Development of Quizizz-based Learning Media on Basic Computer and Network Subjects by Trully Yetti Puspita, Ganefri Ganefri

“…This study aims to develop Quizizz in basic computer and network subjects as a learning medium and to see the validity, practicality, and effectiveness of Quizizz as a learning medium in Basic Computer and Network subjects. …”
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Unlocking Wheat Drought Tolerance: The Synergy of Omics Data and Computational Intelligence by Marlon‐Schylor Le Roux, Karl J. Kunert, Christopher A. Cullis, Anna‐Maria Botha

“…This understanding can be significantly advanced with the aid of computational intelligence, more often referred to as artificial intelligence (AI) models, especially those leveraging machine learning and deep learning tools. …”
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Computer-Aided Quantum Algorithms for Real-Time Energy Market Trading by Jinghui Wu, Wenjun Zhu, Yun Xu, Kangan Shu, Wei Yang

“…The significance of this study lies in its contribution to advancing real-time trading strategy optimization through the synergistic use of machine learning and quantum computing. This approach offers potential applications across various financial sectors and domains requiring sophisticated real-time decision-making and optimization. …”
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Utility of Weight-Bearing Computed Tomography in the Postoperative Assessment of Ankle Fractures by Mateusz Malik, Jakub Kwiatkowski, Artur Gądek, Agnieszka Lechowska-Liszka, Henryk Liszka

“…Standard radiographs are typically used for postoperative assessment; however, some patients continue to experience residual symptoms despite satisfactory radiographic outcomes. …”
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Modeling Microplastic Dispersion in the Salado Estuary Using Computational Fluid Dynamics by Luis Velazquez-Araque, José Flor, Alfredo Méndez, Maritza Cárdenas-Calle

“…This study employs Computational Fluid Dynamics (CFD) simulations to model the trajectory of MPs in section B of the Salado Estuary in the city of Guayaquil, Ecuador, using ANSYS FLUENT 2024 R2. …”
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Cardiac Computed Tomography Measurements in Pulmonary Embolism Associated with Clinical Deterioration by Anthony J. Weekes, Angela M. Pikus, Parker L. Hambright, Kelly L. Goonan, Nathaniel O’Connell

“…Introduction: Most pulmonary embolism response teams (PERT) use a radiologist-determined right ventricle to left ventricle ratio (RV:LV) cut-off of 1.0 to risk-stratify pulmonary embolism (PE) patients. Continuous measurements from computed tomography pulmonary angiograms (CTPAs) may improve risk stratification. …”
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OBTAINING A UNIQUE SPLINE FUNCTION TO INTERPOLATE A POLYNOMIAL WITH LACUNARY DATA VALUES by Pankaj Kumar Tripathi, Kulbhushan Singh

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Enhancing DevOps Practices in the IoT–Edge–Cloud Continuum: Architecture, Integration, and Software Orchestration Demonstrated in the COGNIFOG Framework by Kostas Petrakis, Evangelos Agorogiannis, Grigorios Antonopoulos, Themistoklis Anagnostopoulos, Nasos Grigoropoulos, Eleni Veroni, Alexandre Berne, Selma Azaiez, Zakaria Benomar, Harry Kakoulidis, Marios Prasinos, Philippos Sotiriades, Panagiotis Mavrothalassitis, Kosmas Alexopoulos

“…The work emphasizes Continuous Integration/Continuous Deployment (CI/CD) practices, development, and versatile integration infrastructures. …”
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Zero Trust Strategies for Cyber-Physical Systems in 6G Networks by Abdulrahman K. Alnaim, Ahmed M. Alwakeel

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Zero-Trust Mechanisms for Securing Distributed Edge and Fog Computing in 6G Networks by Abdulrahman K. Alnaim, Ahmed M. Alwakeel

“…In this context, we propose ZTF-6G (Zero-Trust Framework for 6G Networks), a novel model that integrates Zero-Trust principles to secure distributed edge and fog computing environments. Robust security is ensured by ZTF-6G by adopting a “never trust, always verify” approach, which comprises adaptive authentication, continuous verification, and fine-grained access control against all entities within the network. …”
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Estimation of lower limb torque: a novel hybrid method based on continuous wavelet transform and deep learning approach by Shu Xu, Tao Wang, Zenghui Ding, Yu Wang, Tongsheng Wan, Dezhang Xu, Xianjun Yang, Ting Sun, Meng Li

“…Furthermore, the framework outperforms existing models in computational efficiency and real-time applicability, achieving a single-cycle inference time of 152.6 ms, suitable for portable biomechanical monitoring systems.…”
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Novel Application of Quantum Computing for Routing and Spectrum Assignment in Flexi-Grid Optical Networks by Oumayma Bouchmal, Bruno Cimoli, Ripalta Stabile, Juan Jose Vegas Olmos, Carlos Hernandez, Ricardo Martinez, Ramon Casellas, Idelfonso Tafur Monroy

“…This work lays the foundation for future exploration of quantum computing in solving large-scale RSA problems in EONs, with the prospect of achieving quantum advantage as quantum technology continues to advance.…”
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A Systematic Literature Review on Risk Assessment in Cloud Computing: Recent Research Advancements by Saadia Drissi, Meriyem Chergui, Zakaria Khatar

“…Cloud Computing serves as a service offering organizations a range of opportunities such as flexibility, scalability, and cost-effectiveness. …”
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Using Partial Reconfiguration and Message Passing to Enable FPGA-Based Generic Computing Platforms by Manuel Saldaña, Arun Patel, Hao Jun Liu, Paul Chow

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Enabling scalable single-cell transcriptomic analysis through distributed computing with Apache spark by Asif Adil, Namrata Bhattacharya, Aadam, Naveed Jeelani Khan, Mohammed Asger

“…Abstract As the field of single-cell genomics continues to develop, the generation of large-scale scRNA-seq datasets has become more prevalent. …”
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A Preliminary Exploration on the Terminology and Standard System for Computing Power-Electricity-Heat Synergy by WANG Yongzhen, HAN Yibo, GUO Kai, HAN Kai, HAN Te, FAN Junqiu

“…[Objective] As the energy consumption of data centers continues to grow and renewable electricity rapidly penetrates the market， the synergy between computing power， electricity， and heat can break the siloed development of these sectors， thereby promoting the high-quality and sustainable development of data centers and novel energy systems. …”
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Effects of Technology Adaptation and Perceived Value on Continuance Intention in M-commerce of Gen Z: Innovativeness as a Moderator by Minh-Tri Ha, Vuong-Bach Vo, Van-Ven Nguyen

“…The findings revealed that perceived value, exploitive technology adaptation, and mobile computing self-efficacy are positively influenced by continuance intention. …”
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Parameter Adaptive Manta Ray Foraging Optimization for Global Continuous Optimization Problems and Parameter Estimation of Solar Photovoltaic Models by Zhentao Tang, Kaiyu Wang, Yongxuan Yao, Mingxin Zhu, Lan Zhuang, Huiqin Chen, Jing Li, Li Yan, Shangce Gao

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Continual learning of a time series model using a mixture of HMMs with application to the IoT fuel sensor verification by Przemysław Głomb, Michal Cholewa, Pawel Foszner, Jakub Bularz

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Between app efficiency and user wellbeing: a cluster analysis on consumer types and continuance usage of food delivery app by Thu Thi Trinh, Xuan Tai Mai

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