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ORCIDR. Karthik 0001
Person information
- affiliation: VIT University, School of Electronics Engineering, Chennai, India
- affiliation (until 2013): Anna University Chennai, India
Other persons with the same name
- R. Karthik (aka: Karthik R) — disambiguation page
- R. Karthik 0002
![[0000-0002-1685-8971]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1685-8971")
(aka: Karthik R 0002) — JNTUH University, MLR Institute of Technology, Hyderabad, India (and 1 more) - Karthik Ramamurthy — disambiguation page
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2020 – today
- 2024
[j30]R. Karthik, Menaka R, S. Ompirakash, Bala Murugan, M. Meenakashi, Sindhia Lingaswamy, Daehan Won:
GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification. IEEE Access 12: 19612-19624 (2024)- [j29]R. Karthik, R. Menaka, Kishore P, Aswin R, Charan Vikram:
Dual Mode PID Controller for Path Planning of Encoder Less Mobile Robots in Warehouse Environment. IEEE Access 12: 21634-21646 (2024) - [j28]R. Karthik, Armaano Ajay, Akshaj Singh Bisht, Jaehyuk Cho, V. E. Sathishkumar:
An Explainable Deep Learning Network for Environmental Microorganism Classification Using Attention-Enhanced Semi-Local Features. IEEE Access 12: 151770-151784 (2024) - [j27]R. Karthik, Armaano Ajay, Akshaj Singh Bisht, T. Illakiya, K. Suganthi:
A Deep Learning Approach for Crop Disease and Pest Classification Using Swin Transformer and Dual-Attention Multi-Scale Fusion Network. IEEE Access 12: 152639-152655 (2024) - [j26]R. Karthik, R. Menaka, Shivansh Atre, Jaehyuk Cho, Veerappampalayam Easwaramoorthy Sathishkumar:
A Hybrid Deep Learning Approach for Skin Cancer Classification Using Swin Transformer and Dense Group Shuffle Non-Local Attention Network. IEEE Access 12: 158040-158051 (2024) - [j25]R. Karthik, Rohan Inamdar, S. Kavin Sundarr, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy:
Point Cloud-Based 3D Object Classification With Non Local Attention and Lightweight Convolution Neural Networks. IEEE Access 12: 158530-158545 (2024) - [j24]R. Karthik, R. Menaka, M. V. Siddharth, Sameeha Hussain, P. Siddharth, Daehan Won:
HMARNET - A Hierarchical Multi-Attention Residual Network for Gleason scoring of prostate cancer. Int. J. Imaging Syst. Technol. 34(1) (2024) - [j23]T. Illakiya, R. Karthik:
A deep feature fusion network with global context and cross-dimensional dependencies for classification of mild cognitive impairment from brain MRI. Image Vis. Comput. 144: 104967 (2024) - 2023
- [j22]T. Illakiya, R. Karthik:
A Dimension Centric Proximate Attention Network and Swin Transformer for Age-Based Classification of Mild Cognitive Impairment From Brain MRI. IEEE Access 11: 128018-128031 (2023) - [j21]Hariharan Manikandan, Abhinesh Mishra, Sriram Ravi, Ankita Sharma, Anshul Tanwar, Krishna Sundaresan, Prasanna Ganesan, R. Karthik:
Detecting log anomaly using subword attention encoder and probabilistic feature selection. Appl. Intell. 53(19): 22297-22312 (2023) - [j20]Karthik Ramamurthy, Rashmi Dinesh Thekkath, Shivam Batra, Sreejan Chattopadhyay:
A novel deep learning architecture for disease classification in Arabica coffee plants. Concurr. Comput. Pract. Exp. 35(8) (2023) - [j19]Karthik Ramamurthy, Anirudh Muthuswamy, Nagharjun Mathimariappan, Gugan S. Kathiresan:
