ANALYSIS OF CELLULAR REACTION TO IFN-γ STIMULATION BY A SOFTWARE PACKAGE GeneExpressionAnalyser by A. V. Saetchnikov, M. M. Yatskou, P. V. Nazarov, L. Vallar, V. V. Apanasovich

“…The software package GeneExpressionAnalyser for analysis of the DNA microarray experi-mental data has been developed. The algorithms of data analysis, differentially expressed genes and biological functions of the cell are described. …”
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Dynamical systems and complex networks: a Koopman operator perspective by Stefan Klus, Nataša Djurdjevac Conrad

“…The Koopman operator has entered and transformed many research areas over the last years. Although the underlying concept—representing highly nonlinear dynamical systems by infinite-dimensional linear operators—has been known for a long time, the availability of large data sets and efficient machine learning algorithms for estimating the Koopman operator from data make this framework extremely powerful and popular. …”
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Computer vision based automatic evaluation method of Y2O3 steel coating performance with SEM image by Jianhong Zhao, Huamin Yang, Yi Sui

“…Abstract This study introduces a deep learning-based automatic evaluation method for analyzing the microstructure of steel with scanning electron microscopy (SEM), aiming to address the limitations of manual marking and subjective assessments by researchers. By leveraging advanced computer vision algorithms, specifically a suitable model for long-term dendritic solidifications named Tang Rui Detect (TRD), the method achieves efficient and accurate detection and quantification of microstructure features. …”
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Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission by Rafael Ruiz de San Martín, Catalina Morales-Hernández, Carmen Barberá, Carlos Martínez-Cortés, Antonio Jesús Banegas-Luna, Francisco José Segura-Méndez, Horacio Pérez-Sánchez, Isabel Morales-Moreno, Juan José Hernández-Morante

“…A machine learning analysis was performed following several algorithms using unscheduled hospital readmissions as dependent variable. …”
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Group k- Nearest Neighbor Query Method for Uncertainty Data in Obstructed Spaces by WAN Jing, TANG Bei-bei, SUN Jian, HE Yun-bin, LI Song

“…To deal with the problem of group k nearest neighbor query method for uncertainty data in obstructed spaces, this paper presents the method of the PkOGNN（probabilistic k obstructed group nearest neighbor）query .The PkOGNN query method mainly includes four sub-algorithms: Compadist_o()，SpatialPru()，PruInterEnt() and PkOGNN(), These algorithms are respectively the calculation of the aggregate obstructed distance, the spatial pruning method, the pruning of the R-tree intermediate items according to the spatial pruning method, the final refined query method. …”
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PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control by Rohit Bokade, Xiaoning Jin

“…To address these limitations, we introduce PyTSC, a robust and flexible simulation environment that facilitates the training and evaluation of MARL algorithms for TSC. PyTSC integrates multiple simulators, such as SUMO and CityFlow, and offers a streamlined API, enabling researchers to explore a broad spectrum of MARL approaches efficiently. …”
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General Framework of Reversible Watermarking Based on Asymmetric Histogram Shifting of Prediction Error by Sheng Chen, Xianyi Chen, Huijuan Fu

“…The proposed framework provides a new perspective for the research of reversible watermarking, which brings about many benefits for the information security.…”
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Dostoevsky in Japanese Translations: The Problem of Textual Images by U. P. Strizhak

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PECULIARITIES OF PREPARING AND MANAGEMENT OF PATIENTS WITH HAEMOPHILIA BEFORE DENTAL INTERVENTIONS (LITERATURE REVIEW) by Римма Кирилловна Федорова, Лариса Рудольфовна Сарап

“…It's important to use individually developed algorithms of prevention and treatment of dental diseases. …”
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Design of an efficient and reconfigurable 1 024 bit large numbers multiplier by Su Cheng, Xia Hong

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Interest-Rate Products Pricing Problems with Uncertain Jump Processes by Yiyao Sun, Shiqin Liu

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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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The NavINST Dataset for Multi-Sensor Autonomous Navigation by Paulo Ricardo Marques De Araujo, Eslam Mounier, Qamar Bader, Emma Dawson, Shaza I. Kaoud Abdelaziz, Ahmed Zekry, Mohamed Elhabiby, Aboelmagd Noureldin

“…It offers rich, multi-sensor data ideal for developing and validating robust algorithms for autonomous vehicles. Finally, it is fully integrated with the robot operating system (ROS), ensuring ease of use and accessibility for the research community. …”
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Resampling-driven machine learning models for enhanced high streamflow forecasting by Nureehan Salaeh, Sirimon Pinthong, Warit Wipulanusat, Uruya Weesakul, Jakkarin Weekaew, Quoc Bao Pham, Pakorn Ditthakit

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Confocal Laser Endomicroscopy: Enhancing Intraoperative Decision Making in Neurosurgery by Francesco Carbone, Nicola Pio Fochi, Giuseppe Di Perna, Arthur Wagner, Jürgen Schlegel, Elena Ranieri, Uwe Spetzger, Daniele Armocida, Fabio Cofano, Diego Garbossa, Augusto Leone, Antonio Colamaria

“…Furthermore, integration with deep learning algorithms and telepathology platforms fosters automated image interpretation and remote expert consultations, thereby accelerating surgical decision making and enhancing diagnostic consistency. …”
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Recent Advances in Demand Responsive Transport: Opportunities With Autonomous Bus Service—A System-of-Systems Overview by Sajid Fadlelseed, Pouria Sarhadi, Soodamani Ramalingam, Hock C. Gan, Pandelis Kourtessis, Gav Jackman, Atziri Guadalupe Sanchez Contreras, Javier Guimera Tena, James West, Jack Holland, Alice Missler

“…We review the historical development and current state of research, extending the discussion into the era of Connected and Automated Mobility (CAM), particularly in mass transit. …”
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Battery Energy Storage Systems in Microgrids: A Review of SoC Balancing and Perspectives by Thales Augusto Fagundes, Guilherme Henrique Favaro Fuzato, Lucas Jonys Ribeiro Silva, Augusto Matheus dos Santos Alonso, Juan C. Vasquez, Josep M. Guerrero, Ricardo Quadros Machado

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CNN-Based Detection of Sheath Incorrect Connection in the Cross-Bonded HV Cable Systems Using the Sheath Current Phasor Difference by Jing Tu, Zhanran Xia, Yongheng Ai, Ruoxin Song, Bin Yang, Changqun Sun, Xiaoyue Chi, Hang Wang

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Human motor control during movements with high demands by Paul Kaufmann, Willi Koller, Elias Wallnöfer, Basilio Goncalves, Clara Scheer, Juliana Exel, Olivia Froschauer, Catherine Hlavac, Mathias Wiplinger, Lorenz Zweier, Arnold Baca, Hans Kainz

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Deep Learning-Based Network Security Data Sampling and Anomaly Prediction in Future Network by Lan Liu, Jun Lin, Pengcheng Wang, Langzhou Liu, Rongfu Zhou

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