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Yiming Zhu, Dehua Zhou, Yuan Li, Beibei Song and Chuansheng Wang
Recently, significant progress has been made in the field of public key encryption with keyword search (PEKS), with a focus on optimizing search methods and improving the security and efficiency of schemes. Keyword frequency analysis is a powerful tool f...
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Nikolaos Baras, Antonios Chatzisavvas, Dimitris Ziouzios, Ioannis Vanidis and Minas Dasygenis
In the ever-evolving landscape of warehousing, the integration of unmanned ground vehicles (UGVs) has profoundly revolutionized operational efficiency. Despite this advancement, a key determinant of UGV productivity remains its energy management and batt...
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Zhengshu Chen, Yanqiu Cui, Haichao Zheng, Ruihan Wei and Shuo Zhao
The atrium space represents one of the most energy-intensive areas within buildings. This is especially evident in college teaching buildings, where the inclusion of atriums often leads to increased energy consumption, primarily due to enhancements in li...
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Cheng Lin and Yunting Lin
Recently, metaheuristic algorithms have been recognized as applicable techniques for solving various computational complexities in energy problems. In this work, a powerful metaheuristic technique called the water cycle algorithm (WCA) is assessed for an...
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Ali Habeeb Askar, Endre Kovács and Betti Bolló
This study aimed to estimate the heating load (HL) and the cooling load (CL) of a residential building using neural networks and to simulate the thermal behavior of a four-layered wall with different orientations. The neural network models were developed...
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