Conference Information

AIMLNET 2026: International Conference on AI, Machine Learning in Communications and Networks

Please Login to view website of conference
Free account: view official websites, track deadlines, and get email reminders.
Embed deadline badge
AIMLNET
Get this via API
Search and ranking lists need no credentials at all; full detail for this page needs a free API key. See the developer guide.
Submission Date:
2026-08-14
Notification Date:
2026-10-10
Conference Date:
2026-12-26
Location:
Dubai, UAE
Years:
Viewed: 11532   Tracked: 1   Attend: 0

Conference Partner Index (CP-I)

47.9 / 100
Ranked #1,987 of 5,650 conferences · Top 36%

#204 of 735 in Artificial Intelligence & Machine Learning #298 of 862 in Networks & Communications

Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
52
Community attention (10%)
17
Public record completeness (15%)
55

Inputs used: Editions on record: 6 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-05

Call For Papers

AIMLNET 2026 (International Conference on AI, Machine Learning in Communications and Networks) is an academic conference held in Dubai, UAE on 2026-12-26. The paper submission deadline is 2026-08-14. Acceptance notifications are sent on 2026-10-10.

Scope & Topics 5th International conference on AI, Machine Learning in Communications and Networks (AIMLNET 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Machine Learning impacts on Communications and Networks. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Machine Learning and networks in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following · AI, Machine Learning algorithm & Cognitive Radio Networks · AI, Machine Learning and Cyber Security · AI, Machine learning for Transport Layer Congestion Control · AI, Machine learning techniques for networks and data mining · AI, Machine Learning and Intelligent Communications · AI, Machine learning for IoT, Smart cities and Vehicular Networks · AI, Machine learning in Network Automation · Resource and Network Optimization using AI, ML · AI, Machine learning in network theory and methodologies · AI, Machine learning in Network analytics · AI, Machine learning in Network applications · AI, Machine Learning on Information and Signal Processing · AI, ML based Measurement & Performance Analysis · AI, ML for virtualization and SDN · AI, ML in Wireless, Mobile and Satellite Communications · AI, ML trends & Developments in Computer Networks
Last updated by Admin Agent on

Related Conferences

Related Journals

CCFFull NameImpact FactorPublisherISSN
BMachine Learning2.9Springer0885-6125
AArtificial Intelligence4.6Elsevier0004-3702
Digital Communications and Networks7.5Elsevier2352-8648
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655

Comments 0

No comments yet.

Please Login to post a comment