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322 articles for “simulated”
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Research ArticleOpen accessIn the abstractProgressive Damage Modelling of Transverse Impact Behavior of Adhesively Bonded Composite JointsDimitrios Athinaios, Konstantinos Tserpes, Giannis FlorosA three-dimensional dynamic numerical model was developed, using the commercially available finite element software LS-DYNA to simulate the Low Velocity Impact (LVI) case on bonded joints consisting of woven CFRP adherents. The adhesive failure simulated using the Cohesive Zone Method (CZM), while the failures in the composite material simulated using a progressive damage material model based on Hashin’s failure criteria. … …International Journal of Structural Glass and Advanced Materials Research, Vol. 4, Issue 1 · 3 Apr 2020 · 6,428 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplications of Machine Learning in Building Energy Prediction and SavingsPriyan Rai, Dr. Nabil Nassif, Kevin Eaton, Alexander RodriguesIn a constantly advancing world with growing needs, buildings play in important role in the daily functioning of the society. Developing more and more advanced techniques to optimize the working of these buildings is highly important for a constant growth. Modern computational techniques have opened doors to create advanced models that can utilize efficient techniques to produce highly accurate results. … …Energy Research Journal, Vol. 10, Issue 1 · 15 Mar 2019 · 8,041 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Dynamically Zero Trust and Risk Aware Cryptographic Orchestration Framework of Secure Multi Cloud Electronic Health RecordsD. Veerabhadra Rao, G. Appa Rao, S. AnuradhaThe adoption of multi-cloud infrastructures for Electronic Health Records (EHRs) improves scalability and accessibility but introduces security challenges such as fragmented trust management, high cryptographic overhead, and inefficient integrity verification. Existing frameworks rely on static authorization and uniform encryption mechanisms, which fail to dynamically evaluate behavioural risks associated with user access requests. Consequently, Distributed Trust Inconsistency, Cryptographic Scalability Saturation, and … …Journal of Computer Science, Vol. 22, Issue 10 · 7 Oct 2026 · 463 accessesView PDFCite
Research ArticleOpen accessIn the abstractTAGN-IDC: Implicit Discrete Constraints for Tsunami Aware Graph Neural Networks in Spatial Evacuation RoutingSularno, Wendi Boy, Putri Anggraini et al.Tsunami evacuation route requires rapid identification of safe evacuation paths under dynamically changing hazard conditions. A major challenge is incorporating hard binary road-blockage constraints caused by tsunami inundation while maintaining end-to-end differentiability for deep learning models. Existing approaches commonly rely on continuous relaxations or stochastic sampling techniques, which either compromise physical feasibility or increase computational complexity. This study proposes the … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 711 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Fault-Tolerant Majority Gate Architecture for Robust Operation in QCA-Based Nano CircuitsAmi Patel, Vrushank Shah, Dipti KhurgeQuantum Dot Cellular Automata (QCA) is one of the promising alternatives to the traditional CMOS technologies for next-generation nanocomputing, which can be integrated at a higher density and has a higher possibility of low power consumption. Fabrication defects, environmental noise, and fault tolerance, especially in larger circuits, are challenging for practical implementation of QCA circuits. A new Fault-Tolerant Majority Gate … …Journal of Computer Science, Vol. 22, Issue 7 · 7 Jul 2026 · 1,200 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntrusion-Resistant Multi-Hop Communication Protocol for Secure Wireless Sensor NetworksRakesh Ranjan, Vaishali Singh, Hitendra SinghModern Internet of Things (IoT) systems are based on Wireless Sensor Networks (WSNs), which can be distributed to various environments to perform a range of sensing and data aggregation. Their intrinsic deficiencies in computation, energy, and bandwidth, however, make them very vulnerable to routing-layer attacks like black hole and selective forwarding as well as Sybil intrusion. The current studies on … …Journal of Computer Science, Vol. 22, Issue 6 · 1 Jul 2026 · 943 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Fraud Detection Methods in Banking Using Machine Learning TechniquesYoussef Tounsi, Ennouri TaziFraud detection in banking requires algorithms that balance classification performance, computational efficiency, and regulatory interpretability, criteria that are rarely benchmarked together. We present a comprehensive evaluation of nine machine learning approaches (Logistic Regression, Decision Tree, Random Forest, SVM, SGD, XGBoost, CatBoost, LightGBM, and MLP) across three datasets differing in size, imbalance severity, and feature type (synthetic, real-world PCA-anonymized, and large-scale … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,351 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Quality of Service of Video Streaming Applications Over Vehicular Ad-Hoc NetworksPooja Sharma, Ajay KaulVehicular ad-hoc networks play quite an important role in communication as it is challenging to have communication across VANET nodes because of high mobility. Video streaming applications over ad-hoc networks are quite difficult because of more mobility of VANET nodes. There are various existing techniques to optimize or improve the video dissemination over ad-hoc networks. Video streaming applications need a … …Journal of Computer Science, Vol. 21, Issue 7 · 30 Jun 2025 · 3,393 accessesView PDFCite
Research ArticleOpen accessIn the abstractMethodology of the Development of Production Digital Twins Using a Simulation ExperimentSnježana Križanić, Neven VrčekThe simulation experiment evaluates whether the business process model accurately replicates real-world operations and whether the digital twin functions in real-time. A digital twin of a production business process is a virtual representation of its real-world counterpart. Its aim is to monitor the execution of the actual production business process in order to detect irregularities and production downtimes early and … …Journal of Computer Science, Vol. 21, Issue 6 · 13 Jun 2025 · 4,812 accessesView PDFCite
Research ArticleOpen accessIn the abstractNumerical Investigation of the Impact of Punch Speed on the Deep Drawing of Square Aluminum Sheet Using Finite Element MethodEhsan Hedayati, Arefeh Hedayati, Mohammad Vahedi, Shirko FaroughiThis study examines the Deep Drawing Process (DDP) of square aluminum sheets, emphasizing its applications across various industries, including medical devices. The process is simulated using ABAQUS finite element software, analyzing the effects of parameters like punch speed and friction on the final results. One of the important aspects of this study is the use of the Forming Limit Diagram … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 6 Feb 2025 · 8,719 accessesView PDFCite