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The two-volume set CCIS 2055-2056 constitutes the refereed proceedings of the First International Conference on Computing and Emerging Technologies, ICCET 2023, held in Lahore, Pakistan, during May 26-27, 2023.
The 50 full papers and 15 short papers included in this book were carefully reviewed and selected from 250 submissions. The papers focused on topics such as blockchain, data science, machine learning, artificial intelligence, and and offered in-depth analyses and practical implementations.
List of contents
Incube: The Project Repository Based on Blockchain.- Algorithm Trading Using Data Science.- Determining Student s Online Academic Performance Using Machine Learning Techniques.- User Experience (UX) Enrichment Through Digital Branding.- SDN-Enabled Resource and Energy Management Framework In Smart Buildings Using Los-Cost Air Quality Sensors.- Air Quality Predictions Using Machine Learning Models.- Implementation of IOT and WSN Technologies For Health Monitoring.- Breast Cancer Diagnosis Based on Deep Convolutional Neural Networks Using Image Clustering.- Driver Distraction Detection Using a Multi-Stream Deep Fusion Network.- Handwritten Character Recognition Using Fusion SVM-CNN.- Automated Skin Cancer Segmentation and Classification Based on Deep Learning.- Performance Analysis of Self-Adaptive User Interface for Mobile Users (Systematic Literature Review).- Sentiment Analysis of Twitter Posts On 5G Technology Using ML.- Applications Of Blockchain Technology in The Healthcare Industry.- Exploring Language Modeling Techniques for Improved Recommender Systems.- Machine Learning Based Approach to Secure Light Weight Devices.- GAPTCHA: A Game-Based Image-CAPTCHA.- A Comprehensive Survey on Software Defined Networking (SDN) Security.- Access Control Techniques for Cloud Computing: Review and Recommendations.- Linguistic Resources for Extremism Detection on Social Media.- Improved Pak Currency Identification For Blind And Visually Impaired People.- The Study of Agile Methodologies and Challenges in Software Requirements Engineering.- Predicting Heart Disease with Machine Learning: A Comparative Study of Classifiers.- Media Forensics and Deepfake - Systematic Survey.- A Convolutional Neural Network Approach for Mood Classification In Short Texts Using Character-Level Details And Local Text Structure.- Usability Approach of Distributed Database in Health Care System.- Audio Source Separation: Advances And Challenges.- A Survey on Approximate Hardware Accelerator for Error-Tolerant Applications.- Deep Learning Based Multi Focus Image Fusion.- SLR Based on Requirement Elicitation and Modeling in GSD.- An Efficient Machine Learning Technique for Prediction of Cardiovascular Disease.- Analysis And Development of Kids Cell Activities Monitoring App.
