- Publications & Citations

vit chennai

0H指数

106论文数

0被引数

收录论文 16

发表时间

An Explainable Machine Learning Network for Classification of Autism Spectrum Disorder Using Optimal Frequency Band Identification From Brain EEG

IEEE ACCESS

IF3.6

2025-01-01

OAAI

Saranya, S.; Menaka, R.

A Quantum-Based Machine Learning Approach for Autism Detection Using Common Spatial Patterns of EEG Signals

IEEE ACCESS

IF3.6

2025-01-01

OAAI

Saranya, S.; Menaka, R.

GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification (vol 12, pg 19612, 2024)

IEEE ACCESS

IF3.6

2025-01-01

OAAI

Karthik, R.; Menaka, R.; Ompirakash, S.; Murugan, P. Bala; Meenakashi, M.; Lingaswamy, Sindhia; Won, Daehan

A dual-track feature fusion model utilizing Group Shuffle Residual DeformNet and swin transformer for the classification of grape leaf diseases 利用组Shuffle残差DeformNet和swin变换器的双轨特征融合模型对葡萄叶片病害进行分类

SCIENTIFIC REPORTS

IF3.9

2024-06-24

OAAI

Karthik, R.; Vardhan, Gadige Vishnu; Khaitan, Shreyansh; Harisankar, R. N. R.; Menaka, R.; Lingaswamy, Sindhia; Won, Daehan

A Hybrid Deep Learning Approach for Skin Cancer Classification Using Swin Transformer and Dense Group Shuffle Non-Local Attention Network 基于Swin Transformer和密集群Shuffle非局部注意网络的混合深度学习皮肤癌分类方法

IEEE ACCESS

IF3.6

2024-01-01

OAAI

Karthik, R.; Menaka, R.; Atre, Shivansh; Cho, Jaehyuk; Easwaramoorthy, Sathishkumar Veerappampalayam

GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification GrapeLeafNet: 具有Inception-ResNet和Shuffle-Transformer的双轨特征融合网络，用于准确识别葡萄叶病

IEEE ACCESS

IF3.6

2024-01-01

OAAI

Karthik, R.; Menaka, R.; Ompirakash, S.; Murugan, P. Bala; Meenakashi, M.; Lingaswamy, Sindhia; Won, Daehan

Dual Mode PID Controller for Path Planning of Encoder Less Mobile Robots in Warehouse Environment

IEEE ACCESS

IF3.6

2024-01-01

OAAI

Karthik, R.; Menaka, R.; Kishore, P.; Aswin, R.; Vikram, Charan

HMARNET-A Hierarchical Multi-Attention Residual Network for Gleason scoring of prostate cancer HMARNET-用于前列腺癌Gleason评分的分层多注意残差网络

INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

IF2.5

2023-10-12

OAAI

Karthik, R.; Menaka, R.; Siddharth, M. V.; Hussain, Sameeha; Siddharth, P.; Won, Daehan

Gaussian Dropout Based Stacked Ensemble CNN for Classification of Breast Tumor in Ultrasound Images

IRBM

IF4.2

2022-12-01

PREAI

Karthik, R.; Menaka, R.; Kathiresan, G. S.; Anirudh, M.; Nagharjun, M.

AI for COVID-19 Detection from Radiographs: Incisive Analysis of State of the Art Techniques, Key Challenges and Future Directions

IRBM

IF4.2

2022-10-01

OAAI

Karthik, R.; Menaka, R.; Hariharan, M.; Kathiresan, G. S.

CT-based severity assessment for COVID-19 using weakly supervised non-local CNN

APPLIED SOFT COMPUTING

IF6.6

2022-05-01

OAAI

Karthik, R.; Menaka, R.; Hariharan, M.; Won, Daehan

Contour-enhanced attention CNN for CT-based COVID-19 segmentation

PATTERN RECOGNITION

IF7.6

2022-05-01

OAAI

Karthik, R.; Menaka, R.; Hariharan, M.; Won, Daehan

Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

IF4.8

2021-03-01

PREAI

Karthik, R.; Menaka, R.; Hariharan, M.; Won, Daehan

Neuroimaging and deep learning for brain stroke detection - A review of recent advancements and future prospects

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

IF4.8

2020-12-01

PREAI

Karthik, R.; Menaka, R.; Johnson, Annie; Anand, Sundar

Attention embedded residual CNN for disease detection in tomato leaves

APPLIED SOFT COMPUTING

IF6.6

2020-01-01

248

PREAI

Karthik, R.; Hariharan, M.; Anand, Sundar; Mathikshara, Priyanka; Johnson, Annie; Menaka, R.

A deep supervised approach for ischemic lesion segmentation from multimodal MRI using Fully Convolutional Network

APPLIED SOFT COMPUTING

IF6.6

2019-11-01

PREAI

Karthik, R.; Gupta, Utkarsh; Jha, Ashish; Rajalakshmi, R.; Menaka, R.

研究方向