The International Conference on Artificial Intelligence, Device
Computing, Communication, and Signal Processing [AIDCCSP-2024] seeks
submissions in the form of original technical papers and
presentations. Submissions should delve into the theoretical and
technological foundations of Artificial Intelligence (AI), Device
Computing, Communication, and Signal Processing. Emphasis is placed on
exploring applications propelling the advancement of these domains,
operational intricacies, empirical findings from deployments, and the
overarching influence on end-users, the research landscape, public
administration, and various commercial sectors. The conference aims to
foster discussions on the multifaceted dimensions of AI, Device
Computing, Communication, and Signal Processing, promoting the
exchange of knowledge and insights among scholars and practitioners.
The conference will be held as offline event, accepting in person
presentations, and will be conducted between December 20-22, 2024.
AIDCCSP-2024 invites high-quality research papers in various tracks
listed below.
Machine Learning and Computational Intelligence
Artificial Intelligence & Machine Learning
Pattern recognition
Computer Graphics & Virtual Reality
Distributed & Cloud Computing
Soft Computing
Grid and Cluster Computing
Perceptual Computing, and related topics
Learning using Ensemble and boosting strategies
Manifold Learning
Fuzzy Learning
Kernel Based Learning
Genetic Learning
Bioinformatics and biomedical informatics
Collaborative filtering
Information retrieval
Natural language processing
Inference dependencies on multi-layered networks
Recurrent Neural Networks and its applications
Graph wavelets & Graph mining methods
Clustering, Classification and regression methods
Supervised, semi-supervised and unsupervised learning
Reinforcement Learning
Pattern summarization
Fuzzy approaches to parameter estimation
Genetic optimization
Internet of Things
Applications and Use Cases:
Healthcare
Industry & Manufacturing
Smart Cities, Smart Buildings
Vehicular, Sustainability
Unmanned Aerial Vehicles
Natural Resource Management
Transportation, Construction
Critical Infrastructure Protection
Computing:
Edge and Embedded Computing
High Performance Computing
Data Storage
Localization techniques
Connectivity:
IoT Communication Protocols
Wireless Communications
Internet, Mobility
Software Defined Networking
Wireless Sensor Networking
Drone assisted communications
Deep Space Communications, Satellite Communications, Maritime
Communications
Underwater Communications
Terahertz Communications
Ultra-reliability and Low latency
IoT in Fifth and Sixth generation networks
Internet of Nano Bio Things
Security and Privacy:
IoT Cybersecurity
Privacy and Trust
Blockchains
Data Sciences and Big Data
Big data management
Data retrieval
Big data storage techniques
Data mining and warehouse
Data visualization
Scalability and portability issues of big data
Big data recommender systems
Digital Forensics
Parallel processing of big data
Distributed access of big data
Applications of big data and related topics
Social Network Analysis
Text Mining
Sentiment Analysis
Data Acquisition, Integration, Cleaning
Data Visualizations
Semantic-based Data Mining
Data Wrangling, Data Cleaning, Data Curation, Data Munching
Data Analysis, Statistical Insights
Decision making from insights, Hidden patterns
Data Science technologies, tools, frameworks, platforms, and
APIs
Link and Graph Mining
Efficiency, scalability, security, privacy, and complexity
issues in Data Science
Labelling, Collecting, Surveying, Interviewing, and other tools
for Data Collection