Titlebook: Intelligent Systems and Pattern Recognition; Third International Akram Bennour,Ahmed Bouridane,Lotfi Chaari Conference proceedings 2024 Th

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Study of?Support Set Generation Techniques in?LAD for?Intrusion Detectionions of the dataset, which can make the classification process more challenging. The support set generation step is performed to select the important features from the binarized dataset. In this paper, five techniques, namely Set covering problem, Mutual Information Greedy algorithm, Information Gai

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Minimal Window Duration for?Identifying Cognitive Decline Using Movement-Related Versus Rest-State Ehniques used are invasive in nature and time-consuming due to their reliance on the intervention of an expert neuropsychologist and manual diagnosis. Therefore, the adoption of artificial intelligence (AI) and especially machine learning (ML) has proven most useful. It provided healthcare practition

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Modeling Graphene Extraction Process Using Generative Diffusion Modelshly sought-after material for a wide range of applications. Its extraction process, a chemical reaction’s result, is represented as an image that shows areas of the synthesized material. Knowing the initial conditions (oxidizer) the synthesis result could be modeled by generating possible visual out

Epidural-Space

Bird Species Recognition in?Soundscapes with?Self-supervised Pre-trainingrds’ natural habitats. This typically produces a large amount of unlabeled data. While self-supervised machine learning methods have recently been successfully applied to computer vision and natural language processing tasks, state-of-the-art automatic approaches for bird species recognition in audi

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On the Different Concepts and Taxonomies of eXplainable Artificial Intelligenceligent systems. This shift was boosted by the fact that AI and especially the Machine Learning (ML) field models are, currently, more complex to understand due to the large amount of the treated data. However, the interchangeable misuse of XAI concepts mainly “interpretability” and “explainability”

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Classifying Alzheimer Disease Using Resting State Coefficient of?Variance BOLD Signalsogical brain signals. In this paper, we show the importance of abnormality detection of physiological pulsations which is effective in detecting neurodegenerative diseases. We use the coefficient of variance of rs-fMRI BOLD signal (CV.) as the physiological signal distribution that reflects brain ac

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Proteus Based Automatic Irrigation Systemrrigation is one of the most promising solution to maintain food security; recently, there is a growing interest in this system around the world. It has become possible to establish self-contained decision-making systems that monitor various phenomena by relying on wireless sensor networks, with the

NAUT

How AI can Advance Model Driven Engineering Method ?rements, reducing errors, improving decision-making, tackling complex problems, system automation, increasing operational efficiencies, etc. To do so, AI implies several sub-fields such as Machine Learning (ML), Deep Learning (DL), Neural Networks (NN), Natural Language Processing (NLP), Robotics, e

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