Excellence in Research and Innovation for Humanity

ICMPTLP 2018 : 20th International Conference on Metallurgical Processing Technologies and Laser Processing

London, United Kingdom
June 28 - 29, 2018

Conference Code: 18UK06ICMPTLP

Conference Proceedings

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

Special Journal Issues

ICMPTLP 2018 has teamed up with the Special Journal Issue on Metallurgical Processing Technologies and Laser Processing. 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   May 15, 2018
Notification of Acceptance/Rejection   May 20, 2018
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   May 28, 2018
Conference Dates   June 28 - 29, 2018

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) Optimization of Air Pollution Control Model for Mining
Zunaira Asif, Zhi Chen
2) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
3) Evaluating 8D Reports Using Text-Mining
Benjamin Kuester, Bjoern Eilert, Malte Stonis, Ludger Overmeyer
4) Hybrid Knowledge Approach for Determining Health Care Provider Specialty from Patient Diagnoses
Erin Lynne Plettenberg, Jeremy Vickery
5) An Improved K-Means Algorithm for Gene Expression Data Clustering
Billel Kenidra, Mohamed Benmohammed
6) CoP-Networks: Virtual Spaces for New Faculty’s Professional Development in the 21st Higher Education
Eman AbuKhousa, Marwan Z. Bataineh
7) A Dataset of Program Educational Objectives Mapped to ABET Outcomes: Data Cleansing, Exploratory Data Analysis and Modeling
Addin Osman, Anwar Ali Yahya, Mohammed Basit Kamal
8) Text Mining of Twitter Data Using a Latent Dirichlet Allocation Topic Model and Sentiment Analysis
Sidi Yang, Haiyi Zhang
9) Road Traffic Accidents Analysis in Mexico City through Crowdsourcing Data and Data Mining Techniques
Gabriela V. Angeles Perez, Jose Castillejos Lopez, Araceli L. Reyes Cabello, Emilio Bravo Grajales, Adriana Perez Espinosa, Jose L. Quiroz Fabian
10) Development of Prediction Models of Day-Ahead Hourly Building Electricity Consumption and Peak Power Demand Using the Machine Learning Method
Dalin Si, Azizan Aziz, Bertrand Lasternas
11) Application of Data Mining Techniques for Tourism Knowledge Discovery
Teklu Urgessa, Wookjae Maeng, Joong Seek Lee
12) An Improvement of Multi-Label Image Classification Method Based on Histogram of Oriented Gradient
Ziad Abdallah, Mohamad Oueidat, Ali El-Zaart
13) Quantification of GHGs Emissions from Electricity and Diesel Fuel Consumption in Basalt Mining Industry in Thailand
S. Kittipongvises, A. Dubsok
14) Summarizing Data Sets for Data Mining by Using Statistical Methods in Coastal Engineering
Yunus Doğan, Ahmet Durap
15) Incremental Learning of Independent Topic Analysis
Takahiro Nishigaki, Katsumi Nitta, Takashi Onoda

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