WELCOME to ICETAI-2023

It is with great excitement that we announce the upcoming International Conference on Emerging Trends and Applications in Artificial Intelligence (ICETAI). The conference is organized by the Istanbul Medipol University, Turkey, on September 08-09, 2023. This event will bring together leading experts, researchers, scholars, and professionals from around the world to share their latest findings and explore the newest advances in the field of artificial intelligence. As technology continues to shape our lives, the role of artificial intelligence has become increasingly significant. This conference provides a unique opportunity to gain insights into the latest developments and applications of artificial intelligence in the digital age. From cutting-edge research to real-world applications, the conference will provide a comprehensive overview of the field and its impact on society. We invite all interested in the future of artificial intelligence and its applications to join us for this exciting event.

This conference also welcomes the submission of original, high-quality research papers. We invite authors to submit their work in areas related to artificial intelligence and its applications, including, but not limited to, machine learning, deep learning, computer vision, natural language processing, robotics, and more. All submissions will be reviewed by a panel of experts in the field, and accepted papers will be presented at the conference and published in the conference proceedings. This is an excellent opportunity for researchers, scholars, and professionals to showcase their work and contribute to the advancement of the field. Submissions should be made through the conference website, and authors should consult the submission guidelines for further information.

Each paper will be peer-reviewed by at least two reviewers and evaluated based on originality, technical depth, correctness, relevance to conference, contributions, and readability. The papers will be accepted based on technical merit, interest, applicability, and how well they fit a coherent and balanced technical program.

The conference will be carried in hybrid mode. Both In-Person and online presentations will be allowed.

Kind Regards,

General Chair(s)
Prof. Dr. Gökhan Silahtaroğlu,
Istanbul Medipol University
Prof. Dr. Samee U. Khan,
Mississippi State University, USA

Conference Topics

The conference topics include but not limited to the following:

1. Artificial Intelligence and Machine Learning

Statistic Learning & Pattern Recognition
Deep Learning & Neural Network Robotics
Remote Sensing and Applications
Medical Image Processing
Image and Video Retrieval
Speech, Audio and Music Processing
Computer Vision Applications
Natural language processing (NLP)
Image Processing & Computer Vision
Deep and Reinforcement learning
Distributed and decentralized machine learning algorithms
Distributed Intelligent Processing
Intelligence Language & Speech
Intelligent wireless communications

2. Big Data and Cloud Computing

Models and algorithms of Big Data
Architecture of Big Data
Big Data Management
Big Data Analysis and Processing
Security and Privacy of Big Data
Big Data in Smart Cities
Search, Mining and Visualization of Big Data
Technologies, Services and Application of Big Data
Edge Computing
Architectures and systems of Cloud Computing
Models, Simulations, Designs, and Paradigms of Cloud Computing
Management and operations of Cloud Computing

3. Internet of Things and Blockchain

Architecture for secure IOT
Blockchain for security IoT
Intelligent Systems for IOT
Blockchain for Identity Management
Enterprise Blockchain Adoption
Data Compression in IoT Devices
Networking and Social Networks
IoT Services and Applications
Internet of things information security
Blockchain and Crypto Market Trends
Social Networks Analysis
Cloud computing in the IOT
Internet of things technology standard
Legal issues for Blockchain

4. Data Analysis and Visualization

Statistical Methods for Data Analysis
Machine Learning for Data Analysis
Predictive Modeling for Data Visualization
Business Intelligence
Big Data Analysis
ML for Data Analysis
Interactive and Exploratory Data Analysis
Statistical Inference in Data Analysis
Unsupervised Learning for Data Analysis
Data Visualization
Data Mining and Analysis
Social Media Analytics
Network Analysis for Data Visualization
Exploratory Data Analysis

Organizers | Sponsors

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Medipol University

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Al-Farahidi University

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Yanka Kupala State University of Grodno