Research ArticleOpen accessIn the abstractImplementing the Current Science and Citizenship Mandates: A Learning Theory Analysis and Set of RecommendationsLisa Erikson, James CarifioProblem statement: The purpose of this research was to use learning theory to analyze the relationships between current views of citizenship, citizenship education, science and science education to develop a reasonably coherent and integrated view and approach to science and citizenship mandates that can be successfully implemented in our schools. Approach: The three models of citizenship education currently competing for … …Journal of Social Sciences, Vol. 5, Issue 3 · 30 Sep 2009 · 7,781 accessesView PDFCite
Research ArticleOpen accessIn the abstractSingle-Electron Transistor (SET) Process and Device Simulation Using SYSNOPSYS TCAD ToolsUda Hashim, Amiza RasmiSimulation of semiconductor device fabrication and operation is important to the design and manufacture of integrated circuits because it provides insights into complex phenomena that cannot obtained through experimentation or simple analytic models. Process and device simulation is commonly using for the design of new very large scale integration (VLSI) devices and processes. Simulation programs serves as exploratory tools in … …American Journal of Applied Sciences, Vol. 3, Issue 7 · 31 Jul 2006 · 7,420 accessesView PDFCite
Research ArticleOpen accessIn the abstractExtending UML-RT for Control System ModelingQimin Gao, L. J. Brown, L. F. CapretzThere is a growing interest in adopting object technologies for the development of real-time control systems. Several commercial tools, currently available, provide object-oriented modeling and design support for real-time control systems. While these products provide many useful facilities, such as visualization tools and automatic code generation, they are all weak in addressing the central characteristic of real-time control systems design, … …American Journal of Applied Sciences, Vol. 1, Issue 4 · 31 Dec 2004 · 6,746 accessesView PDFCite
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 · 1,761 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordRoute Optimization using Hybrid GRU Learning Model for SDN and Edge-Based VANET TopologySavitha Kumar, Chandrasekar ChinnasamyIntelligent Transportation System (ITS) offersoutstanding features, including security applications and emergency alerts.Unfortunately, ITS limits traffic control services, adaptability, andadjustability due to the traffic volume. Hence, expanding the standard VehicularAd hoc Networks (VANET) framework is a requirement. As a result, in the latestdays, the concept of Software-Defined Networking based Vehicular Ad hocNetworks (SDN-VANETs) has drawn considerable attention, creating VANETssmarter. The SDN-VANETs … …Journal of Computer Science, Vol. 18, Issue 8 · 26 Aug 2022 · 6,169 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn Integrated Framework to Predict the Strength of New SMILE Using Graph Attention NetworkSandhi Kranthi Reddy, S. V. G. ReddyMachine Learning (ML) and Deep Learning (DL) have significantly advanced various fields, including healthcare, finance, autonomous systems, and scientific research. In healthcare, these technologies have been widely applied to disease prediction, such as cancer and diabetes. However, the challenge of drug resistance persists, creating a need for more effective drugs. Developing new drugs is a complex, expensive, and time-intensive process, … …Journal of Computer Science, Vol. 21, Issue 10 · 25 Nov 2025 · 2,167 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Generalized Discrete-Time Long Memory Volatility Model for Financial Stock ExchangeChin Wen CheongWe proposed a simple way to combine a few long memory models in financial market volatility modeling using daily, range and high frequency data. This model was able to fit the return, range of daily return or realized volatility under a parametric heavy-tailed distribution. Model was flexible to include additional volatility information as the contemporaneous variables. Empirical results found that … …American Journal of Applied Sciences, Vol. 4, Issue 12 · 31 Dec 2007 · 6,874 accessesView PDFCite
Research ArticleOpen accessAll words, across the record3D and 4D Printing as Integrated Manufacturing Methods of Industry 4.0Antreas Kantaros, Theodore Ganetsos, Dimitrios Piromalis3D printing, also known under the term additive manufacturing, is a technology that allows the creation of complex and highly detailed objects using a digital model and a number of materials, such as plastics, metals, and ceramics. 4D printing is an expansion of 3D printing that incorporates time, meaning that the material used in 3D printing can change shape or … …American Journal of Engineering and Applied Sciences, Vol. 16, Issue 1 · 4 Mar 2023 · 8,141 accessesView PDFCite