the inflection embedded in speech. The perception of prosody is necessary to understand a spoken utterance, especially to appreciate the intricacies of languages. The influence of prosody is also beyond the boundaries of a sentence and provides speech its emotional tone. Prosody or the supra-segmental is made of stress (accent), intonation (pitch patterns) and the rhythmic (timing) pattern of language. Acoustically, it is described in terms of …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 6, Issue 2, 2019 · pp. 4–9 Read article
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Comparative Study on the Effect of Growth Regulators on The Development and Multiplication of in vitro Germinated Orchids of Bangladesh
Abstract: Abstract‘In vitro’ culture response of different plant growth regulators was assessed in two indigenous medicinal orchid species namely, Acampe papillosa (Lindl.) Lindl. and Aerides odoratum Lour. orchid for optimum callus induction and plantlet regeneration. Leaf and nodal segments of in vitro grown seedlings of the both species were cultured on MS and PM (Phytamax) media supplemented with different concentration and combinations of plant growth regulators of Auxin and Cytokinins. The …
Published in Research & Reviews : Journal of Botany · Vol. 5, Issue 2, 2016 · pp. 1–8 Read article
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Detection of Brain Tumors from MRI Images Based On Development of Thinking Computer Systems Techniques
Abstract: Brain tumors are one of the common diseases of the nervous system and have great harm to human health, and even lead to death. The detection, segmentation, and extraction of contaminated tumour regions from Magnetic Resonance Imaging (MRI) pictures are major problems; yet, a repetitive and time-consuming task performed by radiologists or clinical experts relies on their experience. The many anatomical structures of the human organ can be imagined using …
Published in Current Trends in Signal Processing · Vol. 12, Issue 4, 2022 · pp. 28–34 Read article
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Effectiveness of Online Advertising in Reaching Target Audiences
Abstract: This study examines the effectiveness of online advertising in reaching target audiences. With the rapid growth of digital platforms, understanding the efficacy of online advertising has become paramount for marketers. Utilizing a combination of quantitative analysis and case studies, this research investigates the various strategies and channels employed in online advertising to reach specific demographic segments. By analyzing metrics such as click-through rates, conversion rates, and audience engagement, this study …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 2, 2024 · pp. 8–12 Read article
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A research study into the interactions between the monoherbal formulations of arjuna and Aloe vera in a rat model of isoproterenol-induced cardiotoxicity
Abstract: Aloe vera is a herbal dietary supplement, and arjuna is used for its cardioprotective properties. Rats were given isoproterenol hydrochloride subcutaneously to cause myocardial infarction. The purpose of the study was to identify any potential pharmacodynamic interactions between the commercially available formulations of Aloe vera and arjuna. Materials and Procedures: The electrocardiogram (heart rate, ST segment elevation time, QRS complex amplitude), serum cardiac markers (creatine kinase, isoform of creatine kinase, …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 2, 2025 · pp. 1–10 Read article
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A Comprehensive Survey on Detection of Video Transitions
Abstract: Video shot boundary detection (SBD) is a fundamental task in the field of video processing and analysis. It plays a critical role in various video applications such as content-based video retrieval, video indexing, editing, summarization, and browsing. Identifying shot boundaries helps segment a continuous video stream into distinct shots, each representing a meaningful visual unit. This segmentation is essential for organizing and interpreting video data efficiently. This study provides an …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 17–26 Read article
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Optical Image Sensing and Analysis of Iron Ore Pellets: A Machine Learning Approach
Abstract: The present work is aimed to improve quality control in steel production using SEM imaging and machine learning. High-resolution SEM images of iron ore pellets, primarily composed of hematite and magnetite, are analyzed to understand their microstructural features, which significantly impact pellet performance during reduction processes. Traditional microstructure analysis is manual, time- consuming, and prone to inconsistencies. This study proposes an automated approach using K-Means Clustering, Canny Edge Detection, DBSCAN, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 7–18 Read article
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Artificial Intelligence in Image Recognition: Context of Machine Vision
Abstract: The machine learning discipline is as old as decades, but some problems such as image recognition, location detection, image classification, image generation, speech recognition, and natural language processing cannot be solved. Image classification studies are another basic, most classic and essential line of research in deep learning. Computer intelligent recognition of the images technology has enabled a gradual reaction (updating) to foreign measurement trends, which promotes advancement of different areas …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 01–06 Read article
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AGRISMART: Crop and Soil Management System
Abstract: Agriculture has played a crucial role in developing countries where the majority of the rural population relies on it for their livelihoods. A finer-grade crop classification has become crucial in the context of precision agriculture. In recent years, the volume of open image data has grown significantly. This can be used in combination with machine learning techniques to classify crop types in the agricultural industry. The proposed crop species recognition …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 50–55 Read article
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Generative AI for VR: Creating Physically Realistic Models
Abstract: Virtual Reality has revolutionized the traditional learning system by creating and interactive and engaging environment. However, its ability to show precise real-world experiences is limited due to lack of physical realism. This study investigates the potential of Generative Adversarial Network (GAN) in creating physically realistic 3D models. Proposed system incorporates deep learning techniques along with physics-based constraints to enhance model’s accuracy and usability. To achieve this, experiments were conducted on …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 3, 2025 · pp. 14–22 Read article
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Progress in Renal Tumor Surgery: The Role of 3D Surgical Planning in Partial Nephrectomy
Abstract: Renal cell carcinoma is the most common form of kidney cancer, representing 2–3% of global cases, with the highest incidence in Western Europe. For small renal tumors, partial nephrectomy is the preferred treatment, where the tumor is surgically removed. This procedure does not affect oncological outcomes, allowing part of the kidney to remain functional. During tumor removal, the surgeon minimizes excessive bleeding and improves visibility by cutting off the arterial …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 3, 2025 · pp. 35–40 Read article
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SpecForesight: A Predictive Analytics Pipeline for Laptop Price Forecasting
Abstract: This paper frames laptop pricing as a supervised predictive analytics problem, transforming product specifications into feature-rich signals to forecast price with calibrated regression models and operational guardrails against drift. A structured pipeline ingests tabular listings, performs data cleaning, and engineers domain-informed features (e.g., central processing unit (CPU) family and clocks, graphics processing unit (GPU) tiering, memory/storage density, display, and touch capabilities), followed by encoding and normalization to optimize model learnability. …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 61–71 Read article
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E-Commerce Clothing Platform with Virtual Try-On
Abstract: The inability to physically evaluate garments remains a major limitation in online clothing commerce. Customers often depend on static product images and generalized sizing charts, which do not accurately represent individual body proportions. This frequently leads to uncertainty during purchase decisions and increased product return rates. To address this limitation, this research proposes a web-based clothing e-commerce platform integrated with an intelligent virtual try-on mechanism. The system allows users to …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 17–24 Read article
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Fibre Orientation and Void Distribution Analysis in Polymer Composite Structures Using Image Processing
Abstract: Fibre orientation and void distribution are critical microstructural features that govern the mechanical performance and reliability of polymer composite materials. Accurate and simultaneous characterisation of these features remains challenging due to their complex spatial interactions and dependence on processing conditions. In this work, an integrated image-processing framework is proposed for the quantitative analysis of fiber orientation and void distribution in polymer composite structures. High-resolution composite microstructure images are processed through …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 925–933 Read article