Titlebook: International Conference on Artificial Intelligence Science and Applications (CAISA); Mohamed Abd Elaziz,Mohamed Medhat Gaber,Ahmed A. E C

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An Improved Arithmetic Optimization Algorithm with Differential Evolution and Chaotic Local Search,lt optimization problems. This method makes it easy to combine the strength of two or more algorithms to better traverse a search space. The arithmetic optimization algorithm (AOA) is a recently developed metaheuristic that has received enormous attention among researchers due to its simple and robu

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A Multimodal Spam Filtering System for Multimedia Messaging Service,rketing via Multimedia Messaging Services (MMS), a spammer can evade detection by injecting multimodal junk information into MMS to decrease systems recognition based on a single modality. Due to this situation, we propose in this paper, a powerful spam MMS filtering system, with a multi-modality fu

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ies, all in one book. Includes description of the latest tec.The rapid progress in biology will continue to change the methodological approach to drug discovery in the coming years. Electronic media will continuously help researchers to access and share information. It is, however, becoming more and

火花

Yoro Dia,Lamine Faty,Aba Diop,Ousmane Sall,Tony Tona Landuuously help researchers to access and share information. It is, however, becoming more and more evident that many young pharmacologists have only limited training in classical pharmacological methodologies. These long-standing and still highly relevant methods are simply not available in the electro

Palliation

A Hybrid Model for Predicting Road Accident Severity in Senegal,he model. We put forth a hybrid model that combines random forest (RF) and random search (RS) optimization techniques. In the suggested model, RF-RS, RF serves as the fundamental predictive model while RS is employed to optimize RF’s hyperparameters. The experimental results demonstrate that RF-RS o

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An Efficient Machine Learning Algorithm for Breast Cancer Prediction,h the performance of various well-known algorithms in the discovery of BC such as Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Naïve Bayes (NB), Decision Tree (DT), Random Forest (RF), Logistic Regression (LR) and Artificial Neural Networks (ANN). High results indicate that the RF algorit