Md. Fatin Ishraque¹, Akhlaqur Rahman², Kamil Ahmad¹, Sk. A. Shezan^3,*, Md. Meheraf Hossain¹, Sheikh Rashel Al Ahmed¹, Md. Iasir Arafat¹, Noor E Nahid Bintu⁴

Energy Engineering, Vol.122, No.8, pp. 3347-3375, 2025, DOI:10.32604/ee.2025.067492 - 24 July 2025

Abstract In this research work, the localized generation from renewable resources and the distribution of energy to agricultural loads, which is a local microgrid concept, have been considered, and its feasibility has been assessed. Two dispatch algorithms, named Cycle Charging and Load Following, are implemented to find the optimal solution (i.e., net cost, operation cost, carbon emission. energy cost, component sizing, etc.) of the hybrid system. The microgrid is also modeled in the DIgSILENT Power Factory platform, and the respective power system responses are then evaluated. The development of dispatch algorithms specifically tailored for agricultural applications… More >

Usman Khan¹, Muhammad Khalid Khan¹, Muhammad Ayub Latif¹, Muhammad Naveed^1,2,*, Muhammad Mansoor Alam^2,3,4, Salman A. Khan¹, Mazliham Mohd Su’ud^2,*

CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 2967-3000, 2024, DOI:10.32604/cmc.2024.045101 - 26 March 2024

Abstract Recently, there has been a notable surge of interest in scientific research regarding spectral images. The potential of these images to revolutionize the digital photography industry, like aerial photography through Unmanned Aerial Vehicles (UAVs), has captured considerable attention. One encouraging aspect is their combination with machine learning and deep learning algorithms, which have demonstrated remarkable outcomes in image classification. As a result of this powerful amalgamation, the adoption of spectral images has experienced exponential growth across various domains, with agriculture being one of the prominent beneficiaries. This paper presents an extensive survey encompassing multispectral and… More >

Xiaoting Liang¹, Fang Liu^1,*, Linqi Wang¹, Baoying Zheng¹, Yiyuan Sun²

CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 469-488, 2023, DOI:10.32604/cmc.2023.029641 - 22 September 2022

Abstract Driven by the visions of the Internet of Things (IoT), Artificial Intelligence (AI), and 5G communications, the Internet of Cultural Things (IoCT) realize the comprehensive interconnection among cultural products, cultural services, cultural resources, and cultural platforms, bringing individuals with richer humanistic experience, increasing economic benefits for the cultural sector, and promoting the development of cultural heritage protection and education. At present, IoCT has received widespread attention in both industry and academia. To explore new research opportunities and assist users in constructing suitable IoCT systems for specific applications, this survey provides a comprehensive overview of the More >