Physical Constraint Preserving Higher-order Finite Volume Schemes for Divergence-free Astrophysical MHD and RMHD by Dinshaw S. Balsara, Deepak Bhoriya, Chetan Singh, Harish Kumar, Roger Käppeli, Federico Gatti

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Preventing face morphing attacks by using legacy face images by Ilias Batskos, Florens F. deWit, Luuk J. Spreeuwers, Raymond J. Veldhuis

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Enhanced Spatial Clustering for Crime Analysis: Novel Advances in Ward-Like and SKATER Algorithms for Brazilian Public Security by Raydonal Ospina, Alexsandra Gomes De Lima, Cristiano Ferraz, Cecilia Castro, Carlos Martin-Barreiro, Victor Leiva

“…The resulting clusters partly, but not fully, coincide with Recife&#x2019;s official Integrated Security Areas (&#x00C1;reas Integradas de Seguran&#x00E7;a in Portuguese), suggesting that a data-driven redrawing of boundaries could improve police resource allocation and the monitoring of local safety policies. All computations were performed in the <monospace>R</monospace> software and both the code and methods are readily transferable to other cities facing similar crime-mapping challenges.…”
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Improved salp swarm algorithm based optimization of mobile task offloading by Aishwarya R., Mathivanan G.

“…Background The realization of computation-intensive applications such as real-time video processing, virtual/augmented reality, and face recognition becomes possible for mobile devices with the latest advances in communication technologies. …”
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Robust face mask detection in complex scenarios using YOLOv8 and context-aware convolutions by Yingjie Wei, Huili Li, Yuanfei He, Li Li, Qiongshuai Lyu, Yu Yang

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Systematic review: progress in EEG-based speech imagery brain-computer interface decoding and encoding research by Ke Su, Liang Tian

“…The neural decoding section offers an in-depth analysis of the applications and performance of machine learning and deep learning algorithms. Finally, the challenges faced by current research are summarized, and future directions are outlined. …”
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Creating a Newer and Improved Procedural Content Generation (PCG) Algorithm with Minimal Human Intervention for Computer Gaming Development by Lazaros Lazaridis, George F. Fragulis

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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

“…Key aspects of the detection algorithm and feedback were described to participants, who then completed a quantitative assessment to understand their perceptions and acceptance of interacting with the system to detect their mask adherence.Outcome measures Primary outcomes were willingness to interact with the mask system, and the degree of comfort participants felt in interacting with a public facing computer vision mask algorithm.Results One hundred and eleven participants with mean age 40 (SD15.5) were enrolled in the study. …”
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Dynamic multi-criteria scheduling algorithm for smart home tasks in fog-cloud IoT systems by Ruchika Bhakhar, Rajender Singh Chhillar

“…However, DMCS also faces limitations, including computational overhead and scalability issues in larger networks. …”
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Computer networks anomaly detection by using PCA & pattern recognition by Elham Bideh, Javad Vahidi

“…The detection of anomalies in computer networks is one of the most considerable challenges that experts in this field are facing nowadays. …”
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Study on the gas outflow pattern and outflow prediction model of the return mining face under complex geological conditions by Yi Sun, Lulin Zheng, Hong Lan, Zhaoxing Yu, Jin Wang, Bo Li, Feng Yang, Fangbo Wen

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Discriminant Phase Component for Face Recognition by Naser Zaeri

“…Most of current algorithms for face recognition involve considerable amount of computations and hence they cannot be used on devices constrained with limited speed and memory. …”
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A survey on localization and energy efficiency in UWSN: bio-inspired approach by J. Murali, T. Shankar

“…A significant issue UWSNs face is focusing on energy efficiency to extend the life of submerged sensors placed in isolated areas. …”
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Transferring Face Recognition Techniques to Entomology: An ArcFace and ResNet Approach for Improving Dragonfly Classification by Zhong Li, Shaoyan Pu, Jingsheng Lu, Ruibin Song, Haomiao Zhang, Xuemei Lu, Yanan Wang

“…The model is mainly built based on the classic face recognition algorithm (ResNet50+ArcFace), and ResNet50 is used as the comparison algorithm for model performance. …”
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Historical Blurry Video-Based Face Recognition by Lujun Zhai, Suxia Cui, Yonghui Wang, Song Wang, Jun Zhou, Greg Wilsbacher

“…Face recognition is a widely used computer vision, which plays an increasingly important role in user authentication systems, security systems, and consumer electronics. …”
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Quantum Testing of Recommender Algorithms on GPU-Based Quantum Simulators by Chenxi Liu, W. Bernard Lee, Anthony G. Constantinides

“…This study explores the application of quantum computing in asset management, focusing on the use of the Quantum Approximate Optimization Algorithm (QAOA) to solve specific classes of financial asset recommendation problems. …”
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Domain-Specific Languages for Algorithmic Graph Processing: A Systematic Literature Review by Houda Boukham, Kawtar Younsi Dahbi, Dalila Chiadmi

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Modeling Social Evolution, Involution, and Indeterminacy: A Neutrosophic-Cultural Algorithm Approach by Florentin Smarandache, Antonios Paraskevas

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Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“…Automatic picking equipment combined with computer vision often uses object detection algorithms to identify objects, and object detection algorithms can be divided into both traditional algorithms and deep learning-based object detection algorithms. …”
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Face Detection and Recognition using Color Segmentation,Template Matching and Gabor Neural Network with Fuzzy System by Mays Kareem Jabbar, Maab Alaa Hussain, Thaar A. Kareem

“…While implementing the proposed algorithm, a tradeoff between accuracy and computational complexity of the algorithm are made, because the face recognition system is implemented on a device with limited hardware capabilities …”
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