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240 articles for “Segmented”
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Knowledge and Practices on Self-Care Activities During Postoperative Period Among Mothers with Lower Segment Caesarean Section in a Selected Hospital at Bangalore: A Descriptive Study
Abstract: Caesarean section is a major obstetric procedure. Mothers who experience a caesarean birth need special care. A daily postpartum assessment should be done which includes assessment of the women’s breast and nipple condition, the amount and character of her lochia, inspection of the abdominal extremities and assessment of her voiding. Mothers may need help with breast feeding especially during the first few days. Acute or chronic complications are experienced by …
Published in Journal of Nursing Science & Practice · Vol. 5, Issue 3, 2015 · pp. 32–35 Read article
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Functional Outcomes in a Client with Hemiglossectomy and Segmental Mandibulectomy: A Case Report
Abstract: Glossectomy and mandibulectomy are one of the most common surgical procedures carried out to remove oral tumors. To date, only a few studies have been published regarding the functional outcomes in an individual who have undergone both glossectomy and mandibulectomy. It is important to document detailed changes in speech subsystems, swallowing, and QoL. As a result, the current study focuses on the nature of speech impairment, swallowing difficulties, and quality …
Published in Research and Reviews : Journal of Surgery Read article
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Survey on Retinal OCT Image Preprocessing, Segmentation, and Deep Learning Based Classification
Abstract: Optical coherence tomography (OCT) is a non-invasive technique that generates high-resolution, detailed cross-sectional images of biological tissues. By utilizing low-coherence interferometry, OCT enables visualization of tissue microstructure with micron-scale resolution, making it useful in various medical fields such as ophthalmology, cardiology, and dermatology. In ophthalmology, OCT is extensively used for diagnosing and monitoring retinal diseases like macular degeneration and diabetic retinopathy, allowing doctors to assess changes in tissue morphology over …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Image Processing and Deep CNN-based Automatic Liver Cancer Detection
Abstract: Liver cancer ranks among the leading causes of mortality for people worldwide. In the current situation, manually identifying the cancer tissue is a challenging and timeconsuming task. Treatment planning, response monitoring, tumor load assessment, and prediction are all made possible by the segmentation of liver lesions in CT scans. To address the current problem of liver cancer, the Hybridized Fully Convolutional Neural Network (HFCNN), which has been theoretically modeled, has …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 39–41 Read article
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Design of a 10-bit Segmented Current-Steering CMOS D/A Converter for High Speed Communication System
Abstract: In the present work, design of a 10-bit digital-to-analog (D/A) converter using current segmentation architecture in 0.35 µm double-poly, four-metal, CMOS process has been attempted. The measured differential nonlinearity (DNL) and integral nonlinearity (INL) are 0.8 and 2.5 least significant bits (LSBs) respectively. For sampling frequency of 12-MSample/s, the spurious free dynamic range (SFDR) is better than 56 dB for signal up to Nyquist rate. The worst case power consumption …
Published in Journal of VLSI Design Tools and Technology · Vol. 2, Issue 1-2-3, 2012 · pp. 38–43 Read article
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Cardiovascular Image Segmentation in Computed Tomography Angiography ImagesUsing Deep Learning Approaches
Abstract: In present time, the cardiovascular disease is one of the common causes of mortality in human. In field of medical science, Heart angiography is one of the processes to testing of heart disease. Heart angiography identifies the abnormality in heart vessels. There are mainly two approaches to identify the heart disease. Former approach is the invasive and latter one is the non-invasive approaches. Invasive process is a painful diagnostic procedure …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 1, 2023 · pp. 20–27 Read article
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A Comparison Study of Different Classification Algorithm on Brain Tumor Segmentation
Abstract: A brain tumor is a tissue mass caused by aberrant cell proliferation in the brain. It is a collection of tissues that causes hormonal alterations and eventually death. In order to save human lives, brain tumors prognosis and prevention is a difficult task. The use of modern medical image processing approaches has made the identification of brain tumors more flexible in recent years. Due to the absence of ionizing radiations, …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 3, 2021 · pp. 1–7 Read article
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Functional Outcomes in a Client with Hemiglossectomy and Segmental Mandibulectomy: A Case Report
Abstract: Glossectomy and mandibulectomy are one of the most common surgical procedures carried out to remove oral tumors. To date, only a few studies have been published regarding the functional outcomes in an individual who have undergone both glossectomy and mandibulectomy. It is important to document detailed changes in speech subsystems, swallowing, and QoL. As a result, the current study focuses on the nature of speech impairment, swallowing difficulties, and quality …
Published in Research and Reviews : Journal of Surgery · Vol. 11, Issue 2, 2022 · pp. 1–6 Read article
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Software Development Using Component Based Testing
Abstract: Segment Testing is utilized in Software advancement. Right now, part will be tried. Principle Reason for utilizing Component testing is reuse. In Component Testing less assets utilized for growing new programming. Various sorts of Component gathered and incorporated for programming improvement. It is decreased advancement time and improved programming quality and make moves toward interactional. Testing is performed not exclusively to submit the basic programming mistake free in any case …
Published in Journal of Microcontroller Engineering and Applications · Vol. 8, Issue 3, 2021 · pp. 22–26 Read article
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Comparative Analysis of MCNN and RCNN for Speech Emotion Recognition Using Gender Information
Abstract: Speech emotion recognition is a speech processing task and a computer-based approach designed to identify and classify the emotions conveyed in audio signals. The aim of this system is to evaluate a speaker's emotional state, such as happiness, anger, sadness, or frustration, by analyzing their speech patterns, which include prosodic features like pitch, frequency, and rhythm. Speech emotion recognition is used in various real-life scenarios that include Customer Service, Healthcare, …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 1, 2025 · pp. 1–10 Read article
