Home »
Academic Articles & Research Papers
Showing 20 of 60 academic articles
Vishwa S. Parekh, Michael A. Jacobs • Expert Review of Precision Medicine and Drug Development
(2019)
INTRODUCTION: The radiological reading room is undergoing a paradigm shift to a symbiosis of computer science and radiology using artificial intelligence integrated with machine and deep learning with radiomics to better define tissue chara...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1080/23808993.2019.1585805
PMC: 6508888
LIU Zhaoyang, PAN Bitao • Guangtongxin yanjiu
(2024)
【Objective】Recent research efforts on Routing and Wavelength Assignment (RWA) for all optical networks are focused on Deep Reinforcement Learning (DRL) based algorithms. The DRL based RWA algorithms are mostly rely on the K Shortest Paths (...
DOAJ
Open Access (DOAJ)
Shin Morishima, Hiroki Matsutani • IEEE Access
(2024)
A computing cluster that interconnects multiple compute nodes is used to accelerate distributed reinforcement learning that uses DQN (Deep Q-Network). In distributed reinforcement learning, actor nodes acquire experiences by interacting wit...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3402835
Basudev Saha, Bidyut Das, Mukta Majumder • Nanotechnology and Precision Engineering
(2023)
Over the past two decades, digital microfluidic biochips have been in much demand for safety-critical and biomedical applications and increasingly important in point-of-care analysis, drug discovery, and immunoassays, among other areas. How...
DOAJ
Open Access (DOAJ)
DOI: 10.1063/10.0017350
Yundie Guan, Xiangyu Zhang, Zheming Liang, Tao Chen • IET Renewable Power Generation
(2025)
Abstract The intermittency and volatility of renewable energy have been major challenges in modern power systems. This paper proposes a self‐adaptive energy management strategy based on deep reinforcement learning (DRL) to integrate renewab...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/rpg2.13192
L. Raghavendar Raju, M. Venkata Krishna Reddy, Sridhar Reddy Surukanti, Gudlanarva Sudhakar et al. • Scientific Reports
(2026)
Abstract Edge–cloud computing has emerged as an important paradigm for modern Internet of Things (IoT) workflow applications, enabling low latency and on-demand resource allocation. In scenarios with heterogeneous deadlines and varying work...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-41330-8
Mufti Mahmud, M. Shamim Kaiser, Amir Hussain, Stefano Vassanelli • IEEE Transactions on Neural Networks and Learning Systems
(2018)
Rapid advances in hardware-based technologies during the past decades have opened up new possibilities for life scientists to gather multimodal data in various application domains, such as omics, bioimaging, medical imaging, and (brain/body...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tnnls.2018.2790388
Ziwei Zhang, Peng Cui, Wenwu Zhu • IEEE Transactions on Knowledge and Data Engineering
(2020)
Deep learning has been shown to be successful in a number of domains, ranging from acoustics, images, to natural language processing. However, applying deep learning to the ubiquitous graph data is non-trivial because of the unique characte...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tkde.2020.2981333
C. E. Ngene, Prabhat Thakur, Ghanshyam Singh • Engineering Reports
(2025)
ABSTRACT This paper proposes a controlled signal technique for visible light non‐orthogonal multiple access (VL‐NOMA) communication in an interference‐controlled environment with intelligent reflecting surfaces (IRS) for beyond 5G (B5G) and...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/eng2.13087
Lin Bing, Tan Xiao, He Kai, Wu Huaming • Tongxin xuebao
(2026)
Satellite edge computing faces a trade-off between privacy protection and system overhead, strict task-dependency constraints, and the limited ability of conventional algorithms to capture complex dependency topologies in digital twin task ...
DOAJ
Open Access (DOAJ)
Meirong ZHANG, Mengting HAO, Chuang WANG, Gengxin ZHANG • 天地一体化信息网络
(2021)
With the vigorous development of space communication technology and the continuous advancement of space-integrated-ground information network, satellite communication networks resource management and control is becoming more and more comple...
DOAJ
Open Access (DOAJ)
Saleh Albahli • Future Internet
(2019)
Since the introduction of just-in-time effort aware defect prediction, many researchers are focusing on evaluating the different learning methods, which can predict the defect inducing changes in a software product. In order to predict thes...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/fi11120246
Jiantao Qiu, Chao Yu, Weiling Liu, Tianxiang Yang et al. • IEEE Access
(2021)
In recent years, reinforcement learning (RL) has been widely used to solve multi-agent navigation tasks, and a high-fidelity level for the simulator is critical to narrow the gap between simulation and real-world tasks. However, high-fideli...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3085328
Ajay Shrestha, Ausif Mahmood • IEEE Access
(2019)
Deep learning (DL) is playing an increasingly important role in our lives. It has already made a huge impact in areas, such as cancer diagnosis, precision medicine, self-driving cars, predictive forecasting, and speech recognition. The pain...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/access.2019.2912200
Yutaka Matsuo, Yann LeCun, Maneesh Sahani, Doina Precup et al. • Neural Networks
(2022)
Deep learning (DL) and reinforcement learning (RL) methods seem to be a part of indispensable factors to achieve human-level or super-human AI systems. On the other hand, both DL and RL have strong connections with our brain functions and w...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1016/j.neunet.2022.03.037
Haibo MEI, Kun YANG, Xinyu FAN • 物联网学报
(2021)
Fog radio access network (F-RAN) is suitable for Internet of things applications of national important industries, such as pipeline network monitoring in wide area.However, the performance of the F-RAN based on the territorial fog access po...
DOAJ
Open Access (DOAJ)
Yuchen Luan, Fukun Sun, Jiaen Zhou • Sensors
(2024)
Satellite fog computing (SFC) achieves computation, caching, and other functionalities through collaboration among fog nodes. Satellites can provide real-time and reliable satellite-to-ground fusion services by pre-caching content that user...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s24113370
Haotian Wu, Yan Guo, Juliang Cao, Zhiming Xiong et al. • Aerospace
(2025)
In response to the issues of severe pitch oscillation and unstable roll attitude present in existing reinforcement learning-based aircraft cruise control methods during dynamic maneuvers, this paper proposes a precise control method for air...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/aerospace12080670
Iason Batzianoulis, Fumiaki Iwane, Shupeng Wei, Carolina Gaspar Pinto Ramos Correia et al. • Communications Biology
(2021)
Teaching an assistive robotic manipulator to move objects in a cluttered table requires demonstrations from expert operators, but what if the experts are individuals with motor disabilities? Batzianoulis et al. propose a learning approach w...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s42003-021-02891-8
Nishant Shukla • CERN Document Server (European Organization for Nuclear Research)
(2018)
Summary Machine Learning with Tensor Flow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding Tensor Flow with Python. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub forma...
OPENALEX