14 papers · ranked by Valyu relevance
Nazmul Shahadat, Anthony S. Maida, Gaochang Wu, Zizhu Fan + 1 more
Advances in visual recognition have relied on increasingly deep and wide convolutional neural networks (CNNs), which often introduce substantial computational and memory costs. This review summarizes recent progress in parameter-efficient CNN design across three directions: hypercomplex representations with…
Joseph G. Woods, Yang Ji, Hongwei Li, Aaron T. Hess + 1 more
3.1### PCASL parameter optimization Of the 52500 simulated parameter combinations, 23040 (43.9%) were not simulated because they exceeded gradient slew rate limits. A further 26839 (51.1%) parameter combinations were excluded because they had a static tissue perturbation of more than 0.1% of beyond 1.8 cm from the…
François Xavier Machu, Ru Julie Wang, Jean Louis Cheng, Jeremy Cocks + 3 more
'Qiuping Alexandre Wang' 'Stanisław Drożdż' 'Matteo Convertino'] Preferential attachment (PA) is a widely observed behavior in many living systems and has been used in modeling many networks. The aim of this work is to show that the mechanism of PA is a consequence of the fundamental principle of least effort. We…
Shengsen Yang, Zihan Xu, Kun Ren, Piero Malcovati
This paper proposes an improved parameter extraction optimization algorithm for radio frequency (RF) devices. The algorithm integrates parameter classification and correction, gradient-based performance handling, bias-aware updates, and group-based optimization strategies, achieving enhanced optimization accuracy…
Bartosz Kopras, Filip Idzikowski, Bartosz Bossy, Paweł Kryszkiewicz + 2 more
'Hanna Bogucka' 'Miguel Ángel Conde'] The well known cloud computing is being extended by the idea of fog with the computing nodes placed closer to end users to allow for task processing with tighter latency requirements. However, offloading of tasks (from end devices to either the cloud or to the fog nodes) should be…
Yong-Gang Chen, Yan Cao, Kai Lu, Quanxin Yang + 3 more
Existing algorithms for photovoltaic (PV) parameter extraction struggle to balance accuracy and computational efficiency when handling complex models. To address this gap, a differential evolution with classified mutation (DECM) is proposed, which integrates adaptive mutation strategies and a hierarchical…
Xueying Qiu, Pan Sun, Enguo Rong, Kangheng Qiao + 2 more
'Xusheng Wu'] In some wireless charging applications where the coil spacing varies in real time, such as UAV, electric boat and tram, etc., the traditional direct impedance matching method is difficult to identify the mutual inductance timely and accurately, thus affecting the efficiency optimization effect of the…
Qing Guan, Shuilong Zou, Hong Liu, Qing Chen
This paper proposes a performance evaluation method of public administration departments based on the improved DEA algorithm, which solves the quality problem of performance evaluation of public administration departments and lays a foundation for the long-term development and performance improvement of public…
Abdelmonem Draz, Hossam Ashraf, Ahmed R. El Shamy, Attia A. El-Fergany
'Attia A. El-Fergany'] Accurate modelling of distribution transformers (TXs) is crucial to identify their operating characteristics across several power system applications. Consequently, this paper employs an improved version of the artificial ecosystem optimizer (called IAEO) in parameters estimation of distribution…
Huiyue Xu, Juping Shao, Yanan Sun, Joy Nondy
In the context of e-commerce, the order batching optimization problem in e-commerce warehousing centers has been addressed by establishing a model aimed at minimizing the order picking time, order delay costs, and picking costs, as well as achieving workload balance. An improved NSGA-II algorithm has been designed…
Ruoxue Xiang, Xiang Liu, Min Tian, Chenglong Ban + 3 more
Task allocation for agricultural machinery constitutes a critical challenge in multi-machine coordination within unmanned smart farms. Enhancing the efficiency of task allocation remains an urgent research problem. Current machinery often suffers from inefficient allocation strategies and unprocessed field areas, which…
Yi Liu, Zhaoshun Xia, Hongying Deng, Shuihua Zheng + 1 more
'Miguel Delgado-Prieto'] Accurately predict the efficiency of centrifugal pumps at different rotational speeds is important but still intractable in practice. To enhance the prediction performance, this work proposes a hybrid modeling method by combining both the process data and knowledge of centrifugal pumps. First…
Leila Parhizkar Miyandehi, Alireza Amirteimoori, Sohrab Kordrostami, Mansour Soufi + 1 more
'Mansour Soufi' 'Majid Soleimani-damaneh'] When the costs of the inputs and outputs of the units under evaluation are known, the evaluation of the profit efficiency of the units is one of the most significant evaluations that can provide valuable information about them. In this research, first, a new definition of the…
Nasim Arabjazi, Mohsen Rostamy-Malkhalifeh, Farhad Hosseinzadeh Lotfi, Mohammad Hasan Behzadi + 1 more
'Mohammad Hasan Behzadi' 'Ardashir Mohammadzadeh'] An effective method for evaluating the efficiency of peer decision-making units (DMUs) is data envelope analysis (DEA). In engineering sciences and real-world management problems, uncertainty in input and output data always exists. To achieve reliable results…