Iterative Learning Control of a Nonlinear Aeroelastic System despite Gust Load by Xing-zhi Xu, Ya-kui Gao, Wei-guo Zhang

“…A novel Barrier Lyapunov Function (BLF) is incorporated in the proposed Barrier Composite Energy Function (BCEF) approach. …”
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Development of Functional Arabic Grammar (Nahwu) Textbooks Based on Local Wisdom for Arabic Language Students by Fina Nur Azizah, Afif Kholisun Nashoih

“…This research is motivated by the assumption that Arabic itself is one of the Semitic language families that is considered difficult to learn, because it has a complex grammar. Likewise, learning resources, teaching materials, textbooks and also nahwu books are known to be traditional, thick, and a little boring because they are only in the form of writing, and less interesting to learn. …”
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Gait and Trajectory Optimization by Self-Learning for Quadrupedal Robots with an Active Back Joint by Ariel Masuri, Oded Medina, Shlomi Hacohen, Nir Shvalb

“…This paper presents an efficient technique for a self-learning dynamic walk for a quadrupedal robot. The cost function for such a task is typically complicated, and the number of parameters to be optimized is high. …”
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A Novel Bayesian Geophysical Inversion Method to Address Loss Function Bias: The Iterative Normalizing Flows Model by Binbin Liao, Xiaodong Chen, Jianqiao Xu, Jiangcun Zhou, Heping Sun

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Liberating the open and distance learning model from the chains of oppressive education theories by Mackenzie Ishmael Chibambo, Joseph Jinja Divala, Aggripa Chingombe

“…This study argues that open and distance learning (ODL) continues to function as a platform for producing factory-like workers and white-collar laborers whose primary function is to serve the capitalist labor market. …”
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Internet of things data security and privacy protection based on improved federated learning by Wang Gang

“…To ensure the security of IoT data and user privacy in various scenarios, the federated learning (FL) method is optimized based on function encryption and blockchain. …”
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Tensor tree learns hidden relational structures in data to construct generative models by Kenji Harada, Tsuyoshi Okubo, Naoki Kawashima

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mTanh: A Low-Cost Inkjet-Printed Vanishing Gradient Tolerant Activation Function by Shahrin Akter, Mohammad Rafiqul Haider

“…These results highlight the potential of mTanh as a promising activation function for deep learning models, particularly in flexible electronics applications.…”
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Reinforcement Learning-Based Intent Classification of Chinese Questions About Respiratory Diseases by Hao Wu, Degen Huang, Xiaohui Lin

“…Based on the characteristics of CQRD, we propose a keywords-based reinforcement learning model. In the reinforcement learning model based on keywords, we crafted a word frequency reward function to aid in generating the reward function and determining keyword categories. …”
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On the performance of non‐profiled side channel attacks based on deep learning techniques by Ngoc‐Tuan Do, Van‐Phuc Hoang, Van Sang Doan, Cong‐Kha Pham

“…In addition, the effect of the activation function on the proposed DL models was investigated. …”
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A Multi-Agent Approach to Modeling Task-Oriented Dialog Policy Learning by Songfeng Liang, Kai Xu, Zhurong Dong

“…In each update, we utilize the maximum action value function to determine the appropriate dialogue action, while the maximum state value function serves to guide the policy learning process. …”
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A Fused Multiscale Pictorial Sequence Learning Mechanism Applied to Pavement Detection by Zhang Jiazhen, Wang Xiulai, Zhao Shuxu

“…Then iterative feature set is embedded into the pictographic subsequence learning module to rapidly extract most representative subsequence features through deep learning. …”
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Regional MRI Perfusion Measures Predict Motor/Executive Function in Patients with Clinically Isolated Syndrome by Efrosini Z. Papadaki, Panagiotis G. Simos, Vasileios C. Mastorodemos, Theodora Panou, Thomas G. Maris, Apostolos H. Karantanas, Andreas Plaitakis

“…Patients with clinically isolated syndrome (CIS) demonstrate brain hemodynamic changes and also suffer from difficulties in processing speed, memory, and executive functions. Objective. To explore whether brain hemodynamic disturbances in CIS patients correlate with executive functions. …”
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Rhythmic Roots: The Adaptive Functions of Vocal Isochrony and Its Role in Human Music and Language Evolution by Julia V. Grabner, Anna E. Kempf, Alma M. N. Nederlof, Judith M. Varkevisser, Michelle J. Spierings

“…In the evolution of music and language, the capacity for vocal learning is hypothesised to have played a key role, with vocal learning species thought to have more advanced rhythmic capabilities. …”
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The influence of chronic cerebral hypoperfusion on cognitive function and amyloid β metabolism in APP overexpressing mice. by Mahito Yamada, Masafumi Ihara, Yoko Okamoto, Takakuni Maki, Kazuo Washida, Akihiro Kitamura, Yoshiki Hase, Hidefumi Ito, Keizo Takao, Tsuyoshi Miyakawa, Raj N Kalaria, Hidekazu Tomimoto, Ryosuke Takahashi

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Supervised optimal control in complex continuous systems with trajectory imitation and reinforcement learning by Yingjun Liu, Fuchun Liu, Renwei Huang

“…For complex scenarios where the reward function cannot be achieved or is only with sparse rewards, we proposed a novel supervised optimal control framework based on trajectory imitation (TI) and reinforcement learning (RL) in this paper. …”
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Noisier2Inverse: Self-Supervised Learning for Image Reconstruction With Correlated Noise by Nadja Gruber, Johannes Schwab, Markus Haltmeier, Ander Biguri, Clemens Dlaska, Gyeongha Hwang

“…We propose Noisier2Inverse, a correction-free, self-supervised deep learning method for general inverse problems. Our approach learns a reconstruction function without requiring ground truth data and is applicable in settings where measurement noise is statistically correlated. …”
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Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation by Mayr W, Triantafyllopoulos A, Batliner A, Schuller BW, Berghaus TM

“…We evaluated a machine learning analysis of speech for classifying the disease severity of COPD.Methods: In this single centre study, non-consecutive COPD patients were prospectively recruited for comparing their speech characteristics during and after an acute COPD exacerbation. …”
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Evaluation of the Influence of <i>Tanacetum vulgare</i> Extract on Cognitive Functions and Hippocampal BDNF Expression by Borislava Lechkova, Michaela Shishmanova-Doseva, Niko Benbassat, Reneta Gevrenova, Pepa Atanassova, Nadya Penkova, Lyudmil Peychev, Petar Hrischev, Zhivko Peychev, Stanislava Ivanova

“…However, the literature data on its effects on cognitive function are scarce. The aim of the present work was to evaluate the effects of two doses of <i>T. vulgare</i> alcohol extract on cognitive functions, hippocampal brain-derived neurotrophic factor (BDNF) expression, and organ toxicity in rats. …”
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Mapping urban functional zones with remote sensing and geospatial big data: a systematic review by Shouhang Du, Xiuyuan Zhang, Yichen Lei, Xin Huang, Wei Tu, Bo Liu, Qingyan Meng, Shihong Du

“…Data features consist of the remote sensing image-derived features (such as visual, spatial pattern, and abstract features) and the geospatial big data-derived features (such as spatial, attribute, and temporal features). For function classification, kernel density estimation, cluster analysis, supervised machine learning, probabilistic topic models, and deep learning methods have been applied. …”
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