Open Science Research Excellence

ICCHML 2021 : International Conference on Computer Hardware and Machine Learning

Beijing, China
October 6 - 7, 2021

Conference Code: 21CN10ICCHML

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICCHML 2021 has teamed up with the Special Journal Issue on Computer Hardware and Machine Learning. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   April 29, 2021
Notification of Acceptance/Rejection   May 13, 2021
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   September 6, 2021
Conference Dates   October 6 - 7, 2021

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Feature Analysis of Predictive Maintenance Models
Zhaoan Wang
2) Performance Analysis of Traffic Classification with Machine Learning
Htay Htay Yi, Zin May Aye
3) Investigation of the Unbiased Characteristic of Doppler Frequency to Different Antenna Array Geometries
Somayeh Komeylian
4) A Second Look at Gesture-Based Passwords: Usability and Vulnerability to Shoulder-Surfing Attacks
Lakshmidevi Sreeramareddy, Komalpreet Kaur, Nane Pothier
5) Hybrid Antenna Array with the Bowtie Elements for Super-Resolution and 3D Scanning Radars
Somayeh Komeylian
6) An Application for Risk of Crime Prediction Using Machine Learning
Luis Fonseca, Filipe Cabral Pinto, Susana Sargento
7) Comparing Machine Learning Estimation of Fuel Consumption of Heavy-Duty Vehicles
Victor Bodell, Lukas Ekstrom, Somayeh Aghanavesi
8) Machine Learning Facing Behavioral Noise Problem in an Imbalanced Data Using One Side Behavioral Noise Reduction: Application to a Fraud Detection
Salma El Hajjami, Jamal Malki, Alain Bouju, Mohammed Berrada
9) Machine Learning Development Audit Framework: Assessment and Inspection of Risk and Quality of Data, Model and Development Process
Jan Stodt, Christoph Reich
10) Model of Optimal Centroids Approach for Multivariate Data Classification
Pham Van Nha, Le Cam Binh
11) A Review in Advanced Digital Signal Processing Systems
Roza Dastres, Mohsen Soori
12) A Machine Learning Approach for Anomaly Detection in Environmental IoT-Driven Wastewater Purification Systems
Giovanni Cicceri, Roberta Maisano, Nathalie Morey, Salvatore Distefano
13) The Role of Optimization and Machine Learning in e-Commerce Logistics in 2030
Vincenzo Capalbo, Gianpaolo Ghiani, Emanuele Manni
14) Attribute Analysis of Quick Response Code Payment Users Using Discriminant Non-negative Matrix Factorization
Hironori Karachi, Haruka Yamashita
15) Improving Fake News Detection Using K-means and Support Vector Machine Approaches
Kasra Majbouri Yazdi, Adel Majbouri Yazdi, Saeid Khodayi, Jingyu Hou, Wanlei Zhou, Saeed Saedy

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