Volume 11 Number 14 - 2nd International Conference on Machine Learning Techniques and NLP (MLNLP 2021)

Volume 11, Number 14, September 2021

2^nd International Conference on Machine Learning Techniques and NLP (MLNLP 2021), September 18 ~ 19, 2021, Copenhagen, Denmark

Volume Editors : David C. Wyld, Dhinaharan Nagamalai (Eds)
ISBN : 978-1-925953-48-0

Introducing the Viewpoint in the Resource Description using Machine Learning

Ouahiba Djama, University of Abdelhamid Mehri Constantine 2, Algeria

SmartBark: An Automated Dog Barking Detection and Monitoring System using AI and Deep Learning

Xiangjian Liu¹, Yishan Zou² and Yu Sun³, ¹USA, ²University of Pennsylvania, USA, ³California State Polytechnic University, USA

An Ml-Based Memory Leak Detection Scheme for Network Devices

Minghui Wang, Jiangxuan Xie, Xinan Yang, Xiangqiao Ao, AI Research Institute, H3C Technology Co., Ltd, China

An Intelligent Drone System to Automate the Avoidance of Collison using AI and Computer Vision Techniques

Steven Zhang¹ and Yu Sun², ¹USA, ²California State Polytechnic University, USA

Baby Cry Classifications using Deep Learning

Shane Grayson and Wilson Zhu, USA

Building a Smart Mirror for the Purposes of Increased Productivity and Better Mental Health, Complete with an App

Jonathan Liu¹ and Yu Sun², ¹USA, ²California State Polytechnic University, USA

DMC: Decentralized Mixer with Channel for Transaction Privacy Protection on Ethereum

Su Liu and Jian Wang, Nanjing University of Aeronautics and Astronautics, China

Creating Multi-Scripts Sentiment Analysis Lexicons for Algerian, Moroccan and Tunisian Dialects

K. Abidi and K. Smaili, Loria - University Lorraine, France

An Intelligent and Interactive Gaming System to Promote Environment Awareness using Context-Based Storying

Yilin Luo¹ and Yu Sun², ¹USA, ²California State Polytechnic University, USA

Sentiment Analysis of Covid-19 Vaccine Responses in Mexico

Jessica Salinas, Carlos Flores, Hector Ceballos and Francisco Cantu, Tecnologico de Monterrey, Mexico

An Anxiety and Stress Reducing Platform based on Minigames and Emotional Release using Machine Learning and Big Data Analysis

Selina Gong¹, John Morris² and Yu Sun², ¹USA, ²California State Polytechnic University, USA

An Automated Analytics Engine for College Program Selection using Machine Learning and Big Data Analysis

Jinhui Yu, Xinyu Luan and Yu Sun, California State Polytechnic University, USA

Mask Region-Based Convolutional Neural Networks (R-CNN) for Sinhala Sign Language to Text Conversion

R. D. Rusiru Sewwantha¹ and T. N. D. S. Ginige², ¹University of Central Lancashire, Sri Lanka, ²Universal College Lanka, Sri Lanka

A Multi-Input Multi-Output Transformer-Based Hybrid Neural Network for Multi-Class Privacy Disclosure Detection

A K M Nuhil Mehdy and Hoda Mehrpouyan, Boise State University, USA

Subtractive Mountain Clustering Algorithm Applied to a Chatbot to Assist Elderly People in Medication Intake

Neuza Claro, Paulo A. Salgado, and T-P Azevedo Perdicoulis, Universidade de Tras-os-Montes e Alto Douro, Portugal

Tipping the Scales: A Corpus-Based Reconstruction of Adjective Scales in the McGill Pain Questionnaire

Miriam Stern, Princeton University, USA

A Self-Supervised Tibetan-Chinese Vocabulary Alignment Method based on Adversarial Learning

Enshuai Hou and Jie zhu, Tibet University, China

Industrial Big Data Analytics and Cyber-Physical Systems for Future Maintenance & Service Innovation

Temitope O Awodiji, California Miramar University, USA

Prediction of Vaccination Side-Effects using Deep Learning

Farhan Uz Zaman, Tanvinur Rahman Siam and Zulker Nayen, BRAC University, Bangladesh

