Deep learning for the classification of atrial fibrillation using wavelet transform-based visual images by Ling-Chun Sun, Chia-Chiang Lee, Hung-Yen Ke, Chih-Yuan Wei, Ke-Feng Lin, Shih-Sung Lin, Hsin Hsiu, Ping-Nan Chen

“…Conclusions Training deep learning machines for the classification of AF with MsCWT-based images demonstrated to yield favorable outcomes and achieved superior performance amongst studies utilizing the same dataset. …”
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Risk factors associated with children learning disorders at school: a socio-medical problem. by Beatriz Sabina Roméu, Zenaida María Saéz, Margarita Roméu Escobar

“…Study group: 42 children presenting learning difficulties as to their teacher´s opinion. …”
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Strategic integration of technology to foster students’ learning outcomes and motivation in legal English lessons by La Nguyen Binh Minh

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Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications by Saeed Hamood Alsamhi, Ammar Hawbani, Alexey V. Shvetsov, Santosh Kumar

“…The intersection of Federated Learning (FL) and Healthcare 5.0 promises a transformative shift towards a more resilient future, particularly concerning pandemic preparedness. …”
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Improving Bahasa Indonesia writing skill: a project-based learning experimental study by Lisdwiana Kurniati, Wuri Syaputri, Yudi Efendi, Rohmah Tussolekha, Dessy Saputry

“…This study examines the effectiveness of project-based learning (PBL) in improving the academic writing skills of sixth-semester Bahasa Indonesia students at Universitas Muhammadiyah Pringsewu. …”
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Mengasah Kepedulian Siswa terhadap Efek Limbah Plastik melalui Project Based Learning by Martini Martini, Yush Nawwir, Samsuddin Kade, Ainul Alim Rahman, Kasma F. Amin

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Enhancing professional development for Third Space roles: reflections on the added value of Learning Circles by Linde Moriau, Réka Matolay, Emma McKenna, Andrea Toarniczky, Judit Gáspár, Márta Frigyik, Catherine Bates

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Economic Development Trend Prediction Model Based on Unsupervised Learning in the Internet of Things Environment by Min Kuang

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Lipid Rafts in Signalling, Diseases, and Infections: What Can Be Learned from Fluorescence Techniques? by Sara Anselmo, Elisa Bonaccorso, Chiara Gangemi, Giuseppe Sancataldo, Valeria Conti Nibali, Giovanna D’Angelo

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The instrumental value of advance directives: lesson learned from the COVID-19 pandemic for policymaking by Elisabeth Stock, Christian H. Nickel, Bernice S. Elger, Andrea Martani

“…We show, with particular reference to lessons learned from the COVID-19 pandemic, that AD are instrumentally valuable in that they: (1) allow to thematise death; (2) ensure that overtreatment is avoided; (3) enable to better respect the wish of people to die at their preferred place; (4) help revive the “lost skill” of prognostication. …”
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Deep learning for enhanced risk management: a novel approach to analyzing financial reports by Xiangting Shi, Yakang Zhang, Manning Yu, Lihao Zhang

Subjects: “…Deep learning…”
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Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm by Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, Ehab M. Almetwally, Marwa M. Eid, El-Sayed M. El-Kenawy

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Analyzing the impact of deep learning algorithms and fuzzy logic approach for remote English translation by Xiuying Han

Subjects: “…Deep learning…”
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Learning Evolutionary Stages with Hidden Semi-Markov Model for Predicting Social Unrest Events by Fengcai Qiao, Xin Zhang, Jinsheng Deng

“…Our previous work built a hidden Markov model- (HMM-) based framework to predict indicators associated with country instability, leaving two shortcomings which can be optimized: omitting event participants’ interaction and implicitly learning the state residence time. Inspired by this, we propose a new prediction framework in this paper, using frequent subgraph patterns and hidden semi-Markov models (HSMMs). …”
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Lesson y learning Study y la idea del docente como investigador by John ELLIOTT

Subjects: “…lesson y learning studies…”
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Autonomous Robotic Manipulation: Real-Time, Deep-Learning Approach for Grasping of Unknown Objects by Malak H. Sayour, Sharbel E. Kozhaya, Samer S. Saab

“…Recent advancement in vision-based robotics and deep-learning techniques has enabled the use of intelligent systems in a wider range of applications requiring object manipulation. …”
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Learning Dendritic-Neuron-Based Motion Detection for RGB Images: A Biomimetic Approach by Tianqi Chen, Yuki Todo, Zhiyu Qiu, Yuxiao Hua, Delai Qiu, Xugang Wang, Zheng Tang

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Image recognition technology for bituminous concrete reservoir panel cracks based on deep learning. by Kai Hu, Yang Ling, Jie Liu

“…This study introduces a novel deep learning-based anomaly model for effective crack detection. …”
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Machine learning suggests climate and seasonal definitions should change under global warming by Milton Speer, Lance Leslie

“…The greater frequency and variability of floods, heatwaves, and droughts challenge traditional definitions of climate periods as 30-year means. Machine learning (ML) studies, focusing on southern Australia, identified the dominant attributes of these precipitation and temperature events. …”
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Revolutionizing Education with Artificial Intelligence (AI)? Challenges, and Implications for Open and Distance Learning (ODL) by Mohd Rushidi Mohd Amin, Ismaanzira Ismail, Vinesh Maran Sivakumaran

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