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444 articles for “segmentations”
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Acoustic Cue for Stress Perception in Kannada Speaking Children
Abstract: The perception of prosody is necessary to understand the intent of a spoken utterance, especially to appreciate the intricacies of a language. Prosody or the supra-segmental component is made up of stress (accent), intonation and the rhythmic (timing) patterns of language. Stress indicates the most prominent syllable/word in an utterance. Literature suggests language-specific acoustic cues for stress perception. Hence the present study was aimed to determine the major acoustic correlate …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 9, Issue 3, 2019 · pp. 16–23 Read article
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Alarming Increments of Tobacco and Related Substance Use among College and University Students in Ethiopia: Review
Abstract: The use of substances such as tobacco, alcohol, khat, and other substances has become one of the rising public health and socioeconomic problems worldwide. Onset of smoking and alcohol drinking during early adulthood is a well-documented and significant public health risk factor and is linked to a high risk of chronic diseases at older age. Tobacco is leading cause of death, illness and impoverishment worldwide. The tobacco epidemic is one …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 5, Issue 3, 2016 · pp. 1–7 Read article
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Multiple Intestinal and Mesentrical Lymphangiomas in a 16-year-old Male: A Case Report
Abstract: Lymphangiomas are rare benign tumor of lymphatic vasculature. These usually occur in skin and soft tissues ofhead, neck and axillary region. Very rarely these affect gastrointestinal tract. Here, we present a case of lymphangiomatos is in a 16 year old male who was presented with acute abdomen. Exploratory laparo to my done and multi-lobulated mass in the intestinal wall and mesentry found. Segment of ileum, caecum and part of colon …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 5, Issue 3, 2016 · pp. 41–44 Read article
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A Comprehensive Review on Brain Tumour Classification through Deep Learning Utilizing Convolutional Neural Networks
Abstract: Abstract- Convolutional neural networks (CNNs) constitute a widely used deep learning approach that has frequently been applied to the problem of brain tumor diagnosis. Such techniques still face some critical challenges in moving towards clinic application. Brain tumours are classified using a biopsy, which is not normally done before conclusive brain surgery. The enhancement of this technology by machine learning could aid radiologists in tumour detection without the use of …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 12, Issue 3, 2023 · pp. 24–29 Read article
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Breast Cancer at Community Level in Bangladesh
Abstract: Background: Breast cancer is an issue of gaining concern in Bangladesh that causes high mortality and morbidity. Lack of screening and surveillance programme contributes to this. Almost no baseline data were found in this issue, though Government of Bangladesh launched a breast cancer surveillance programme based on clinical breast examination (CBE). This research was an effort to produce some baseline data to strengthen the programme of Government of Bangladesh. Methods: …
Published in Research and Reviews : Journal of Surgery · Vol. 8, Issue 2, 2019 · pp. 4–7 Read article
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Initial Diversion in Hirschsprung’s Disease: Loop versus End Colostomy. Does it Make a Difference?
Abstract: Background: Staged surgery for Hirschsprung’s disease involving initial stoma formation with biopsies to find the level of aganglionosis and subsequent pull-through procedure like Duhamel’s Pull through is the most recommended management protocol at several institutions. The nature of stoma, whether loop or end, often determines the patient’s morbidity in this approach and would also have a say in the duration and ease at the time of definitive pull-through procedure. Aims …
Published in Research and Reviews : Journal of Surgery · Vol. 8, Issue 3, 2019 · pp. 4–8 Read article
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Effect of Jawarish Zarooni and Sharbat Buzoori in a Diagnosed Case of Nephrotic Syndrome
Abstract: Nephrotic syndrome is a manifestation of kidney disease involving the glomeruli, characterized by oedema, proteinuria, hyperlipidemia and low serum albumin. It may be caused by primary kidney disease such as focal segmental glomerulosclerosis, and mutations in the podocin gene (shown in familial and sporadic forms of steroid-resistant nephrotic syndrome). A study by Michael B. Rothenberg and Walter Heymann M. showed 5-year survey of the incidence of the nephrotic syndrome in …
Published in Research and Reviews : Journal of Surgery · Vol. 9, Issue 1, 2020 · pp. 33–35 Read article
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Account of Gross Anatomy to Microanatomy with the Orientation of Progressive Detection
Abstract: Purpose: The aim of this study is to see the history and course of histology as well as analyze the list of simple organs described in classical Unani literature with the recent advancement in the subject. Background: Concept of tissue had been described in classical Unani literature. Every era has its maximum but possible technologies to visualize and understand the things. So, Unani ancient scholars also did the best of …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 6, Issue 3, 2019 · pp. 1–11 Read article
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An Experimental Analysis on Enhancement of Electric Vehicle Safety using ADAS Technology and Forward Collision Avoidance with an Automatic Braking System
Abstract: The rapid expansion of the automobile sector in developing nations has intensified road safety concerns, particularly in congested urban environments where human error accounts for approximately 90% of all accidents. This paper presents and experimentally validates an integrated Advanced Driver Assistance System (ADAS) for electric vehicles comprising three complementary safety modules: a Forward Collision Avoidance System (FCAS) employing an HC-SR04 ultrasonic sensor interfaced with an Arduino Uno R3 to detect …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 20–30 Read article
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Deep Learning for Earth Observation Using Satellite Imagery: A Comprehensive Review
Abstract: Earth observation (EO) satellites provide continuous, large-scale information about the Earth's land, oceans, atmosphere, vegetation, infrastructure, and environmental conditions. The rapid growth of multispectral, hyperspectral, synthetic aperture radar (SAR), thermal, and high- resolution satellite missions has generated large volumes of heterogeneous spatial and temporal data. Conventional image-processing and machine-learning techniques often require manually designed features and may have difficulty representing the complex spatial, spectral, temporal, and multimodal characteristics of satellite …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
