TempODEGraphNet: predicting user churn using dynamic social graphs and neural ODEs. by Minseop Lee, Jiyoung Woo

“…Experimental results reveal that the proposed model achieves a higher F1 score compared with conventional algorithms and static graph models. …”
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Temporal Vine Water Status Modeling Through Machine Learning Ensemble Technique and Sentinel-2 Multispectral Images Under Semi-Arid Conditions by Vincenzo Giannico, Simone Pietro Garofalo, Luca Brillante, Pietro Sciusco, Mario Elia, Giuseppe Lopriore, Salvatore Camposeo, Raffaele Lafortezza, Giovanni Sanesi, Gaetano Alessandro Vivaldi

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Segmentation versus detection: Development and evaluation of deep learning models for prostate imaging reporting and data system lesions localisation on Bi‐parametric prostate magn... by Zhe Min, Fernando J. Bianco, Qianye Yang, Wen Yan, Ziyi Shen, David Cohen, Rachael Rodell, Dean C. Barratt, Yipeng Hu

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Estimating vegetation indices and biophysical parameters for Central European temperate forests with Sentinel-1 SAR data and machine learning by Daniel Paluba, Bertrand Le Saux, Francesco Sarti, Přemysl Štych

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Perbandingan Klasifikasi Antara KNN dan Naive Bayes pada Penentuan Status Gunung Berapi dengan K-Fold Cross Validation by Firman Tempola, Miftah Muhammad, Amal Khairan

“…Selain itu, penggunaan naive bayes jaraknya akurasi lebih dekat dibandingan dengan k-nn.   Abstract This research will compare two classification algorithms that are K-Nearest Neighbors and Naive Bayes Classifier on data of volcanic status activity in Indonesia. …”
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Diffractogram data processing module for electronic journal. Finding diffraction maximum by Roman D. Gerasimov, Arseny D. Starikov

“…This module makes it possible to approximately determine the intensity and positions of diffraction maxima, from which the phase composition of the powders under study can be determined, and with known corundum numbers, the quantitative composition can be determined. This module was compared to the commonly used software. The developed digital solution allows reducing the time for analyzing experimental data, the amount of software used, simplifying determination of the phase composition of synthesized powders within a series, and increasing the efficiency of experiments and research. …”
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From Simulation to Field Validation: A Digital Twin-Driven Sim2real Transfer Approach for Strawberry Fruit Detection and Sizing by Omeed Mirbod, Daeun Choi, John K. Schueller

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Pediatric sepsis phenotypes for enhanced therapeutics: An application of clustering to electronic health records by Ioannis Koutroulis, Tom Velez, Tony Wang, Seife Yohannes, Jessica E. Galarraga, Joseph A. Morales, Robert J. Freishtat, James M. Chamberlain

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Monitoring and optimization of POCT devices in a multi-specialty hospital in Poland: usage trends, quality assurance, and clinical impact (2017–2024) by Agnieszka Woźniak-Kosek, Lucyna Drążek

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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…However, challenges remain in addressing the heterogeneity of fracture fillings, the dynamic coupling effects in multi-fracture systems, and the rapid interpretation of large-scale monitoring data. Future research should focus on developing advanced algorithms to suppress interference from non-uniform fillings, resolve dynamic coupling mechanisms, and improve the accuracy of vertical trajectory inversion. …”
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Cross-national differences in the association between estimated cardiorespiratory fitness and depressive symptoms among older adults: findings from three nationwide cohort studies by Xue He, Cong Li, GuangYao Hua, Yan Wang, Lijun Zhang, Chingyu Cheng, Jinghua Jiao, Honghua Yu, Xiaohong Yang, Lei Liu

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Error Analysis of Sound Source Directivity Interpolation Based on Spherical Harmonics by Adam SZWAJCOWSKI, Daniel KRAUSE, Anna SNAKOWSKA

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Control strategy design of 100 W fast response half bridge LLC resonant converter by Rao Gang, Yan Shuai, Jin Bin, Wang Wenjun

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Widespread use of ChatGPT and other Artificial Intelligence tools among medical students in Uganda: A cross-sectional study. by Elizabeth Ajalo, David Mukunya, Ritah Nantale, Frank Kayemba, Kennedy Pangholi, Jonathan Babuya, Suzan Langoya Akuu, Amelia Margaret Namiiro, Yakobo Baddokwaya Nsubuga, Joseph Luwaga Mpagi, Milton W Musaba, Faith Oguttu, Job Kuteesa, Aloysius Gonzaga Mubuuke, Ian Guyton Munabi, Sarah Kiguli

“…<h4>Background</h4>Chat Generative Pre-trained Transformer (ChatGPT) is a 175-billion-parameter natural language processing model that uses deep learning algorithms trained on vast amounts of data to generate human-like texts such as essays. …”
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Heart Rate Detection and Classification from Speech Spectral Features Using Machine Learning by Mohammed USMAN, Mohammed ZUBAIR, Zeeshan AHMAD, Monji ZAIDI, Thafasal IJYAS, Muneer PARAYANGAT, Mohd WAJID, Mohammad SHIBLEE, Syed Jaffar ALI

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A New Graph Drawing Scheme for Social Network by Eric Ke Wang, Futai Zou

“…Besides, we compare the effectiveness of our scheme and FM3 in experiments. …”
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Sleep Spindles as an Electrographic Element: Description and Automatic Detection Methods by Dorothée Coppieters ’t Wallant, Pierre Maquet, Christophe Phillips

“…To analyze spindle activity in a more robust way, automatic sleep spindle detection methods are essential. Various algorithms were developed, depending on individual research interest, which hampers direct comparisons and meta-analyses. …”
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Optimization Strategies in Quantum Machine Learning: A Performance Analysis by Nouf Ali AL Ajmi, Muhammad Shoaib

“…This study presents a comprehensive comparison of multiple optimization algorithms applied to a quantum classification model, utilizing the Cleveland dataset. …”
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The Evolution of Portfolio Theory: Integrating Machine Learning with Markowitz Optimization by Xu Junhao

“…The research also shows that ML can enhance Sharpe ratios in specific market conditions compared to conventional MPT. …”
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Toward aitiopoietic cognition: bridging the evolutionary divide between biological and machine-learned causal systems by Tomas Veloz

“…Through analyzing convergence pathways including evolutionary algorithms, material intelligence, homeostatic regulation, and multi-scale integration, we propose a research program aimed at bridging this evolutionary divide. …”
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