Open Science Research Excellence

ICAPTM 2022 : International Conference on Advances in Port and Terminal Management

Vienna, Austria
June 21 - 22, 2022

Conference Code: 22AT06ICAPTM

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

ICAPTM 2022 has teamed up with the Special Journal Issue on Advances in Port and Terminal Management. 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 31, 2021
Notification of Acceptance/Rejection   June 15, 2021
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   May 20, 2022
Conference Dates   June 21 - 22, 2022

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) A Comparative Study on Achievement Motivation and Sports Competition Anxiety among the Students of Different Tier of Academic Hierarchy
Nitai Biswas, Prasenjit Kapas, Arumay Jana, Asish Paul
2) The Women Entrepreneur Support Fund in Bangladesh: Challenges and Prospects
Chowdhury Dilruba Shoma
3) Multi-Criteria Based Robust Markowitz Model under Box Uncertainty
Pulak Swain, A. K. Ojha
4) Influence of Sports Participation on Academic Performance among Afe Babalola University Student-Athletes
B. O. Diyaolu
5) Impairments Correction of Six-Port Based Millimeter-Wave Radar
Dan Ohev Zion, Alon Cohen
6) An Approach for Ensuring Data Flow in Freight Delivery and Management Systems
Aurelija Burinskienė, Dalė Dzemydienė, Arūnas Miliauskas
7) Exploring Causes of Homelessness and Shelter Entry: A Case Study Analysis of Shelter Data in New York
Lindsay Fink, Sarha Smith-Moyo, Leanne W. Charlesworth
8) A Mixed-Methods Approach to Developing and Evaluating an SME Business Support Model for Innovation in Rural England
Steve Fish, Chris Lambert
9) Assessment of Negative Impacts Affecting Public Transportation Modes and Infrastructure in Burgersfort Town towards Building Urban Sustainability
Ntloana Hlabishi Peter
10) Journey to Cybercrime and Crime Opportunity: Quantitative Analysis of Cyber Offender Spatial Decision Making
Sinchul Back, Sun Ho Kim, Jennifer LaPrade, Ilju Seong
11) Pension Plan Member’s Investment Strategies with Transaction Cost and Couple Risky Assets Modelled by the O-U Process
Udeme O. Ini, Edikan E. Akpanibah
12) Integrated Social Support through Social Networks to Enhance the Quality of Life of Metastatic Breast Cancer Patients
B. Thanasansomboon, S. Choemprayong, N. Parinyanitikul, U. Tanlamai
13) A Structural Support Vector Machine Approach for Biometric Recognition
Vishal Awasthi, Atul Kumar Agnihotri
14) 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
15) Normal and Peaberry Coffee Beans Classification from Green Coffee Bean Images Using Convolutional Neural Networks and Support Vector Machine
Hira Lal Gope, Hidekazu Fukai

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