Hybrid -- Registered authors can present their work online or face to face New
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
Authors are invited to submit papers through the conference Submission System by closed. 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.
Important Dates
Second Batch : (Submissions after May 04, 2024)
Speakers
Feng Hsu Wang
Ming Chuan University
Taiwan
Mahdi Madani
University of Burgundy
France
Karla Karina Ruiz Mendoza
University Autonomus of Baja California
Mexico
Mohamed M. Ghoneim Sywelem
Suez University
Egypt
Oluwafemi P. Famakinde
Nigeria Institute of Social and Economic Research (NISER)
Nigeria
Habil Kalkan
Ege University
Turkey
Maya Trutschl
USA
Paper Submission
Sample Template
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