Rethinking Exploration and Experience Exploitation in Value-Based Multi-Agent Reinforcement Learning by Anatolii Borzilov, Alexey Skrynnik, Aleksandr Panov

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Digital twins as global learning health and disease models for preventive and personalized medicine by Xinxiu Li, Joseph Loscalzo, A. K. M. Firoj Mahmud, Dina Mansour Aly, Andrey Rzhetsky, Marinka Zitnik, Mikael Benson

“…However, widespread implementation faces several challenges: (1) characterizing dynamic molecular changes across multiple biological scales; (2) developing computational methods to integrate data into DTs; (3) prioritizing disease mechanisms and therapeutic targets; (4) creating interoperable DT systems that can learn from each other; (5) designing user-friendly interfaces for patients and clinicians; (6) scaling DT technology globally for equitable healthcare access; (7) addressing ethical, regulatory, and financial considerations. …”
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A Deep Learning On-Board Health Monitoring Method for Landing Gear Shock-Absorbing Systems by Chunsheng Li, Wang Chen, Wenfeng Qin

“…This paper proposed a deep learning on-board health monitoring method for landing gear shock-absorbing systems based on dynamic responses during landing. …”
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Storage resource scheduling optimization method for separated data center based on deep reinforcement learning by YUAN Zhengli, GUO Shaoyong, HU Xin, TONG Jie, HAO Jiakai

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Research on Correction Method of pin-by-pin Homogenization Environmental Effect of PWR Based on Machine Learning by LI Tianya1, 2, , LUO Qi3, , YAO Dong2, HE Caiyun1, CHAI Xiaoming2, CAI Yun2, ZHANG Bin2, ZHANG Hongbo2, LIAO Hongkuan1, DUAN Yongqiang1

“…Finally, a method for predicting pin-by-pin homogenized parameters was proposed: the correction method of pin-by-pin homogenization environmental effect of PWR based on machine learning. …”

Price Forecast of Treasury Bond Market Yield: Optimize Method Based on Deep Learning Model by Weiying Ping, Yuwen Hu, Liangqing Luo

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A Robust Multi-Modal Deep Learning-Based Fault Diagnosis Method for PV Systems by Shahabodin Afrasiabi, Sarah Allahmoradi, Mousa Afrasiabi, Xiaodong Liang, C. Y. Chung, Jamshid Aghaei

“…In this paper, a robust, multi-modal deep-learning-based fault identification method is proposed for solar photovoltaic (PV) systems, capable of detecting a wide range of faults at PV arrays, inverters, sensors, and grid connections. …”
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The effectiveness of brainstorming teaching method on students' academic engagement, academic vitality and perception learning environment by asgar nakhostin goldoost, Seyyed Mohammad Fatehi Sinesar, Somayye Taklavi

Subjects: “…brainstorming teaching method…”
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A Deep Learning Method for Pneumoconiosis Staging on Chest X-Ray Under Label Noise by Wenjian Sun, Dongsheng Wu, Jiang Shen, Yang Luo, Hao Wang, Li Min, Chunbo Luo

“…The ambiguous properties of small opacities in pneumoconiosis chest radiographs can cause diagnostic drift, which in turn leads to the presence of noisy labels in the datasets collected from hospitals that can negatively impact the generalization of deep learning models. To tackle this issue, we propose COFINE, a novel coarse-to-fine noise-tolerant deep learning method for the staging of pneumoconiosis chest radiographs, which comprises two procedures: coarse screening and fine learning. …”
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Machine learning based skin lesion segmentation method with novel borders and hair removal techniques. by Mohibur Rehman, Mushtaq Ali, Marwa Obayya, Junaid Asghar, Lal Hussain, Mohamed K Nour, Noha Negm, Anwer Mustafa Hilal

“…Next, it enhances the resultant image using state-of-the-art image enhancement method and segments lesion from it using machine learning technique namely, GrabCut method. …”
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Mitigating the effects of non-IID data in federated learning with a self-adversarial balancing method by Anastasiya Danilenka

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Utilization of ResNet Architecture and Transfer Learning Method in the Classification of Faces of Individuals with Down Syndrome by Made Doddy Adi Pranatha, Gede Herdian Setiawan, M Azman Maricar

“…This study leverages the ResNet34 architecture and transfer learning methods to improve classification accuracy for Down Syndrome facial recognition. …”
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Few-shot English text classification method based on graph convolutional network and prompt learning by Yunfei Jin

“…Therefore, this paper proposes a novel few-shot English text classification method based on graph neural network and prompt learning. …”
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Research on deep reinforcement learning in Internet of vehicles edge computing based on Quasi-Newton method by ZHANG Jianwu, LU Zetao, ZHANG Qianhua, ZHAN Ming

Subjects: “…Internet of vehicles;task offloading;deep reinforcement learning;Quasi-Newton method…”
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Subcortical Brain Segmentation Based on a Novel Discriminative Dictionary Learning Method and Sparse Coding by Xiang Li, Ying Wei, Yunlong Zhou, Bin Hong

“…The influence of different parameters was studied and the performance of the proposed method was also compared with the non-local patch-based segmentation, the sparse representation classifier based segmentation, the discriminative dictionary learning segmentation, and several deep learning methods. …”
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DEGNN: A Deep Learning-Based Method for Unmanned Aerial Vehicle Software Security Analysis by Jiang Du, Qiang Wei, Yisen Wang, Xingyu Bai

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An Early Warning Method Based on Blending of Deep Generative Model and Oversampling Model for Online Learning by Mingyan Zhang, Yiqing Wang, Jui-Long Hung, Jie Wang, Chao Duan

“…This paper proposes a method that combines the advantages of deep generative models and oversampling models to build a blending model for dealing with imbalanced educational data, which can effectively improve the precision, recall, F1-score and AUC for online learning early warning. …”
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Two-Stage Efficient Parking Space Detection Method Based on Deep Learning and Computer Vision by Junzhe Jiang, Rongnian Tang, Weian Kang, Zengcai Xu, Cheng Qian

“…Compared with the existing methods, the two-stage parking space detection system proposed in this paper not only demonstrates higher robustness, but also significantly reduces the time required for parking space inference.…”
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Novel cost-effective method for forecasting COVID-19 and hospital occupancy using deep learning by Nabil I. Ajali-Hernández, Carlos M. Travieso-González

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Effectiveness of the Al-Miftah Lil Ulum Method in Reducing Student Boredom in Learning Arabic Grammar by Eva Maulidatul Hasanah, Khoiril Akhbar, Salma Abid Azzi

Subjects: “…al-miftāḥ li al-‘ulūm method…”
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