End-to-End Chinese Dialect Discrimination with Self-Attention

Yangjie Dan, Fan Xu, Mingwen Wang, Jiangxi Normal University, China

Online Assessment of English for Specific Purposes

Renáta Nagy and Dr. Vilmos Warta, University of Pécs, Hungary

Low-Resource Named Entity Recognition without Human Annotation

Zhenshan Bao, Yuezhang Wang and Wenbo Zhang, Beijing University of Technology, China

An Intelligent Mobile Application to Automate the Analysis of Food Calorie using Artificial Intelligence and Deep Learning

Yongqing Yu¹, Yishan Zou² and Yu Sun³, ¹BASIS International School Park Lane Harbour, China, ²University of Pennsylvania, USA, ³California State Polytechnic University,USA

Applying AI and Big Data for Sensitive Operations and Disaster Management

Yew Kee Wong, HuangHuai University, China

CS&IT Conference Proceedings

2nd International Conference on Machine Learning Techniques and NLP (MLNLP 2021), September 18 ~ 19, 2021, Copenhagen, Denmark

Volume Editors : David C. Wyld, Dhinaharan Nagamalai (Eds) ISBN : 978-1-925953-48-0

Introducing the Viewpoint in the Resource Description using Machine Learning

SmartBark: An Automated Dog Barking Detection and Monitoring System using AI and Deep Learning

An Ml-Based Memory Leak Detection Scheme for Network Devices

An Intelligent Drone System to Automate the Avoidance of Collison using AI and Computer Vision Techniques

Baby Cry Classifications using Deep Learning

Building a Smart Mirror for the Purposes of Increased Productivity and Better Mental Health, Complete with an App

Ensemble Creation using Fuzzy Similarity Measures and Feature Subset Evaluators

A Deep Learning based Approach to Argument Recommendation

Dealing Crisis Management using AI

High-Frequency Cryptocurrency Trading Strategy using Tweet Sentiment Analysis

A Comparative Framework for Evaluating Consensus Algorithms for Blockchains

DMC: Decentralized Mixer with Channel for Transaction Privacy Protection on Ethereum

Creating Multi-Scripts Sentiment Analysis Lexicons for Algerian, Moroccan and Tunisian Dialects

An Intelligent and Interactive Gaming System to Promote Environment Awareness using Context-Based Storying

Sentiment Analysis of Covid-19 Vaccine Responses in Mexico

An Anxiety and Stress Reducing Platform based on Minigames and Emotional Release using Machine Learning and Big Data Analysis

An Automated Analytics Engine for College Program Selection using Machine Learning and Big Data Analysis

Mask Region-Based Convolutional Neural Networks (R-CNN) for Sinhala Sign Language to Text Conversion

A Multi-Input Multi-Output Transformer-Based Hybrid Neural Network for Multi-Class Privacy Disclosure Detection

Subtractive Mountain Clustering Algorithm Applied to a Chatbot to Assist Elderly People in Medication Intake

Tipping the Scales: A Corpus-Based Reconstruction of Adjective Scales in the McGill Pain Questionnaire

A Self-Supervised Tibetan-Chinese Vocabulary Alignment Method based on Adversarial Learning

Industrial Big Data Analytics and Cyber-Physical Systems for Future Maintenance & Service Innovation

Prediction of Vaccination Side-Effects using Deep Learning

End-to-End Chinese Dialect Discrimination with Self-Attention

Online Assessment of English for Specific Purposes

Low-Resource Named Entity Recognition without Human Annotation

An Intelligent Mobile Application to Automate the Analysis of Food Calorie using Artificial Intelligence and Deep Learning

Applying AI and Big Data for Sensitive Operations and Disaster Management

2^nd International Conference on Machine Learning Techniques and NLP (MLNLP 2021), September 18 ~ 19, 2021, Copenhagen, Denmark

Volume Editors : David C. Wyld, Dhinaharan Nagamalai (Eds)
ISBN : 978-1-925953-48-0