Publications

Publications in Journals

1. Balam, Venkata Phanikrishna, and Suchismitha Chinara. "Statistical Channel Selection Method for Detecting Drowsiness Through Single-Channel EEG-Based BCI System." IEEE Transactions on Instrumentation and Measurement 70 (2021): 1-9. DoI: https://doi.org/10.1109/TIM.2021.3094619 (Publisher: IEEE Transaction, Published data: 05-July-2021, ISSN: 0018-9456,  IF: 5.6, Indexed in: SCI, Citations: 10)

2. Balam, Venkata Phanikrishna, and Suchismitha Chinara. "Development of single-channel electroencephalography signal analysis model for real-time drowsiness detection." Physical and Engineering Sciences in Medicine 44(3): 713-726 (2021): 1-14. DoI: https://doi.org/10.1007/s13246-021-01020-3 (Publisher : Springer, Published data: 31-May-2021, ISSN: 2662-4737, IF: 4.4, Indexed in: SCI, Citations: 3)

3. Venkata Phanikrishna, B., Jaya Prakash, A., & Suchismitha, C. (2023). Deep Review of Machine Learning Techniques on Detection of Drowsiness Using EEG Signal. IETE Journal of Research 69(6), 3104-3119.  DoI: https://doi.org/10.1080/03772063.2021.1913070 (Publisher : Taylor & Francis, Published Online: 05-May-2021, Published Print: 18-August-2023, ISSN: 0377-2063, IF: 1.24, Indexed in  SCI, Citations: 10)

4.   Balam, Venkata Phanikrishna, Venkata Udaya Sameer, and Suchismitha Chinara. "Automated classification system for drowsiness detection using convolutional neural network and electroencephalogram." IET Intelligent Transport Systems 15, no. 4 (2021): 514-524, DoI: https://doi.org/10.1049/itr2.12041   (Publisher : Wiley, Published data: 23-Feb-2021, ISSN: 1751-9578, IF: 2.496, Indexed in: SCI, Citations: 16)

5. Venkata Phanikrishna B & Suchismita Chinara. Automatic Classification Methods for Detecting Drowsiness using Wavelet Packet Transform extracted time-domain features from Single-channel EEG Signal. Journal of Neuroscience Methods, 347, 2020.  DoI: https://doi.org/10.1016/j.jneumeth.2020.108927 ; (Publisher : Elsevier, Published data: 14-Sep-2020, ISSN: 0165-0270, IF: 3, Indexed in  SCI, Citations: 47)

6. B, Raviteja and Mahapatra, S Sankar and Singh, M Ranjan and Balusa, Bhanu Chandar and S, Purusotham and Balam, Venkata Phanikrishna. Improved TLBO and JAYA algorithms to solve new fuzzy flexible job-shop scheduling problems. Journal of Industrial Engineering International, 18, 102-114, 2023.  DoI: https://doi.org/10.30495/jiei.2023.1935150.1142 ; (Publisher : Islamic Azad University, South Tehran Branch, Published data: 03-Dec-2023, ISSN: 1735-5702, Indexed in  SCOPUS)

7.  Venkata phanikrishna B and Srinivasarao “A Novel Technique for Creative Problem-Solving by using Q-learning and Association algorithm” International Journal of Research in Computer and Communication Technology, Vol 3, Issue 8, August 2014.

Publications in Book Chapters

1. Venkata Phanikrishna B & Suchismita Chinara, Analysis of EEG signal for drowsy detection: A machine learning approach. in Soft Computing in Interdisciplinary Sciences, Springer  DoI: https://doi.org/10.1007/978-981-16-4713-0_7  (Publisher : Springer Published data: 02-Nov-2021, ISBN: 978-981-16-4713-0)

Publications in Conferences

1. 1. Venkata Phanikrishna B & Suchismita Chinara. Time Domain Parameters as a feature for single-channel EEG-based drowsiness detection method. 2020 SCEECS, IEEE, MANIT, Bhopal, India, Feb. 22-23, 2020. DOI: https://doi.org/10.1109/SCEECS48394.2020.61 (Publisher : IEEE; Published data: 07-May-2020; ISSN: 2688-0288; ISBN:978-1-7281-4862-5 Citations: 11)

   2.  Venkata phanikrishna B., Suchismita Chinara., & Mahasweta Sarkar.(2018). Drowsiness detection by analysis of EEG signal with the help of Machine Learning. ADCOM-2018, Advanced Computing and Communications Society (ACCS), IIIT, Bangalore, India, Sep. 21-23, 2018. Available at: https://accsindia.org/downloads/ADCOM-2018-papers/ADCOM_2018_paper_62.pdf (Publisher: Advanced Computing and Communications Society (ACCS); Published data: 27-Oct-2018; ISBN 978-93-5321-421-0 Citations: 3)

   3.  B V Phanikrishna And K Surya Ram Prasad, A Novel Framework for Privacy Conserving Data Publishing and Handling High Dimensional , Two day National Conference on Advanced Trends and Challenges in Computer Science and Applications, Organized by: Shree Vishnu Engineering College for Women, Bhimavaram A.P.Schedule: 18-19 March 2014, published in  International Journal of Advanced Research in Computer Science, Vol 5, Issue 2, 2014.  Available at: http://www.ijarcs.info/index.php/Ijarcs/article/view/2025  and http://www.ijarcs.info/index.php/Ijarcs/article/view/2025/2013