10th International Conference on Computer Science, Engineering and Information Technology (CSEIT 2023)

Venue : Sydney, Australia

June 17 ~ 18, 2023
Program Schedule
June 17, 2023
Session 1:
10.00 – 10.30 AM Forecasting Students' Employment Rate Under the OBE Model
Xiaoke Deng, Huakun Hou, Meiyu Jin and Linbo Zhai (Shandong Normal University, China)
10:30 – 11:00 AM Student Achievement Prediction Model based on TLBO-BP
Huakun Hou, Xiaoke Deng, Zekun Lu and Linbo Zhai (Shandong Normal University, China)
11:00 – 11:30 AM Exploring the Cultural Significance of Ecommerce Websites Through Semiotic Analysis: A Literature Review
Omar Hujran (United Arab Emirates University, United Arab Emirates)
11:30 – 12:00 PM ------------------------ Tea Break -------------------------
12:00 – 12:30 PM A Framework for the Detection of Banking Trojans in Android
Subarna Adhikari, Sushil Nepal and Rabindra Bista (Kathmandu University, Nepal)
12:30 – 1:00 PM Prototyping a Serial Number based Authentication Model for a Computer in a Wireless Local Area Network
John C. Chebor (Kabarak University, School of Science, Engineering and Technology, Nakuru, Kenya)
1:00 – 2:00 PM ------------------------ Lunch Break -------------------------
Session 2:
2:00 – 2:30 PM Invited Talk - Natarajan Meghanathan, Jackson State University, USA
2:30 – 3:00 PM Machine Learning based Cryptocurrency Price Prediction using Historical Data and Social Media Sentiment
Saachin Bhatt, Mustansar Ghazanfar, and Mohammad Hossein Amirhosseini (University of East London, United Kingdom)
3:00 – 3:30 PM A Dual Band Printed F-Antenna using a Trap With Small Band Separation
Prasad Samudrala, Justin Jose, and Amit Kulkarni (Honeywell Building Technologies, India)
3:30 – 4:00 PM Linear and Non-Linear Barrier Coverage in Deterministic and Uncertain Environment in WSNs: A New Classification
Adda Boualem, Djahida Taibi and Aroua Ammar (Ibn Khaldoun University, Algeria)
4:00 – 4:30 PM Energy Optimization in Wireless Sensor Networks for Forest Fire Detection: A Study of Sleep Scheduling Techniques
Manar Khalid Ibraheem, Mbarka Belhaj Mohamed and Ahmed Fakhfakh (Digital Research Center of Sfax (CRNS), Iraq)
4:30 – 5:00 PM Business during COVID: An IOT (Internet of Things) based Automated Sand Truck Management Solution
Lakmali Karunarathne, Swathi Ganesan and Dr Nalinda Somasiri (York St John University, United Kingdom)
June 18, 2023
Session 3:
Session Chair : Lakmali Karunarathne (York St John University, United Kingdom)
10.00 – 10.30 AM
CNN's Resnet, YOLO, and Faster R-CNN Architectures on the Disease and Pest Classification of Local Agricultural Vegetables Towards Sustainable Production
Loyd S Echalar and Arnel C. Fajardo (Technological Institute of the Philippine, Philippines)
10:30 – 11:00 AM
Revolutionizing Healthcare with AI: Predicting Future Medication Models and Improving Patient Outcomes
James Wang (USA) and Ang Li ( California State Polytechnic University, USA)
11:00 – 11:30 AM Sequential Recommendation Model for Next Purchase Prediction
XinChen, Alex Reibman and Sanjay Arora (Ernst & Young LLP, USA)
11:30 – 12:00 PM ------------------------ Tea Break -------------------------
12:00 – 12:30 PM Optimised Association Rule Mining for Health Data
Purnima Das, John F. Roddick, Patricia A. H. Williams (Flinders University, Austra) and Mehwish Nasim (Flinders University, Australia, The University of Western Australia, Australia)
12:30 – 1:00 PM Towards Streamlined Club Management: Integrating Communication and Management in a Centralized Application
Zhongshun Rao (USA) and Victor Phan (California State Polytechnic University, USA)
1:00 – 2:00 PM ------------------------ Lunch Break -------------------------
Session 4:
Session Chair : Swathi Ganesan (York St John University, United Kingdom)
2:00 – 2:30 PM Code2Drive: A Code-Based Interactiveand Educational Driving Environment for Improving the Youth Driving Learning and Training using Machine Learning
Zihao Lin (USA) and Jonathan Sahagun (California State Polytechnic University, USA)
2:30 – 3:00 PM HealthPet: Harnessing the Power of Virtual Pets to Motivate Exercise and Promote Active Lifestyles
Long Chen (USA) and Andrew Park (California State Polytechnic University, USA)
3:00 – 3:30 PM A Helpful Program to Encourage the user to Engage in Physical Activity using Flutter, a Reward System using Firebase and Healthkit API
Chunwei Shi (USA) and Andrew Park (California State Polytechnic University, USA)
----------------------- To be Continued --------------