Application of Intravoxel Incoherent Motion in the Prediction of Intra-Tumoral Tertiary Lymphoid Structures in Hepatocellular Carcinoma by Ma L, Liao S, Zhang X, Zhou F, Geng Z, Hu J, Zhang Y, Zhang C, Meng T, Wang S, Xie C

“…The logistic regression algorithm was used to construct the prediction model based on the combination of these features. …”
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Non-destructive detection of internal quality of apple based on CT image by HUANG Taotao, SUN Teng, ZHANG Jingping

“…The pulp area can be well separated from the whole image by Otsu, as well as figuring out the CT average numbers. …”
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A selective CutMix approach improves generalizability of deep learning-based grading and risk assessment of prostate cancer by Sushant Patkar, Stephanie Harmon, Isabell Sesterhenn, Rosina Lis, Maria Merino, Denise Young, G. Thomas Brown, Kimberly M. Greenfield, John D. McGeeney, Sally Elsamanoudi, Shyh-Han Tan, Cara Schafer, Jiji Jiang, Gyorgy Petrovics, Albert Dobi, Francisco J. Rentas, Peter A. Pinto, Gregory T. Chesnut, Peter Choyke, Baris Turkbey, Joel T. Moncur

“…Training and validation of algorithms for cancer detection and grading were completed with three large datasets containing a total of 580 whole-mount prostate slides from 191 RP patients at two centers and 6218 annotated needle biopsy slides from the publicly available Prostate Cancer Grading Assessment dataset. …”
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A MODEL OF THE ENGLISH-UKRAINIAN SUB-CORPUS OF TEXTS OF NATO, UN AND WTO OFFICIAL AND BUSINESS DOCUMENTS by Yuliya I. Demyanchuk

“…The final stage of the research confirmed the expediency of the division of the whole process of sub-corpus formation into elementary tasks. …”
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Artificial intelligence in automatic image segmentation system for exploring recurrence patterns in small cell carcinoma of the lung by Jing Shen, Shaobin Wang, Hui Guan, Mingyi Di, Zhikai Liu, Qi Chen, Mei Li, Jie Shen, Ke Hu, Fuquan Zhang

“…From this, a recurrence prediction model for small cell lung cancer was developed using a random forest algorithm, achieving a clinically significant accuracy rate of 77%. …”
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Laser-induced Breakdown Spectroscopy Based on Pre-classification Strategy for Quantitative Analysis of Rock Samples by Weiheng KONG, Lingwei ZENG, Yu RAO, Sha CHEN, Xu WANG, Yanting YANG, Yixiang DUAN, Qingwen FAN

“…The samples were divided into two major categories of felsic rocks and mafic rocks using the kNN algorithm, and then six categories were formed by the SVM algorithm. …”
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Predicting Resistance to Immunotherapy in Melanoma, Glioblastoma, Renal, Stomach and Bladder Cancers by Machine Learning on Immune Profiles by Guillaume Mestrallet

“…While previous work on glioblastoma with only one type of algorithm had an accuracy of 0.82, we managed to develop 20 models that provided estimates of future events of resistance or response in five cancer types, with accuracies ranging between 0.79 and 1, based on their distinct immune characteristics. …”
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ICESat-2 Performance for Terrain and Canopy Height Retrieval in Complex Mountainous Environments by Lianjin Fu, Qingtai Shu, Cuifen Xia, Zeyu Li, Xiao Zhang, Yiran Zhang

“…To achieve this, ICESat-2 ATL03 Version 6 photon data were processed using a novel adaptive DBSCAN algorithm (BDT-ADBSCAN) in Pu’er City, China, a biodiversity hotspot, and results were validated against airborne LiDAR. …”
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From genetic data to kinship clarity: employing machine learning for detecting incestuous relations by Dejan Šorgić, Aleksandra Stefanović, Mladen Popović, Dušan Keckarević

“…Several machine learning algorithms and neural networks were tested for classification accuracy.Results:The CatBoost algorithm performed best in the binary classification of Normal Paternity vs. …”
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Performance Enhancement of GPS/INS Integrated Navigation System Using Wavelet Based De-noising method by narjes davari, Asghar Gholami, mohammad shabani

