Heavy and Lightweight Deep Learning Models for Semantic Segmentation: A Survey by Cristina Carunta, Alina Carunta, Calin-Adrian Popa

Subjects: “…Complex deep learning models…”
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Learning Discriminative Salient LBP for Cloud Classification in Wireless Sensor Networks by Shuang Liu, Zhong Zhang

“…The proposed method is a two-layer model for learning discriminative patterns. The first layer is designed to learn the most salient and robust patterns from each class, and the second layer is used to obtain features with discriminative power and representation capability. …”
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A Case of False Negative NIPT for Down Syndrome-Lessons Learned by Meagan Smith, Kimberly M. Lewis, Alexandrea Holmes, Jeannie Visootsak

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Accelerating antimicrobial peptide design: Leveraging deep learning for rapid discovery. by Ahmad M Al-Omari, Yazan H Akkam, Ala'a Zyout, Shayma'a Younis, Shefa M Tawalbeh, Khaled Al-Sawalmeh, Amjed Al Fahoum, Jonathan Arnold

“…Machine learning and deep learning are used to predict antimicrobial peptide efficacy in the study. …”
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Evaluation of the Blended Learning Program at SD Negeri 1 Baturan Klaten by Endar Chrisdiyanto, Ramadian Radite, Sri Retnaning Hastuti

Subjects: “…blended learning…”
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Learning interventions and training methods in health emergencies: A scoping review. by Heini Utunen, Giselle Balaciano, Elham Arabi, Anna Tokar, Aphaluck Bhatiasevi, Jane Noyes

“…Providing "just in time" support and opportunities for learning in health emergencies is much needed for capacity building. …”
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Persistent Homology Combined with Machine Learning for Social Network Activity Analysis by Zhijian Zhang, Yuqing Sun, Yayun Liu, Lin Jiang, Zhengmi Li

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An Overview of Application of Machine Learning Models in Urban Flood Simulation and Forecasting by CHEN Zeming, FANG Xuhong, LI Jiaye, WANG Mengyao, CHEN Aifang, YIN Ling

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MASC: Wearable Design for Infectious Disease Detection Through Machine Learning by Sumaiya Afroz Mila, Bhagawat Baanav Yedla Ravi, Md Rafiul Kabir, Sandip Ray

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The sound of science: a sonification learning experience in an Italian secondary school by Giacomo Eramo, Serafina Pastore, Mario De Tullio, Valeria Rossini, Alessandro Monno, Ernesto Mesto

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Open-world barely-supervised learning via augmented pseudo labels by Zhongnian Li, Yanyan Ding, Meng Wei, Xinzheng Xu

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Channel state information acquisition algorithm based on deep learning for IoT by Yong LIAO, Haimei YAO, Yuanxiao HUA

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Classification of ductile cast iron specimens: a machine learning approach by A. De Santis, D. Iacoviello, V. Di Cocco, F. Iacoviello

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Exploring happiness factors with explainable ensemble learning in a global pandemic. by Md Amir Hamja, Mahmudul Hasan, Md Abdur Rashid, Md Tanvir Hasan Shourov

“…This paper predicts happiness scores using Machine Learning (ML), Deep Learning (DL), and ensemble ML and DL algorithms and examines the impact of individual variables on the happiness index. …”
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Graph representation federated learning for malware detection in Internet of health things by Mohamed Amjath, Shagufta Henna, Upaka Rathnayake

Subjects: “…Federated learning…”
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Intelligent monitoring method for conveyor belt misalignment based on deep learning by ZUO Mingming, ZHANG Xi, YANG Zihao, SUN Qifei, ZHANG Mengchao, ZHANG Yuan, LI Hu

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A Review of Reinforcement Learning for Fixed-Wing Aircraft Control Tasks by David J. Richter, Ricardo A. Calix, Kyungbaek Kim

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Self-Regulated Learning Skills in Vocational Students Based on Their Self-Evaluation by Meidi Sirk

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On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction by Yanwen Wang, Mahdi Khodadadzadeh, Raúl Zurita-Milla

Subjects: “…Machine learning…”
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Quantum machine learning with Adaptive Boson Sampling via post-selection by Francesco Hoch, Eugenio Caruccio, Giovanni Rodari, Tommaso Francalanci, Alessia Suprano, Taira Giordani, Gonzalo Carvacho, Nicolò Spagnolo, Seid Koudia, Massimiliano Proietti, Carlo Liorni, Filippo Cerocchi, Riccardo Albiero, Niki Di Giano, Marco Gardina, Francesco Ceccarelli, Giacomo Corrielli, Ulysse Chabaud, Roberto Osellame, Massimiliano Dispenza, Fabio Sciarrino

“…Our experimental results demonstrate that Adaptive Boson Sampling is a viable route towards dimension-enhanced quantum machine learning with linear optical devices.…”
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