Convolutional neural network using magnetic resonance brain imaging to predict outcome from tuberculosis meningitis. by Trinh Huu Khanh Dong, Liane S Canas, Joseph Donovan, Daniel Beasley, Nguyen Thuy Thuong-Thuong, Nguyen Hoan Phu, Nguyen Thi Ha, Sebastien Ourselin, Reza Razavi, Guy E Thwaites, Marc Modat

“…All three models performed better in the HIV-negative cohort. …”
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MCBA-MVACGAN: A Novel Fault Diagnosis Method for Rotating Machinery Under Small Sample Conditions by Wenhan Huang, Xiangfeng Zhang, Hong Jiang, Zhenfa Shao, Yu Bai

“…Firstly, the multi-scale convolutional block attention mechanism is designed to extract multi-scale information and perform weighted fusion to enhance the ability of the model to capture effective features. …”
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A Dual-Branch Deep Learning Framework Combining Xception and ResNet for Accurate Lung and Colon Cancer Detection by Chandrasekar Venkatachalam, Priyanka Shah

“…The Xception model excels at feature extraction, while ResNet’s residual connections improve training stability and address issues like gradient vanishing. …”
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Professional training of marketers in specialty 029 “Information, library and archival work” based on the competence approach by Kasjan Vladyslav, Kushnarov Valerii

“…The research methodology is based on a complex of general scientific methods of analysis and synthesis, induction and deduction, review and analysis, as well as generalization and abstraction, whichmade it possible to identify and generalize the main features, activity tasks and concepts. The scientific novelty of the performed research consists in outlining the tasks of training a marketer in specialty 029 "Information, library and archival work" at the Kyiv National University of Culture and Arts. …”
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Effects of Thermal Mass, Window Size, and Night-Time Ventilation on Peak Indoor Air Temperature in the Warm-Humid Climate of Ghana by S. Amos-Abanyie, F. O. Akuffo, V. Kutin-Sanwu

“…An experimental system was designed based on the features of the most promising simulation model, constructed and monitored, and the experimental data used to validate the simulation model. …”
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A Gaussian process approach for contextual bandit-based battery replacement by Zhou Tianshi

“…The sharing economy has recently become a distinctive business model in China, offering advantages such as low prices and ease of use. …”
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An Evolutionary Algorithm of the Regional Collaborative Innovation Based on Complex Network by Kun Wang, Duoyong Sun

“…The two main conceptions of evolution, “graph with dynamic features” and “network evolution,” have been provided in advance. …”
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Automatic detection and prediction of COVID-19 in cough audio signals using coronavirus herd immunity optimizer algorithm by G. Ayappan, S. Anila

“…Audio data from the COUGHVID dataset undergo preprocessing through fuzzy gray level difference histogram equalization, followed by segmentation with a U-Net model. Key features are extracted via Zernike Moments (ZM) and Gray Level Co-occurrence Matrix (GLCM). …”
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Payment Scheduling Problem with Multiple Modes for Activities to Maximize the Net Present Value of a Project by Somayeh Ghasedi, Behrouz Afshar-Nadjafi

“…Another interesting feature of the developed model is the possibility of switching between the execution’s modes during the implementation of each activity, which can increase the NPV. …”
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Campus risk detection using the S-YOLOv10-SIC network and a self-calibrated illumination algorithm by Qiang Zhao, Sha Liu, Shihao Zhang, Baijuan Wang

“…The self-calibrated illumination algorithm is integrated to enhance the detection performance of the model under low light conditions. …”
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Prediction of Enthalpy of Mixing of Binary Alloys Based on Machine Learning and CALPHAD Assessments by Shuangying Huang, Guangyu Wang, Zhanmin Cao

“…The model performance was further optimized through Recursive Feature Elimination (RFE) and Maximal Information Coefficient (MIC) feature selection methods. …”
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Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning Using Graph Neural Networks and Transfer Learning by Johannes Pauli, Maximilian Hoffmann, Ralph Bergmann

“…The experimental evaluation examines the quality and performance of the models based on TL compared to the GNN models from previous work for three semantic graph domains with various properties. …”
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Expression characteristics, molecular mechanisms, and clinical significance of DICER1 in breast cancer by Xi Zhang, Long Yu, Cuizhi Geng

“…The expression level of DICER1 was an independent prognostic factor for breast cancer patients. The nomogram model based on DICER1 expression and clinical features demonstrated good discriminative ability in predicting patient survival probability. …”
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Method for recognizing abnormal operation patterns in hydraulic support machine-following and shifting control by MA Zhitao, FU Xiang, LI Haojie, NIU Penghao, JIA Yifan

“…The remaining four stroke-related features were input into the decision tree model to identify stroke anomaly patterns. …”
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Research on Apple Recognition and Localization Method Based on Deep Learning by Zhipeng Zhao, Chengkai Yin, Ziliang Guo, Jian Zhang, Qing Chen, Ziyuan Gu

“…Firstly, the multi-scale feature fusion network is improved by adding a 160 × 160 feature scale layer in the backbone network, which is used to enhance the model’s sensitivity in the recognition of very small local features. …”
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Machine learning predicts spinal cord stimulation surgery outcomes and reveals novel neural markers for chronic pain by Jay Gopal, Jonathan Bao, Tessa Harland, Julie G. Pilitsis, Steven Paniccioli, Rachael Grey, Michael Briotte, Kevin McCarthy, Ilknur Telkes

“…A subset of EEG features, clinical characteristics of the patients and preoperative patient reported outcome measures (PROMs) were used to build a predictive model. …”
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Enhancing Anti-Money Laundering Detection with Self-Attention Graph Neural Networks by Yu Qian, Wang Sizhe, Tao Yixin

“…Despite the challenges posed by class imbalance, the model achieves robust performance in detecting illicit transactions while reducing false positives. …”
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GC-Faster RCNN: The Object Detection Algorithm for Agricultural Pests Based on Improved Hybrid Attention Mechanism by Bolun Guan, Yaqian Wu, Jingbo Zhu, Juanjuan Kong, Wei Dong

“…Third, we implement an optimized training strategy featuring a cosine annealing scheduler with linear warm-up, accelerating model convergence while maintaining training stability. …”
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Machine learning approach effectively discriminates between Parkinson’s disease and progressive supranuclear palsy: Multi-level indices of rs-fMRI by Weiling Cheng, Xiao Liang, Wei Zeng, Jiali Guo, Zhibiao Yin, Jiankun Dai, Daojun Hong, Fuqing Zhou, Fangjun Li, Xin Fang

“…Subsequently, different validation templates were employed to assess the classification results and investigate the relationship between the most significant features and clinical assessment scales. Results: The classification performance of logistic regression (LR) and support vector machine (SVM) models, based on multiple index combinations, was significantly superior to that of other machine learning models and combinations when utilizing automatic anatomical labeling (AAL) templates. …”
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Controlled Formation of α- and β-Bi₂O₃ with Tunable Morphologies for Visible-Light-Driven Photocatalysis by Thomas Cadenbach, María Isabel Loyola-Plúa, Freddy Quijano Carrasco, Maria J. Benitez, Alexis Debut, Karla Vizuete

“…Photocatalysis offers a promising and eco-friendly solution, but in the case of bismuth oxide (Bi₂O₃) there is still a limited understanding of how structural and morphological features influence photocatalytic performance. In this work, a straightforward hydrothermal synthesis method followed by controlled calcination was developed to produce phase-pure α- and β-Bi₂O₃ with tunable morphologies. …”
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