A review of interactions between irrigation and evapotranspiration by Ziyuan Gong, Fei Gao, Xinyu Chang, Tianqi Hu, Yaping Li

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Practical aspects of therapy for glutaric aciduria type 1 by E. Yu. Zakharova, S. V. Mikhailova, V. V. Zarubina, N. A. Krasnoshchekova, N. L. Pechatnikova, V. P. Vorontsova, D. I. Gribov, M. V. Zazivihina, А. N. Slatetskaya, M. V. Kurkina, P. V. Baranova, L. P. Nazarenko, S. А. Repina, L. R. Selimsyanova, N. D. Vashakmadse, T. V. Bushueva

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Analysis of time series characteristics using machine learning model and correlation matrix in the tasks of forecasting the state of forest ecosystems by Gusev Pavel, Tavolzhanskij Alexander, Zolnikov Vladimir, Deniskina Antonina

“…To apply the considered algorithm, information from various measuring sensors taking readings of climate variables in the forest lands was used.…”
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NeuralConstraints: integrating a neural generative model with constraint-based composition by Juan S. Vassallo, Örjan Sandred, Julien Vincenot

“…‘NeuralConstraints’ combines the predictive generative abilities of neural networks trained on symbolic musical data with an advanced backtracking constraint algorithm. …”
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The relationship between the CYP2C19*17 genetic polymorphism and the efficacy and safety of diazepam in patients with alcohol withdrawal syndrome by V. Yu. Skryabin, M. S. Zastrozhin, E. A. Grishina, K. A. Ryzhikova, V. V. Shipitsyn, I. V. Barna, T. E. Galaktionova, A. S. Sorokin, E. A. Bryun, D. A. Sychev

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Compute Nano topology by used the programing language python by Nawfal N. Abed, Ali A. Shihab

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Autonomous car parking Model for different types of parking lots using deep reinforcement learning by В. Олійник, Ю. Данилюк

“…We use a deep reinforcement learning approach using the Proximal Policy Optimization (PPO) algorithm, complemented by Behavioural Cloning and Generative Adversarial Imitation Learning. …”
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Enhancing Crop Type Mapping in Data-Scarce Regions Through Transfer Learning: A Case Study of the Hexi Corridor by Jingjing Mai, Qisheng Feng, Shuai Fu, Ruijing Wang, Shuhui Zhang, Ruoqi Zhang, Tiangang Liang

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Contextual information based anomaly detection for multi-scene aerial videos by Girisha S, Ujjwal Verma, Manohara M M. Pai, Radhika M. Pai

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Evaluation of Nonlinear Autoregressive Network with Exogenous Inputs Architectures for Wind Speed forecasting by Kacimi Houda, Fennane Sara, Mabchour Hamza, ALtalqi Fatehi, Echchelh Adil

“…Predictive performance was assessed using RMSE to measure the gap between predicted and actual values. …”
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EXPERIENCE OF USING DIGITAL SYSTEMS FOR DIAGNOSTICS OF HYPERTROPHIC SKIN SCARS OF FACE by D.S. Avetikov, O.P. Bukhanchenko, I.O. Ivanytsky, N.A. Sokolova, I.V. Boyko

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Model experimental study of filling property of ring-type geotextile tube by LAI Zhiqiang, XU Shuling, ZHAO Lianjun, Chen Lin, ZHANG Ming

“…Leveraging machine learning principles, the heights of the filled tube bags under three different filling methods—counterclockwise, radial, and vertical—were simulated and predicted using the random forest algorithm, based on experimentally measured heights. …”
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HMSTNet: A Deep Learning Multimodal Approach for Personalized English Literature Recommendations by Xiaopeng Wang, Xue Liang

“…This research serves to unite conventional recommendation algorithms with English literature reading requirements. …”
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Clinical Pathways Guided by Remotely Monitoring Cardiac Device Data: The Future of Device Heart Failure Management? by Joanne K Taylor, Fozia Zahir Ahmed

“…As standalone diagnostic tools, individual physiological metrics and algorithm-based systems have demonstrated utility in predicting future events, but the integration of remote monitoring data with existing clinical care pathways for device HF patients is not well described. …”
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SAB: Self-Adaptive Bias by Suchan Choi, Jinyoung Oh, Jeong-Won Cha

“…In this paper, we propose a new algorithm that determines how to select learning data and when to start and stop curriculum learning by considering learning errors. …”
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Block diagonalization of (p, q)-tridiagonal matrices by Manjunath Hariprasad

“…We also examine special cases such as bidiagonal and triangular block reductions along with supporting algorithms and numerical examples.…”
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Multimodal data integration in early-stage breast cancer by Arnau Llinas-Bertran, Maria Butjosa-Espín, Vittoria Barberi, Jose A. Seoane

“…However, existing knowledge does not fully encompass the diverse nature of breast cancer, particularly in triple-negative tumors.The integration of multi-omics and multimodal data has the potential to provide new insights into biological processes, to improve breast cancer patient stratification, enhance prognosis and response prediction, and identify new biomarkers.This review presents a comprehensive overview of the state-of-the-art multimodal (including molecular and image) data integration algorithms developed and with applicability to breast cancer stratification, prognosis, or biomarker identification. …”
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Enhancing wheat yellow rust detection through modified deep learning approach by Shant Kumar, Rohit Singh, Sudheer Kumar, Sandeep Gupta

“…The study reports the effectiveness of machine learning and deep learning (ML/DL) algorithms in detecting yellow rust disease in wheat, keeping in view that early stage detection is crucial for minimizing the crop yield loss. …”
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Safeguarding against Cyber Threats: Machine Learning-Based Approaches for Real-Time Fraud Detection and Prevention by Vikas R. Shetty, Pooja R., Rashmi Laxmikant Malghan

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ATTRN: Acoustic Information Encoder and Temperature Field Reconstruction Decoder Network for Boiler Temperature Field Reconstruction by Kunyu Wu, Keqi Ni, Liwei Chen, Hengyuan Xu, Junqiao Wang, Jingyi Zhou, Xinzhi Zhou

“…Traditional temperature field reconstruction algorithms, while effective, often suffer from accumulated errors, difficulty in solving ill-posed problems, low accuracy, and poor generalization. …”
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