Active delta-learning for fast construction of interatomic potentials and stable molecular dynamics simulations by Yaohuang Huang, Yi-Fan Hou, Pavlo O Dral

“…Active learning (AL) requires massive time for comprehensive sampling of complex potential energy surfaces to achieve desirable accuracy and stability of machine learning (ML) potentials. …”
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Detecting Subtle Cyberattacks on Adaptive Cruise Control Vehicles: A Machine Learning Approach by Tianyi Li, Mingfeng Shang, Shian Wang, Raphael Stern

“…With the emergence of vehicles featuring advanced driver-assistance systems like adaptive cruise control (ACC) and additional automated driving functionalities, there has arisen a heightened potential for cyberattacks targeting these automated vehicles (AVs). …”
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Enhancing phishing detection with dynamic optimization and character-level deep learning in cloud environments by Vishnukumar Ravula, Mangayarkarasi Ramaiah

“…In such a scenario, an attacker could send misleading phishing links, potentially compromising the system’s functionality or, at worst, leading to a complete shutdown. …”
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Impact of symmetry in local learning rules on predictive neural representations and generalization in spatial navigation. by Janis Keck, Caswell Barry, Christian F Doeller, Jürgen Jost

“…Here, when exposed repeatedly to a linear track, neurons in our model in CA3 show less shift of the centre of mass than those in CA1, in line with existing empirical findings. Investigating the functional benefits of such symmetry, we employ a simple reinforcement learning agent which may learn symmetric or classical successor representations. …”
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Deep learning-based electroencephalic decoding of the phase-lagged transcranial alternating current stimulation by Jeongwook Kwon, Byoung-Kyong Min, Byoung-Kyong Min

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Arabic Education and Modern Learning Construction in Muslim Minority Islamic Boarding School in Indonesia by Ismail Suardi Wekke

“…Keywords: Modern, Learning, Islamic Boarding School …”
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Comparison of Machine Learning and Statistical Approaches of Detecting Anomalies Using a Simulation Study by Klaudia Lenart

“…In particular two groups of methods have been developed independently – statistical methods and machine learning algorithms. Those methods are rarely compared. …”
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Reinforcement Learning for Optimizing Renewable Energy Utilization in Buildings: A Review on Applications and Innovations by Panagiotis Michailidis, Iakovos Michailidis, Elias Kosmatopoulos

“…For evaluation, the paper examines and outlines the different attributes in the field considering the following: methodologies of RL; agent types; value-action networks; reward functions; baseline control approaches; RES types; BEMS types; and building typologies. …”
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Transforming education in a rural ecosystem: school libraries as hubs for teaching-learning innovation by Lulama Mdodana-Zide, Godsend T. Chimbi

“…By establishing and maintaining functional school libraries as innovative pedagogical hubs, instead of mere repositories of information, school libraries can enhance the quality of teaching and learning in rural schools.DiscussionThe other quintessential findings of this study were that libraries catalyzed learners' self-directed learning and the quest to find more information on the concepts they were learning. …”
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CEEMDAN-IHO-SVM: A Machine Learning Research Model for Valve Leak Diagnosis by Ruixue Wang, Ning Zhao

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Reinforcement Learning-Based Safe Path Planning for a 3R Planar Robot by Mustafa Can Bingol

“…Later, state, action, reward, and terminate functions were determined. Lastly, actor and critic artificial neural networks (ANN), which are basic components of deep deterministic policy gradients (DDPG), were formed in order to generate a safe path. …”
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Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion by Long Qin

“…To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes multi-source data, and then proposes an improved sentiment analysis framework based on deep transfer learning technology. The swarm intelligence optimization algorithm is introduced to optimize the deep transfer learning architecture. …”
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Online learning during the COVID-19 pandemic: Medical students’ perspective of challenges and barriers by Loma Al-Mansouri, Firas R. Al-Obaidi, Noor Ahmed Abdullah

“…During the pandemic, online learning functioned as the principal pathway of education at all levels of education for a considerable time. …”
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What Gets Measured Gets Improved: Monitoring Machine Learning Applications in Their Production Environments by Dominik Protschky, Luis Lammermann, Peter Hofmann, Nils Urbach

“…Machine learning (ML) applications face many new, hardly predictable aspects in their production environments. …”
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Uncovering multiscale structure-property correlations via active learning in scanning tunneling microscopy by Ganesh Narasimha, Dejia Kong, Paras Regmi, Rongying Jin, Zheng Gai, Rama Vasudevan, Maxim Ziatdinov

“…Abstract Atomic arrangements and local sub-structures fundamentally influence emergent material functionalities. These structures are conventionally probed using spatially resolved studies and the property correlations are deciphered by a researcher based on sequential explorations, thereby limiting the efficiency and scope. …”
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Identification of exosome-related genes in NSCLC via integrated bioinformatics and machine learning analysis by Zhenjie Sun, Tianyu Du, Guosheng Yang, Yinghuan Sun, Xuyang Xiao

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Online Learning of Stabilizing Controllers Using Noisy Input-Output Data and Prior Knowledge by Nariman Niknejad, Farnaz Adib Yaghmaie, Hamidreza Modares

“…This paper presents online prior-knowledge-based data-driven approaches for verifying stability and learning a stabilizing dynamic controller for linear stochastic input-output systems. …”
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Screening for Potential Antiviral Compounds from Cyanobacterial Secondary Metabolites Using Machine Learning by Tingrui Zhang, Geyao Sun, Xueyu Cheng, Cheng Cao, Zhonghua Cai, Jin Zhou

“…The secondary metabolites of seawater and freshwater blue-green algae are a rich natural product pool containing diverse compounds with various functions, including antiviral compounds; however, high-efficiency methods to screen such compounds are lacking. …”
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Combining Prior Knowledge and Reinforcement Learning for Parallel Telescopic-Legged Bipedal Robot Walking by Jie Xue, Jiaqi Huangfu, Yunfeng Hou, Haiming Mou

“…To enable L04 walking, we design a method that integrates prior feedforward with reinforcement learning (PFRL), specifically tailored for the parallel dual-slider structure. …”
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Increased Temporal Variability of Gait in ASD: A Motion Capture and Machine Learning Analysis by Katharine Goldthorp, Benn Henderson, Pratheepan Yogarajah, Bryan Gardiner, Thomas Martin McGinnity, Brad Nicholas, Dawn C. Wimpory

“…The temporal analysis of gait with machine learning algorithms may be useful as a future ASD diagnostic aid.…”
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