Volume 12 Number 21 - 3rd International Conference on Machine Learning Techniques and Data Science (MLDS 2022)

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Volume 12, Number 21, November 2022

3^rd 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