A novel two-staged network for skin disease detection using atrous residual convolutional networks. Concurr. Comput. Pract. Exp. 35(26) (2023) - [j18]R. Karthik, Menaka R, P. Ponmathi, Daehan Won, Vinitha Joshy Premkumar, J. G. Aravindan, S. Harshavardhan, K. V. S. D. Aashish kumar, R. Akileshkumar:
Signal Processing and AI-based Assessment of Rehabilitation Exercises for Diastasis Recti Abdominis. Comput. Syst. Sci. Eng. 47(1): 333-348 (2023) - [j17]Jayanth Sivakumar, Karthik Ramamurthy, Menaka Radhakrishnan, Daehan Won:
GenerativeMTD: A deep synthetic data generation framework for small datasets. Knowl. Based Syst. 280: 110956 (2023) - [j16]R. Karthik, R. Menaka, M. V. Siddharth, Sameeha Hussain, Bala Murugan, Daehan Won:
A deep feature fusion network using residual channel shuffled attention for cassava leaf disease detection. Neural Comput. Appl. 35(30): 22755-22770 (2023) - [j15]T. Illakiya, R. Karthik:
Automatic Detection of Alzheimer's Disease using Deep Learning Models and Neuro-Imaging: Current Trends and Future Perspectives. Neuroinformatics 21(2): 339-364 (2023) - [c5]Charan Vikram, Kishore P, Aswin R, Karthik R, Menaka Radhakrishnan, Thillaivasan Veeranathan:
Deep Learning-based 6D pose estimation of texture less objects for Industrial Cobots. AIR 2023: 87:1-87:6 - 2022
- [j14]R. Karthik, Menaka R, Hariharan Manikandan, Daehan Won:
CT-based severity assessment for COVID-19 using weakly supervised non-local CNN. Appl. Soft Comput. 121: 108765 (2022) - [j13]R. Karthik, Tejas Sunil Vaichole, Sanika Kiran Kulkarni, Ojaswa Yadav, Faiz Khan:
Eff2Net: An efficient channel attention-based convolutional neural network for skin disease classification. Biomed. Signal Process. Control. 73: 103406 (2022) - [j12]Hariharan Manikandan, Sathish Kumar Chandrasekaran, Anshul Tanwar, Krishna Sundaresan, Prasanna Ganesan, Sriram Ravi, R. Karthik:
Proximal Instance Aggregator networks for explainable security vulnerability detection. Future Gener. Comput. Syst. 134: 303-318 (2022) - [j11]Jayanth Sivakumar, Karthik Ramamurthy, Menaka Radhakrishnan, Daehan Won:
Synthetic sampling from small datasets: A modified mega-trend diffusion approach using k-nearest neighbors. Knowl. Based Syst. 236: 107687 (2022) - [j10]R. Karthik, R. Menaka, Hariharan Manikandan, Daehan Won:
Contour-enhanced attention CNN for CT-based COVID-19 segmentation. Pattern Recognit. 125: 108538 (2022) - [j9]Menaka Radhakrishnan, Karthik Ramamurthy, Avantika Kothandaraman, Vinitha Joshy Premkumar, Nandita Ramesh:
Automatic Assessment of Abdominal Exercises for the Treatment of Diastasis Recti Abdominis Using Electromyography and Machine Learning. Symmetry 14(8): 1654 (2022) - 2021
- [j8]R. Karthik, R. Menaka, Hariharan Manikandan:
Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN. Appl. Soft Comput. 99: 106744 (2021) - [j7]R. Karthik, R. Menaka, Hariharan Manikandan, Daehan Won:
Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN. Comput. Methods Programs Biomed. 200: 105831 (2021) - [j6]Menaka Radhakrishnan, Karthik Ramamurthy, Kaustav Kumar Choudhury, Daehan Won, Thanga Aarthy Manoharan:
