Intelligent Vehicle Automatic Stop-and-Go Task Based on Humanized Learning Control Model by Tianjun Sun, Zhenhai Gao, Fei Gao, Tianyao Zhang, Di Ji, Siyan Chen

“…Then, the vehicle automatic starting function is designed based on iterative learning control with the fast Fourier transform for acceleration fitting. …”
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Rule-Based Multi-Task Deep Learning for Highly Efficient Rice Lodging Segmentation by Ming-Der Yang, Hsin-Hung Tseng

“…Multi-task learning combines rule-based loss functions and learns the best loss function to train a model conforming to prior knowledge. …”
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Role of Social Media Health Influencers on Purchase Intention of Functional Beverages: Moderating Impact of Health Consciousness by Satinder Kumar, Bipinpreet Kaur, Shavina Goyal

“…Motive of the study is to examine the influence of SMHIs on consumers’ intention to purchase functional beverages in the presence of health consciousness. …”
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Internal Security Cooperation under Functional Expectations: Initial Law Enforcement Europeanization – Case of Finland and Estonia by Ramon Loik, Erkki Hämäläinen, Viljar Veebel

“…This paper argues that functional expectations require removal of barriers and construction of a common security area, but sometimes better cooperation in practice does not fit, as Europeanization of law enforcement still lacks understanding of objectives, values and principles for improving international trust, consensus, sincere cooperation and effective national coordination. …”
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APPLICATION OF CAUSAL ANALYSIS OF DISRUPTIONS AND THE FUNCTIONAL RESONANCE ANALYSIS METHOD (FRAM) IN ANALYZING THE RISK OF THE BAGGAGE PROCESS by Anna KWASIBORSKA, Krzysztof KĄDZIOŁA

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Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning by Zhengkai Xue, Shijia Geng, Shaohua Guo, Guanyu Mu, Bo Yu, Peng Wang, Sutao Hu, Deyun Zhang, Weilun Xu, Yanhong Liu, Lei Yang, Huayue Tao, Shenda Hong, Kangyin Chen

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Optimization of resource allocations in 5G mobile network using Active Reward Learning by Taghi Shahgholi, Keyhan Khamforoosh, Amir Sheikhahmadi, Sadoon Azizi

“…This paper introduces a real-time dynamic resource allocation method for 5G mobile network slicing, leveraging active reward learning to enhance network performance and Quality of Experience (QoE). …”
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Reconstructing unreadable QR codes: a deep learning based super resolution strategy by Yasin Sancar

“…Furthermore, the EDSR, VDSR, ESPCN and SRCNN models trained by OpenCV’s deep learning-based WeChat QR Code Detector function to read 2,899 QR codes that were initially unreadable and simulated on the computer were able to successfully read 2,891, 2,884, 2,433 and 2,560 of them, respectively. …”
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Optimal feature‐algorithm combination research for EEG fatigue driving detection based on functional brain network by Yi Zhou, ChangQing Zeng, ZhenDong Mu

“…Second, the correlation between each EEG signal channel is calculated using Pearson correlation coefficient to construct a functional brain network. Then, five functional brain network features (clustering coefficient, node degree, eccentricity, local efficiency, and characteristic path length) are extracted and combined to obtain a total of 26 features and eight machine learning algorithms (SVM, LR, DT, RF, KNN, LDA, ADB, GBM) are used as classifiers for fatigue detection respectively. …”
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Rprot-Vec: a deep learning approach for fast protein structure similarity calculation by Yichuan Zhang, Wen Zhang

“…Accurate identification of structural homologs enables function inference for newly discovered or unannotated proteins. …”
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Enhanced Hardrock Seismic Imaging Through Multi‐Scale Information‐Guided Unsupervised Learning by Liuqing Yang, Alireza Malehmir, Magdalena Markovic

“…To improve the denoising performance, we designed a hybrid loss function containing the log‐cosh function, amplitude‐weighted constraint, and frequency‐dynamic weighted constraint. …”
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Deep Reinforcement Learning-Based Distribution Network Planning Method Considering Renewable Energy by Liang Ma, Chenyi Si, Ke Wang, Jinshan Luo, Shigong Jiang, Yi Song

“…Then, a multi-objective optimization function and a corresponding reward function including construction costs, voltage deviation, renewable energy penetration, and electricity purchase costs are designed to guide the generation of network topology schemes. …”
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The Benefi ts of Enhanced Folk Dance Sessions for Stroke Rehabilitation in Terms of Motor Learning by Laura Barbara Varga, Csenger Benda, Edit Nagy

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Geometry-Constrained Learning-Based Visual Servoing with Projective Homography-Derived Error Vector by Yueyuan Zhang, Arpan Ghosh, Yechan An, Kyeongjin Joo, SangMin Kim, Taeyong Kuc

“…Specifically, we introduce a fixed-dimension, uniform-magnitude error function based on the projective homography matrix. …”
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Learning Distinctive Feature Representation for Descriptors on Multimodal Images by Incorporating Multiple Negative Samples by Bohan Li, Yixuan Li, Yong Li, Guohan Zhang

“…This article proposes a method composed of a loss function and a feature extractor structure, to learn the distinctive feature representation (DIFR) for descriptors on multimodal images. …”
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Prediction of antipsychotic drug efficacy for schizophrenia treatment based on neural features of the resting-state functional connectome by Song Liu, Meng Wang, Weiyi Han, Anran Chen, Xuzhen Liu, Kang Liu, Xue Li, Yi Chen, Luwen Zhang, Qing Liu, Xiaoge Guo, Xiujuan Wang, Ning Kang, Yong Han, Yuanbo Li, Xi Su, Luxian Lv, Bing Liu, Wenqiang Li, Yongfeng Yang

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Intelligent PV Power Smoothing Control Using Probabilistic Fuzzy Neural Network with Asymmetric Membership Function by Faa-Jeng Lin, Su-Ying Lu, Jo-Yu Chao, Jin-Kuan Chang

“…An intelligent PV power smoothing control using probabilistic fuzzy neural network with asymmetric membership function (PFNN-AMF) is proposed in this study. First, a photovoltaic (PV) power plant with a battery energy storage system (BESS) is introduced. …”
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Integrated Thermal Management Methodology Based on Proximal Policy Optimization With Memory Function for Battery Electric Vehicles by Guanghui Cao, Yongqiang Jia, Jinrui Gao

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Similarity and wavelet transform based data partitioning and parameter learning for fuzzy neural network by Pramoda Patro, Krishna Kumar, G. Suresh Kumar, Gandharba Swain

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Adaptive Scheduling in Cognitive IoT Sensors for Optimizing Network Performance Using Reinforcement Learning by Muhammad Nawaz Khan, Sokjoon Lee, Mohsin Shah

“…To address these challenges and to establish a connected network, there is always a need for a system to evaluate the contents of detected data values and dynamically switch sensor states based on their function. Here in this article, we propose a reinforcement learning-based mechanism called “Adaptive Scheduling in Cognitive IoT Sensors for Optimizing Network Performance using Reinforcement Learning (ASC-RL)”. …”
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