Venkateswarlu Gonuguntla

According to our database, Venkateswarlu Gonuguntla authored at least 17 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Utilizing YOLO Models for Real-World Scenarios: Assessing Novel Mixed Defect Detection Dataset in PCBs.

Vinod Kumar Ancha, Fadi N. Sibai, Venkateswarlu Gonuguntla, Ramesh Vaddi

IEEE Access, 2024

2022

Network based Identification of Dementia Onsets Using Structural MRI Network Signature.

Abdulyekeen T. Adebisi, Venkateswarlu Gonuguntla, Ho-Won Lee, Myong-Hun Hahm, Kalyana C. Veluvolu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Differential Identification of Prodromal Stages of Alzheimer's Disease Using Tissue Probability Map (TPM) based Network.

Abdulyekeen T. Adebisi, Venkateswarlu Gonuguntla, Ho-Won Lee, Kalyana C. Veluvolu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

A Low Voltage Discriminant Circuit for Pattern Recognition Exploiting the Asymmetrical Characteristics of Tunnel FET.

Aditya Japa, Palagani Yellappa, Venkateswarlu Gonuguntla, Manoj Kumar Majumder, Subhendu Kumar Sahoo, Jun Rim Choi, Ramesh Vaddi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Recognition of Event-associated Brain Functional Networks in EEG for Brain Network Based Applications.

Venkateswarlu Gonuguntla, Kalyana C. Veluvolu, Jae-Hun Kim

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Classification of Dementia Associated Disorders Using EEG based Frequent Subgraph Technique.

Abdulyekeen T. Adebisi, Venkateswarlu Gonuguntla, Ho-Won Lee, Kalyana C. Veluvolu

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

EEG based Functional Connectivity Analysis of Alzheimer's Disease Subjects.

P. P. Vijayakumaran, Daijiry Narzary, Venkateswarlu Gonuguntla, Ho-Won Lee, Kalyana C. Veluvolu

Proceedings of the 2020 International Conference on Artificial Intelligence in Information and Communication, 2020

EEG-Based Functional Connectivity Representation using Phase Locking Value for Brain Network Based Applications.

Venkateswarlu Gonuguntla, Jae-Hun Kim

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Identification of Dementia Related Brain Functional Networks with Minimum Spanning Trees.

Abdulyekeen T. Adebisi, Venkateswarlu Gonuguntla, Ho-Won Lee, Kalyana C. Veluvolu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2018

A Low-power Low-noise Open-loop Configured Signal Folding Neural Recording Amplifier.

Gauri Punekar, Venkateswarlu Gonuguntla, Palagani Yellappa, Jun Rim Choi, Ramesh Vaddi

Proceedings of the International SoC Design Conference, 2018

2016

Event-Related Functional Network Identification: Application to EEG Classification.

Venkateswarlu Gonuguntla, Yubo Wang, Kalyana C. Veluvolu

IEEE J. Sel. Top. Signal Process., 2016

Identification of emotion associated brain functional network with phase locking value.

Venkateswarlu Gonuguntla, Rammohan Mallipeddi, Kalyana C. Veluvolu

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

Human implicit intent recognition based on the phase synchrony of EEG signals.

Jun-Su Kang, Ukeob Park, Venkateswarlu Gonuguntla, Kalyana Chakravarthy Veluvolu, Minho Lee

Pattern Recognit. Lett., 2015

EEG classification of emotions using emotion-specific brain functional network.

Venkateswarlu Gonuguntla, Ghufran Shafiq, Yubo Wang, Kalyana C. Veluvolu

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2013

Performance Comparison of Spatial Filter with Multiple BMFLCs for BCI Applications.

Yubo Wang, Venkateswarlu Gonuguntla, Ghufran Shafiq, Kalyana C. Veluvolu

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Phase synchrony in subject-specific reactive band of EEG for classification of motor imagery tasks.

Venkateswarlu Gonuguntla, Y. Wang, Kalyana C. Veluvolu

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

BMFLC with neural network and DE for better event classification.

Yubo Wang, Venkateswarlu Gonuguntla, Ghufran Shafiq, Kalyana C. Veluvolu

Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013