Open Science Research Excellence

ICBMSHEV 2020 : International Conference on Battery Management Systems and Hybrid Electric Vehicles

Vancouver, Canada
September 23 - 24, 2020

Conference Code: 20CA09ICBMSHEV

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

ICBMSHEV 2020 has teamed up with the Special Journal Issue on Battery Management Systems and Hybrid Electric Vehicles. 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   April 15, 2020
Notification of Acceptance/Rejection   April 30, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   August 26, 2020
Conference Dates   September 23 - 24, 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) Predicting the Success of Bank Telemarketing Using Artificial Neural Network
Mokrane Selma
2) Real-Time Episodic Memory Construction for Optimal Action Selection in Cognitive Robotics
Deon de Jager, Yahya Zweiri, Dimitrios Makris
3) Lung Cancer Detection and Multi Level Classification Using Discrete Wavelet Transform Approach
V. Veeraprathap, G. S. Harish, G. Narendra Kumar
4) Research of Amplitude-Frequency Characteristics of Nonlinear Oscillations of the Interface of Two-Layered Liquid
Win Ko Ko, A. N. Temnov
5) Optimal Distributed Generator Sizing and Placement by Analytical Method and PSO Algorithm Considering Optimal Reactive Power Dispatch
Kyaw Myo Lin, Pyone Lai Swe, Khine Zin Oo
6) The Principle Probabilities of Space-Distance Resolution for a Monostatic Radar and Realization in Cylindrical Array
Anatoly D. Pluzhnikov, Elena N. Pribludova, Alexander G. Ryndyk
7) An IM-COH Algorithm Neural Network Optimization with Cuckoo Search Algorithm for Time Series Samples
Wullapa Wongsinlatam
8) Performance Evaluation of Distributed Deep Learning Frameworks in Cloud Environment
Shuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang
9) From Electroencephalogram to Epileptic Seizures Detection by Using Artificial Neural Networks
Gaetano Zazzaro, Angelo Martone, Roberto V. Montaquila, Luigi Pavone
10) Development of Equivalent Inelastic Springs to Model C-Devices
Oday Al-Mamoori, J. Enrique Martinez-Rueda
11) Recent Trends on Security Constrained Economic Dispatch: A Bibliographic Review
Shewit Tsegaye, Fekadu Shewarega
12) Stochastic Modeling for Parameters of Modified Car-Following Model in Area-Based Traffic Flow
N. C. Sarkar, A. Bhaskar, Z. Zheng
13) Foot Recognition Using Deep Learning for Knee Rehabilitation
Rakkrit Duangsoithong, Jermphiphut Jaruenpunyasak, Alba Garcia
14) Optimizing the Probabilistic Neural Network Training Algorithm for Multi-Class Identification
Abdelhadi Lotfi, Abdelkader Benyettou
15) A Generalized Sparse Bayesian Learning Algorithm for Near-Field Synthetic Aperture Radar Imaging: By Exploiting Impropriety and Noncircularity
Pan Long, Bi Dongjie, Li Xifeng, Xie Yongle

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