Wei Shi^1,2, Shusheng Xiong^1,2,3,*, Wei Li^2,3, Kai Meng⁴, Qingsheng Liu⁴

Energy Engineering, Vol.122, No.9, pp. 3507-3523, 2025, DOI:10.32604/ee.2025.065579 - 26 August 2025

Abstract In the realm of all-electric aircraft research, the integration of cathode-open proton exchange membrane fuel cells (PEMFC) with lithium batteries as a hybrid power source for small to medium-sized unmanned aerial vehicles (UAVs) has garnered significant attention. The PEMFC, serving as the primary energy supply, markedly extends the UAV’s operational endurance. However, due to payload limitations and spatial constraints in the airframe layout of UAVs, the stack requires customized adaptation. Moreover, the implementation of auxiliary systems to facilitate cold starts of the PEMFC under low-temperature conditions is not feasible. Relying solely on thermal insulation measures… More >

Minghu Tang^1,2,3,*, Wei Yu⁴, Xiaoming Li⁴, Xue Chen⁵, Wenjun Wang³, Zhen Liu⁶

Computer Systems Science and Engineering, Vol.43, No.3, pp. 1069-1084, 2022, DOI:10.32604/csse.2022.028841 - 09 May 2022

Abstract Link prediction has attracted wide attention among interdisciplinary researchers as an important issue in complex network. It aims to predict the missing links in current networks and new links that will appear in future networks. Despite the presence of missing links in the target network of link prediction studies, the network it processes remains macroscopically as a large connected graph. However, the complexity of the real world makes the complex networks abstracted from real systems often contain many isolated nodes. This phenomenon leads to existing link prediction methods not to efficiently implement the prediction of… More >

Adel Binbusayyis^*

Intelligent Automation & Soft Computing, Vol.33, No.1, pp. 501-513, 2022, DOI:10.32604/iasc.2022.022239 - 05 January 2022

Abstract The increasing user of Internet has witnessed a continued exploration in applications and services that can bring more convenience in people's life than ever before. At the same time, with the exploration of online services, the people face unprecedented difficulty in selecting the most relevant service on the fly. In this context, the need for recommendation system is of paramount importance especially in helping the users to improve their experience with best value-added service. But, most of the traditional techniques including collaborative filtering (CF) which is one of the most successful recommendation technique suffer from… More >

Thavavel Vaiyapuri^*

CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 487-503, 2021, DOI:10.32604/cmc.2021.015998 - 22 March 2021

Abstract The era of the Internet of things (IoT) has marked a continued exploration of applications and services that can make people’s lives more convenient than ever before. However, the exploration of IoT services also means that people face unprecedented difficulties in spontaneously selecting the most appropriate services. Thus, there is a paramount need for a recommendation system that can help improve the experience of the users of IoT services to ensure the best quality of service. Most of the existing techniques—including collaborative filtering (CF), which is most widely adopted when building recommendation systems—suffer from rating… More >