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1
ICDIP 2024 — The 16th International Conference on Digital Image Processing
24. Mai 2024 - 26. Mai 2024 • Haikou, China
Veranstalter:
International Association of Computer Science and Information Technology
Zusammenfassung:
The 16th International Conference on Digital Image Processing (ICDIP 2024) will be held in Haikou, China during May 24-26, 2024, which is hosted by School of Computer Science and Technology, Hainan University, China.
Kontakt:
Email: aimee@iacsit.net
Themen:
Image & Video Analysis and Segmentation; Cyclo-stationary Signal Analysis; Neural Networks for Signal Processing; Image & Video Coding and Transmission; Data Mining Techniques; Noise Control; Image & Video Labeling and Retrieval; Deep Learning for Images and Video; Nonlinear Signals and Systems; Image & Video Perception and Quality Models; Discrete Hilbert Transforms; Pattern recognition and analysis; Image and Video Compression; Document Analysis; Pattern Recognition in New Modalities;
Eintrags-ID:
1579511
2
ISPDS 2024 — IEEE 2024 5th International Conference on Information Science and Parallel and Distributed Processing (ISPDS 2024)
31. Mai 2024 - 02. Jun 2024 • Guangzhou, China
Veranstalter:
South China University of Technology, China
Zusammenfassung:
The Greenwich Parallel Session of ISPDS 2024 will be held on campus at University of Greenwich. Due to the time difference between the main venue in Guangzhou and Greenwich, the ISPDS 2024 Greenwich Parallel Session is scheduled from 09:00 to 12:00 (GMT),on Saturday, 1st June 2024, in King William 002 at Greenwich Campus. The conference aims to provide a platform for experts and scholars engaged in information science, parallel or distributed processing research, engineering and technical personnel, and technology research and development personnel to share scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote the industrialization of academic achievements. The conference sincerely invites academic experts, scholars, businesspeople, and other relevant personnel to participate in ISPDS 2024.
Kontakt:
Tel.: [+86-16782275466];     Email: contact_ispds@163.com
Themen:
Algorithms, Artificial Intelligence, Applications, Compilers and runtime systems, Communication, Deep memory hierarchies, Development, analysis, or management tools, Data Compression, Data Mining, Data Engineering, Fault tolerance for Parallel and Distributed systems, High performance computing, cloud and grid computing, Information Retrieval, Image Processing, Information Systems, Middleware and Software engineering, Programming languages, Programming theory and models, Security in Computing, Signal Processing, Information / Cyber Security, Wireless and Mobile Computing
Eintrags-ID:
1616925
3
BDAI 2024 — The 7th International Conference on Big Data and Artificial Intelligence
05. Jul 2024 - 07. Jul 2024 • Peking, China
Veranstalter:
The South Asia Institute of Science and Engineering
Zusammenfassung:
The 7th International Conference on Big Data and Artificial Intelligence (BDAI2024) will be held at North China University of Technology, Beijing, China during July 5-7, 2024. The conference is co-sponsored by IEEE, Research Institute of Big Data Analytics at XJTLU, North China University of Technology, Beijing, China; Co-sponsored by Ocean University of China, China Agricultural University and South China University of Technology.
Kontakt:
Ms. Ashley Liu;     Email: brandon@saise.org
Themen:
Big Data Models and Algorithms; Big Data Architectures; Big Data Management; Big Data Protection, Integrity and Privacy; Big Data Search and Mining; Artificial Intelligence;
Eintrags-ID:
1582893
4
IEEE AITest 2024 — IEEE AITest 2024 : The 6th IEEE International Conference on Artificial Intelligence Testing (AITest2024)
15. Jul 2024 - 18. Jul 2024 • Shanghai, China
Zusammenfassung:
The conference invites papers of original research on AI testing and reports of the best practices in the industry as well as the challenges in practice and research.
Kontakt:
Hong Zhu -> General Inquiries, Junhua Ding -> Program Inquiries;     Email: hzhu@brookes.ac.uk, Junhua.ding@unt.edu
Themen:
Artificial Intelligence (AI) technologies are widely used in computer applications to perform tasks such as monitoring, forecasting, recommending, predicting, and statistical reporting.
Eintrags-ID:
1607192
5
AIPR 2024 — 2024 7th International Conference on Artificial Intelligence and Pattern Recognition
20. Sep 2024 - 22. Sep 2024 • Xiamen, China
Veranstalter:
AIPR2024 is mainly organised by Huaqiao University, co-sponsored by Wuhan Institute of Technology and Minnan Normal University, China.
Zusammenfassung:
Today, AI is surrounding us, it is coordinated into our every day lives. Artificial Intelligence is empowering machines to behave like humans by adding Emotional Quotient(EQ) to them. Artificial intelligence is a blooming technological advancement, from software’s like Alexa, to basic human command system. Big data can be used to speed up AI development and soon AI will significantly impact our everyday lives. AI is the future and it’s here to stay. In the future, there will be a greater demand for people who can program machines to “think” and enrich human lives. A pattern is a short description of the data. Pattern recognition is how agents make predictions, which is a central problem in AI. Pattern recognition forms the basis of learning and action for all living things in nature. The importance of Pattern Recognition can be traced from its needs in daily life- pattern recognition plays an important role: reading texts, identifying people, retrieving objects, or finding the way in a city. Once patterns are established, learned from some examples or from a teacher, we are able to classify new objects or phenomena into a class of known patterns. Pattern Recognition is a vast area of research and there are endless number of possibilities as pattern recognition is still under research as it is getting more futuristic and intelligent with a great affect in human life in a positive manner.
Kontakt:
Email: Dunn@iact.net
Themen:
Pattern Recognition and Machine Learning; Computer Vision and Robot Vision; Image, Speech, Signal and Video Processing; Document Analysis, Biometrics and Pattern Recognition Applications; Biomedical Image Analysis and Applications;
Eintrags-ID:
1593526
6
BDML 2024 — 2024 7th International Conference on Big Data and Machine Learning
20. Sep 2024 - 22. Sep 2024 • Xiamen, China
Veranstalter:
International Academy of Computing Technology
Zusammenfassung:
2024 7th International Conference on Big Data and Machine Learning will be held in Xiamen, China during September 20-22, 2024. Machine Learning (ML) and Big Data Processing & Analytics (BDA) are both evolutionary fields of computing and the developments in these fields are complementing each other. The ever changing data landscape in modern digital world have resulted in newer ways of data processing frameworks in order to get meaningful insights which are unprecedented. ML based Big Data Processing has gained popularity and new developments are on the rise for efficient data processing. This field is witnessing unparalleled emergence of new methods and approaches for efficient data processing in order to discover interestingness for decision making. Thus, more and more ML based data processing approaches are being used for Big Data Processing. With the splurge data from different newer sources, heterogeneous nature of data, uncertain & unstructured data, the so called Big Data with all its characteristics (5 Vs) there is an ever increasing need to use approaches which aid in modelling and processing of these data, provide automated approach to data processing and so on. Thus the BDML conference series welcomes the scholars who are researching in this interesting & challenging domain of ML and Big Data Processing and provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of Big Data and Machine Learning.
Kontakt:
Email: Dunn@iact.net
Themen:
Big Data; Machine learning;
Eintrags-ID:
1593525


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