CONF-MLA 2023 will hold an online session on the topic of machine learning and automation for more convenient participation of scholars worldwide. This online session will invite professors from top universities and authors of qualified papers to present their works. Keynote speeches and oral presentations will be available on CONF-MLA 2023 official YouTube channel. We believe that this online session will still be a great platform for participants to share, discuss, and cooperate. Hope you enjoy the CONF-MLA 2023 online session!
All invited authors at the online session will be giving their presentations using pre-recorded videos. The recommended length of the videos is 5-10 minutes. An official YouTube channel for the online session will be created. All accepted videos will be uploaded to our official channel. Discussion on the content of the papers will be conducted in the comment section of the videos.
Date: October 18, 2023
|09:30-10:00||Supervised Learning for Biomedical Applications|
|10:00-10:30||Autoencoder Based Semantic Communications|
|10:30-11:00||Machine Learning on Physiological Signals|
|11:00-11:30||Machine Learning for Intelligent Biomedical Data Quantification|
|11:30-12:00||Explainable Artificial Intelligence in Education|
|14:00-14:30||Scenario-Based Functional Testing of Machine Learning Applications|
|14:30-15:00||An ANN-Based Impedance Measurement System|
|15:00-15:30||Towards AI-assisted blockchain for Metaverse and Industry 5.0|
|15:30-16:00||Metaverse Applications in Higher Degree Education|
|16:30-16:45||Next Generation Transistors for Autonomous Vehicles and Intelligent Systems|
|16:45-17:00||An Automated FX Currency Transaction Forecasting Process for Global E-commerce and Fintech Companies|
|17:00-17:15||Design a 5-stage pipeline RISC-V CPU and optimise its ALU|
|17:15-17:30||Prediction-based early warning system for overflow of people in metro stations|
|17:30-17:45||Implementation of Intelligent Healthcare Image Detection System based on OpenCV|
|17:45-18:00||A Review of Virtual Reality Technology|
|18:00-18:15||Applications and Challenges of Silicon Carbide (SiC) MOSFET Technology in Electric Vehicle Propulsion Systems: A Review|
Besides the certificate of participation, speakers in the online session will also receive a certificate of oral presentation. The presentation videos will be listed on the official YouTube channel permanently.
|October 12||Video Submission Deadline|
|October 18||Online Session Begins|
|October 24||Questions Collection Deadline|
There is no participation fee. The presenters need to pay a processing fee.
Invited presenters can follow the instruction to record and upload their presentations. Every presenter should make their own slides including one designated cover slide and record a video within the time limit. The recommended length of the videos is between 5 and 10 minutes. The video and slides should be in widescreen format (16:9). The slides can be created in any presentation software, e.g., PowerPoint, Keynote, etc., which allows you to export slides to PDF. You should upload the final video as well as the exported slides in PDF format to gofile.io and email the link to us. Download THIS FILE to look through more information.
All participants are welcome to the CONF-MLA chat room on Discord. You can have direct interactions with speakers. If you would like to join the online discussion, please contact email@example.com.
Comments and discussions are also welcomed in the comment section of the videos. All participants may send the questions to us via email as well. We will send those questions privately to the speakers and the deadline for them to reply is November 1, 2023. All the discussions will be concluded and posted in the comment section at last.
You can choose other online storage platforms (wetransfer.com, cowtransfer.com etc.) to upload your files. If your email service has the ability to send large files within its system, you could also the files directly to us. PLEASE DO NOT upload the video directly to YouTube or any other video hosting websites by yourself, sending us a link to it.