41   Artículos

 
en línea
Ziyi Wang, Xinran Li, Luoyang Sun, Haifeng Zhang, Hualin Liu and Jun Wang    
Efficient yet sufficient exploration remains a critical challenge in reinforcement learning (RL), especially for Markov Decision Processes (MDPs) with vast action spaces. Previous approaches have commonly involved projecting the original action space int... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Yi Wang, Yating Xu, Tianjian Li, Tao Zhang and Jian Zou    
Image deblurring based on sparse regularization has garnered significant attention, but there are still certain limitations that need to be addressed. For instance, convex sparse regularization tends to exhibit biased estimation, which can adversely impa... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Wei Li, Junfang Ma, Tao Zhu, Haiqiao Wei and Jiaying Pan    
To evaluate the significance of the geometrical parameters of a passive pre-chamber on engine performance, this study investigated the design of a plug-and-play passive pre-chamber in a 15 L heavy-duty natural gas engine. Multi-dimensional numerical inve... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Zhibo Zhang, Bowen Zhou, Guangdi Li, Peng Gu, Jing Huang and Boyu Liu    
Island microgrids play a crucial role in developing and utilizing offshore renewable energy sources. However, high operation costs and limited operational flexibility are significant challenges. To address these problems, this paper proposes a novel dual... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Kiseong Hong, Gyeong-hyeon Kim and Eunwoo Kim    
Despite the continuous development of convolutional neural networks, it remains a challenge to achieve performance improvement with fewer parameters and floating point operations (FLOPs) as a light-weight model. In particular, excessive expressive power ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Songyuan Li, Hao Zeng, Huanyu Wang and Xi Li    
Salient Object Detection (SOD) aims at identifying the most visually distinctive objects in a scene. However, learning a mapping directly from a raw image to its corresponding saliency map is still challenging. First, the binary annotations of SOD impede... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Abdul Ghani Olabi, Rania M. Ghoniem, Abdul Hai Alami and Mohammad Ali Abdelkareem    
DC power may be more efficient than AC power in certain applications, especially when it comes to local generation and storage. This is because AC power requires extra equipment to convert it to DC power, which can lead to energy losses. Using DC power, ... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Swarnendu Ghosh, Teresa Gonçalves and Nibaran Das    
Conceptual representations of images involving descriptions of entities and their relations are often represented using scene graphs. Such scene graphs can express relational concepts by using sets of triplets ⟨subject—predicate&... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Alessandro Torrisi, Kasim Sinan Yildirim and Davide Brunelli    
Self-sustainable energy harvesting for Internet of Things devices is challenging since ambient energy may be sporadic and unpredictable. This situation leads to frequent power failures that lead to intermittent operations, which prevent the reliability o... ver más
Revista: Journal of Low Power Electronics and Applications    Formato: Electrónico

 
en línea
Jie Chen, Hailin Liu, Bin Lv, Chao Liu, Xiaonan Zhang, Hui Li, Lin Cao and Junhe Wan    
An extensible remote monitoring system for a seafloor observatory network in Laizhou Bay was established to realize long-term, continuous and on-line monitoring for a marine ranching environment. This paper deals with data communication, device managemen... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

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