Open Science Research Excellence

ICBIED 2020 : International Conference on Biologically Inspired Engineering and Design

Melbourne, Australia
February 3 - 4, 2020

Conference Code: 20AU02ICBIED

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

ICBIED 2020 has teamed up with the Special Journal Issue on Biologically Inspired Engineering and Design. 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   August 1, 2019
Notification of Acceptance/Rejection   August 15, 2019
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   January 4, 2020
Conference Dates   February 3 - 4, 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) A Mean–Variance–Skewness Portfolio Optimization Model
Kostas Metaxiotis
2) An IM-COH Algorithm Neural Network Optimization with Cuckoo Search Algorithm for Time Series Samples
Wullapa Wongsinlatam
3) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
4) ELISA Based hTSH Assessment Using Two Sensitive and Specific Anti-hTSH Polyclonal Antibodies
Maysam Mard-Soltani, Mohamad Javad Rasaee, Saeed Khalili, Abdol Karim Sheikhi, Mehdi Hedayati
5) Identification of Disease Causing DNA Motifs in Human DNA Using Clustering Approach
G. Tamilpavai, C. Vishnuppriya
6) Electricity Price Forecasting: A Comparative Analysis with Shallow-ANN and DNN
Fazıl Gökgöz, Fahrettin Filiz
7) Meta-Learning for Hierarchical Classification and Applications in Bioinformatics
Fabio Fabris, Alex A. Freitas
8) Load Forecasting Using Neural Network Integrated with Economic Dispatch Problem
Mariyam Arif, Ye Liu, Israr Ul Haq, Ahsan Ashfaq
9) A Neural Network Classifier for Estimation of the Degree of Infestation by Late Blight on Tomato Leaves
Gizelle K. Vianna, Gabriel V. Cunha, Gustavo S. Oliveira
10) Intellectual Property Protection of CRISPR Related Technologies
Zheng Miao, Dennis Fernandez
11) A Neuro-Automata Decision Support System for the Control of Late Blight in Tomato Crops
Gizelle K. Vianna, Gustavo S. Oliveira, Gabriel V. Cunha
12) Method of Cluster Based Cross-Domain Knowledge Acquisition for Biologically Inspired Design
Shen Jian, Hu Jie, Ma Jin, Peng Ying Hong, Fang Yi, Liu Wen Hai
13) A Comparative Analysis of Artificial Neural Network and Autoregressive Integrated Moving Average Model on Modeling and Forecasting Exchange Rate
Mogari I. Rapoo, Diteboho Xaba
14) Massively-Parallel Bit-Serial Neural Networks for Fast Epilepsy Diagnosis: A Feasibility Study
Si Mon Kueh, Tom J. Kazmierski
15) Discriminant Analysis as a Function of Predictive Learning to Select Evolutionary Algorithms in Intelligent Transportation System
Jorge A. Ruiz-Vanoye, Ocotlán Díaz-Parra, Alejandro Fuentes-Penna, Daniel Vélez-Díaz, Edith Olaco García

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