A New Pipeline for Snooping Keystroke Based on Deep Learning Algorithm by Massimo Orazio Spata, Valerio Maria Russo, Alessandro Ortis, Sebastiano Battiato

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IRISS '98: The Intranet as a Learning Tool: A Preliminary Study by K. J. Garland, S. J. Anderson, J. M. Noyes

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Decentralized Reinforcement Learning Approach for Microgrid Energy Management in Stochastic Environment by Razieh Darshi, Saeed Shamaghdari, Aliakbar Jalali, Hamidreza Arasteh

“…Interactions between the decision makers and the environment during the learning phase lead the system to converge to the optimal equilibrium point in which the benefits of all the agents are maximized. …”
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Cyber Security Intrusion Detection Using a Deep Learning Method by Basheer Ullah, Shafiq-ur-Rehman Massan, M. Abdul Rehman, Rabia Ali Khan

“…The new techniques of deep learning are poised to succeed for detecting intrusion by employing different algorithms of detection and prevention. …”
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Single-step retrosynthesis prediction via multitask graph representation learning by Peng-Cheng Zhao, Xue-Xin Wei, Qiong Wang, Qi-Hao Wang, Jia-Ning Li, Jie Shang, Cheng Lu, Jian-Yu Shi

“…It develops a multitask graph representation learning model for single-step retrosynthesis prediction (Retro-MTGR) to solve reaction centre deduction and LG identification simultaneously. …”
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The Recognition of Holy Qur’an Reciters Using the MFCCs’ Technique and Deep Learning by Ghassan Samara, Essam Al-Daoud, Nael Swerki, Dalia Alzu’bi

“…We compare our proposed model to different deep learning and machine learning methodologies. Our proposed model outperformed the competing models with an accuracy of 99.66%, compared to the support vector machine’s accuracy of 99%.…”
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Stable Inverse Reinforcement Learning: Policies From Control Lyapunov Landscapes by SAMUEL TESFAZGI, Leonhard Sprandl, Armin Lederer, Sandra Hirche

Subjects: “…inverse reinforcement learning…”
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Multimedia Instruction & Language Learning Attitudes: A Study with University Students by Jesús Izquierdo, Daphnée Simard, María Guadalupe Garza Pulido

Subjects: “…Second language Learning…”
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Q-learning global path planning for UAV navigation with pondered priorities by Kevin B. de Carvalho, Hiago de O.B. Batista, Leonardo A. Fagundes-Junior, Iure Rosa L. de Oliveira, Alexandre S. Brandão

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Clinical Big Data and Deep Learning: Applications, Challenges, and Future Outlooks by Ying Yu, Min Li, Liangliang Liu, Yaohang Li, Jianxin Wang

Subjects: “…deep learning…”
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The Challenges of Nursing Students in the Clinical Learning Environment: A Qualitative Study by Nahid Jamshidi, Zahra Molazem, Farkhondeh Sharif, Camellia Torabizadeh, Majid Najafi Kalyani

“…Background/Aim. Clinical learning is a main part of nursing education. Students’ exposure to clinical learning environment is one of the most important factors affecting the teaching-learning process in clinical settings. …”
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Dynamic heterogeneous network representation learning method based on Hawkes process by CHEN Lei, DENG Kun, LIU Xingyan

Subjects: “…network representation learning…”
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Performance management system in the higher learning institutions in Tanzania: horses for courses? by Thobias Komungemwe, Ramadhani Marijani

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WhatsApp and English Learning: Students’ Perceptions and Challenges in Pandemic Era by Rena Juliana

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Dual intent view contrastive learning for knowledge aware recommender systems by Jianhua Guo, Zhixiang Yin, Shuyang Feng, Donglin Yao, Shaopeng Liu

“…To tackle these challenges, we propose a novel recommendation model named Dual-Intent-View Contrastive Learning network (DIVCL), inspired by recent advancements in contrastive and intent learning. …”
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Upper Secondary School Students’ Learning at Work: The Effect on Agency in School by Maria Erss, Krista Loogma

“…The second aim was to broaden the understanding of what students learn at work. The study used a mixed-methods approach involving a survey of upper secondary students (aged 16–19, <i>N</i> = 3179) in 30 schools followed by qualitative interviews with 18–19-year-old students who have gained work experience (<i>N</i> = 13). …”
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Determination of the learning needs of doctors working in the Mountain Plan in Cienfuegos province. by Manuel Fernández Urquiza

“…<br /><strong>Results: </strong>learning needs were identified derived from professional competence . …”
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Incoherent dictionary learning and sparse representation for single-image rain removal by Hong-zhong TANG, Xiang WANG, Xiao-gang ZHANG, Xiao LI, Li-zhen MAO

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Comparative analysis of machine learning approaches for predicting the risk of vaginal laxity by Hongguo Zhao, Peng Liu, Fei Chen, Mengjuan Wang, Jiaxi Liu, Xiling Fu, Hang Yu, Manman Nai, Lei Li, Xinbin Li

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Using Machine Learning to Diagnose Autism Based on Eye Tracking Technology by Ameera S. Jaradat, Mohammad Wedyan, Saja Alomari, Malek Mahmoud Barhoush

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