Learning Robust Output Control Barrier Functions From Safe Expert Demonstrations by Lars Lindemann, Alexander Robey, Lejun Jiang, Satyajeet Das, Stephen Tu, Nikolai Matni

“…This paper addresses learning safe output feedback control laws from partial observations of expert demonstrations. …”
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Evaluation of machine learning-based regression techniques for prediction of diabetes levels fluctuations by Badriah Alkalifah, Muhammad Tariq Shaheen, Johrah Alotibi, Tahani Alsubait, Hosam Alhakami

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Iterative Learning Control with Forgetting Factor for Linear Distributed Parameter Systems with Uncertainty by Xisheng Dai, Senping Tian, Wenguang Luo, Yajun Guo

“…Iterative learning control is an intelligent control algorithm which imitates human learning process. …”
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Predictive modeling of air quality in the Tehran megacity via deep learning techniques by Abdullah Kaviani Rad, Mohammad Javad Nematollahi, Abbas Pak, Mohammadreza Mahmoudi

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Real-Time Prediction of the Trend of Ground Motion Intensity Based on Deep Learning by Tao Liu, Zhijun Dai

“…In order to predict the intensity of earthquake damage in advance and improve the effectiveness of earthquake emergency measures, this paper proposes a deep learning model for real-time prediction of the trend of ground motion intensity. …”
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Overview of soil organic carbon mapping using machine learning algorithms in Africa by Yassine Bouslihim, Rachid Aboutayeb, Tarik Benabdelouahab

“…This review provides an overview of the application of machine learning (ML) for Soil Organic Carbon (SOC) and Soil Organic Matter (SOM) mapping in African countries, highlighting its significance for agricultural productivity and environmental sustainability. …”
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Evaluation Method of Street Green Landscape Viewing Degree Based on Machine Learning by Tieming Wang, Mengyu Liu, Wenhua Huang

“…In order to change this situation, this paper combined machine learning with the evaluation method of street green landscape viewing degree and conducted experiments on it based on machine learning. …”
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Gamma Oscillations Facilitate Effective Learning in Excitatory-Inhibitory Balanced Neural Circuits by Kwan Tung Li, Junhao Liang, Changsong Zhou

“…Gamma oscillation in neural circuits is believed to associate with effective learning in the brain, while the underlying mechanism is unclear. …”
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Frequency-Aware Integrity Learning Network for Semantic Segmentation of Remote Sensing Images by Penghan Yang, Wujie Zhou, Yuanyuan Liu

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Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis by Masoumeh Vali, Hossein Motahari Nezhad, Levente Kovacs, Amir H Gandomi

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CONSTRUCTIVE FEEDBACK IN TEACHING AND LEARNING: A PERSPECTIVE FROM BIOLOGY TEACHING PRACTICE by Nguyễn Thị Ái Minh

“…This was followed by a study on the practice of providing constructive feedback in teaching and learning within a module of Biology Teaching Practice at Dalat University.…”
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Personalized Federated Learning Scheme for Autonomous Driving Based on Correlated Differential Privacy by Yuan Tian, Yanfeng Shi, Yue Zhang, Qikun Tian

Subjects: “…federated learning…”
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Learning from collaborative ‘conversations’ on the Students as Producer Pedagogic model: students’ views by Kate Strudwick, Phil Johnson

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How Can ChatGPT Facilitate Teaching and Learning: Implications for Contemporary Education by Turgut Karakose, Tijen Tülübaş

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Formation of axiological views of bachelors during their professional training in e-learning circumstances by Tamara M. Nosova, Julia D. Ermakova

Subjects: “…e-learning…”
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Systematic review of machine learning applications using nonoptical motion tracking in surgery by Teona Z. Carciumaru, Cadey M. Tang, Mohsen Farsi, Wichor M. Bramer, Jenny Dankelman, Chirag Raman, Clemens M. F. Dirven, Maryam Gholinejad, Dalibor Vasilic

“…Abstract This systematic review explores machine learning (ML) applications in surgical motion analysis using non-optical motion tracking systems (NOMTS), alone or with optical methods. …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

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Using Reclaimed Water to Irrigate Turfgrass – Lessons Learned from Research with Nitrogen by George Hochmuth, Jinghua Fan, Jason Kruse, Jerry Sartain

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Digital Effectiveness in Video Conference Methods on Internet Learning Environments of Higher Education by Yanhong Wei, Huili Tang

“…This paper has aimed at investigating the ways of effective utilization of video conferencing in an online learning environment and presents a case study following the principles of educational neuroscience and distance education that are related to appropriate utilization of available digital technologies to function as educational and learning means to promote the usage in the framework of higher education.…”
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Integrated Model of Multiple Kernel Learning and Differential Evolution for EUR/USD Trading by Shangkun Deng, Akito Sakurai

“…The experimental results showed that trading using the prediction learned by MKL yielded consistent profits.…”
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