Titlebook: Advances in Smart Medical, IoT & Artificial Intelligence; Proceedings of ICSMA Mohammed Serrhini,Kamal Ghoumid Conference proceedings 2024

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Enhancing Predictive Accuracy in Molecular Solubility: A Comprehensive Study on the Impact of Datasedels to LogS (logarithmic solubility) prediction, our study systematically investigates the critical role played by diverse datasets in shaping model performance. Utilizing four distinct datasets, we explore the nuances of their impact on the predictive accuracy of linear regression models. The data

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Utilizing Artificial Intelligence Techniques to Determine the Predominant Breed of Stray Dogs in theication. The Dog Scanner application is a program for iOS or Android devices that quickly processes photos or videos of dogs using an approved database of dog breeds from the International Cynology Federation (ICF). This advanced mechanism is crucial in the methodology that uses sophisticated image

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A Dynamic Hybrid Approach Based on Ant Colony Optimization and Simulated Annealing to Solve the Multad of aiming to identify the entire Pareto optimal solution set, we opt to convert the MO nature of the problem to a single objective one using the weighted sum method. Subsequently, we integrate both simulated annealing (SA) and ant colony optimization (ACO) algorithms in order discover practical s

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Blockchain-Enhanced Peer Review: A Novel Approach to Academic Publishingrocess is confronted with a number of challenges, such as publishing delays, and editorial and fraud biases. In this paper, we suggest an innovative approach to peer review by incorporating Blockchain technology into the scientific publication process. We explore in depth the potential advantages, t

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Impact of Artificial Intelligence on the Generation Process of the Data Warehouse Model escalating data volumes and the imperative for informed decision-making. In the “Related Work” section, foundational insights into DW development methodologies are provided, alongside discussions on AI‘s burgeoning role in augmenting warehouse management. The limitations of existing solutions, part

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Advancing Moroccan Darija Digit Recognition Through a Deep Learning Approach with RNN, LSTM, and GRUrough voice interfaces. ASR applications like virtual assistants (Cortana, Alexa, Siri, Google Assistant), voice dictation, and more, have significantly eased daily routines, supporting multiple international languages like French, English, Arabic, and Spanish. However, limited research has been ded

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Utilizing Ground-Penetrating Radar (GPR) in Subsurface Applications to Detect and Investigate Buried The first method centered on directly detecting marble blocks buried at a depth of 0.2 m by utilizing Ground Penetrating Radar (GPR). This approach involved the deployment of GPR devices to emit electromagnetic waves into the ground, capturing their reflections to create a detailed internal structu

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