Accurate Identification of Cancerlectins through Hybrid Machine Learning Technology by Jieru Zhang, Ying Ju, Huijuan Lu, Ping Xuan, Quan Zou

“…In this study, various protein fingerprint features and advanced classifiers, including ensemble learning techniques, were utilized to identify this group of proteins. …”
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Physics-guided actor-critic reinforcement learning for swimming in turbulence by Christopher Koh, Laurent Pagnier, Michael Chertkov

“…We explore optimally balancing these efforts by developing a novel physics-informed reinforcement learning strategy and comparing it with prescribed control and physics-agnostic reinforcement learning strategies. …”
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Inculcating of sasak local cultural values in learning at elementary school by Aswasulasikin Aswasulasikin, Dina Fadilah, Yul Alfian Hadi

“…Third, there is no Sasak local culture curriculum that can be used as a reference in learning in elementary schools. Most elementary school students do not know Sasak culture because most schools cannot instill Sasak cultural values through learning as a culture that must be understood and as a guide in students’ daily life. …”
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Remote Laboratory Experiments in a Virtual Immersive Learning Environment by Luca Berruti, Franco Davoli, Sandro Zappatore, Gianluca Massei, Amedeo Scarpiello

“…The Virtual Immersive Learning (VIL) test bench implements a virtual collaborative immersive environment, capable of integrating natural contexts and typical gestures, which may occur during traditional lectures, enhanced with advanced experimental sessions. …”
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Attention-based deep learning for accurate cell image analysis by Xiangrui Gao, Fan Zhang, Xueyu Guo, Mengcheng Yao, Xiaoxiao Wang, Dong Chen, Genwei Zhang, Xiaodong Wang, Lipeng Lai

“…Noisy and redundant signals in cell images impede accurate deep learning-based image analysis. To address these issues, we introduce X-Profiler, a novel HCA method that combines cellular experiments, image processing, and deep learning modeling. …”
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Application of Improved Deep Learning Method in Intelligent Power System by HuiJie Liu, Yang Liu, ChengWen Xu

“…In view of the inaccurate short-term power load prediction in the power system, where the smart grid cannot effectively coordinate the production, transportation, and distribution of electric energy, the authors propose the application of improved deep learning methods in intelligent power systems. The method uses the convolutional neural network to establish the energy prediction calculation model, uses CNN adaptive data features to mine characteristics, quantifies power uncertainty, uses drop regularization to optimize the deep network structure, uses the deep forest to learn the extracted data features, and builds a prediction model, in order to achieve accurate prediction of power load and solve the problem that the accuracy of existing forecasting methods decreases due to random fluctuations of power. …”
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Federated Learning for Decentralized DDoS Attack Detection in IoT Networks by Yaser Alhasawi, Salem Alghamdi

Subjects: “…Federated learning…”
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Face Recognition using Deep Learning and TensorFlow framework by Makrem Beldi

“…However, machine learning remains a relatively complex field that could feel intimidating or inaccessible to many of us. …”
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Network Representation Based on the Joint Learning of Three Feature Views by Zhonglin Ye, Haixing Zhao, Ke Zhang, Zhaoyang Wang, Yu Zhu

Subjects: “…network representation learning…”
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Predicting carbon peak at the provincial level using deep learning by Xiaoyan Tang, Kunsheng Fang

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Knowledge Graph Entity Similarity Calculation under Active Learning by Lianhuan Li, Zheng Zhang, Shaoda Zhang

“…To address the objectives of the adaptive learning platform, the requirements of the system in terms of business, functionality, and performance are mainly analysed, and the design of functions and database is completed; then, an updatable learner model is constructed based on the cognitive diagnosis model and resource preference attributes; then, the construction of the knowledge map is completed based on embedding to achieve knowledge point alignment, and based on this, the target knowledge points of learners are located with the help of deep learning; at the same time, the target knowledge points are taken as the starting point to generate the best learning path by traversing the knowledge map, and the corresponding learning resources and test questions are recommended for them with the help of the architecture; finally, the adaptive learning platform is developed in the environment using the architecture. …”
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Being in the teaching laboratory: explorations of material agents in student learning by Rie Malm

“… The laboratory has long been conceptualised as central for learning science in higher education. Students are provided with possibilities to learn content, develop skills, and thereby gain confidence working in a laboratory. …”
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Globality-Locality Preserving Maximum Variance Extreme Learning Machine by Yonghe Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Dongyu Zhang, Shaowu Zhang, Xiaochao Fan, Chen Shen, Deqin Yan

“…An extreme learning machine (ELM) is a useful technique for machine learning; however, the existing extreme learning machine methods cannot exploit the geometric structure information or discriminate information of the data space well. …”
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Multi-view knowledge representation learning for personalized news recommendation by Chao Chang, Feiyi Tang, Peng Yang, Jingui Zhang, Jingxuan Huang, Junxian Li, Zhenjun Li

Subjects: “…Multi-view Representation Learning…”
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Machine learning in echocardiography-based prediction model of cardiovascular diseases by Zubaire Yasheng, Ruohan Zhao, Ye Zhu, Zisang Zhang, Qing Lv, Mingxing Xie, Li Zhang, Ting Gao

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E-LEARNING CHALLENGES IN POLAND DURING THE COVID-19 PANDEMIC by Agieszka Parlińska

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Adobe flash based learning media development in economic lessons by Muh. Fahrurrozi, Mohzana Mohzana

“…This study aims to determine the development of adobe flash-based audio-visual learning media in economic subjects, to determine the feasibility of adobe flash-based audiovisual learning media as a learning medium in the learning process, to determine student assessments in using adobe flash-based audiovisual learning media in subjects the economy. …”
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EVLearn: extending the cityLearn framework with electric vehicle simulation by Tiago Fonseca, Luis Lino Ferreira, Bernardo Cabral, Ricardo Severino, Kingsley Nweye, Dipanjan Ghose, Zoltan Nagy

“…Results validated the extension of CityLearn, where the impact of these strategies is highlighted through a comparative simulation scenario.…”
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Music Emotion Research Based on Reinforcement Learning and Multimodal Information by Yue Hu

“…The model dynamically adjusts the emotional analysis results by learning the user’s behavior, so as to realize the personalized customization of the user’s emotional preference.…”
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Research and application of traffic engineering algorithm based on deep learning by Daoyun HU, Jin QI, Qianchun LU, Feng LI, Hongqiang FANG

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