Teaching-learning in clinical education based on epistemological orientations: A multi-method study. by Hamed Khani, Soleiman Ahmady, Babak Sabet, Ali Namaki, Shirdel Zandi, Somayeh Niakan

“…The objective of this research was to develop a conceptual model of effective clinical teaching in undergraduate medical education and conceptualize its operational framework based on the best fit approach.<h4>Materials and methods</h4>This research consisted of three sub-studies conducted using a multi-method approach. …”
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Design-LIME: An Interpretable Visualization Method for Electric Motor Design Based on Deep Learning by Kazuhisa Iwata, Hidenori Sasaki

Subjects: “…Deep learning…”
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Machine learning-based urban noise appropriateness evaluation method and driving factor analysis by Jinlin Teng, Cheng Zhang, Huimin Gong, Chunqing Liu

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Feasibility of Using Wavelet Analysis and Machine Learning Method in Technical Diagnosis of Car Seats by Cezary BARTMAŃSKI, Alicja BRAMORSKA

“…Pattern recognition and machine learning processes were used in the diagnosis. A method of feature extraction (diagnostic symptoms) using wavelet decomposition of acoustic signals was developed. …”
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An Enhanced Learning with Error-Based Cryptosystem: A Lightweight Quantum-Secure Cryptography Method by Mostefa Kara, Konstantinos Karampidis, Giorgos Papadourakis, Mohammad Hammoudeh, Muath AlShaikh

“…The robustness of the proposed lightweight public key encryption method, which is based on a new version of LWE, ensures that private keys remain secure and that original data cannot be recovered by an attacker from the ciphertext. …”
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Power Generation Prediction Method of Offshore Wind Turbines Based on Cascaded Deep Learning by Zhen’ao Sun, Zhe Chen

“…Aiming at the problems of low prediction accuracy, long time, and poor results in current wind turbine generation power prediction methods, an offshore wind turbine generation power prediction method based on cascaded deep learning is proposed. …”
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Research on Microseismic Magnitude Prediction Method Based on Improved Residual Network and Transfer Learning by Huaixiu Wang, Haomiao Wang

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Deep-reinforcement-learning-based hull form optimization method for stealth submarine design by Sang-Jae Yeo, Suk-Yoon Hong, Jee-Hun Song

“…In this study, an optimization method based on Deep Reinforcement Learning (DRL) was developed to design submarine hull forms, aimed at maximizing the stealth performance. …”
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A Deep Learning Method for Human Sleeping Pose Estimation with Millimeter Wave Radar by Zisheng Li, Ken Chen, Yaoqin Xie

“…This study propose a deep learning method for human sleep pose recognition from signals acquired from single-antenna Frequency-Modulated Continuous Wave (FMCW) radar device. …”
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FedEmerge: An Entropy-Guided Federated Learning Method for Sensor Networks and Edge Intelligence by Koffka Khan

“…<b>Introduction:</b> Federated Learning (FL) is a distributed machine learning paradigm where a global model is collaboratively trained across multiple decentralized clients without exchanging raw data. …”
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Cross-domain topic transfer learning method based on multiple balance and feature fusion by Zhenshun Xu, Zhenbiao Wang, Wenhao Zhang, Zengjin Tang

“…This research explores alternative methods for heterogeneous transfer learning in topic model beyond traditional parameter sharing, seeking to maximize the utilization of source domain knowledge and features, mitigating the interference of negative transfer. …”
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Security decision method for the edge of multi-layer satellite network based on reinforcement learning by Peiliang ZUO, Shaolong HOU, Chao GUO, Hua JIANG, Wenbo WANG

“…Conclusions:Aiming at the link selection problem of multi-layer satellite nodes for low-orbit observation satellites in the scene,this paper proposes a data compression and encryption backhaul decision method based on deep reinforcement learning. By rationally designing the state, action, reward, and training network related parameters of the method in combination with the scene, the proposed method can make intelligent and efficient edge decision-making with the goal of low transmission delay.…”
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Transfer learning based EfficientNet method for transmission line insulator flaw detection by Aleena Swetapadma, Anamika Yadav

“…It is necessary to monitor the condition of the insulator strings of the power transmission line to detect the insulator's flaws early for safe operation. The proposed method uses a transfer learning-based EfficientNet model for insulator flaw detection. …”
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Iterative Learning-Based Adaptive Hysteresis Current Control Method for the Power Electronics Converters by Ahmet Talha Dudak, Ahmet Faruk Bakan

“…This paper proposes an iterative learning-based adaptive hysteresis current control (HCC) method. …”
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A case method for Sales and Operations Planning: a learning experience from Germany by Luiz Felipe Scavarda, Bernd Hellingrath, Tobias Kreuter, Antonio Márcio Tavares Thomé, Marcelo Xavier Seeling, Jan-Hendrick Fischer, Raquel Mello

“…This paper presents a case method for S&OP and the learning experience of its application at the University of Münster (Germany). …”
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The outcome prediction method of football matches by the quantum neural network based on deep learning by Yang Sun, Hongyang Chu

“…However, traditional prediction methods are limited by data complexity and model capabilities, struggling to meet the demands for high accuracy. …”
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Regularized extreme learning machine based on variable step alternating direction method of multipliers by LU Huihuang, ZOU Weidong, LI Yuxiang

Subjects: “…machine learning…”
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An Evaluation Method of Dental Treatment Quality Combined with Deep Learning and Multi-index Decomposition by Gang Peng, Jie Liu, Feng Yan, Beicun Liu

“…The experimental results show that the intelligent evaluation method of dental treatment quality combined with deep learning and multi-index decomposition proposed in this paper not only unifies the evaluation criteria of dental treatment quality but also the therapeutic effect of quantitative scoring can effectively improve the work efficiency of doctors, which has reference significance for the application of artificial intelligence in the medical field.…”
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A Combined Method for Localizing Two Overlapping Acoustic Sources Based on Deep Learning by Alexander Lyapin, Ghiath Shahoud, Evgeny Agafonov

“…The proposed methodology is based on the integration of the sound source separation method with a single-source sound localization model. …”
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A Reinforcement Learning-Based Task Mapping Method to Improve the Reliability of Clustered Manycores by Fatemeh Hossein-Khani, Omid Akbari

“…In this paper, we propose a reinforcement learning (RL)-based task mapping method to improve the reliability of manycore systems considering the aforementioned aging mechanisms, which consists of three steps including bin packing, task-to-bin mapping, and task-to-core mapping. …”
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