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Automatic Number Plate Recognition Based Image Processing
Abstract: In most countries, traffic control and vehicle owner identification have become important problems. It is almost impossible to identify vehicle owners who break rules of the traffic, especially those driving at high speeds. Another problem inhibits traffic officers from catching the offenders in most cases because solving traffic offenders involves retrieving license plate numbers from fast-moving vehicles. Automatic Number Plate Recognition (ANPR) systems have been developed as an effective solution …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 33–40 Read article
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Explainable Artificial Intelligence in Personalized Medicine: Emerging Clinical Perspectives
Abstract: The convergence of artificial intelligence (AI) and precision medicine has transformed contemporary healthcare by enabling data-driven clinical decision-making, individualized therapeutic interventions, and predictive diagnostics. However, despite remarkable advances in machine learning (ML) and deep learning (DL), the widespread adoption of AI in healthcare remains constrained by the “black-box” nature of many computational systems. Clinicians, regulatory agencies, and patients increasingly demand transparency, interpretability, and trustworthiness in AI-guided medical recommendations. Explainable Artificial …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 13–29 Read article
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Multi-way Protection Scheme to Handle Multiple Failures for Cost-Efficient Fiber-Wireless (FiWi) Access Networks
Abstract: AbstractFiber Wireless (FiWi) access networks prove themselves as promising broadband access networks. These networks enable users to access services in “Anywhere-Anytime” fashion. FiWi networks offer higher bandwidth and better flexibility at much lower price than passive optical network. As FiWi supports high data rate (typically about Gigabits per second), any failure may results in huge data loss. Therefore, to protect such loss of data, we need to design a more …
Published in Trends in Opto-electro & Optical Communication · Vol. 5, Issue 3, 2015 · pp. 1–15 Read article
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Characterization of Polyurethane at Multiple Scales for Erosion Mechanisms Under Sand Particle Impact
Abstract: Thin polyurethane layers have been widely used as erosion-resistant coatings on helicopter rotor blades such as UH-60 Black Hawk and Eurocopter SA 315. Published research has mainly focused on empirical studies that relate the mechanical properties such as rebound resilience and hardness of polyurethane to solid particle erosion resistance. However, polyurethane possesses phase mixing at multiple scales and thus sand particle erosion resistance depends also on the microstructure and the …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 1, 2026 · pp. 1–13 Read article
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Image-Based Crack Morphology Characterisation for Electrical Failure Analysis in Conductive Polymer Composites
Abstract: Electrical performance in conductive polymer composites is strongly governed by crack-network evolution, yet failure analysis typically relies on qualitative image inspection or electrical anomaly detection in isolation. This work proposes an end-to-end framework that converts optical/SEM crack imagery into a standardised crack morphology signature and quantitatively links it to electrical degradation indicators. A two-stage learning strategy is adopted: crack-representation pretraining using the public Concrete Crack Images for Classification dataset, followed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1375-1386 Read article
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Ileal Ureteral Substitution for Long Ureteric Structure/Segment Loss by Yang-Monti Technique. A Single Centre Experience
Abstract: A new technique for replacing the ureter based on the Yang-Monti principle is introduced to overcome the drawbacks of the classic ileal ureter. Between January 2007 and January 2014, ureteral replacement by ileum was indicated in nine patients, long or multiple strictures due to tuberculosis (6), retroperitoneal tumor (1) and iatriagenic ureteric injury during ureteroscopic (2). Exclusion criteria included patients with inflammatory bowel syndrome or irradiated bowel or a non-functioning …
Published in Research and Reviews: A Journal of Medicine · Vol. 5, Issue 3, 2015 · pp. 6–11 Read article
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Safe zones for external fixation in the tibia: A cadaveric study
Abstract: AbstractPurpose: The aim of this study was to determine the relationship between the neurovascular structures and the tibia, by measuring the distances from the tibia to the surrounding neurovascular structures and angles at which the neurovascular structures course around the tibia. Materials and Methods: Ten fresh adult cadavers(5 men, 5 women), which had been donated to the Human anatomy department, were obtained within 72h of death, providing 20 lower extremity …
Published in Research and Reviews : Journal of Surgery · Vol. 9, Issue 2, 2020 · pp. 16–20 Read article
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Zero Trust Implementation Challenges in Legacy and Wireless Network Systems
Abstract: This article titled "Zero Trust Implementation Challenges in Legacy Systems and Wireless Network Systems" delves into the evolving landscape of cybersecurity, emphasizing the inadequacy of traditional perimeter-based security models in the face of modern cyber threats. The Zero Trust Security framework is highlighted as an essential advancement in this scenario, emphasizing the core idea of "never trust, always verify." This paradigm shift underscores the importance of continuous verification, least privilege …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 1, 2025 · pp. 39–50 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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Optimizing Marketing Campaigns Using Random Forest and A/B Testing
Abstract: Marketing initiatives play a vital role in driving business growth by reaching targeted consumer segments through tailored strategies across multiple channels. The success of these initiatives is influenced by various factors, including the type and duration of the campaign, the characteristics of the target audience, the communication channels employed, and the overall efficiency of each strategy. These factors collectively impact key performance metrics such as conversion rates, customer acquisition costs, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article