|
|
|
|
|
Ziyad Almudayni, Ben Soh and Alice Li
The advent of the Internet of Things (IoT) has revolutionised our interaction with the environment, facilitating seamless connections among sensors, actuators, and humans. Efficient task scheduling stands as a cornerstone in maximising resource utilisati...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaoyu Liu, Wenqian Peng, Liuyin Xie and Xiang Zhang
In this paper, a novel bat algorithm based on the quantum computing concept and pyramid neural network (PNN) is presented and applied to the electromagnetic motor optimization problem. Due to the problems of high loss, high temperature rise and threateni...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ming-Feng Yang, Sheng-Long Kao and Raditia Yudistira Sujanto
This study delves into the offshore fishing industry in Taiwan, emphasizing the significance of the aquatic product market, supply chain development, and the maturity of cold chain technology. Taiwan?s geographical advantage of being surrounded by the se...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abdelhak Etchiali, Fethallah Hadjila and Amina Bekkouche
Currently, the selection of web services with an uncertain quality of service (QoS) is gaining much attention in the service-oriented computing paradigm (SOC). In fact, searching for a service composition that fulfills a complex user?s request is known t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Juan F. Guerra, Ramon Garcia-Hernandez, Miguel A. Llama and Victor Santibañez
This work presents a comprehensive comparative analysis of four prominent swarm intelligence (SI) optimization algorithms: Ant Lion Optimizer (ALO), Bat Algorithm (BA), Grey Wolf Optimizer (GWO), and Moth Flame Optimization (MFO). When compared under the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lara Shboul, Kamil Fram, Saleh Sharaeh, Mohammad Alshraideh, Nancy Shaar and Njwan Alshraideh
Diagnosing gynecological diseases is a significant difficulty for the medical sector. Numerous patients visit gynecological clinics for pregnancies as well as for other illnesses, such as polycystic ovarian syndrome, ovarian cysts, endometritis, menopaus...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yanping Shen, Kangfeng Zheng, Yanqing Yang, Shuai Liu and Meng Huang
Various machine-learning methods have been applied to anomaly intrusion detection. However, the Intrusion Detection System still faces challenges in improving Detection Rate and reducing False Positive Rate. In this paper, a Class-Level Soft-Voting Ensem...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aisha Adel, Nazlia Omar, Salwani Abdullah and Adel Al-Shabi
The process of eliminating irrelevant, redundant and noisy features while trying to maintain less information loss is known as a feature selection problem. Given the vast amount of the textual data generated and shared on the internet such as news report...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jinghui Feng, Haopeng Kuang and Lihua Zhang
Feature selection can efficiently improve classification accuracy and reduce the dimension of datasets. However, feature selection is a challenging and complex task that requires a high-performance optimization algorithm. In this paper, we propose an enh...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mehdi Nikoo, Ghazanfarah Hafeez and Paulo Cachim
The article investigates the temperature prediction in rectangular timber cross-sections exposed to fire. Timber density, exposure time, and the point coordinates within the cross-section are treated as inputs to determine the temperatures. A total of 54...
ver más
|
|
|
|
|
|