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Barbara Dobosz, Dariusz Gozdowski, Jerzy Koronczok, Jan ?ukovskis and Elzbieta Wójcik-Gront
The accurate evaluation of crop damage by wild animals is crucial for farmers when seeking compensation from insurance companies or other institutions. One of the game species that frequently cause crop damage in Europe is the wild boar, which often feed...
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Haochen Qin, Xuexin Fan, Yaxiang Fan, Ruitian Wang, Qianyi Shang and Dong Zhang
Predicting the remaining useful life (RUL) of batteries can help users optimize battery management strategies for better usage planning. However, the RUL prediction accuracy of lithium-ion batteries will face challenges due to fewer data samples availabl...
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Darwin Gómez Fernández, Rolando Salas López, Nilton B. Rojas Briceño, Jhonsy O. Silva López and Manuel Oliva
Amazonas is a mountain region in Peru with high cloud cover, so using optical data in the analysis of surface changes of water bodies (such as the Burlan and Pomacochas lakes in Peru) is difficult, on the other hand, SAR images are suitable for the extra...
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Guangwei Chen, Waiching Tang, Shuo Chen, Shanyong Wang and Hongzhi Cui
Engineered cementitious composite (ECC) is a unique material, which can significantly contribute to self-healing based on ongoing hydration. However, it is difficult to model and predict the self-healing performance of ECC. Although different machine lea...
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Muhammad Fawad Akbar Khan, Khan Muhammad, Shahid Bashir, Shahab Ud Din and Muhammad Hanif
Low-resolution Geological Survey of Pakistan (GSP) maps surrounding the region of interest show oolitic and fossiliferous limestone occurrences correspondingly in Samanasuk, Lockhart, and Margalla hill formations in the Hazara division, Pakistan. Machine...
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Yingli LV, Qui-Thao Le, Hoang-Bac Bui, Xuan-Nam Bui, Hoang Nguyen, Trung Nguyen-Thoi, Jie Dou and Xuan Song
In this study, the ilmenite content in beach placer sand was estimated using seven soft computing techniques, namely random forest (RF), artificial neural network (ANN), k-nearest neighbors (kNN), cubist, support vector machine (SVM), stochastic gradient...
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Niraj Thapa, Zhipeng Liu, Dukka B. KC, Balakrishna Gokaraju and Kaushik Roy
The development of robust anomaly-based network detection systems, which are preferred over static signal-based network intrusion, is vital for cybersecurity. The development of a flexible and dynamic security system is required to tackle the new attacks...
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Divya Agrawal,Prof. Priyanka Dahiya
In history, agriculture has been the backbone of the economy. These agricultural activities remain undeveloped due to different factors. The current seed classification analysis is inefficient and has no validation mechanism. In this research, we have ma...
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Jun Zhai, Donald L. Grebner, Robert K. Grala, Zhaofei Fan and Ian A. Munn
Invasive tree species cause increasing damage to the environment and local economies. Previous studies have seldom treated the presence and abundance of invasive species as different phenomena. Using Classification and Regression Trees (CART) analysis, i...
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Getachew B. Demisse, Tsegaye Tadesse, Solomon Atnafu, Shawndra Hill, Brian D. Wardlow, Yared Bayissa and Andualem Shiferaw
The objective of this study was to develop information mining methodology for drought modeling and predictions using historical records of climate, satellite, environmental, and oceanic data. The classification and regression tree (CART) approach was use...
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