Parallel Computing for Sorting Algorithms by Baghdad Science Journal

“…Sorting is of additional importance to parallel computing because of its close relation to the task of routing data among processes, which is an essential part of many parallel algorithms. …”
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Editorial: Advancing food processing: novel technologies and modeling techniques by Hongwei Zhang, Xinjun Cui, Aldonza Jaques, Helena Nunez

Subjects: “…novel food processing technologies…”
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Editorial: Reward processing in motivational and affective disorders, volume II by Frank Ryan, Poornima Kumar, Nikolina Skandali, Brendan D. Adkinson

Subjects: “…reward processing…”
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Detecting ADHD through natural language processing and stylometric analysis of adolescent narratives by Juan Barrios, Elena Poznyak, Jessica Lee Samson, Halima Rafi, Simon Gabay, Florian Cafiero, Martin Debbané, Martin Debbané

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THE STUDY OF SIMULATION ALGORITHMS OF NORMALLY DISTRIBUTED PROCESSES AND FIELDS WITH GIVEN CORRELATION FUNCTION by Anatoly Mihailovich Makarov, Igor Vladimirovich Kaliberda, Stepan Sergeyevich Postovalov

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Methods of evaluating the quality of rice grain and its processing products in foreign research by A. Y. Shazzo, V. A. Ziyatdinova, E. P. Viktorova, T. A. Shakhrai

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Face Detection Using Hybrid SNN-ANN to Process Neuromorphic Event Stream by Waseem Shariff, Paul Kielty, Joe Lemley, Peter Corcoran

“…This paper tackles the challenges of face detection, a vital computer vision task with wide-ranging applications, particularly in driver monitoring systems, where both accuracy and computational efficiency are crucial. …”
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TCN-QRNN model for short term energy consumption forecasting with increased accuracy and optimized computational efficiency by Lesia Mochurad, Roman Levkovych

“…Experimental results show that the proposed TCN-QRNN model outperforms traditional methods by 40% in accuracy compared to LSTM and by 8% in terms of metrics such as Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE) compared to TCN-LSTM, while reducing data processing time by 30%. Additionally, the model has a significantly smaller number of parameters than LSTM and GRU, making it suitable for environments with limited computational resources. …”
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AI-Based Load Balancing Using Decision Tree Regressor for Parallel Matrix Computation in Cloud Environments by Lina Sarkawt Hiwa, Zryan Najat Rashid

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Shanshan: a question-answering system for computer general courses with high throughput and low latency by YANG Yun, LIU Tianyang, WANG Shuo, SU Bin, PU Peng, LU Xuesong

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Geometric modeling of the process of digging trench pits during pipeline repair by F. N. Pritykin, I. S. Kuznetsov

“…The full cycle of the process of digging a pit with dumping of soil into a dump is also considered. …”
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Fog Computing: A Comprehensive Review of Architectures, Applications, and Security Challenges by Shatha A. Baker, Salar Jamal Rashid, Omar I. alsaif

“…Fog computing designs use a hierarchical approach, where the fog nodes act as an intermediary layer for local data processing and the cloud infrastructure acts as the top layer to support the fog nodes while the devices and sensors generate the data at the bottom layer. …”
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Convolutional networks can model the functional modulation of the MEG responses associated with feed-forward processes during visual word recognition by Marijn van Vliet, Oona Rinkinen, Takao Shimizu, Anni-Mari Niskanen, Barry Devereux, Riitta Salmelin

“…Traditional models of reading lack a realistic simulation of the early visual processing stages, taking input in the form of letter banks and predefined line segments, making them unsuitable for modeling early brain responses. …”
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Revisiting computer modeling by M. V. Yadrovskaya

“…They, in turn, mediate the process of mental modeling and broaden the basis for its implementation.…”
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Temporal-Logic-Based Testing Tool for Programs Using the Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) Programming Models by Salwa Saad, Etimad Fadel, Ohoud Alzamzami, Fathy Eassa, Ahmed Mohammed Alghamdi

“…Achieving such systems involves not only advancements in hardware but also the integration of multiple programming models to maximize computational efficiency. The dual programming model that combines the Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) is a common approach to enhance parallelism. …”
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Neuromorphic Computing for Smart Agriculture by Shize Lu, Xinqing Xiao

“…Neuromorphic computing has received more and more attention recently since it can process information and interact with the world like the human brain. …”
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Fast Collision Detection Method with Octree-Based Parallel Processing in Unity3D by Kunthroza Hor, Taeheon Kim, Min Hong

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Theoretical and Numerical Analysis for Design of High Ratio Fiber Optic Taper Drawing Process by Jiahui Liu, Lili Zheng

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Applications of Uncertainty Models as Support in Smart Buildings and Ethical Computing in Edge Computing of Smart Cities by Ying Li, Trip Huwan

“…The new smart city architecture based on the flexible deployment of edge computing and data slicing capabilities provides support for the transformation of smart city construction from hardware embedded technology, access means, and software data processing. …”
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