Automatic Maize Leaf Disease Recognition Using Deep Learning by Muhammet Çakmak

“…While traditional machine learning methods require perfect manual feature extraction for image classification, deep learning networks extract image features autonomously and function without pre-processing. …”
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Tensor-networks-based learning of probabilistic cellular automata dynamics by Heitor P. Casagrande, Bo Xing, William J. Munro, Chu Guo, Dario Poletti

“…In addition, we find that the ability to learn these dynamics is a function of the bitwise difference between the rules and whether one is much more likely than the other.…”
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Hybrid Online and Offline Reinforcement Learning for Tibetan Jiu Chess by Xiali Li, Zhengyu Lv, Licheng Wu, Yue Zhao, Xiaona Xu

“…A learning strategy that uses SARSAλ and Q-learning algorithms combining domain knowledge for a feedback function for layout and battle stages is proposed. …”
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An attack detection method based on deep learning for internet of things by Yihan Yu, Yu Fu, Taotao Liu, Kun Wang, Yishuai An

“…To address these issues, this paper proposes an attack detection method based on deep learning for IoT. Firstly, a genetic algorithm is used for feature selection; secondly, a cost-sensitive function is employed to address the scarcity of attack traffic in IoT; and finally, a combination of Convolutional Neural Networks and Long Short Term Memory Network is utilized to extract spatiotemporal information from the network. …”
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PICL: Physics informed contrastive learning for partial differential equations by Cooper Lorsung, Amir Barati Farimani

“…Neural operators have recently grown in popularity as Partial Differential Equation (PDE) surrogate models. Learning solution functionals, rather than functions, has proven to be a powerful approach to calculate fast, accurate solutions to complex PDEs. …”
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Based on model randomization and adaptive defense for federated learning schemes by Gaofeng Yue, Xiaowei Han

“…Abstract Federated Learning (FL) is a privacy-enhancing technique that enables multiple participants to collaboratively train machine learning models without sharing their local data. …”
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Decentralized Nonstationary Fuzzy Neural Network with Meta-Learning-Net by Zhen Zhang, Meiling Yu, Hui Jia

“…However, the update of disturbance parameters in an NFNN is restricted due to the necessity of maintaining a regular membership function, which limits its learning capability. To address this limitation, we propose a Decentralized NFNN (DNFNN) that overcomes the obstacles in the backward update process and enhances the efficiency of large-scale optimization. …”
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Lowering reinforcement learning barriers for quadruped locomotion in the task space by Cooke Lauren, Fisher Callen

“…However, DRL presents a steep learning curve and a large barrier to entry for novice researchers. …”
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Information-extremе machine learning for object identification on the terrain by V. V. Moskalenko, A. H. Korobov

“…Kulbak's information measure, which is a function of false omission rate and positive predictive value of decision-making and it also allows machine learning on imbalanced dataset.…”
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A Transfer Learning Algorithm Based on Regularized Discriminant Analysis by WANG Li-li, FENG Qi-shuai, CHEN De-yun, YANG Hai-lu

“…Aiming at the problem that most instance-based transfer learning methods are difficult to estimate the distribution parameters and having poor generalization ability, a regularized discriminant transfer learning algorithm is proposed. …”
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Information Assisted Dictionary Learning for fMRI Data Analysis by Manuel Morante, Yannis Kopsinis, Sergios Theodoridis, Athanassios Protopapas

“…Moreover, it can cope efficiently with uncertainties in the modeling of the hemodynamic response function. In addition, the method bypasses one of the major drawbacks of the DL methods; namely, the selection of the sparsity-related regularization parameters. …”
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Research on online inspection of pantograph and catenary based on deep learning by ZHOU Zhaoan, LI Shuzhi

“…The system has high robustness and practicability, which can provide theory basis and design reference for online inspection function of pantograph-catenary abnormality in the future.…”
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Neuroscience and language acquisition and learning: a systematic literature review by María Ángeles Quesada Cubo, Mario Peña Sánchez

“…This indicated a paradigm shift in pedagogical practices towards approaches that incorporated a deeper understanding of brain structure and function in education, although further research was needed. …”
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U-shaped learning: a new model for transdisciplinary education by Gemma O’Sullivan

“…As a result, many practitioners find themselves designing transdisciplinary learning experiences without an evidence base regarding the learning process, the learning gains of those involved or learning design principles. …”
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Attention-Guided Deep Reinforcement Learning for Realistic Neural Painting by Xin Huang, Minglun Gong

“…Motivated by this observation, we propose an attention-guided deep reinforcement learning framework for stroke planning that emulates human painting processes. …”
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The role of learned song in the evolution and speciation of Eastern and Spotted towhees. by Ximena León Du'Mottuchi, Nicole Creanza

“…Oscine songbirds learn vocalizations that function in mate attraction and territory defense; sexual selection pressures on these learned songs could thus accelerate speciation. …”
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Learning From Imbalanced Data Using Triplet Adversarial Samples by Jaesub Yun, Jong-Seok Lee

“…The imbalance of classes in real-world datasets poses a major challenge in machine learning and classification, and traditional synthetic data generation methods often fail to address this problem effectively. …”
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Private Data Protection with Machine Unlearning in Contrastive Learning Networks by Kongyang Chen, Zixin Wang, Bing Mi

“…However, most existing approaches focus primarily on supervised learning scenarios, leaving the unlearning of contrastive learning models underexplored. …”
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The Line Pressure Detection for Autonomous Vehicles Based on Deep Learning by Xuexi Zhang, Ying Li, Ruidian Zhan, Jiayang Chen, Junxian Li

“…Nowadays, vehicle line pressure detection is an important function of an intelligent transportation system. At present, the line pressure detection algorithms mainly include algorithms based on traditional features and models and algorithms based on deep learning. …”
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Implementation of Moodle, an open-source solution for Team Based Learning by Reid Proctor, Renee Hayslett

“… Conventional Team-Based Learning (TBL) uses a paper-based system to deliver a team-quiz component of the instructional method. …”
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