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Showing posts from November, 2023
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 #IJMECH #Tribology #machinabilityofmaterials  #CAD International Journal of Recent Advances in Mechanical Engineering (IJMECH) ISSN: 2200-5854 Web page URL : https://wireilla.com/engg/ijmech/index.html Paper Submission URL : http://allcfps.com/wireilla/submission/index.php Contact us : ijmechjournal@wireilla.com
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  #knapsack #geneticalgorithm #machinelearning #artificialintelligence #datamining Addressing the Knapsack Challenge through Cultural Algorithm Optimization Mohammad Saleh Vahdatpour, Georgia State University, USA https://www.youtube.com/watch?v=0uWK93iNMRI&ab_channel=ComputerScience%26ITConferenceProceedings
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  #recognition #biometricauthentication #algorithm #atm #signalprocessing Authentication in ATM/ITM Machines using Iris Recognition Biometrics Hafızullah Özgür and Yunus Emre Selçuk, Yıldız Technical University, Turkey https://www.youtube.com/watch?v=wMEPmbmNx8w&ab_channel=ComputerScience%26ITConferenceProceedings
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  #knowledgerepresentation #knowledge #machinelearning #naturallanguageprocessing Chinese Named Entity Recognition based on Knowledge-Based Question Arvind Chandrasekaran, Colorado Technical University, USA https://www.youtube.com/watch?v=HDPZWaulouk&ab_channel=ComputerScience%26ITConferenceProceedings
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An Inspection Technology of Inner Surface of the Fine Hole Based on Machine Vision Rongfang He, Weibin Zhang and Guofang Gao, Institute of Chemical Materials, China Abstract Fine holes are an important structural component of industrial components, and their inner surface quality is closely related to their function. In order to detect the quality of the inner surface of the fine hole, a special optical measurement system was investigated in this paper. A sight pipe is employed to guide the external illumination light into the fine hole and output the relevant images simultaneously. A flexible light array is introduced to suit the narrow space, and the effective field of view is analyzed. Besides, the arc surface projection error and manufacturing assembly error of the device are analyzed, then compensated or ignored if small enough. In the test of prefabricated circular defects with the diameter φ0.1mm, φ0.2mm, 0.4mm distance distribution and the fissure defects with the width 0.3mm, ...
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  #deeplearning #imageprocessing #yolov8 #artificialintelligence Monocular Depth Estimation Using a Deep Learning Model with Pre-Depth Estimation based on Size Perspective Takanori Asano and Yoshiaki Yasumura, Shibaura Institute of Technology, Japan https://www.youtube.com/watch?v=BR4T-x59tKk&ab_channel=ComputerScience%26ITConferenceProceedings