The impact of precompetition state on athletic performance among track and field athletes using machine learning by Yuting Zhang, Pengyu Fu, Qi Yu, Qingmei Niu, Dongfeng Nie, Xiangya Dou, Xiaoqin Zhang

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Machine learning-based anomaly detection and prediction in commercial aircraft using autonomous surveillance data. by Tian Xia, Lanju Zhou, Khalil Ahmad

“…The creation of a machine learning model employing data from autonomous-reliant surveillance transmissions is essential for the detection and prediction of commercial aircraft accidents. …”
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Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction by Zhibo Wang, Xin Chen, Xi Tan, Lingfeng Yang, Kartik Kannapur, Justin L. Vincent, Garin N. Kessler, Boshu Ru, Mei Yang

“…**Background:** Deep Learning (DL) has not been well-established as a method to identify high-risk patients among patients with heart failure (HF). …”
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Hybrid intelligent optimization strategy of battery swapping station for electric vehicles based on reinforcement learning by Hongwei Yi, Huan Zhang, Jianghong Li, Yanling Zhao

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Detection and Management of Water Stress at Plants by Deep Learning and Image processing Case-study of Tomato by Guerbaoui Mohammed, Ichou Ismail, Bakziz Zakaria, Selmani Abdelouahed, El Faiz Samira, Ed-Dahhak Abdelali, Benhala Bachir, Lachhab Abdeslam

“…This project aims to develop an innovative technique for detecting water stress in tomato plants using deep learning and image processing techniques, and to integrate it into a mobile application for real-time monitoring. …”
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How the General Public and Local Officials Prefer to Learn about Agricultural Water Use in Florida by Courtney T. Owens, Alexa J. Lamm, Ricky W. Telg

“…AEC585/WC247: How the General Public and Local Officials Prefer to Learn about Agricultural Water Use in Florida (ufl.edu) …”
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How efficient is exemplary teaching in learning equations and inequations in the third and fourth grade of primary school? by Malinović-Jovanović Nela T., Simić Milica D., Ristić Milica N.

“…The aim of the study was to investigate the efficiency of learning equations and inequations through the application of exemplary teaching in primary school. …”
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Olfaction-based learned preference assessment without the use of motivational fear or motivational weight loss by Sara E. Moss, Ekaterina S. McCurdy, Natalya N. Thomas, Danielle Gulick, Angela M. Poff, Dominic P. D'Agostino

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Analysis of Gas Pipeline Failure Factors Based on the Novel Bayesian Network by Machine Learning Optimization by Shuangqing Chen, Shun Zhou, Zhe Xu, Yongbin Liu, Bing Guan, Xiaoyu Jiang, Wencheng Li

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Insights into ozone pollution control in urban areas by decoupling meteorological factors based on machine learning by Y. Qiu, X. Li, X. Li, W. Chai, Y. Liu, M. Song, X. Tian, Q. Zou, W. Lou, W. Zhang, J. Li, Y. Zhang

“…In this study, we integrated a machine learning model, an observation-based model, and a positive matrix factorization model based on 4 years of continuous observation data from a typical urban site. …”
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Geographical origin discrimination of Chenpi using machine learning and enhanced mid-level data fusion by Xin Kang Li, Li Jun Tang, Ze Ying Li, Dian Qiu, Zhuo Ling Yang, Xiao Yi Zhang, Xiang-Zhi Zhang, Jing Jing Guo, Bao Qiong Li

“…Thirty-nine samples from eight regions in Xinhui district (Guangdong, China) are analyzed by gas chromatography (GC) and mid-infrared (MIR) technique. Four machine learning methods are employed to establish discrimination models based on GC and MIR data, with two mid-level data fusion strategies to combine the data. …”
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AI-driven video summarization for optimizing content retrieval and management through deep learning techniques by Deepali Vora, Payal Kadam, Dadaso D Mohite, Nilesh Kumar, Nimit Kumar, Pratheeik Radhakrishnan, Shalmali Bhagwat

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Assessing the Utilization of Technology in the Teaching and Learning of English Language in Selected Secondary Schools in Kabale Municipality. by Ariho, Pretty

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Role of ICT in Teaching and Learning Integrated Science in Primary Schools in Central Division Kabale Municipality. by Tumukurate, Dickson

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A Deep Learning Enabled Chest X-Ray Abnormality Detection Model for Radiology Assistance. by Ssempeebwa, Phillip, Ainembabazi, Patience

Subjects: “…Deep Learning…”
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Effect of Active Teaching and Learning on Students’ Reading Skills in Selected Secondary Schools of Sheema Municipality. by Atuheire, Janis

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Deep Learning-Based Speech Emotion Recognition Using Multi-Level Fusion of Concurrent Features by Samuel, Kakuba, Alwin, Poulose, Dong, Seog Han, Senior Member, Ieee

“…In this paper, we propose a deep learning-based model named concurrent spatial-temporal and grammatical (CoSTGA) model that concurrently learns spatial, temporal and semantic representations in the local feature learning block (LFLB) which are fused as a latent vector to form an input to the global feature learning block (GFLB). …”
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Mobile language app learners’ self-efficacy increases after using generative AI by Audrey K. Kittredge, Elise W. M. Hopman, Ben Reuveni, Danielle Dionne, Cassie Freeman, Xiangying Jiang

Subjects: “…language learning…”
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Editorial: ChatGPT and other generative AI tools by Stefan Küchemann, Martina Rau, Knut Neumann, Jochen Kuhn

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A Mobile Science Laboratory: Architectural Design For Secondary Schools In Uganda by Conrad M., Mubaraka, Eunice, Ndyareeba

Subjects: “…Security, Mobile, Learning…”
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