A Quantum Framework for Combinatorial Optimization Problem over Graphs by Meng Shi, Sai Wu, Ying Li, Gongsheng Yuan, Chang Yao, Gang Chen

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Impact of nanoparticle shapes on the heat transfer properties of Cu and CuO nanofluids flowing over a stretching surface with slip effects: A computational study by Algehyne Ebrahem A., Yasmin Humaira, Alamrani Fahad Maqbul, Alduais Fuad S., Al-Bossly Afrah

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Acceptance of a computer vision facilitated protocol to measure adherence to face mask use: a single-site, observational cohort study among hospital staff by Giovanni Traverso, Adam B Landman, Peter R Chai, Hen-Wei Huang, Jack Chen, Farah Dadabhoy, Phillip Rupp, Clint Vaz, Anjali Sinha, Claas Ehmke, Akhil Thomas, Jia Y Liang, George Player, Kevin Slattery

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Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence by Lesia Mochurad, Viktoriia Babii, Yuliia Boliubash, Yulianna Mochurad

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Uncovering and estimating complementarity in urban lives by Xin Liu, Konstantinos Pelechrinis

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Effect of Triangular Lip Wall on the Performance of a Stationary Oscillating Water Column Device at Various Wave Conditions Using Reynolds-averaged Navier-Stokes (RANS) Model by R. Ranjan Manjul, P. Deb Roy

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Entrepreneurial strategies for sustainable growth: a deep dive into cloud-native technology and its applications by T. A. Alka, Aswathy Sreenivasan, M. Suresh

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Cloud Service Broker Using Ontology-Based System by Neeraj Kumar Singh, Abhishek Jain, Shruti Arya, Pawan Bhambu, Tanya Shruti, Vipin Kumar Chaudhary

“…Cloud computing offers more advantages to clients and associations regarding capital uses and working cost investment funds. …”
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Artificial Intelligence for Wireless Communications: The InSecTT Perspective by Ramiro Samano Robles, Gowhar Javanmardi, Christoph Pilz, Przemyslaw Kwapisiewicz, Mateusz Rzymowski, Lukasz Kulas, Luca Davoli, Laura Belli, Gianluigi Ferrari, Bernd-Ludwig Wenning, Bugra Gonca, R. Venkatesha Prasad, Ashutosh Simha, Markku Kiviranta, Ilkka Moilanen, Sean Robinson, Gennaro Cirillo, Mujdat Soyturk, Yavuz Selim Bostanci, Leander B. Hormann

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Towards an Energy Consumption Index for Deep Learning Models: A Comparative Analysis of Architectures, GPUs, and Measurement Tools by Sergio Aquino-Brítez, Pablo García-Sánchez, Andrés Ortiz, Diego Aquino-Brítez

“…Energy measurements are obtained using sensor-based tools, including OpenZmeter (v2) with integrated electrical sensors. …”
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The influence of experimental imperfections on photonic GHZ state generation by Fabian Wiesner, Helen M Chrzanowski, Gregor Pieplow, Tim Schröder, Anna Pappa, Janik Wolters

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Pulscan: Binary Pulsar Detection Using Unmatched Filters on NVIDIA GPUs by Jack White, Karel Adámek, Jayanta Roy, Scott M. Ransom, Wesley Armour

“…Next-generation radio telescopes such as the SPOTLIGHT project at the Giant Metrewave Radio Telescope (GMRT) produce data at rates that mandate real-time processing, as storage of the entire captured data set for subsequent offline processing is infeasible. The computational demands of FDAS and FDJS make them challenging to implement in real-time detection pipelines, requiring costly high-performance computing facilities. …”
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The RaDiCo information system for rare disease cohorts by Paul Landais, Sonia Gueguen, Annick Clement, Serge Amselem, for the RaDiCo Program

“…Results RaDiCo IS favours a secure, open-source web application in order to implement and manage online databases and give patients themselves the opportunity to collect their data. …”
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Policy conflict detection in software defined network by using deep learning by Chuanhuang LI, Cheng CHENG, Xiaoyong YUAN, Lijie CEN, Weiming WANG

“…In OpenFlow-based SDN(software defined network),applications can be deployed through dispatching the flow polices to the switches by the application orchestrator or controller.Policy conflict between multiple applications will affect the actual forwarding behavior and the security of the SDN.With the expansion of network scale of SDN and the increasement of application number,the number of flow entries will increase explosively.In this case,traditional algorithms of conflict detection will consume huge system resources in computing.An intelligent conflict detection approach based on deep learning was proposed which proved to be efficient in flow entries’ conflict detection.The experimental results show that the AUC (area under the curve) of the first level deep learning model can reach 97.04%,and the AUC of the second level model can reach 99.97%.Meanwhile,the time of conflict detection and the scale of the flow table have a linear growth relationship.…”
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Enhanced OCV Estimation in LiFePO4 Batteries: A Novel Statistical Approach Leveraging Real-Time Knee/Elbow Detection by Teodor-Iulian Voicila, Bogdan-Adrian Enache, Vasilis Argyriou, Panagiotis Sarigiannidis, Mihai-Alexandru Pisla, George-Calin Seritan

“…A critical parameter in optimizing the performance of LFP batteries is the open-circuit voltage (OCV), essential for accurate state of charge (SoC) estimation. …”
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Unleashing the hidden powers of low-cost IoT boards: GPU-based edutainment case study by Marwa K. Elteir, Shaimaa Lazem, Mohamed Azab

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Parallel CUDA-Based Optimization of the Intersection Calculation Process in the Greiner–Hormann Algorithm by Jiwei Zuo, Junfu Fan, Kuan Li, Qingyun Liu, Yuke Zhou, Yi Zhang

“…This method allocates a thread to each edge of the subject polygon, determines in parallel whether it intersects with each edge of the clipping polygon, transfers the number of intersection points back to the CPU for calculation, and opens up corresponding storage space on the GPU side on the basis of the total number of intersection points; then, information such as intersection coordinates is calculated in parallel. …”
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Exploring the thermal behavior of Cu-water and CuO-water power-law nanofluids on a rotating circular disc: A computational analysis by Abuzar Ghaffari, Irfan Mustafa, Maria Qibtia, Usman, Taseer Muhammad, Hammad Khalil, Ijaz Ali

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Hic sunt leones. Iconographic analysis and computational modelling for the study of the Iron Age free-standing lions of the Elbistan plain (south-eastern Anatolia) by Francesco Di Filippo, Federico Manuelli

“…This region is also characterized by the presence of sets of anepigraphic portal lions, positioned seemingly at random in the open landscape and with no apparent relationship with coeval archaeological remains, which have never been concretely integrated into the historical picture. …”
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MITSGRN: A Novel Computational Framework for Reconstructing Sleep Rhythm Gene Regulatory Networks Based on Mutual Information and Time-Series Big Data by Zhenyu Liu, Jiangqian Zuo, Qian Cao, Zheng Lu, Tao Li

“…We systematically evaluate the performance of our method using BEELINE open-source datasets of varying scales, with precision, recall, and cross-validation accuracy as evaluation metrics. …”
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