“…Before using inertial sensors signals in the data fusion algorithm, noise removal method should be performed, in which, wavelet decomposition method is used. …”
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Utilizing Enhanced Particle Swarm Optimization for Feature Selection in Gender-Emotion Detection From English Speech Signals by Ammar Amjad, Li-Chia Tai, Hsien-Tsung Chang

“…The gender-specific DGA-EBPSO algorithm incorporates a hybrid mutation strategy to improve feature selection efficiency and considers gender-based variations in emotional expression. …”
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Superficially Plausible Outputs from a Black Box: Problematising GenAI Tools for Analysing Qualitative SoTL Data by Mirjam Sophia Glessmer, Rachel Forsyth

“…We conclude that while results may look plausible initially, digging deeper soon reveals serious problems; the lack of transparency about how analyses are conducted and results are generated means that no reproducible method can be described. …”
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Poverty‐Armed Conflict Nexus: Can Multidimensional Poverty Data Forecast Intrastate Armed Conflicts? by Çağlar Akar, Doğa Başar Sarıipek, Gökçe Cerev

“…It utilizes a machine‐learning algorithm and annually published fragility data to forecast future intrastate armed conflicts. …”
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Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With Incremental Clustering by Thommas K. S. Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva

“…This study introduces a novel method to optimize Post-Training Quantization (PTQ), a widely used technique for reducing model size, by integrating Vector Quantization (VQ) with incremental clustering. While VQ is a technique that reduces model size by grouping similar parameters, incremental clustering, implemented via the AutoCloud K-Fixed algorithm, preserves accuracy during compression. …”
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Anomaly-Aware Tropical Cyclone Track Prediction Using Multi-Scale Generative Adversarial Networks by He Huang, Difei Deng, Liang Hu, Nan Sun

“…The model is designed to handle diverse inputs, including satellite cloud imagery, vorticity, wind speed, and geopotential height, and it features an advanced center detection algorithm to ensure precise TC center identification. …”
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Historical changes in the Causal Effect Networks of compound hot and dry extremes in central Europe by Yinglin Tian, Domenico Giaquinto, Giorgia Di Capua, Judith N. Claassen, Javed Ali, Hao Li, Carlo De Michele

“…Here, we use Causal Effect Networks (based on the Peter and Clark momentary conditional independence algorithm) and show that hot extreme events in central Europe are driven primarily by anomalous atmospheric patterns and soil water deficiency. …”
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DQN-Based Shaped Reward Function Mold for UAV Emergency Communication by Chenhao Ye, Wei Zhu, Shiluo Guo, Jinyin Bai

“…In this paper, we establish a meticulously crafted virtual simulation environment and leverage advanced deep reinforcement learning algorithms to train UAVs agents. Notwithstanding, the development of reinforcement learning algorithms is beset with challenges such as sparse rewards and protracted training durations. …”
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Influence of Source Shape on Semi-Airborne Transient Electromagnetic Surveys by Lei Liu, Jianghai Xie, Wentao Liu, Jianmei Zhou

“…A three-dimensional (3D) block model is established, and a model order reduction algorithm is applied to calculate the 3D spatial distribution of electromagnetic fields generated by both an ideal linear source and a curved source. …”
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Sparse DOA Estimation Method Based on Riemann Averaging under Strong Intermittent Jamming by Xiaoyu LAN, Jiyan HU, Mingshen LIANG, Shuang MA

“…Compared with existing subspace algorithms and sparse reconstruction class algorithms, the proposed algorithm has higher estimation accuracy and angular resolution at a smaller number of snapshots, as well as a lower signal-to-noise ratio.…”
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Hybrid nanofluid flow around a circular cylinder: A coupled ANN and numerical study of MHD, bioconvection, and thermal radiation by Muhammad Fawad Malik

“…This study aims to examine the heat transfer properties of cross-hybrid nanofluid flow around a circular cylinder while accounting for the effects of thermal radiation, tilted magnetohydrodynamics (MHD), activation energy, and bioconvection. …”
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