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330 results for “Efficient B0+ U-Net”
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Research ArticleOpen accessIn the keywordsMULTICAST ROUTING WITH QUALITY OF SERVICE CONSTRAINTS IN THE AD HOC WIRELESS NETWORKSAbdellah Idrissi, Fadoua YakineThe recent multimedia applications and services are very demanding in terms of Quality of Service (QoS). This creates new challenges in ensuring QoS when delivering those services over wireless networks. Motivated by the need of supporting high quality multicast applications in wireless ad hoc networks, we propose a network topology that can minimize the power when connecting the source node … …Journal of Computer Science, Vol. 10, Issue 9 · 30 Apr 2014 · 6,895 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEnergy Constrained Secure Hierarchical Data Aggregation in Wireless Sensor NetworksV. Bhoopathy, R. M.S. ParvathiProblem statement: Wireless sensor networks, brings out variety of different challenges at energy level, integrity, authentication, communication cost. Approach: In the secure data aggregation techniques, reduction in the energy consumption was not elaborated in detail, since aggregator means of connection to sink was either direct or through other aggregators which need high energy level. Results: We suggest an Energy Constrained … …American Journal of Applied Sciences, Vol. 9, Issue 6 · 16 Mar 2012 · 7,382 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDesign of QoS Aware Dominating set based Semantic Overlay Network (QADSON) for Content DistributionAmutharaj Joyson, Radhakrishnan ShanmugasundaramProblem statement: This study addressed the user’s perceived quality of service requirements in content distribution and investigated the role of QoS. Aware Dominating set based Semantic Overlay Network (QADSON) in surrogate server selection to achieve the specified quality of service. Approach: At first, we constructed the QoS aware dominating set based semantic overlay network which was a virtual network of … …Journal of Computer Science, Vol. 7, Issue 10 · 4 Aug 2011 · 6,653 accessesView PDFCite
Research ArticleOpen accessIn the keywordsConsistent and Proficient Algorithm for Data Gathering in Wireless Sensor NetworksP. Balamurugan, K. DuraiswamyProblem statement: A wireless sensor network is usually deployed in a harsh geographical area to gather data that can be delivered to the remotely located base station. Sensor nodes have irreplaceable energy source, limited computational capability and limited memory. It is a challenge to maximize the use of energy of these sensor nodes to extend the network lifetime. Approach: This … …Journal of Computer Science, Vol. 7, Issue 9 · 25 Jul 2011 · 6,737 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvancing Stroke Lesion Segmentation With U-Net Variants: Classical, Transfer Learning, and MRI Sequence-Specific Customized ApproachesSonia Flora Panesar, Amit P. GanatraIschemic stroke, caused by restricted cerebral blood flow, is a leading cause of death and disability worldwide. Accurate segmentation of stroke lesions in MRI is essential for timely diagnosis but remains labor-intensive when done manually. This study presents a comparative evaluation of three U-Net variants for automated ischemic stroke lesion segmentation using the ISLES 2022 dataset: (1) Classical U-Net with … …Journal of Computer Science, Vol. 22, Issue 2 · 27 Feb 2026 · 1,797 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Vertical Stacking-Based Ensemble Deep Learning Model for Early Diagnosis of Alzheimer's Disease Using Multimodal MRI ScansParvatham Niranjan Kumar, Lakshmana Phaneendra MaguluriEarly detection of Alzheimer's Disease (AD) is crucial for timely interventions that can slow disease progression, enhance quality of life, and assist with future planning. Convolutional Neural Networks (CNNs) are an efficient method for processing image-based data. In this work, we used CNN-based deep learning models to extract structural information from structural MRI (sMRI) and brain neuron connectivity patterns from … …Journal of Computer Science, Vol. 21, Issue 6 · 14 Jun 2025 · 3,106 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing SQL Injection Detection: A Machine Learning Approach Using Network Flow DataP. Vinoth, K. Muthamil Sudar, S. MuthukumarBackground: SQL injection is one of the cyberattacks which occurs in web application vulnerabilities. It targets the poor input validation and enables the attackers to inject malicious queries into the database fields in any application. It will grant access to unauthorized users and data modification, or they will take control over the complete database. To prevent this, there are several … …Journal of Computer Science, Vol. 22, Issue 8 · 18 Aug 2026 · 1,059 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Deep Learning for Kidney Stone Detection in CT Scans With Noise Reduction and Feature EnhancementU. M. Fernandes Dimlo, Sreenu Banoth, Priti Bihade et al.The identification of kidney stones using CT scans is an essential but difficult effort in medical diagnostics, frequently obstructed by imaging noise and the complexity of manual interpretation. Although conventional methods are widely used, they suffer from inaccuracies and inefficiencies, necessitating the development of automated diagnostic solutions. This study tackles these issues by presenting HDCNRNet, a hybrid deep learning network … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 2,174 accessesView PDFCite
Case ReportOpen accessIn the abstractEnergy Positive Futures: A Critical Overview of Energy Plus BuildingsErdem CuceEnergy Plus Buildings (EPBs) represent a transformative leap in sustainable architecture by producing more energy than they consume annually. As nations commit to net-zero targets and climate resilience, EPBs serve as living laboratories for integrating renewable energy, energy-efficient systems, and smart technologies. This editorial synthesises current advancements, policy frameworks, and technological integrations enabling EPBs. It also critically examines the barriers, … …Energy Research Journal, Vol. 14, Issue 1 · 8 Jan 2026 · 2,931 accessesView PDFCite
Research ArticleOpen accessIn the abstractLT-LBP-Based Spatial Texture Feature Extraction with Deep Learning for X-Ray ImagesPankaja Lakshmi P., Sivagami M.The novel logarithmic transformation of Local Binary Pattern (LT-LBP) for texture feature extraction is used with Deep Learning (DL) models. The Computational complexity in the DL models asymptotically increases with the data sesssst and the depth of the layers in Convolutional Neural Networks (CNN). Pre-processing the images before training the DL model holds a strong impact on the operation speed … …Journal of Computer Science, Vol. 20, Issue 1 · 18 Dec 2023 · 7,195 accessesView PDFCite