AISP'20-International Conference on Artificial Intelligence and Signal Processing is organised by the Vellore Institute of Technology-Andhra Pradesh and IEEE Guntur sub-section between 10-12th January 2020 with Technical Co-sponsorship by IEEE Hyderabad Section. It aims to provide an expansive platform to share recent researches in artificial intelligence and signal processing among scientists, scholars, and specialists, from both academia and industry. The theme of AISP'20 is to focus on the recent advances in artificial intelligence and signal processing. The conference further intends to publish unique, critical, and visionary papers in this field to further facilitate recent scientific techniques and innovations.
Artificial Intelligence implements computing technologies to make machines mimic several cognitive functions to provide solutions to specific problems. These technologies address problems that involves reasoning, planning, knowledge representation, analysing, natural language processing, automation, robotics and perception, multiagent systems, applied statistical learning, and deep learning to develop newer applications every day.
In recent years, our everyday lives rely on the usage of computers, radios, cell phones which are enabled through signal processing. It is the heart of today’s technology without which sharing and information transfer becomes impossible. Signal processing has very vast and interdisciplinary applications ranging from engineering field to medical sciences. It has an immense role in providing exponential growth in the field of digital system, microchip, speech, image, and video processing, medical application, computer hardware, and also biosensor.
Call for Papers flyer is available by clicking here
The link for paper submission is available by clicking here
Prospective authors are requested to submit their papers in not more than 6 pages prepared in the two column IEEE format.
All the accepted and presented papers will be published in the form of e-proceedings and will be submitted to IEEE Xplore Digital Library (indexed in SCOPUS, Google Scholar and other major indexing).