Open Science Research Excellence

ICABBEA 2022 : International Conference on Advanced Bioinformatics and Biomedical Engineering Applications

Singapore, SG
September 9 - 10, 2022

Conference Code: 22SG09ICABBEA

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

ICABBEA 2022 has teamed up with the Special Journal Issue on Advanced Bioinformatics and Biomedical Engineering Applications. 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   November 3, 2020
Notification of Acceptance/Rejection   November 17, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   May 10, 2022
Conference Dates   September 9 - 10, 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) Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
2) Resource Leveling Optimization in Construction Projects of High Voltage Substations Using Nature-Inspired Intelligent Evolutionary Algorithms
Dimitrios Ntardas, Alexandros Tzanetos, Georgios Dounias
3) Machine Learning Techniques in Bank Credit Analysis
Fernanda M. Assef, Maria Teresinha A. Steiner
4) AniMoveMineR: Animal Behavior Exploratory Analysis Using Association Rules Mining
Suelane Garcia Fontes, Silvio Luiz Stanzani, Pedro L. Pizzigatti Corrła Ronaldo G. Morato
5) Constant Factor Approximation Algorithm for p-Median Network Design Problem with Multiple Cable Types
Chaghoub Soraya, Zhang Xiaoyan
6) From Electroencephalogram to Epileptic Seizures Detection by Using Artificial Neural Networks
Gaetano Zazzaro, Angelo Martone, Roberto V. Montaquila, Luigi Pavone
7) A Mean–Variance–Skewness Portfolio Optimization Model
Kostas Metaxiotis
8) Using Textual Pre-Processing and Text Mining to Create Semantic Links
Ricardo Avila, Gabriel Lopes, Vania Vidal, Jose Macedo
9) Predictive Analysis for Big Data: Extension of Classification and Regression Trees Algorithm
Ameur Abdelkader, Abed Bouarfa Hafida
10) A Bayesian Classification System for Facilitating an Institutional Risk Profile Definition
Roman Graf, Sergiu Gordea, Heather M. Ryan
11) Evaluation of Settlement of Coastal Embankments Using Finite Elements Method
Sina Fadaie, Seyed Abolhassan Naeini
12) Developing Structured Sizing Systems for Manufacturing Ready-Made Garments of Indian Females Using Decision Tree-Based Data Mining
Hina Kausher, Sangita Srivastava
13) The Whale Optimization Algorithm and Its Implementation in MATLAB
S. Adhirai, R. P. Mahapatra, Paramjit Singh
14) Problems and Prospects of Agricultural Biotechnology in Nigeria’s Developing Economy
Samson Abayomi Olasoju, Olufemi Adekunle, Titilope Edun, Johnson Owoseni
15) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif

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