Equity-enhanced glaucoma progression prediction from OCT with knowledge distillation by Sulaiman O. Afolabi, Leila Gheisi, Jing Shan, Lucy Q. Shen, Mengyu Wang, Min Shi

“…An equity-aware EfficientNet was trained for glaucoma detection, which was then adapted for progression prediction with knowledge distillation. …”
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Structure Optimization in Deep Neural Networks with Synaptic Pruning Based on Connection Appraisal by Aghil Ahmadi, Reza Mahboobi Esfanjani

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Continual deep reinforcement learning with task-agnostic policy distillation by Muhammad Burhan Hafez, Kerim Erekmen

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Recognizing Epithelial Cells in Prostatic Glands Using Deep Learning by Liton Devnath, Puneet Arora, Anita Carraro, Jagoda Korbelik, Mira Keyes, Gang Wang, Martial Guillaud, Calum MacAulay

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Multi-wavelength optical information processing with deep reinforcement learning by Qiuquan Yan, Hao Ouyang, Zilong Tao, Meili Shen, Shiyin Du, Jun Zhang, Hengzhu Liu, Hao Hao, Tian Jiang

“…To mitigate these issues, this study introduces a deep reinforcement learning calibration (DRC) method inspired by the deep deterministic policy gradient training strategy. …”
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Concept Drift Detection Based on Deep Neural Networks and Autoencoders by Lisha Hu, Yaru Lu, Yuehua Feng

“…To address this challenge, we propose a concept drift detection method based on deep neural networks combined with autoencoders (Concept Drift Detection Based on Deep Neural Network Combined with Autoencoder, DNN+AE-DD). …”
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Golf swing classification with multiple deep convolutional neural networks by Libin Jiao, Rongfang Bie, Hao Wu, Yu Wei, Jixin Ma, Anton Umek, Anton Kos

“…The use of smart sports equipment and body sensory systems supervising daily sports training is gradually emerging in professional and amateur sports; however, the problem of processing large amounts of data from sensors used in sport and discovering constructive knowledge is a novel topic and the focus of our research. …”
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Arabic speech recognition using end‐to‐end deep learning by Hamzah A. Alsayadi, Abdelaziz A. Abdelhamid, Islam Hegazy, Zaki T. Fayed

“…These approaches are based on the Mel‐Frequency Cepstral Coefficients and the log Mel‐Scale Filter Bank energies as acoustic features. To the best of our knowledge, end‐to‐end deep learning approach has not been used in the task of diacritised Arabic automatic speech recognition. …”
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Modeling Collective Behavior for Fish School With Deep Q-Networks by Pengyu Chen, Fang Wang, Shuo Liu, Yifan Yu, Shengzhi Yue, Yanan Song, Yuanshan Lin

“…This paper proposes a Deep Q-Networks (DQN)-based modeling method for fish school. …”
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Optical quantum sensing for agnostic environments via deep learning by Zeqiao Zhou, Yuxuan Du, Xu-Fei Yin, Shanshan Zhao, Xinmei Tian, Dacheng Tao

“…Addressing this limitation, we introduce an innovative deep-learning-based quantum sensing scheme (DQS), enabling optical quantum sensors to attain HL in agnostic environments. …”
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Bacterial Disease Detection of Cherry Plant Using Deep Features by Hatice Kayhan, Emrah Dönmez, Yavuz Ünal

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On the Challenges of Quantum Circuit Encoding Using Deep and Reinforcement Learning by Patrick Selig, Niall Murphy, David Redmond, Simon Caton

“…Recent results have shown that deep learning augmented search has the potential to discover good circuits for a problem, but it is not yet sufficiently understood how well deep learning is able to model such a complex domain: the search space and output space grow exponentially. …”
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Intelligent Model for Brain Tumor Identification Using Deep Learning by Abdul Hannan Khan, Sagheer Abbas, Muhammad Adnan Khan, Umer Farooq, Wasim Ahmad Khan, Shahan Yamin Siddiqui, Aiesha Ahmad

“…CNN uses the image fragments to train the data and classify them into tumor types. …”
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Natural training tools of informatics in conditions of embodied and mental approach realization by Daria A. Barkhatova, Elmira A. Nigmatulina, Tatyana A. Stepanova

“…Modern processes of globalization and informatization of human activity cause the necessity of change of the educational paradigm in the field of information training of a person, focused on the formation of the strong fundamental knowledge and abilities, which are necessary for person’s information activities and self-education during all life.In connection with these requirements, it is necessary to pay attention to new approaches in education, based on achievements of cognitive science and modern pedagogic. …”
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Predicting critical transitions with machine learning trained on surrogates of historical data by Zhiqin Ma, Chunhua Zeng, Yi-Cheng Zhang, Thomas M. Bury

“…More recent studies found that deep learning classifiers trained on synthetic data could improve performance. …”
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Strategic Directions of Pedagogical Personnel Training for the System of Continuing Vocational Education by E. F. Zeer, V. S. Tretyakova, V. I. Miroshnichenko

“…Dynamic development of high technologies and rapid obsolescence of knowledge significantly reduced life cycle of professions and caused deep structural changes in the sphere of employment. …”
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BDEKD: mitigating backdoor attacks in NLP models via ensemble knowledge distillation by Zijie Zhang, Xinyuan Miao, Chenyu Zhou, Chenming Shang, Xi Chen, Xianglong Kong, Wei Huang, Yi Cao

“…Abstract Backdoor attacks present significant risks to the security of deep neural networks (DNNs) in NLP domain, as the attackers can covertly manipulate the model’s output behavior either by poisoning the training data or tampering model’s training process. …”
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Promoting prospective teachers’ conceptual knowledge through web-based blended learning by Yurniwati Yurniwati, Gusti Yarmi

“…On that ground, prospective teachers need to develop the conceptual knowledge to have a deep understanding of the concept and how the concepts are related to each other. …”
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Federated knowledge distillation for enhanced insulator defect detection in resource‐constrained environments by Xiaohu Huang, Minghui Jia, Xianghua Tai, Wei Wang, Qi Hu, Dongping Liu, Peiheng Guo, Shengxiang Tian, Dequan Yan, Haishan Han

“…Hence, an insulator defect detection method based on federated knowledge distillation is proposed. The method not only realises the lightweighting of the model, but also effectively improves the model performance by collaboratively training the model through the federated learning approach. …”
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Automatic detection of manipulated Bangla news: A new knowledge-driven approach by Aysha Akther, Kazi Masudul Alam, Rameswar Debnath

“…To address these challenges, we proposed a knowledge-based Bangla fake news detection model that does not require model training. …”
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