Titlebook: Digital Technologies and Applications; Proceedings of ICDTA Saad Motahhir,Badre Bossoufi Conference proceedings 2023 The Editor(s) (if appl

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Improving the Performance of Public Transport Bus Services: Analytics Approach to Revenue Forecastines allows to select the most stable and performing one. This paper presents future directions to enrich academic work and suggests guidelines for professionals to take advantage of advances in terms of revenue forecasting.

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Data Augmentation and Deep Learning Applied for Traffic Signs Image Classificationataset as the number of training images has a significant impact on the classification accuracy of the CNN model. The number of images was increased from 51,840 to 96,750 images by using data augmentation technique. Therefore the classification accuracy was increased from 86.72% to 97.33%.

Amylase

Selected Areas in Cryptography – SAC 2018ptimisation technique, named Fox Prey Optimisation, was created using a mathematical formulation of the fox predatory characteristics. The FPO algorithm is comparable to the Particle Swarm Optimisation (PSO), Ant Colony Optimisation (ACO), Artificial Bee Colony (ABC), and Firefly (FA) algorithmic me

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Carlos Cid,Michael J. Jacobson Jr.s journals. The research strategy was conducted to generate seminal research papers from 1998 to 2022, and the databases used are IEEEXplore and Scopus. We also conducted searches in additional databases such as Web of Science, but no publications were found pertaining to this study; therefore, we e

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https://doi.org/10.1007/978-3-030-10970-7general and criminal law in particular when it comes to holding AI systems criminally responsible. The paper also discusses the legal framework/legal liability model(s) that could be employed for extending the culpability to AI entities and understanding what forms of “punishments” or sanctions woul

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Takanori Isobe,Kazuhiko Minematsuor, showed good results. Their accuracy was tested using different quantitative criteria, such as Mean Squared Error ‘MSE’, Root Mean Squared Error ‘RMSE’, Mean Absolute Error ‘MAE’ and R-Squared ‘R.’. Having an RMSE ranging from 0.0095 mm/day to 0.0404 mm/day, MAE of 0.0666 mm/day to 0.1253 mm/day

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