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56 articles for “image typicality”
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A Split and Merge UNet: A Deep Learning Assisted UNet Model to Segment Corpus Callosum of Brain for Automatic Autism Detection
Abstract: In recent years, deep learning techniques have shown remarkable performance in various image analysis applications, particularly in the domain of medical image processing. Among these, image segmentation plays a critical role, as it helps in isolating and analyzing specific regions within medical images. The proposed study focuses on segmenting the corpus callosum, a vital structure in the human brain, using a novel optimization technique known as the Split and Merge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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ML-Driven Defect Detection in Additive Manufacturing of Polymer Composites Using Thermal Imaging
Abstract: Polymer-based flexible biosensors have emerged as a pivotal technology in continuous health monitoring, yet their deployment in real-world settings is often hindered by undetected micro-defects and signal distortion caused during fabrication or usage. Existing diagnostic frameworks typically rely on post-hoc processing or bulky instrumentation, failing to offer scalable, real-time detection during additive manufacturing workflows. This study introduces an end-to-end, thermographic imaging-integrated framework for in-situ defect identification during the additive manufacturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 201–215 Read article
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Efficient PCB Fault Detection System using Deep Learning and Image Processing
Abstract: Printed Circuit Boards (PCBs) are essential parts that support the operation of electronic equipment in a variety of sectors. Nevertheless, difficulties that manufacturers regularly face during the PCB manufacturing process lead to defective devices. However, current inspection processes occur after etching, wasting a lot of material and rendering defective PCBs unusable. This study discusses relevant practical difficulties and offers a method for identifying errors in real PCB images using Matlab …
Published in Journal of Nuclear Engineering & Technology · Vol. 13, Issue 3, 2023 · pp. 1–5 Read article
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Comparative Analysis of CMOS CNFET and Memristor Based Full Adder Circuits and CMOS Memristor Based Multiplexer Circuits
Abstract: Continued developments in microelectronics technology have led to a myriad of new compute- intensive applications at the micro-edge, such as artificial intelligence and signal and image processing. Multiplication is a crucial arithmetic process in such applications. However, large logic complexities typically seen in traditional multipliers generate combinatorial blocks with long chains of cascaded carry addition. As such, energy efficiency has remained a primary design challenge for these applications, when powered …
Published in Journal of VLSI Design Tools and Technology Read article
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Comparative Analysis of CMOS CNFET and Memristor Based Full Adder Circuits and CMOS Memristor Based Multiplexer Circuits
Abstract: Continued developments in microelectronics technology have led to a myriad of new compute-intensive applications at the micro-edge, such as artificial intelligence and signal and image processing. Multiplication is a crucial arithmetic process in such applications. However, large logic complexities typically seen in traditional multipliers generate combinatorial blocks with long chains of cascaded carry addition. As such, energy efficiency has remained a primary design challenge for these applications, when powered by …
Published in Journal of VLSI Design Tools and Technology · Vol. 12, Issue 2, 2022 · pp. 22–33 Read article
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Posterior Reversible Encephalopathy Syndrome Secondary to Management of Dimorphic Anemia by Repeated Blood Transfusions: A Case Report
Abstract: Posterior reversible encephalopathy syndrome, popularly known asPRES, is defined as a clinicoradiological syndrome which is characterized by symptoms such as headache, seizures, and altered consciousness and characterized by white matter vasogenic edema affecting the posterior occipital and parietal lobes of the brain .We report a 39-year-old woman who was treated by iron and blood transfusion for dimorphic anemia with a hemoglobin (Hb) level of 2 g/dl. Patient developed three episodes …
Published in Research and Reviews: A Journal of Medicine · Vol. 8, Issue 2, 2018 · pp. 6–8 Read article
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Partial View-Based Object Recognition using Leave-one-out Approach with Classification and Regression Trees
Abstract: Object recognition from image is an intriguing task in computer vision. It is simple for human being but complex for machine because of complex background, lightening, different viewing angle, size etc. So, a typically automatic and robust system is required to recognize object. In this paper, a content-based object recognition system using only one view of the object: top view, front view, back view, side view, and also using combination …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 3, 2018 · pp. 9–16 Read article
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Application of Computer Vision Algorithms in the Description of Mitotic Chromosome Metaphase Spread
Abstract: Mitotic chromosomes offer a unique opportunity to observe the nuclear genome by microscope, allowing analysis of its components individually. The karyotype is the visual description of the complete set of chromosomes of a typical somatic cell of a eukaryotic organism. These unique visual features that describe the karyotype are not easily distinguished in photographed microscopic images, most especially in laboratories located in the third world countries that cannot afford to …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 3, Issue 1, 2015 · pp. 1–5 Read article
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Sustainable Cotton Crop Productivity through Precision Weed Detection: A Deep Learning-Based Approach with UAV Integration
Abstract: Weeds present a major challenge to crop productivity by competing with crops for vital resources, including water, sunlight, and nutrients, often resulting in significant yield reductions. On a global scale, weeds are responsible for approximately 13.2% of annual crop losses, a quantity sufficient to feed nearly one billion people. These invasive plants disrupt agricultural systems and adversely impact crop yields. Given their uneven distribution in fields, ground or aerial robots …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 19–26 Read article
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Matrix Factorization and Tensor Decomposition at Scale: Mathematical Foundations and Computational Approaches
Abstract: Matrix factorization and tensor decomposition techniques have emerged as fundamental tools in machine learning and data science for handling high dimensional data efficiently. This paper presents a comprehensive analysis of scalable matrix factorization and tensor decomposition methods, focusing on their mathematical foundations, computational complexity, and practical applications. We examine key algorithms including Singular Value Decomposition (SVD), Non-negative Matrix Factorization (NMF), CP decomposition, and Tucker decomposition, with particular emphasis on their …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 56–59 Read article
