Deep Learning Based Proactive Caching for Effective WSN-Enabled Vision Applications by Fangyuan Lei, Jun Cai, Qingyun Dai, Huimin Zhao

“…Firstly, based on Software Defined Network (SDN) and Network Function Virtualization (NFV) technologies, a distributed deep learning network SSAE is constructed in the sink nodes and control nodes of the WSN network. …”
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COVID-19 World Vaccination Progress Using Machine Learning Classification Algorithms by Nasiba M. Abdulkareem, Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Dathar A. Hasan

Subjects: “…COVID-19 Vaccine, Machine learning, Classification algorithm, Dataset, weka…”
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An Intelligent Framework Based on Deep Learning for SMS and e-mail Spam Detection by Umair Maqsood, Saif Ur Rehman, Tariq Ali, Khalid Mahmood, Tahani Alsaedi, Mahwish Kundi

“…In previous studies using machine learning (ML), spam detection using a small dataset has resulted in lower accuracy. …”
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Deep learning powered single-cell clustering framework with enhanced accuracy and stability by Yi Zhang, Xi Feng, Yin Wang, Kai Shi

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Speech-based personality prediction using deep learning with acoustic and linguistic embeddings by Martin Lukac

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The effectiveness of service learning-esd content in equipping students with problem-solving skills by Nurhaliza Nurhaliza, Nuryani Rustaman, Widi Purwianingsih, Salahuddin Salahuddin

“…Service learning contains ESD is one of the learning approaches that is suitable for students in the field of science. …”
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The neuroscientific basis of flow: Learning progress guides task engagement and cognitive control by Hairong Lu, Dimitri Van der Linden, Arnold B. Bakker

Subjects: “…Learning progress…”
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Some aspects of changing mathematics curricula at school: an interpretative approach to teaching and learning by Saulius Zybartas

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A large synthetic dataset for machine learning applications in power transmission grids by Marc Gillioz, Guillaume Dubuis, Philippe Jacquod

“…Fast, essentially real-time computational approaches to evaluate their operational safety, stability and reliability are therefore highly desirable. Machine Learning methods have been advocated to solve this challenge, however they are heavy consumers of training and testing data, while historical operational data for real-world power grids are hard if not impossible to access. …”
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Learning-based DoS attack game strategy over multi-process systems by Zhiqiang Hang, Xiaolin Wang, Fangfei Li, Yi-ang Ren, Haitao Li

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BenthicNet: A global compilation of seafloor images for deep learning applications by Scott C. Lowe, Benjamin Misiuk, Isaac Xu, Shakhboz Abdulazizov, Amit R. Baroi, Alex C. Bastos, Merlin Best, Vicki Ferrini, Ariell Friedman, Deborah Hart, Ove Hoegh-Guldberg, Daniel Ierodiaconou, Julia Mackin-McLaughlin, Kathryn Markey, Pedro S. Menandro, Jacquomo Monk, Shreya Nemani, John O’Brien, Elizabeth Oh, Luba Y. Reshitnyk, Katleen Robert, Chris M. Roelfsema, Jessica A. Sameoto, Alexandre C. G. Schimel, Jordan A. Thomson, Brittany R. Wilson, Melisa C. Wong, Craig J. Brown, Thomas Trappenberg

“…These are accompanied by 3.1 million annotations translated to the CATAMI scheme, which span 190,000 of the images. A large deep learning model was trained on this compilation and preliminary results suggest it has utility for automating large and small-scale image analysis tasks. …”
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BidCorpus: A multifaceted learning dataset for public procurementHugging Face by Weslley Lima, Victor Silva, Jasson Silva, Ricardo Lira, Anselmo Paiva

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Dynamic Coverage Based on Neural Gas Learning Algorithm for Wireless Sensor Network by Yanjing Sun, Jiansheng Qian, Li Li

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Computational thinking on concept pattern number: A study learning style Kolb by Ratni Purwasih, Turmudi Turmudi, Jarnawi Afgani Dahlan, Naufal Ishartono

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On Quantum Methods for Machine Learning Problems Part II: Quantum Classification Algorithms by Farid Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu

“…This second part of the review presents several classification problems in machine learning that can be accelerated with quantum subroutines. …”
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Integrating Dilemma Stories into Chemistry Learning: Analyzing Students’ Critical Thinking Skills by Tritiyatma Hadinugrahaningsih, Yuli Rahmawati, Rika Siti Syaadah, Fitri Sumalia Dewi, Shakira Az-Zahra, Fitri Tamarani

Subjects: “…chemistry learning…”
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Rating pome fruit quality traits using deep learning and image processing by Nhan H. Nguyen, Joseph Michaud, Rene Mogollon, Huiting Zhang, Heidi Hargarten, Rachel Leisso, Carolina A. Torres, Loren Honaas, Stephen Ficklin

Subjects: “…machine learning…”
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Retracted: Real-Time Analysis of Basketball Sports Data Based on Deep Learning by null Complexity

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Anomaly Detection in High Mobility MDT Traces Through Self-Supervised Learning by J. M. Sanchez-Martin, C. Gijon, M. Toril, S. Luna-Ramirez, V. Wille

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Deploying and Managing a Network of Autonomous Internet Measurement Probes: Lessons Learned by Urban Sedlar, Miha Rugelj, Mojca Volk, Janez Sterle

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