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Academic Articles & Research Papers
Showing 18 of 18 academic articles
Patrick Selig, Niall Murphy, David Redmond, Simon Caton • IEEE Access
(2025)
Quantum computers may solve some computing tasks more efficiently than classical com- puters, but to do so requires the design of appropriate quantum circuits. However, it is hard to design even simple quantum programs. Recent results have ...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3564392
Siavash Siavashian Rashidi, Ali Broumandnia, Abbas Mirzaei, Ramin Karimi • Scientific Reports
(2026)
Abstract The transition toward 6G-enabled Industrial Internet of Things (IIoT) requires strict Ultra-Reliable Low-Latency Communication (URLLC), creating a fundamental trade-off with energy consumption. Orchestrating resources in dense, hyp...
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Open Access (DOAJ)
DOI: 10.1038/s41598-026-55177-6
Rui Zhao, Haofeng Hu, Yun Li, Yuze Fan et al. • Sensors
(2024)
Urban traffic congestion poses significant economic and environmental challenges worldwide. To mitigate these issues, Adaptive Traffic Signal Control (ATSC) has emerged as a promising solution. Recent advancements in deep reinforcement lear...
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Open Access (DOAJ)
DOI: 10.3390/s24196202
Michał Wawer, Jarosław A. Chudziak, Ewa Niewiadomska-Szynkiewicz • Applied Sciences
(2024)
Traditional technical analysis methods face limitations in accurately predicting trends in today’s complex financial markets. Meanwhile, existing AI-driven approaches, while powerful in processing large datasets, often lack interpretability...
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Open Access (DOAJ)
DOI: 10.3390/app142411897
Leon Herrmann, Stefan Kollmannsberger • Computational Mechanics
(2024)
Abstract The rapid growth of deep learning research, including within the field of computational mechanics, has resulted in an extensive and diverse body of literature. To help researchers identify key concepts and promising methodologies w...
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DOI: https://doi.org/10.1007/s00466-023-02434-4
Kirill Djebko, Patrick Schurk, Tom Baumann, Frank Puppe et al. • Aerospace
(2025)
Artificial Intelligence (AI) is rapidly transforming engineering fields, from robotics to aerospace, with applications in control systems for UAVs and satellites. This work builds on a previously developed AI attitude controller for the Inn...
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Open Access (DOAJ)
DOI: 10.3390/aerospace12121039
Hun Kim, Jaewoo So • Sensors
(2025)
In a multi-cell network, interference management between adjacent cells is a key factor that determines the performance of the entire cellular network. In particular, in order to control inter-cell interference while providing a high data r...
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Open Access (DOAJ)
DOI: 10.3390/s25134017
Md Zahangir Alom, Tarek M. Taha, Chris Yakopcic, Stefan K.E. Westberg et al. • Electronics
(2019)
In recent years, deep learning has garnered tremendous success in a variety of application domains. This new field of machine learning has been growing rapidly and has been applied to most traditional application domains, as well as some ne...
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DOI: https://doi.org/10.3390/electronics8030292
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 (...
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Open Access (DOAJ)
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...
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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...
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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...
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Open Access (DOAJ)
DOI: 10.1038/s41598-026-41330-8
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...
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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 ...
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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...
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Open Access (DOAJ)
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...
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Open Access (DOAJ)
Yong Wang, Hongwen He, Yuankai Wu, Pei Wang et al. • Engineering
(2025)
An effective energy management strategy (EMS) is essential to optimize the energy efficiency of electric vehicles (EVs). With the advent of advanced machine learning techniques, the focus on developing sophisticated EMS for EVs is increasin...
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Open Access (DOAJ)
DOI: 10.1016/j.eng.2024.10.021
Yu Wang • Discover Artificial Intelligence
(2026)
Abstract Adaptive digital therapies are needed with increasing rates of youth anxiety. However, existing systems lack personalization and dynamic learning. To solve this, the proposed research is to build a personalized ideological content ...
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Open Access (DOAJ)
DOI: 10.1007/s44163-026-01840-w