8th International Conference on Artificial Intelligence and Fuzzy Logic System (AIFZ 2022)


Venue : Toronto, Canada

September 24 ~ 25, 2022
Program Schedule
September 24, 2022
Time
Session 1:
Session Chair :
09.00 – 09.30 AM Wireless Secret Sharing Game between Two Legitimate Users and an Eavesdropper
Lei Miao, Hongbo Zhang (Middle Tennessee State University, USA), Dingde Jiang (University of Electronic Science and Technology of China, China)
09:30 – 10:00 AM Yolov5, Yolo-x, Yolo-r, Yolov7 Performance Comparison: A Survey
Ismat Saira Gillani (Columbus State University, USA), Muhammad Rizwan Munawar (COMSAT University, Pakistan), Muhammad Talha (GC University Faisalabad, Pakistan), Salman Azhar (Air University, Pakistan), Yousra Mashkoor (NED University, Pakistan), Muhammad Sami uddin (National University of Technology (NUTECH) Islamabad, Pakistan) and Usama Zafar (GC University Faisalabad, Pakistan)
10:00 – 10:30 AM Uncertainty-Oriented Textual Marker Selection for Extracting Relevant Terms from Job Offers
Albeiro Espinal, Yannis Haralambous and John Puentes (IMT Atlantique, Lab-STICC, France), Albeiro Espinal and Dominique Bedart (DSI Global Services, France)
10:30 – 11:00 AM Forward Chaining and Self-Embedding Watermarking for Tamper Detection in a Continuous Stream of Data
Sandip Hodkhasa and Huiping Guo (California State University, USA)
11:00 – 11:30 AM A Tracing-based Tennis Coaching and Smart Training Platform using Artificial Intelligence and Computer Vision
Feihong Liu (USA) and Yu Sun (California State Polytechnic University, USA)
11:30 – 12:00 PM User Repairable and Customizable Buzzer System using Machine Learning and IoT System
Leheng Huang (USA) and Yu Sun (California State Polytechnic University, USA)
12:00 – 12:30 PM Prediction of Chronic and Non- Chronic Kidney disease using Modified DBN with Map and Reduce Framework
P. Ravikumaran (Fatima Michael College of Engg & Tech, India), K. Vimala Devi (Vellore Institute of Technology, India) and K. Valarmathi (P.S.R Engineering College, India)
12:30 – 01:00 PM SafeLanding: An Intelligent Airbag System for Automated Fall Detection and Protection using Machine Learning and Internet-Of-Things (IoT)
Richard Lin (Phillips Academy Andover, USA) and Yu Sun (California State Polytechnic University, USA)
01:00 – 2:00 PM ------------------------Lunch Break-------------------------
Time
Session 2:
Session Chair : Ismat Saira Gillani (Columbus State University, USA)
2:00 – 2:30 PM
Quantifying the Theory Vs. Programming Disparity using Spectral Analysis
Natarajan Meghanathan (Jackson State University, USA)
2:30 – 3:00 PM
A Stock Forecasting App Using Machine Learning and Big Data Analysis to Help Guide Decision Making when Investing in the Stock Market
Alex Xie (USA) and Yu Sun (California State Polytechnic University, USA)
3:00 – 3:30 PM
An Intelligent Monitoring and Rewarding System to Assist the Tennis Training using Sensor-based Detection and IoT System
Andy Kuang (USA) and Yu Sun (California State Polytechnic University, USA)
3:30 – 4:00 PM
MoodLink: A Data-Driven Social Interactive Mobile Application for Depression Relief using Artificial Intelligence and Natural Language Processing
Yilan Zhao (USA) and Yu Sun (California State Polytechnic University, USA)
4:00 – 4:30 PM
Finding Correlation between Chronical Diseases and Food Consumption from 30 Years of Swiss Health Data Linked with Swiss Consumption Data using FP-Growth for Association Analysis
Jonas Baschung and Farshideh Einsele (Bern University of Applied Sciences, Switzerland)
4:30 – 5:00 PM
An Context-Aware Intelligent System to Automate the Conversion of 2D Audio to 3D Audio using Signal Processing and Machine Learning
Bolin Gao (Fairmont Preparatory Academy, USA) and Yu Sun (California State Polytechnic University, USA)
5:00 – 5:30 PM Augmented Efficient Zero-Knowledge Contingent Payments in Cryptocurrencies without Scripts
Peifang Ni (TCA Laboratory, Chinese Academy of Sciences Beijing, China & State Key Laboratory of Cryptology, China)
5:30 – 6:00 PM Mimicking a Complete Life-Cycle of Fiat Currency in One E-cash System
Peifang Ni (TCA Laboratory, Chinese Academy of Sciences Beijing, China & State Key Laboratory of Cryptology, China)
----------------------- To be Continued --------------