Identification of factors associated with acute malnutrition in children under 5 years and forecasting future prevalence: assessing the potential of statistical and machine learnin... by Christopher Coffey, Meike Reusken, Frans Cruijssen, Bertrand Melenberg, Cascha van Wanrooij

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Real-Time Compression Scheme for Urban Rail Transit Train Operation Data by LI Dexiang, WANG Linmei, WANG Shu

“…The scheme is proved to be effective by the real-time verification test of algorithms and the verification test of the actual train operation data. …”
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An annual cropland extent dataset for Africa at 30 m spatial resolution from 2000 to 2022 by Z. Lou, Z. Lou, D. Peng, D. Peng, Z. Shi, Z. Shi, H. Wang, K. Liu, Y. Zhang, X. Yan, X. Yan, Z. Chen, Z. Chen, S. Ye, S. Ye, L. Yu, J. Hu, J. Hu, J. Hu, Y. Lv, Y. Lv, Y. Lv, H. Peng, H. Peng, Y. Zhang, Y. Zhang, Y. Zhang, B. Zhang, B. Zhang

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MAP: Mutation Arranger for Defining Phenotype-Related Single-Nucleotide Variant by In-Pyo Baek, Yong-Bok Jeong, Seung-Hyun Jung, Yeun-Jun Chung

“…Currently, a number of single-nucleotide variant (SNV)-calling algorithms are available; however, there is no tool for visualizing the recurrent and phenotype-specific mutations for general researchers. …”
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The Application of Reinforcement Learning to Pumps—A Systematic Literature Review by Adetoye Ayokunle Aribisala, Usama Ali Salahuddin Ghori, Cristiano A. V. Cavalcante

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Entity and Event Recognition Method for Power Grid Fault Handling Plan Based on UIE Framework by Junbo PI, Shixiong QI, Wenduo SUN, Xiansi LOU, Jiandong WO, Yue ZHANG, Tao JIANG, Lianfei SHAN

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A Comparative Analysis of the Effectiveness of Multiple Models for Predicting Heart Failure using Data Mining by Ahmed Sami Jaddoa, Juliet Kadum, Amaal Kadum

“…For forecasting, decision-making, and disease prediction, DM technologies are essential. This research predicts heart disease using DM algorithms. …”
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Analyzing Fairness of Computer Vision and Natural Language Processing Models by Ahmed Rashed, Abdelkrim Kallich, Mohamed Eltayeb

“…Machine learning (ML) algorithms play a critical role in decision-making across various domains, such as healthcare, finance, education, and law enforcement. …”
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A review on applications of activity recognition systems with regard to performance and evaluation by Suneth Ranasinghe, Fadi Al Machot, Heinrich C Mayr

“…Activity recognition systems are a large field of research and development, currently with a focus on advanced machine learning algorithms, innovations in the field of hardware architecture, and on decreasing the costs of monitoring while increasing safety. …”
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Pathophysiology of the Heart and Clinical Cardiac Anesthesiology by Yu. V. Nikiforov, L. A. Krichevsky

“…The paper analyzes the results of the investigations made at the V. A. Negovsky Research Institute of General Reanimatology, Russian Academy of Medical Sciences, on the pathophysiology and applied aspects of cardiac performance and the anesthetic maintenance of cardiac operations. …”
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Modelling and Control of a Two-Wheel Inverted Pendulum Using Fuzzy-PID-Modified State Feedback by Karima Nader, Driss Sarsri

“…Control of mechanical systems by electronic systems controlled by computer programs is one of the most active research areas in mechatronic systems engineering. …”
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Survey on the search of Internet of Things by Yun-quan GAO, Xiao-yong LI, Bin-xing FANG

“…With the popularization and development of the Internet of Things,the search of Internet of Things urgently needs to be solved in academia and industry and becomes a hot research topic.With the increasing data generated by sensors,only the search of IoT makes this data valuable.However,different from the traditional Internet search engines (such as Baidu,Google,Bing,Yahoo,etc),the search of IoT has different search objects and search architecture and data in the Internet of Things are massive,real-time,highly dynamic,heterogeneous,highly insecure.The above characteristics make search of IoT face more challenges.Firstly,the concept,characteristics,related technologies of search of IoT were summarized and presented.Secondly,several typical systems and related algorithms were described in detail.Finally,the current problems,the challenges and research prospects of this field for future were presented…”
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Development of personal competencies of a cardiologist by M. A. Kudinova, O. Yu. Shaydyuk

“…The ways to develop such skills in a general practitioner or a cardiologist during education are not clear. In many countries, research is being conducted on the need for doctors to master not just patient-centered skills, but specific communication skills for cardiology practice. …”
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Urban Tree Canopy Mapping and Analysis Using Iterative Annotation Method and Deep Learning: A Case Study in Beijing by Yulong Ding, Ximin Cui, Zhengchao Chen, Zeqing Wang, Debao Yuan, Xiang Meng, Xuan Yang, Yue Xu, Xiangyu Tian

“…We anticipate that the UTC map of Beijing will facilitate research on the city's ecosystem services, advance sustainable urban development, and improve the quality of life for residents.…”
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Artificial Intelligence‐Based Approaches for AAV Vector Engineering by Fangzhi Tan, Yue Dong, Jieyu Qi, Wenwu Yu, Renjie Chai

“…This review compares traditional and AI‐based methods of AAV vector engineering and highlights recent research in AAV engineering using AI algorithms.…”
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Advanced Wildfire Prediction in Morocco: Developing a Deep Learning Dataset From Multisource Observations by Ayoub Jadouli, Chaker El El Amrani

“…We compile essential environmental indicators and employ state-of-the-art machine learning (ML) and deep learning (DL) algorithms to predict next-day wildfire occurrences. …”
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Artificial Intelligence and Breast Cancer Management: From Data to the Clinic by Kaixiang Feng, Zongbi Yi, Binghe Xu

“…Furthermore, this article emphasizes the significance of constructing patient‐oriented AI algorithms. Additionally, we explore the opportunities and potential research directions within this burgeoning field.…”
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Prediction of all-cause mortality in Parkinson’s disease with explainable artificial intelligence using administrative healthcare data by You Hyun Park, Yong Wook Kim, Dae Ryong Kang, Sang Chul Lee, Seo Yeon Yoon

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Machine learning and transfer learning techniques for accurate brain tumor classification by Seyed Matin Malakouti, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar

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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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