Performance Analysis of Deep Learning Models for Detection of Autism Spectrum Disorder from EEG Signals. Traitement du Signal 38(3): 853-863 (2021) - [j5]Menaka Radhakrishnan, Karthik Ramamurthy, Avantika Kothandaraman, Gauri Madaan, Harini Machavaram:
Investigating EEG Signals of Autistic Individuals Using Detrended Fluctuation Analysis. Traitement du Signal 38(5): 1515-1520 (2021) - 2020
- [j4]Karthik R, Hariharan Manikandan, Sundar Anand, Priyanka Mathikshara, Annie Johnson, Menaka R:
Attention embedded residual CNN for disease detection in tomato leaves. Appl. Soft Comput. 86 (2020) - [j3]R. Karthik, Menaka R, Annie Johnson, Sundar Anand:
Neuroimaging and deep learning for brain stroke detection - A review of recent advancements and future prospects. Comput. Methods Programs Biomed. 197: 105728 (2020) - [i6]Karthik R, Anvita Dwivedi, Haripriya M, Bharath K. P, Rajesh Kumar Muthu:
Radial Based Analysis of GRNN in Non-Textured Image Inpainting. CoRR abs/2001.04215 (2020) - [i5]Pratibha Balaji, Shruthi Narayan, Durga Sraddha, Bharath K. P, Karthik R, Rajesh Kumar Muthu:
Performance Analysis of Adaptive Noise Cancellation for Speech Signal. CoRR abs/2002.07677 (2020)
2010 – 2019
- 2019
- [j2]R. Karthik, Utkarsh Gupta, Ashish Jha, Ratnavel Rajalakshmi, R. Menaka:
A deep supervised approach for ischemic lesion segmentation from multimodal MRI using Fully Convolutional Network. Appl. Soft Comput. 84 (2019) - [c4]Sundar Anand, Annie Johnson, Priyanka Mathikshara, Karthik R:
Low Power Real Time GPS Tracking Enabled with RTOS and Serverless Architecture. ICCCS 2019: 618-623 - [c3]Sundar Anand, Annie Johnson, Priyanka Mathikshara, Karthik R:
Real-time GPS tracking using serverless architecture and ARM processor. COMSNETS 2019: 541-543 - 2018
- [i4]Karthik R, Preetam Satapath, Srivatsa Patnaik, Saurabh Priyadarshi, Rajesh Kumar Muthu:
Automatic Phone Slip Detection System. CoRR abs/1802.04252 (2018) - [i3]R. Karthik, Dhruv Tyagi, Amogh Raut, Soumya Saxena, Rajesh Kumar Muthu:
Implementation of Neural Network and feature extraction to classify ECG signals. CoRR abs/1802.06288 (2018) - [i2]Chetan Sai Tutika, Charan Vallapaneni, Karthik R, Bharath KP, N. Ruban Rajesh Kumar Muthu:
Image Segmentation and Processing for Efficient Parking Space Analysis. CoRR abs/1803.04620 (2018) - 2017
- [c2]K. Tejas, K. Ashok Reddy, D. Pradeep Reddy, K. P. Bharath, R. Karthik, Rajesh Kumar Muthu:
Efficient License Plate Recognition System with Smarter Interpretation Through IoT. SocProS (2) 2017: 207-220 - [i1]Rishi Charan, Manisha A, Karthik R, Rajesh Kumar Muthu:
A text-independent speaker verification model: A comparative analysis. CoRR abs/1712.00917 (2017) - 2016
- [j1]Ramya Sivanesan, Alvia Anwar, Abhishek Talwar, Menaka R, Karthik R:
A Novel Scheme for detection of Parkinson's disorder from Hand-eye Co-ordination behavior and DaTscan Images. KSII Trans. Internet Inf. Syst. 10(9): 4367-4385 (2016) - 2013
- [c1]A. Annis Fathima, R. Karthik, Vijay Vaidehi:
Image Stitching with Combined Moment Invariants and Sift Features. ANT/SEIT 2013: 420-427
Coauthor Index
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last updated on 2024-11-08 20:31 CET by the dblp team
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