Academy & Industry Research Collaboration Center (AIRCC)

Volume 12, Number 21, November 2022

Machine Learning Techniques and Data Science
3rd International Conference on Machine Learning Techniques and Data Science (MLDS 2022)
November 26-27, 2022, London, United Kingdom
Volume Editors : David C. Wyld, Dhinaharan Nagamalai (Eds)
ISBN : 978-1-925953-81-7

Depression Detection using Machine and Deep Learning Models to Assess
Mental Health of Social Media Users 
Smita Ghosh1, Sneha Ghosh2, Diptaraj Sen2 and Pramita Das3, 1Santa Clara University,
USA, 2University of Engineering and Management, India,
3National Institute of Technology Durgapur, India

SmartCarbs: An Intelligent Mobile Application to Assist Diet Control using
Artificial Intelligence and Computer Vision 
Olivia Lee1 Yu Sun2, 1USA, 2California State Polytechnic University, USA

An Object Detection and its Educational Effect on Aspiring Film Directors using
Computer Vision and Machine Learning 
Fengrong Han1 and Ang Li2, 1USA, 2California State University, USA

Generic Question Classification for Dialogue Systems 
Marine Troadec, Matthis Houles and Philippe Blache, LPL-CNRS, ILCB,
Aix-en-Provence, France

Ambiguity Detection in Requirements Classification Task using Fine-Tuned
Transformation Technique 
Sadeen Alharbi, King Saud University, Saudi Arabia

Impact of Automatic Image Classification and Blind Deconvolution in
Improving Text Detection Performance of the Craft Algorithm 
Clarisa V. Albarillo1 and Proceso L. Fernandez Jr.2, 1Don Mariano Marcos
Memorial State University, Philippines, 2Ateneo de Manila University, Philippines

A Comprehensive Study on Machine Learning Methods to Increase the
Prediction Accuracy of Classifiers and Reduce the Number of
Medical Tests Required to Diagnose Alzheimer's Disease 
Md. Sharifur Rahman and Girijesh Prasad, Ulster University, UK

Research on the Image Segmentation by Watershed Transforms 
Sidi Ahmed Taouli, University Aboubekr-Belkaid, Algeria

Client Side Dynamic Aspect Ratio Based on Automated AI Analysis 
Njål Borch and Ingar Arntzen, NORCE Northern research institute, Norway

Towards Tuberculosis Incidence Time Series Forecasting in Colombian
Regions: The Antioquia Case 
Ivan Camilo Sanchez-Vega1, Alvaro David Orjuela-Cañon2, Carlos Enrique Awad Garcia3,
Erika Vergara4, Maria Angelica Palencia3 and Andres L. Jutinico1,
1Universidad Antonio NarinoColombia, 2Universidad del Rosario, Colombia,
3Subred Integrada de Servicios de Salud Centro Oriente, Colombia,
4Universidad Antonio Narino, Colombia