A Methodical Framework Utilizing Transforms and Biomimetic Intelligence-Based Optimization with Machine Learning for Speech Emotion Recognition by Sunil Kumar Prabhakar, Dong-Ok Won

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A feature extraction method for hydrofoil attached cavitation based on deep learning image semantic segmentation algorithm by Yingyuan Liu, Yizhi Wang, Kang An

“…To conveniently extract cavitation features from the massive images, a feature extraction method for hydrofoil cavitation was proposed in this work based on deep learning image semantic segmentation techniques. …”
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Multimodal data deep learning method for predicting symptomatic pneumonitis caused by lung cancer radiotherapy combined with immunotherapy by Mingyu Yang, Jianli Ma, Chengcheng Zhang, Liming Zhang, Jianyu Xu, Shilong Liu, Jian Li, Jiabin Han, Songliu Hu

“…Depth image features extracted from deep learning, combined with radiomics and clinical characteristics, were used to create a deep learning model. …”
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DualPFL: A Dual Sparse Pruning Method with Efficient Federated Learning for Edge-Based Object Detection by Shijin Song, Sen Du, Yuefeng Song, Yongxin Zhu

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Evaluation of Knowledge and Perception of Dental Graduates Regarding Problem-based Learning Method: A Cross-sectional Study by Bhawna Shyamsukha, Amit Reche, Anshu Agrawal, Archana Sonone, Priyanka Paul, Kumar Gaurav Chhabra

“…Introduction: Problem-based learning (PBL) is an approach to education in medical training that has benefits, such as enhanced information utilization, assimilation of basic and clinical scientific fields. …”
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Energy Consumption Prediction in Iran: A Hybrid Machine Learning and Genetic Algorithm Method with Sustainable Development Considerations by Seyyed Mohammad Mehdi Fatemi Bushehri, Saeed Dehghan Khavari, Seyed Hossein Mirjalili, Hamid Babaei Meybodi, Mohsen Sardari Zarchi

“…The highlight of this research is that it provided the most efficient features from the dataset using the genetic algorithm and five forecasting approaches based on machine learning methods. The algorithm was able to select 14 features as the most effective indicators in predicting energy consumption from all the 104 ones in the IREC with 500 repetitions. …”
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Geographically Constrained Machine Learning-Based Kernel-Driven Method for Downscaling of All-Weather Land Surface Temperature by Haiping Xia

“…This study proposed the geographically constrained machine learning-based kernel-driven method (Geo-MLKM), which is incorporated with the light gradient-boosting machine (LightGBM) model to explore its feasibility in the downscaling of all-weather LST (DALST). …”
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Optimization Method of Underwater Flapping Foil Propulsion Performance Based on Gaussian Process Regression and Deep Reinforcement Learning by YANG Yinghe, WEI Handi, FAN Dixia, LI Ang

“…The experimental results demonstrate that the GPR-TD3 method is capable of learning the globally optimal solution for flapping propulsion in the experimental environment, including maximum speed and maximum efficiency. …”
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An Autonomous Vehicle Behavior Decision Method Based on Deep Reinforcement Learning with Hybrid State Space and Driving Risk by Xu Wang, Bo Qian, Junchao Zhuo, Weiqun Liu

“…This paper proposes a deep reinforcement learning (DRL) method based on mixed-state space and driving risk for autonomous vehicle behavior decision-making, which enables autonomous vehicles to make behavioral decisions with minimal instantaneous risk through deep reinforcement learning training. …”
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Enhancing navigation performance in unknown environments using spiking neural networks and reinforcement learning with asymptotic gradient method by Xiaode Liu, Yufei Guo, Yuanpei Chen, Jie Zhou, Yuhan Zhang, Weihang Peng, Xuhui Huang, Zhe Ma

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Research on a Joint Extraction Method of Track Circuit Entities and Relations Integrating Global Pointer and Tensor Learning by Yanrui Chen, Guangwu Chen, Peng Li

“…Next, the Tucker decomposition method is utilized to capture the semantic correlations between relations, and an Efficient Global Pointer is employed to globally predict the start and end positions of subject and object entities, incorporating relative position information through rotary position embedding (RoPE). …”
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Simulation and Spatio-Temporal Analysis of Soil Erosion in the Source Region of the Yellow River Using Machine Learning Method by Jinxi Su, Rong Tang, Huilong Lin

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RUP-GAN: A Black-Box Attack Method for Social Intelligence Recommendation Systems Based on Adversarial Learning by Siyang Yu, Mingxing Duan, Kezhi Wang, Shenghong Yang

“…In this paper, we propose a black-box attack method, Real User Preference Generative Adversarial Networks (RUP-GAN), based on adversarial learning. …”
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THE MODERN SOCRATIC METHOD: A STRATEGY TO ENHANCE INDONESIAN POLYTECHNIC STUDENTS’ ACTIVE LEARNING IN ENGLISH SPEAKING COURSE by Yohannes Telaumbanua, Yalmiadi Yalmiadi, Kotrini Kotrini

Subjects: “…Active Learning; English Speaking Course; Polytechnic Students; Modern Socratic Method…”
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Flood risk modelling by the synergistic approach of machine learning and best-worst method in Indus Kohistan, Western Himalaya by Ashfaq Ahmad, Jiangang Chen, Xiaoqing Chen, Nitesh Khadka, Muhib Ullah Khan, Chenyuan Wang, Muhammad Tayyab

“…In this study, we propose a novel synergistic approach for flood risk mapping in Indus Kohistan, Pakistan, by integrating machine learning (ML) models and the best-worst method (BWM). …”
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Triangular Offnorm with Multi-Criteria Decision-Making Method for College Political and Ideological Instruction on Intelligent Learning Platforms by Haiying Wang

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Source Analysis of Ozone Pollution in Liaoyuan City’s Atmosphere Based on Machine Learning Models and HYSPLIT Clustering Method by Xinyu Zou, Xinlong Li, Dali Wang, Ju Wang

“…Finally, the HYSPLIT clustering method and CMAQ model are utilized to analyze inter-regional transport characteristics, identifying the causes of O₃ pollution. …”
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Big-Data-Assisted Urban Governance: A Machine-Learning-Based Data Record Standard Scoring Method by Zicheng Zhang, Tianshu Zhang

“…To address these shortcomings, this study develops a comprehensive scoring method tailored for evaluating multi-dimensional data record standards in government hotline data. …”
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Fuzzy Neural Network Q-Learning Method for Model Disturbance Change: A Deployable Antenna Panel Application by Zhiyong Liu, Hong Bao, Song Xue, Jingli Du

“…In the proposed method, the error of the model disturbance is reduced by introducing the fuzzy radial basis function (RBF) neural network into Q-learning, and the parameters of the fuzzy RBF neural network were optimized and adjusted by a Q-learning method. …”
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Development of an imitation learning method for a neural network system of mobile robot’s movement on example of the maze solving by T. Yu. Kim, R. A. Prakapovich

“…Objectives. To develop a new method for training a mobile robot control system to use a maze solver algorithm based on reinforcement learning and the right-hand algorithm.Methods. …”
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