Követés
Venkata Krishna Kishore Kolli
Venkata Krishna Kishore Kolli
Professor and Dean, School of Computing and Informatics, VFSTR University
E-mail megerősítve itt: vignan.ac.in
Cím
Hivatkozott rá
Hivatkozott rá
Év
Transfer learning-based deep ensemble neural network for plant leaf disease detection
S Vallabhajosyula, V Sistla, VKK Kolli
Journal of Plant Diseases and Protection 129 (3), 545-558, 2022
2162022
Emotion recognition in speech using MFCC and wavelet features
KVK Kishore, PK Satish
2013 3rd IEEE International Advance Computing Conference (IACC), 842-847, 2013
1662013
Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State.
VRR Chirra, SR Uyyala, VKK Kolli
Rev. d'Intelligence Artif. 33 (6), 461-466, 2019
1572019
Sentiment analysis and text categorization of cancer medical records with LSTM
DC Edara, LP Vanukuri, V Sistla, VKK Kolli
Journal of Ambient Intelligence and Humanized Computing 14 (5), 5309-5325, 2023
992023
Facial Emotion Recognition Using NLPCA and SVM
CVR Reddy, US Reddy, K Venkata Krishna Kishore
Traitement du Signal 36 (1), 13-21, 2019
562019
Virtual facial expression recognition using deep CNN with ensemble learning
VRR Chirra, SR Uyyala, VKK Kolli
Journal of Ambient Intelligence and Humanized Computing 12 (12), 10581-10599, 2021
482021
Predictive Model for Network Intrusion Detection System Using Deep Learning
V Sstla, VKK Kolli, LK Voggu, R Bhavanam, S Vallabhasoyula
342020
Multi-Feature Fusion based Facial Expression Classification using DLBP and DCT
C VenkataRamiReddy, KVK Kishore, D Bhattacharyya, T Kim
International Journal of Software Engineering and Its Applications 8 (9), 55-68, 2014
312014
Prediction of cervical cancer using voting and DNN classifiers
K Rayavarapu, KKV Krishna
2018 International Conference on Current Trends towards Converging …, 2018
302018
M5P model tree in predicting student performance: A case study
SC Kumar, ED Chowdary, S Venkatramaphanikumar, KVK Kishore
2016 IEEE International Conference on Recent Trends in Electronics …, 2016
302016
Multimodal attention-gated cascaded U-Net model for automatic brain tumor detection and segmentation
SKR Chinnam, V Sistla, VKK Kolli
Biomedical Signal Processing and Control 78, 103907, 2022
262022
Performance evaluation of DNN with other machine learning techniques in a cluster using Apache Spark and MLlib
ANM JayaLakshmi, KVK Kishore
Journal of King Saud University-Computer and Information Sciences 34 (1 …, 2022
262022
Object Detection Using Stacked YOLOv3
SS Padmanabula, RC Puvvada, V Sistla, VKK Kolli
Ingénierie des Systèmes d’Information 25 (5), 691-697, 2020
252020
Facial Expression classification using Kernel based PCA with fused DCT and GWT features
CV Ramireddy, KV Krishna Kishore
Computational Intelligence and Computing Research (ICCIC), 2013 IEEE …, 2013
232013
A novel face recognition system based on combining eigenfaces with fisher faces using wavelets
B Jyostna Devi, N Veeranjaneyulu, KVK Kishore
Procedia Computer Science 2, 44-51, 2010
232010
SVM-PUK Kernel Based MRI-brain Tumor Identification Using Texture and Gabor Wavelets.
S Chinnam, VPK Sistla, VKK Kolli
Traitement du Signal 36 (2), 185-191, 2019
212019
Prognosis of diseases using machine learning algorithms: A survey
NMJ Kumari, KKV Krishna
2018 International Conference on Current Trends towards Converging …, 2018
212018
An automated online proctoring system using attentive-net to assess student mischievous behavior
P Tejaswi, venkatarama phanikumar Sistla, K Venkata Krishna Kishore
Multimedia Tools and Applications, 1-30, 2023
20*2023
SVM kernel based predictive analytics on faculty performance evaluation
E Deepak, GS Pooja, RNS Jyothi, SVP Kumar, K Venkata Krishna Kishore
2016 International Conference on Inventive Computation Technologies (ICICT …, 2016
182016
Prediction of student academic progression: A case study on Vignan University
KVK Kishore, S Venkatramaphanikumar, S Alekhya
2014 International Conference on Computer Communication and Informatics, 1-6, 2014
182014
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Cikkek 1–20