Computational fluid dynamics modelling of hemodynamics in aortic aneurysm and dissection: a review by Mengqiang Hu, Mengqiang Hu, Bing Chen, Bing Chen, Yuanming Luo

“…Hemodynamic analysis based on computational fluid dynamics (CFD) modelling is expected to improve risk stratification for patients with aortic aneurysms and dissections. …”
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MULTISLICE COMPUTED TOMOGRAPHY TO MEASURE VISCERAL FAT AREA IN PATIENT WITH ASTHMA AND OBESITY by N. S. Serova, N. V. Chichkova, A. A. Gasparyan, L. B. Kapanadze, V. V. Fomin

“…Additionally the patient was given a multislice computed tomography to measure the visceral and subcutaneous fat areas, followed by an evaluation of the obtained data and a collation of the parameters with clinical and anthropometric characteristics.…”
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Using The Hybrid GA-Ant Algorithm To Find The Optimal Path In Computer Networks by Ibtisam Turki

“…This paper is an attempt to propose a new H design mixed algorithm (ACO-GA) that includes the best features of both ACO and GA with a new application that combines both previous algorithms called( H- Hybrid (ACO-GA) hybrid algorithm technology, which differs in its parameters. …”
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IMPROVEMENT OF EXPERT ANALYSIS FOR ROAD TRAFFIC ACCIDENTS USING COMPUTER SIMULATION PROGRAMS by S. A. Azemsha, V. N. Galushko, S. V. Skirkovski

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Personalized client-edge-cloud hierarchical federated learning in mobile edge computing by Chunmei Ma, Xiangqian Li, Baogui Huang, Guangshun Li, Fengyin Li

“…Abstract Mobile edge computing aims to deploy mobile applications at the edge of wireless networks. …”
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Optimising complexity and learning for photonic reservoir computing with gain-controlled multimode fibres by Giulia Marcucci, Luana Olivieri, Juan Sebastian Totero Gongora

“…We discuss the physical origin of the optimal regions by analysing the information theory and linear algebra properties of the readout matrix, unveiling a deep connection between the computational performance of the system and the Kolmogorov algorithmic complexity of the nonlinear features generated by the reservoir. …”
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Computational modeling of visual salience alteration and its application to eye-movement data by Yoshihisa Fujita, Toshiya Murai, Jun Miyata, Jun Miyata

“…It handles diverse image-derived features, as seen in functional approximation models, while implementing center-surround competition—the core process of salience computation—via an artificial neural network, akin to neurobiological models. …”
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The utility of preoperative computed tomography-guided screw marking in thoracic spine surgery by Christopher Marvin Jesse, Aatharshan Kannathasan, Ralph T. Schär, Johannes Goldberg, Andreas Raabe, Jan Gralla, Johannes Kaesmacher, Tomas Dobrocky, Eike Immo Piechowiak

“…Data included clinical features, radiological parameters, and complications. …”
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IoT‐Based Elderly Health Monitoring System Using Firebase Cloud Computing by Adhan Efendi, Muhammad Imam Ammarullah, Indra Griha Tofik Isa, Meli Puspita Sari, Jasmine Nurul Izza, Yohanes Sinung Nugroho, Hamid Nasrullah, Denny Alfian

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Lightweight interactive feature inference network for single-image super-resolution by Li Wang, Xing Li, Wei Tian, Jianhua Peng, Rui Chen

“…However, these networks commonly construct complex structures, having huge model parameters and high computational costs, to boost reconstruction performance. …”
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Study of kinetic performance effect on wheel and rail wear using computer simulation by Nikolay V. Limarenko, Victor P. Zharov, Yury V Panov, Boris G Shapoval

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Facial Feature Extraction Algorithm Based on Improved YOLOv7-Tiny by Yining Yao, Yawen Wang, Changyuan Wang, Yibo Zhang, Tingting Liu, Gaofeng Wang

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Extensive Feature-Inferring Deep Network for Hyperspectral and Multispectral Image Fusion by Abdolraheem Khader, Jingxiang Yang, Sara Abdelwahab Ghorashi, Ali Ahmed, Zeinab Dehghan, Liang Xiao

“…The mathematical solutions class has serious challenges, e.g., computation cost, manually tuning parameters, and the absence of imaging models that laboriously affect the fusion process. …”
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Review of Brain Computer Interface Technology in the Treatment of Motor Dysfunction after Stroke by Yulian ZHU, Sijie LIANG

“…We had reviewed the researches on brain computer interface (BCI) technology in the treatment of motor dysfunction after stroke by scholars from domestic and foreign, to explain in four aspects, such as definition and classification, working principle and theoretical basis in clinical treatment, specific clinical application and the existing problems. …”
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Intelligent anti-jamming communication technology with electromagnetic spectrum feature cognition. by Hui Zhao, Guobin Zhao, Xichun Wang, Zhonghui Zhang, Xianchao Xun

“…By extracting and processing signal features through deep neural networks, and dynamically adjusting communication strategies with near-end optimization, the model effectively addresses the recognition and prediction of signal transmission feature parameters in target communication systems, generates interference signals with the same feature parameters, and achieves effective interference suppression. …”
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Grape Leaf Diseases Identification System Using Convolutional Neural Networks and LoRa Technology by Zinon Zinonos, Socratis Gkelios, Ala F. Khalifeh, Diofantos G. Hadjimitsis, Yiannis S. Boutalis, Savvas A. Chatzichristofis

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Cascaded Feature Fusion Grasping Network for Real-Time Robotic Systems by Hao Li, Lixin Zheng

“…The network employs innovative structural designs, including depth-wise separable convolutions to reduce parameters and enhance computational efficiency; convolutional block attention modules to augment the model’s ability to focus on key features; multi-scale dilated convolution to expand the receptive field and capture multi-scale information; and bidirectional feature pyramid modules to achieve effective fusion and information flow of features at different levels. …”
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FRANet: A Feature Refinement Attention Network for SAR Image Denoising by Shuaiqi Liu, Yu Lei, Qi Hu, Ming Liu, Bing Li, Weiming Hu, Yu-Dong Zhang

“…Second, a feature attention encoder–decoder network is constructed for deep feature extraction. …”
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Feature Integration Strategies for Neural Speaker Diarization in Conversational Telephone Speech by Juan Ignacio Alvarez-Trejos, Alicia Lozano-Diez, Daniel Ramos

“…Moreover, through comprehensive ablation studies of GeMAPS features, we identify optimal acoustic parameters and temporal contexts for diarization tasks, achieving a reduced feature set that maintains performance while decreasing computational complexity. …”
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Feature enhanced cascading attention network for lightweight image super-resolution by Feng Huang, Hongwei Liu, Liqiong Chen, Ying Shen, Min Yu

“…Abstract Attention mechanisms have been introduced to exploit deep-level information for image restoration by capturing feature dependencies. However, existing attention mechanisms often have limited perceptual capabilities and are incompatible with low-power devices due to computational resource constraints. …”
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