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Julio Garrote, Ignacio Gutiérrez-Pérez and Andrés Díez-Herrero
Calibration and validation of flood risk maps at a national or a supra-national level remains a problematic aspect due to the limited information available to carry out these tasks. However, this validation is essential to define the representativeness o...
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QIAN Yongshi
Pág. 54 - 65
AbstractIn today?s world, globalization has developed well, and it is in a potential and relatively stable state in both its depth and breadth. Building cultural confidence while strengthening cultural communication is an important issue facing every par...
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Aniket Kumar Singh, Bishal Lamichhane, Suman Devkota, Uttam Dhakal and Chandra Dhakal
This study investigates self-assessment tendencies in Large Language Models (LLMs), examining if patterns resemble human cognitive biases like the Dunning?Kruger effect. LLMs, including GPT, BARD, Claude, and LLaMA, are evaluated using confidence scores ...
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Ivan Volaric and Victor Sucic
One of the frequently used classes of sparse reconstruction algorithms is based on the iterative shrinkage/thresholding procedure, in which the thresholding parameter controls a trade-off between the algorithm?s accuracy and execution time. In order to a...
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Benny Wijaya, Mengmeng Yang, Tuopu Wen, Kun Jiang, Yunlong Wang, Zheng Fu, Xuewei Tang, Dennis Octovan Sigomo, Jinyu Miao and Diange Yang
This research paper employed a multi-session framework to present an innovative approach to map monitoring within the domain of high-definition (HD) maps. The proposed methodology uses a machine learning algorithm to derive a confidence level for the det...
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Carlos Sampaio, Mónica Régio and João Renato Sebastião
Companies depend on the trust and confidence of the general public to thrive. The integrity of financial reporting practices plays a pivotal role in establishing and sustaining stakeholders? confidence. This trust serves as a foundational cornerstone in ...
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Parag C. Pendharkar
This paper proposes a genetic algorithm-based Markov Chain approach that can be used for non-parametric estimation of regression coefficients and their statistical confidence bounds. The proposed approach can generate samples from an unknown probability ...
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Md Sharifuzzaman, Hong-Seok Mun, Keiven Mark B. Ampode, Eddiemar B. Lagua, Hae-Rang Park, Young-Hwa Kim, Md Kamrul Hasan and Chul-Ju Yang
Vietnam heavily relies on pork as its primary source of animal protein. Traditional farming methods, characterized by small-scale operations, dominate the industry. However, challenges such as rising feed costs, disease outbreaks, and market volatility a...
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Jeong Sun Park, Keon Hee Lee, Min Jee Kim, Deuk-Soo Choi, Kyeong-Yeoll Lee, Tariku Tesfaye Edosa, Teshale Daba Dinka, Woori Kwak and Iksoo Kim
The fall armyworm (FAW), Spodoptera frugiperda (Lepidoptera: Noctuidae), is native to tropical and subtropical regions of the Western Hemisphere, but is now regularly appearing in crop fields across South Korea, particularly in corn fields. Therefore, it...
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Yu Yao and Quan Qian
We develop the online process parameter design (OPPD) framework for efficiently handling streaming data collected from industrial automation equipment. This framework integrates online machine learning, concept drift detection and Bayesian optimization t...
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