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Titlebook: Artificial Intelligence and Industrial Applications; Algorithms, Techniqu Tawfik Masrour,Hassan Ramchoun,Mohamed Hosni Conference proceedin

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发表于 2025-3-21 17:57:52 | 显示全部楼层 |阅读模式
期刊全称Artificial Intelligence and Industrial Applications
期刊简称Algorithms, Techniqu
影响因子2023Tawfik Masrour,Hassan Ramchoun,Mohamed Hosni
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发行地址Covers recent research on artificial intelligence techniques for cyber-physical and digital twin systems.Includes the proceedings of the Artificial Intelligence & Industrial Applications (A2IA2023).Wr
学科分类Lecture Notes in Networks and Systems
图书封面Titlebook: Artificial Intelligence and Industrial Applications; Algorithms, Techniqu Tawfik Masrour,Hassan Ramchoun,Mohamed Hosni Conference proceedin
影响因子.Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications..Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization...A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI‘s current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice...Designed for a
Pindex Conference proceedings 2023
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发表于 2025-3-21 21:06:21 | 显示全部楼层
Verschiedene Vernehmungsmethodenclassification problem. The dataset we used is a small dataset of tiny, low-resolution vehicle images. The proposed model is based on the attention mechanism and pre-training on ImageNet-21k dataset. The proposed model achieves good performance compared with state-of-the-art methods.
发表于 2025-3-22 00:46:47 | 显示全部楼层
Fire and Smoke Detection Model for Real-Time CCTV Applications,these concerns, including the potential use of detection based on infrared images produced by public or private cameras. Real-time detection is also a crucial tenet for developing a system capable of sending warnings with evidence produced from RGB or infrared video camera monitoring, expanding the possibilities investigated by this methodology.
发表于 2025-3-22 04:43:40 | 显示全部楼层
Vehicle Image Classification Method Using Vision Transformer,classification problem. The dataset we used is a small dataset of tiny, low-resolution vehicle images. The proposed model is based on the attention mechanism and pre-training on ImageNet-21k dataset. The proposed model achieves good performance compared with state-of-the-art methods.
发表于 2025-3-22 11:20:54 | 显示全部楼层
2367-3370 ificial Intelligence & Industrial Applications (A2IA2023).Wr.Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by
发表于 2025-3-22 14:31:23 | 显示全部楼层
,Psychische Einschränkungen und Bewertungen, the performance of each application depends, inter alia, on the performance of the used POS tagging. Thus, in order to realize an efficient POS tagger, we should care about improving the quality of these three phases: the phase of segmentation, the organization of the lexical units and the phase of disambiguation.
发表于 2025-3-22 20:38:36 | 显示全部楼层
Part of Speech Tagging of Amazigh Language as a Very Low-Resourced Language: Particularities and Ch the performance of each application depends, inter alia, on the performance of the used POS tagging. Thus, in order to realize an efficient POS tagger, we should care about improving the quality of these three phases: the phase of segmentation, the organization of the lexical units and the phase of disambiguation.
发表于 2025-3-23 00:34:42 | 显示全部楼层
Enhancing Comfort and Security: A Chatbot-Based Home Automation System with Integrated Natural Langristic of this system is that it interacts with users via a chatbot that takes commands via text or voice messages and determines the actions to take using integrated natural language processing (NLP) offered by Google’s TensorFlow. The actuations, which take the form of turning on or off the devices, would be carried out by the IoT components.
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