Open Science Research Excellence

ICMMAM 2020 : International Conference on Machining and Machinability of Advanced Materials

London, United Kingdom
November 19 - 20, 2020

Conference Code: 20UK11ICMMAM

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

ICMMAM 2020 has teamed up with the Special Journal Issue on Machining and Machinability of Advanced Materials. 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   July 14, 2020
Notification of Acceptance/Rejection   July 27, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   October 20, 2020
Conference Dates   November 19 - 20, 2020

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) Lung Cancer Detection and Multi Level Classification Using Discrete Wavelet Transform Approach
V. Veeraprathap, G. S. Harish, G. Narendra Kumar
2) Influence of Selected Finishing Technologies on the Roughness Parameters of Stainless Steel Manufactured by Selective Laser Melting Method
J. Hajnys, M. Pagac, J. Petru, P. Stefek, J. Mesicek, J. Kratochvil
3) The Potential of Tempo-Oxidized Cellulose Nanofibers to Replace Ethylene-Propylene-Diene Monomer Rubber
S. Dikmen Kucuk, A. Tozluoglu, Y. Guner
4) Stress Distribution in Axisymmetric Indentation of an Elastic Layer-Substrate Body
Kotaro Miura, Makoto Sakamoto, Yuji Tanabe
5) Normal and Peaberry Coffee Beans Classification from Green Coffee Bean Images Using Convolutional Neural Networks and Support Vector Machine
Hira Lal Gope, Hidekazu Fukai
6) Convergence Analysis of Training Two-Hidden-Layer Partially Over-Parameterized ReLU Networks via Gradient Descent
Zhifeng Kong
7) Simplified Stress Gradient Method for Stress-Intensity Factor Determination
Jeries J. Abou-Hanna
8) Smart Lean Manufacturing in the Context of Industry 4.0: A Case Study
M. Ramadan, B. Salah
9) An IM-COH Algorithm Neural Network Optimization with Cuckoo Search Algorithm for Time Series Samples
Wullapa Wongsinlatam
10) Metal Inert Gas Welding-Based-Shaped Metal Deposition in Additive Layered Manufacturing: A Review
Adnan A. Ugla, Hassan J. Khaudair, Ahmed R. J. Almusawi
11) Design for Metal Additive Manufacturing: An Investigation of Key Design Application on Electron Beam Melting
Wadea Ameen, Abdulrahman Al-Ahmari, Osama Abdulhameed
12) The Effect of Foreign Owned Firms and Licensed Manufacturing Agreements on Innovation: Case of Pharmaceutical Firms in Developing Countries
Ilham Benali, Nasser Hajji, Nawfal Acha
13) Performance Evaluation of Distributed Deep Learning Frameworks in Cloud Environment
Shuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang
14) Optimizing the Probabilistic Neural Network Training Algorithm for Multi-Class Identification
Abdelhadi Lotfi, Abdelkader Benyettou
15) Foot Recognition Using Deep Learning for Knee Rehabilitation
Rakkrit Duangsoithong, Jermphiphut Jaruenpunyasak, Alba Garcia

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