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Role of the Surgical-Ward Nurse in Identifying, Escalating, and Managing Postoperative Anastomotic Leak in Colorectal Patients: A Narrative Synthesis in an Australian Nursing Perspective
Abstract: Purpose: Postoperative colorectal anastomotic leak (AL) is one of the most feared complications after colorectal surgery because of its association with sepsis, reoperation, mortality, prolonged hospital stay, delayed adjuvant therapy, and permanent stoma formation. This narrative practice review outlines the frontline role of surgical-ward nurses in the early identification, escalation, and interim management of AL within the Australian acute-care context. Methods: A narrative synthesis of contemporary consensus statements, systematic reviews, …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 1, 2026 · pp. 7–12 Read article
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Section Cutting in Histopathology: An Update
Abstract: Histopathology is the microscopic examination of tissues to diagnose and study diseases, more significantly the diagnosis of cancer. It plays a pivotal role in modern medicine, serving as the gold standard for definitive diagnosis in a wide range of conditions. Through meticulous analysis of tissue morphology (structure) and cellular characteristics, histopathology provides crucial information for disease classification, staging, and guiding patient management. In the world of histopathology, where microscopic details …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 1, 2024 · pp. 29–34 Read article
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A Typical Case of Asherman Syndrome (Fritsch Syndrome) due to Prolonged Retained Fragment of Cu-T in Myometrium
Abstract: Asherman or Fritsch syndrome is also known as intrauterine adhesions. It can lead to partial or complete dysfunction of the endometrium. It affects women of all races and ages equally suggesting no underlying genetic predisposition for its development. The incidence is 40% after D and C. It is mostly due to vigorous curettage of endometrium causes scarring and occlusion in the uterine cavity or it may also be due to …
Published in Research and Reviews: A Journal of Medicine · Vol. 7, Issue 1, 2017 · pp. 10–12 Read article
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Diagnosing Pneumonia from Chest X-rays Using Deep Learning Algorithms Through Convolutional Neural Network, Transfer Learning and Fine Tuning
Abstract: Pneumonia is an inflammatory condition of the lungs that induces air sacs which leads to a contagious infection of lungs. Patients who are afflicted with the virus can be saved from death and the virus can be eradicated from spreading further through effective diagnosis. X-rays of the chest are frequently used to diagnose pneumonia. Detecting pneumonia from a Chest X-ray is typically slow and inaccurate. It is essential to identify …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 3, 2023 · pp. 8–16 Read article
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Digital Resurrection: Restoring Fragile Documents with OCR
Abstract: In creating a typical Optical Character Recognition (OCR) system, several steps are involved, such as preprocessing, segmentation, feature extraction, and classification. Preprocessing, which is a particularly interesting and challenging aspect of Document Analysis and Recognition (DAR), deals with converting scanned or photographed images containing machine-printed or handwritten text, including numbers, letters, and symbols, into a format that the system can understand. Segmentation is a crucial task in any OCR system, …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 29–35 Read article
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Self Driving Car Simulation Using Deep Learning
Abstract: Every year, traffic accidents account for 2.2% of worldwide deaths. That accumulates to a few millions a year. On prime of this, some individuals are seriously lacerate in auto-related accidents annually in large numbers mostly due to human error. From distracted driving to drunk driving to reckless driving to careless driving, one poor or inattentive call may be the distinction between a typical drive and a critical state of affairs. …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 1, 2021 · pp. 6–13 Read article
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Studies on two recently commercialized scintillators for gamma-ray spectroscopy and imaging
Abstract: The present work is aimed to study some characteristics of the two recently commercialized CRY18 and CRY19 crystals (Crytur, Cz), namely the elemental compositions, and the suitability of a TiO 2 -based white-pigment as light-reflector around the blind faces of the scintillators. The energy dispersive X-ray fluorescencetechnique has been used for the first goal while the second one has been performed by comparing the emission spectrum of the first crystal …
Published in Journal of Nuclear Engineering & Technology · Vol. 12, Issue 2, 2022 · pp. 24–32 Read article
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Paediatric Epilepsy: Current Advances in Diagnosis and Management
Abstract: Paediatric epilepsy is one of the most common chronic neurological disorders of childhood, characterised by recurrent unprovoked seizures resulting from abnormal neuronal activity. Accurate diagnosis is essential and is based on a detailed clinical history, seizure semiology, neurological examination, and electroencephalography (EEG), with neuroimaging such as magnetic resonance imaging (MRI) used to identify structural abnormalities. Classification according to seizure type and underlying aetiology genetic, structural, metabolic, immune, infectious, or unknown—guides …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 53–68 Read article
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X-Ray Insight: Deep Learning-Enhanced Detection and Grading of Knee Osteoarthritis
Abstract: Osteoarthritis (OA) is the most prevalent form of arthritis affecting the knee. It is a degenerative joint disease characterized by the gradual deterioration of cartilage, typically impacting individuals aged 50 and above, although it can also occur in younger people. The condition progresses slowly, with symptoms intensifying over time, leading to significant pain and discomfort. Early diagnosis and intervention can significantly alleviate pain and enhance the quality of life for …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 2, 2024 · pp. 1–6 Read article
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Detection of Traffic Sign Using CNN
Abstract: For past more than half of the decade, the detection and recognition of the traffic signs are an active research area; especially in the field of automation of driving that is critical for driverless driving, as there is drastic increase in road accidents due to ignorance of traffic signs and rules. This is frequently used for recognizing permanent or temporary various road signs which are displayed on the side of …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 1, 2022 · pp. 14–23 Read article