International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024)

Memo

International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) June 29 ~ 30, 2024, Copenhagen, Denmark https://inwes2024.org/nlaim/index SCOPE International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field. Authors are solicited to contribute to the conference by submitting articles showcasing research findings, projects, surveys, and industrial experiences that demonstrate notable progress in various areas, including but not limited to:. TOPICS OF INTEREST Chunking/Shallow Parsing Computational Linguistics& NLP Dialog Systems Discourse Information Extraction Information Retrieval and AI Information Retrieval Lexical Semantics Linguistic Resources Machine Translation NLP & AI Ontology Paraphrasing/Entailment/Generation Parsing/Grammatical Formalisms Phonology, Morphology POS Tagging Question Answering Semantic & NLP Semantic Processing Speech Recognition and Synthesis Spoken Language Processing Statistical and Knowledge based Methods Text Mining Adaptive systems AI Algorithms Artificial Intelligence and Cloud Computing Artificial Intelligence and Internet of Things Artificial Intelligence Cyber Security Artificial Intelligence Tools & Applications Bioinformatics, Biometrics Business Intelligence Data and Web mining Ensemble Method Evolutionary Computation Fuzzy Set Theory, Fuzzy Control and System Geo-informatics Hybrid and Nonlinear system Inductive Learning Information Fusion Information Retrieval Intelligent Agent, Control Intelligent and Knowledge based system Logistics Machine Learning Media computing Neural Network and Support Vector Machine Pattern Recognition Rough and Fuzzy Rough Set Visual Information Processing Automated Machine Learning Bayesian Network Computer Vision, Data Mining Deep Learning Learning in Knowledge-intensive Systems Learning Methods, Analysis and Problems Machine Learning Algorithms Neural Networks Predictive Learning Reinforcement Learning Supervised Machine Learning Unsupervised Machine Learning Paper Submission Authors are invited to submit papers through the conference Submission System by May 18, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Following further revisions, select papers from NLAIM 2024, will be published in special issues of the listed journals at no cost. International Journal of Artificial Intelligence & Applications (IJAIA) International Journal of Fuzzy Logic Systems (IJFLS) International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) International Journal of Soft Computing (IJSC) International Journal on Natural Language Computing (IJNLC) International Journal of Web & Semantic Technology (IJWesT) IS – Indexed Machine Learning and Applications: An International Journal (MLAIJ) Information Technology in Industry (ITII) Importance Dates  Submission Deadline : May 18, 2024 Authors Notification : June 08, 2024 Registration & Camera-Ready Paper Due : June 15, 2024 Contact Us Here’s where you can reach us : This email address is being protected from spambots. You need JavaScript enabled to view it. or This email address is being protected from spambots. You need JavaScript enabled to view it.