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NeuroSight: AI-Powered Vision Enhancement for the Visually Impaired
Abstract: Visual impairment has long been a significant challenge, affecting a person’s ability to move independently, understand their surroundings, and perform everyday activities safely. Although considerable progress has been made in the development of assistive technologies, many existing solutions still face practical limitations. These include inconsistent performance in real-world environments, high power consumption, dependence on external computing resources, and limited ability to adapt to dynamic and rapidly changing surroundings. To address …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 2, 2025 · pp. 25–33 Read article
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A Novel Real Time Motion Detection Algorithm
Abstract: Constant identification of moving items is fundamental for feature reconnaissance. Foundation subtraction serves as an essential system normally used to portion the moving questions in picture successions taken from a camera. Some current calculations cannot calibrate changing circumstances and they require manual alignment in connection to the determination of parameters or a few speculations for element evolving foundation. A versatile movement division and recognition methodology is produced by utilizing movement …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 1, 2015 · pp. 8–15 Read article
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Active Vision Approach for Controlling Educational Robotic Arm with Autonomous Object Manipulation
Abstract: This research presents an autonomous robotic framework for academic, vocational and training purpose. The platform is centred on a six-degree-of-freedom (DOF) serial robotic arm. Two on-board cameras developed a computer vision system for detection and autonomous object/target manipulation placed randomly on a target surface and controlling an educational robotic arm (ERA) to pick it up and move it to a predefined destination. Force sensitive resistor (FSR) has been used as …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 3, 2014 · pp. 1–10 Read article
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Video Surveillance and Object Tracking: A Survey
Abstract: The multiple object tracking from video sequences has been an open research question for so many years. It remained a demanding research for the tracking of motion and simultaneous object detection within a domain range of image processing and computer vision. The tracking methodologies involve object segmentation, background subtraction, feature descriptors like mean-shift, particle filter. Thus, the performance of such tracking methods varies with the computational complexity which relies on …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 3, 2014 · pp. 15–23 Read article
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Automated Thyroid Nodule Detection in Ultrasound Image using Optimal Neural Network Classifier
Abstract: Malignant thyroid nodule detection is an important issue in thyroid ultrasonography image processing. Literature reports many algorithms in this domain. This research aims to design optimal decision support system (DSS) for ultrasound thyroid nodule image characterization into benign and malignant classes. Thyroid nodule region is segmented to extract texture features from thyroid nodule ultrasound images acquired from 38 patients using gray level co-occurrence matrix (GLCM) and statistical properties. These features …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 2, 2015 · pp. 15–25 Read article
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Image Enhancement by Correction of Cllipped Pixels: An Exemplification
Abstract: Conventional images store an extremely constrained element scope of brightness. The genuine luma in the bright region of such pictures is regularly lost because of section. At the point when section changes the R, G, B shading ratios of a pixel, shading twisting likewise happens. In this paper, we propose an algorithm to improve both the luma and chroma of the clipping pixels. Our method is in view of the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 1, 2016 · pp. 30–38 Read article
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Generation of Facial Expressions through Manipulating Facial Parameters
Abstract: Extracting discriminative features from salient facial patches plays an important role in effective facial expression recognition. The accurate detection of facial landmark needed to improve the localization of the salient patches on face images. This paper proposes framework for expression recognition by using appearance features of facial patches. By synthesize of emotional facial expressions through manipulating facial parameters, we aim to introduce facial emotion to a neutral facial image. For …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 2, 2016 · pp. 33–38 Read article
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Video Enhancement and Denoising Using HSV Domain Method
Abstract: AbstractVideo enhancement is the most essential and troublesome segments in video research. The point of video upgrade is to enhance the visual appearance of the video, or to give a superior transform portrayal for future mechanized video processing. In this paper, we exhibit an outline of video enhancement and denoising utilizing HSV (Hue, Saturation, Value) domain method. Here, DST (Discrete Shearlet Transform) decomposition strategy is applied to the H parameter …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 2, 2017 · pp. 30–36 Read article
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Automatic License Plate Recognition using Video Sequences as Input and Artificial Neural Network as Recognition Technique
Abstract: ALPR system is used to automatically extract the number plate of a vehicle. This can be achieved by using different techniques that are employed in the field of image processing. ALPR method consists of 4 basic stages. The first stage of the system is the acquisition of an image of the vehicle. After that, the next step is license plate localization and then segmentation of the extracted license plate is …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 89–102 Read article
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A Study on - Customer Perceptions Towards Online Shopping with Special Reference to Salem District
Abstract: Online searching (sometimes called e-tail from "electronic retail" or e-shopping) could be a sort of electronic commerce that permits shoppers to directly purchase product or services from a trafficker over the net employing an application program. It's the method of shopping for product and services from merchants United Nations agency sell on the net. The results prove that the respondents had perceived positive manner in on-line searching. This clearly justifies …
Published in E-Commerce for Future & Trends · Vol. 5, Issue 3, 2018 · pp. 28–32 Read article