A Hybrid RBF-PSO Framework for Real-Time Temperature Field Prediction and Hydration Heat Parameter Inversion in Mass Concrete Structures by Shi Zheng, Lifen Lin, Wufeng Mao, Yanhong Wang, Jinsong Liu, Yili Yuan

“…The hybrid F₃, incorporating Dynamic Time Warping (DTW) for elastic time alignment and feature penalties for engineering-critical metrics, achieved superior performance with a 74% reduction in the prediction error (mean MAE = 1.0 °C) and <2% parameter identification errors, resolving the phase mismatches inherent in F₂ and avoiding F₁’s prohibitive computational costs (498 FEM calls). …”
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Mechanistic computational modeling of sFLT1 secretion dynamics. by Amy Gill, Karina Kinghorn, Victoria L Bautch, Feilim Mac Gabhann

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A computational study of stimulus driven epileptic seizure abatement. by Peter Neal Taylor, Yujiang Wang, Marc Goodfellow, Justin Dauwels, Friederike Moeller, Ulrich Stephani, Gerold Baier

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COMPUTED TOMOGRAPHY IN STUDYING THE SURGICAL ANATOMY OF THE POSTERIOR CRANIAL FOSSA by S. V. Ishkov

“…Objective: to determine the individual roentgenometric parameters of the posterior cranial fossa and the specific features of the location of brain structures on computed tomography scans in terms of their possible use on planning surgical approaches.Material and methods. …”
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Investigation of a Markov Model for Computer System Security Threats by Alexey A. A. Magazev, Valeria F. Tsyrulnik

“…In this work, a model for computer system security threats formulated in terms of Markov processes is investigated. …”
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Ten recommendations for scanning foraminifera by X-ray computed tomography by A. Searle-Barnes, A. Brombacher, A. Brombacher, O. Katsamenis, O. Katsamenis, K. Rankin, M. Mavrogordato, T. Ezard

“…</p> <p>In our case study, the highest beam power resulted in the widest contrast between the subject of interest and the background, allowing the easiest threshold-based segmentation of the object and aiding computers in automated feature extraction.</p> <p>The values of these parameters can exhibit significant variability across individuals, based on the specific needs of the study, the equipment used, and the unique attributes of the samples under consideration. …”
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Adaptive feature interaction enhancement network for text classification by Rui Su, Shangbing Gao, Kefan Zhao, Junqiang Zhang

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Detection of Pathogenic Microorganisms by Fusion of Recursive Feature Pyramid by HUANGZhitian, XIEYining, ZHAOJing, HEYongjun

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An improved electrocardiogram arrhythmia classification performance with feature optimization by Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, Muhammad Naufal Rachmatullah, Firdaus Firdaus, Ade Iriani Sapitri, Anggun Islami, Jordan Marcelino, Rendy Isdwanta, Muhammad Ikhwan Perwira

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Drowsiness Detection in Drivers Using Facial Feature Analysis by Ebenezer Essel, Fred Lacy, Fatema Albalooshi, Wael Elmedany, Yasser Ismail

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A Lightweight Multi-Scale Context Detail Network for Efficient Target Detection in Resource-Constrained Environments by Kaipeng Wang, Guanglin He, Xinmin Li

“…Extensive evaluations highlight the effectiveness of MSCDNet, which achieves 40.1% mAP50-95, 86.1% precision, and 68.1% recall while maintaining a low computational load with only 2.22 M parameters and 6.0 G FLOPs. …”
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A comparison of mantle convection models featuring plates by C. Stein, J. P. Lowman, U. Hansen

“…To allow plate behavior to arise naturally in numerical mantle convection models, self‐consistent plate generation methods apply a fully rheological approach (featuring a temperature‐, pressure‐ and stress‐dependent viscosity). …”
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Multi-model machine learning framework for lung cancer risk prediction: A comparative analysis of nine classifiers with hybrid and ensemble approaches using behavioral and hematolo... by Vinod Kumar, Chander prabha, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

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LitePipeNet: Research on a Lightweight and Efficient Segmentation Model for UAV Pipeline Inspection in Mining Areas by Huang Yong, Xiao Shengwang, Xia Xing, Huang Qiu

“…LitePipeNet integrates Multi-Path Weight Convolution (MPWConv) for enhanced perception, a Lightweight Bidirectional Feature Pyramid Network (LBiFPN) for efficient feature fusion, and a Multi-Level Decoupled Segmentation Head (MLHead) to optimize segmentation. …”
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HiEE: Hierarchical feature fusion for Chinese event extraction by Shuxiang Hou, Yurong Qian, Jiaying Chen, Jigui Zhao, Huiyong Lv, Hongyong Leng

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Radiomics model based on dual-energy CT venous phase parameters to predict Ki-67 levels in gastrointestinal stromal tumors by Wen-hua Liu, Wen-hua Liu, Min Li, Guo-qiang Ren, Zhi-yang Tang, Xiu-hong Shan, Ben-qiang Yang

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Blockchain enhanced distributed denial of service detection in IoT using deep learning and evolutionary computation by V. V. S. H. Prasad, Swathi Sowmya Bavirthi, C. S. S. Anupama, E. Laxmi Lydia, K. Sathesh Kumar, Khalid Ammar, Mohamad Khairi Ishak

“…Furthermore, data preprocessing utilizes the min-max scaling method to convert input data into a beneficial format. Additionally, feature selection (FS) is performed using the Aquila optimizer (AO) technique to recognize the most relevant features from input data. …”
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Heterogeneous appetite patterns in depression: computational modeling of nutritional interoception, reward processing, and decision-making by Yuuki Uchida, Yuuki Uchida, Takatoshi Hikida, Manabu Honda, Yuichi Yamashita

“…Furthermore, effects of interoception manipulation were compared with traditional reinforcement learning parameters (e.g., inverse temperature β and delay discount γ), which represent cognitive-behavioral features of depression. …”
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Reconstruction, Segmentation and Phenotypic Feature Extraction of Oilseed Rape Point Cloud Combining 3D Gaussian Splatting and CKG-PointNet++ by Yourui Huang, Jiale Pang, Shuaishuai Yu, Jing Su, Shuainan Hou, Tao Han

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Features of Generation, Propagation and Application of Special Ultrasonic Impulses in Viscous Liquids by Oleg M. Gradov

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