A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data by Ovais A Jaffery, Lea Melki, Gregory Slabaugh, Wilson W Good, Caroline H Roney

“…However, the optimal methods that can potentially constitute a clinically relevant in silico treatment are still being investigated and face limitations, such as uncertainty of electroanatomical data recordings, generation and calibration of models within clinical timelines and requirements to validate or benchmark the recovered tissue parameters. This paper is aimed at reporting techniques on the personalisation of cardiac computational models, with a focus on calibrating cardiac tissue conductivity based on electroanatomical mapping data.…”
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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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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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Computational fluid dynamics modelling of hemodynamics in aortic aneurysm and dissection: a review by Mengqiang Hu, Mengqiang Hu, Bing Chen, Bing Chen, Yuanming Luo

“…Additionally, the exact relationship between hemodynamic features and disease progression remains unclear. These challenges limit the clinical application of aortic hemodynamic models. …”
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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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Review of Brain Computer Interface Technology in the Treatment of Motor Dysfunction after Stroke by Yulian ZHU, Sijie LIANG

“…The work flow of BCI in treating stroke patients could be roughly divided into five steps: signal acquisition, preprocessing or signal enhancement, feature extraction, classification and control interface. …”
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A novel approach to skin disease segmentation using a visual selective state spatial model with integrated spatial constraints by Yu Bai, Hai Zhou, Hongjie Zhu, Shimin Wen, Binbin Hu, Haotian Li, Huazhang Wang, Daji Ergu, Fangyao Liu

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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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Develop Approach to Predicate Software Reliability Growth Model Parameters Based on Machine learning by anfal A. Fadhil, Asmaa’ H. AL_Bayati, Ibrahim Ahmed Saleh

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Fuzzy deep learning architecture for cucumber plant disease detection and classification by Anas Bilal, Junaid Ali Khan, Abdulkareem Alzahrani, Khalid Almohammadi, Maha Alamri, Xiaowen Liu

“…The architecture achieves 98% classification accuracy, outperforming leading models like VGG-19, DarkNet-19, and ResNet-50. Moreover, the computational time per run (40–90 s) is significantly lower than these models, which use higher learnable parameters (5.7 million). …”
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Pattern recognition method for the identification of Daiqu large yellow croaker based on computer vision by YU Xinjie, WU Xiongfei, SHEN Weiliang

“…First, 24 morphological parameters of Daiqu large yellow croaker were measured for both F₂ and F₃ generations by computer vision technology. …”
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Research on Clustering Based PWR pin-by-pin Homogenization Parameters Compression Method by LI Tianya1, 2, LUO Qi3, YAO Dong2, HE Caiyun1, CAI Yun2, WANG Dan1, DUAN Yongqiang1, LIAO Hongkuan1, XIAO Peng2

“…In the high-fidelity numerical calculation method of reactor physics, the pin-by-pin two-step method can achieve a balance between computational accuracy and computational cost, and is currently a feasible and realistic high fidelity numerical calculation method. …”

On the minimum number of radiation field parameters to specify gas cooling and heating functions by David Robinson, Camille Avestruz, Nickolay Y. Gnedin

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Lightweight Sheep Face Recognition Model Combining Grouped Convolution and Parameter Fusion by Gaochao Liu, Lijun Kang, Yongqiang Dai

“…Finally, parameter fusion optimization work was carried out for the detection head, and the construction of the Parameter Fusion Detection (PFDetect) module was achieved, which significantly reduced the number of model parameters and computational complexity. …”
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Learned Regularizations for Multi‐Parameter Elastic Full Waveform Inversion Using Diffusion Models by Mohammad H. Taufik, Fu Wang, Tariq Alkhalifah

“…Specifically, we first train the (unsupervised) diffusion model to understand the coupling relationship of the distribution of the elastic parameters and use the trained model in the inversion process with a negligible additional computational cost. …”
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