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Yue Zhang, Yang Li, Xiang Han, Ang Gao, Shuaijie Jing and Yuepeng Song
Achieving fast and accurate prediction of the fruit mechanical damage area is important to improve the accuracy and efficiency of apple quality grading. In this paper, the spectral data of all samples in the wavelength range from 376 to 1011 nm were coll...
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Ahmad Taha, Basel Barakat, Mohammad M. A. Taha, Mahmoud A. Shawky, Chun Sing Lai, Sajjad Hussain, Muhammad Zainul Abideen and Qammer H. Abbasi
Accurately looking into the future was a significantly major challenge prior to the era of big data, but with rapid advancements in the Internet of Things (IoT), Artificial Intelligence (AI), and the data availability around us, this has become relativel...
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Man Zhu, Wuqiang Sun, Yuanqiao Wen and Liang Huang
Identification of parameters involved in the linear response model with high precision is a highly cost-effective, as well as a challenging task, in developing a suitable model for the verification and validation (V+V) of some key techniques for autonomo...
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Bilal Aslam, Ahsen Maqsoom, Nauman Khalid, Fahim Ullah and Samad Sepasgozar
Global climate has been radically affected by the urbanization process in recent years. Karachi, Pakistan?s economic hub, is also showing signs of swift urbanization. Owing to the construction of infrastructure projects under the China-Pakistan Economic ...
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Edina Chandiwana, Caston Sigauke and Alphonce Bere
Probabilistic solar power forecasting has been critical in Southern Africa because of major shortages of power due to climatic changes and other factors over the past decade. This paper discusses Gaussian process regression (GPR) coupled with core vector...
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Jianzhuo Yan, Ya Gao, Yongchuan Yu, Hongxia Xu and Zongbao Xu
Recently, the quality of fresh water resources is threatened by numerous pollutants. Prediction of water quality is an important tool for controlling and reducing water pollution. By employing superior big data processing ability of deep learning it is p...
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Rana Muhammad Adnan, Zhongmin Liang, Xiaohui Yuan, Ozgur Kisi, Muhammad Akhlaq and Binquan Li
Accurate predictions of wind speed and wind energy are essential in renewable energy planning and management. This study was carried out to test the accuracy of two different neuro fuzzy techniques (neuro fuzzy system with grid partition (NF-GP) and neur...
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Guillaume Debaene, Dorota Pikula, Jacek Niedzwiecki
Pág. 21 - 32
The objective of this research was to investigate the effects of a long-term experiment on soil spectral properties and to develop prediction models of these properties (soil organic carbon (SOC), N, pH, Hh, P2O5, K2O, Ca, Mg, K, and Na content) from tex...
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