CALL FOR PAPERS

Call for Papers 

You are kindly encouraged to contribute to and help shape the conference through submissions of your research abstracts and papers to IPPR 2024. Topics of interest for submission include, but are not limited to:

Track 1: Pattern Recognition and Machine Learning Feature extraction and selection Pattern classification and clustering Bayesian method artificial neural network Reinforcement learning Multimedia data analysis Multimodal big data analysis Supervised learning Unsupervised learning Semi supervised learning Reinforcement learning Convolutional network

Track 2: Intelligent Perception Technology Edge computing Smart City Smart transportation Vehicle monitoring and identification Image and video perception Multimodal data fusion Sensor network Environmental monitoring Autonomous driving Image sensor Perception and intelligent decision-making

Track 3: Pattern Recognition and Application Pattern recognition algorithm Speech and gesture recognition Object detection, tracking, and recognition Biometric identification Signal recognition Image and signal processing Gesture and Behavior Analysis Character and text recognition Handwriting recognition Pattern recognition fingerprint identification Facial recognition Iris Recognition

  

ACM Open Access

ACM has introduced a new open access publishing model for the International Conference Proceedings Series (ICPS). Authors based at institutions that are not yet part of the ACM Open program and do not qualify for a waiver will be required to pay an article processing charge (APC) to publish their ICPS article in the ACM Digital Library. To determine whether or not an APC will be applicable to your article, please follow the detailed guidance here: https://www.acm.org/publications/icps/author-guidance.

Further information may be found on the ACM website, as follows: Full details of the new ICPS publishing model: https://www.acm.org/publications/icps/faq

Full details of the ACM Open program: https://www.acm.org/publications/openaccess

Please direct all questions about the new model to icps-info@acm.org.