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55 results for “network planning”
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Research ArticleOpen accessAll words, across the recordIoT-Integrated CNN Deep Learning for Automated Breast Cancer Detection and DiagnosisYamini Kalva, R. Ganesh Babu, Sindhu V. et al.Breast cancer continues to be a primary cause of death in women, requiring prompt and accurate diagnosis to enhance treatment results. Traditional diagnostic techniques depend on manual assessment, which leads to possible misclassification, significant inter-observer variability, and delays in decision-making. Current deep learning models, including CNNs, frequently experience feature loss, gradient declining and restricted adaptability to real-time data. To overcome … …Journal of Computer Science, Vol. 22, Issue 4 · 30 Mar 2026 · 1,753 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordLung Cancer Detection Using Regularized Extreme Learning Machine and PCA FeaturesK. Kavitha, Dr. V. Saravana Kumar, V. Bhoopathy et al.When finding abnormalities in target images is time-sensitive, as it is with many cancer tumors, image processing techniques have recently found widespread use across various medical industries to improve images for early detection and treatment stages. In the setting of cancer, where time is of the essence in detecting anomalies within medical imaging, our research takes on further urgency. In … …Journal of Computer Science, Vol. 20, Issue 10 · 5 Aug 2024 · 5,302 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSystematic Literature Review of Graph Neural Networks in Disaster Management: Methods, Applications, and Future DirectionsSularno, Wendi Boy, Putri Anggraini et al.The increasing frequency and complexity of natural disasters underscore the urgent need for intelligent systems that support timely and effective decision-making. Graph Neural Networks (GNNs) have emerged as a powerful deep-learning paradigm for modeling spatial and relational data, offering distinct advantages for disaster management. This study presents a Systematic Literature Review (SLR) of GNN-based approaches for disaster mitigation, emergency response, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,036 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA 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 · 3,099 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordClassification of Geographical Land Structure Using Convolution Neural Network and Transfer LearningMustafa Majeed Abd Zaid, Ahmed Abed Mohammed, Putra SumariSatellite imagery has dramatically revolutionized the field of geography by giving academics, scientists, and policymakers unprecedented global access to spatial data. Manual methods typically require significant time and effort to detect the generic land structure in satellite images. This study can produce a set of applications such as urban planning and development, environmental monitoring, disaster management, etc. Therefore, the research … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Oct 2024 · 5,079 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIntegrating Renewable and Nonrenewable Energies in Power Plant PlanningHabib H. Al-Ali, Yousef Saif, Ali Elkamel, Ali LohiProblem statement: Electricity can be generated from different type of technologies such as fossil and non-fossil power plants. Among these technologies, coal-fired power plants have been a major route for electricity generation. Recently, environmental constraints were imposed over the coal power plant operations in order to reduce their emissions. Besides, renewable energy power plants such as hydroelectric, wind, solar and … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 2 · 30 Jun 2010 · 7,804 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordGroundwater in the Urban Environment: Management Needs and Planning StrategiesStefano Lo Russo, Glenda TaddiaProblem statement: Over the past thirty years urban transformations, such as urbanization, suburbanization, dis-urbanization and re-urbanization processes, have modified the subsurface conditions of Torino (NW Italy). In order to contribute to the solution of the problems concerning groundwater the conceptual model for the groundwater flow system, the schematization of the aquifers boundaries and the estimation of basic hydrogeological parameters are … …American Journal of Environmental Sciences, Vol. 5, Issue 4 · 31 Aug 2009 · 6,659 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordVisualization of Available Power Transfer Capability in a Transmission System Using Morphological TechniquesS. U. Prabha, B. S. Dayasagar, C. VenkataseshaiahA morphological decimation technique has been proposed and implemented to analyze the available power transfer capability in a transmission power network. The method creates a graphical image of the power network with thickness of the lines proportional to their respective rated megavolt ampere (MVA) capacity. Based on ac load flow solution, another image was created to represent the power flow … …American Journal of Applied Sciences, Vol. 6, Issue 2 · 28 Feb 2009 · 7,102 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOn Calculating Activity Slack in Stochastic Project NetworksGary MitchellProblem statement: Identifying critical tasks in a project network is easily done when task times are deterministic, but doing so under stochastic task times is problematic. The few methods that have been proposed contain serious drawbacks which lead to identifying critical tasks incorrectly, leaving project managers without the means to (1) identify and rank the most probable sources of project … …American Journal of Economics and Business Administration, Vol. 2, Issue 1 · 31 Mar 2010 · 8,227 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOntology-based Knowledge Networks for users' training: The Enterprise Resource Planning (ERP) caseMacris AristomenisThis paper presents a prototype model for the design and development of training material, where both the multimedia objects used in training scenarios and the knowledge built into them are captured and fully reusable. Knowledge found in the logic, the structure and the ways of use of domain specific literacy is represented as a knowledge network (a collection of educational … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 6,659 accessesView PDFCite