Titlebook: Recent Challenges in Intelligent Information and Database Systems; 16th Asian Conferenc Ngoc Thanh Nguyen,Richard Chbeir,Krystian Wojtkiew

Tartar

Exploring XAI Attention Maps to?Investigate the?Effect of?Distance Metric and?Lesion-Shaped Border Eres from the skin lesion segment and its surrounding tissues, while selecting the appropriate similarity measure in this case. Moreover, within the framework of eXplainable Artificial Intelligence (XAI) and in order to further analyse and validate the proposed method, we employ attention maps. These

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Blockchain-Based Educational Certification Systems?Using a Modified Hash Algorithme back-end and PostgreSQL to save process information for institutes so that it can manage process information for students. For the front-end, we use React, type, tailwind, and web3, and build pages and connecting logics. This certification will be added to the student’s wallet address in such a wa

parallelism

-2, and CIRIA TN142, build up a systematic assessment approach, and present real monitoring data collected from construction sites. These monitoring data are normally enormous and recorded in real time, hence opened the opportunities for artificial intelligence data transmission and alert notificati

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nvolving many people nearby the monitored buildings. Some examples from the authors’ many monitoring campaigns on monuments located in different urban environments are presented. In particular, the effect on one of the monitored buildings of the drastic reduction of seismic noise during the SarsCov2

THROB

Zoltán Balogh,Jan Francisti,Marek Hrab?áknvolving many people nearby the monitored buildings. Some examples from the authors’ many monitoring campaigns on monuments located in different urban environments are presented. In particular, the effect on one of the monitored buildings of the drastic reduction of seismic noise during the SarsCov2

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Ikbel Haouas,Mouna Attia,Lazhar Hamel,Mohamed Graiet,Walid Gaalouliteria (MAC) is estimated to compare the mode shapes and localize the damage. MAC successfully captures and localize the damage due to change in the mode shapes. The strain modes from piezo sensors are more sensitive towards the damage, and hence, they are effectively able to capture and identify th

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Jun-Ping Wang,Ti-Ling Wang,Yu-Hsuan Wu,Chun-Wei Tsai nonlinearity curve (TNC). The estimation of material nonlinearity for different fatigue life through the simulation and amplitude-based parameter is found to be in close agreement with the TNC under the predefined conditions of distance and cycles in the excitation signal. Thus, the knowledge of ma