Kathiravan Srinivasan
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Forecasting yield by integrating agrarian factors and machine learning models: A survey
D Elavarasan, DR Vincent, V Sharma, AY Zomaya, K Srinivasan
Computers and electronics in agriculture 155, 257-282, 2018
Intelligent Deployment of UAVs in 5G Heterogeneous Communication Environment for Improved Coverage
V Sharma, K Srinivasan, HC Chao, KL Hua, WH Cheng
Journal of Network and Computer Applications, 2016
Hybrid context enriched deep learning model for fine-grained sentiment analysis in textual and visual semiotic modality social data
A Kumar, K Srinivasan, WH Cheng, AY Zomaya
Information Processing & Management 57 (1), 2020
Sensors Driven AI-Based Agriculture Recommendation Model for Assessing Land Suitability
DR Vincent, N Deepa, D Elavarasan, K Srinivasan, SH Chauhdary, ...
Sensors 19 (17), 1-16, 2019
Virtual reality among the elderly: a usefulness and acceptance study from Taiwan
SA Shabbir, S Malwade, AA Nursetyo, M Sood, M Bhatia, D Barsasella, ...
BMC Geriatrics 19 (223), 1-10, 2019
Recent Advances on IoT-Assisted Wearable Sensor Systems for Healthcare Monitoring
SD Mamidwar, R Akshith, Z Shakruwala, U Chadha, K Srinivasan, ...
Biosensors 11 (10), 372, 2021
Emotion AI-Driven Sentiment Analysis: A Survey, Future Research Directions, and Open Issues
P Chakriswaran, DR Vincent, K Srinivasan, V Sharma, CY Chang, ...
Applied Sciences 9 (24), 5462, 2019
Robust RGB-D hand tracking using deep learning priors
J Sanchez-Riera, K Srinivasan, KL Hua, WH Cheng, MA Hossain, ...
IEEE Transactions on Circuits and Systems for Video Technology 28 (9), 2289-2301, 2017
Performance Comparison of Deep CNN Models for Detecting Driver’s Distraction
K Srinivasan, L Garg, D Datta, AA Alaboudi, NZ Jhanjhi, R Agarwal, ...
Computers, Materials & Continua 68 (3), 4109-4124, 2021
An Efficient and Unique TF/IDF Algorithmic Model-Based Data Analysis for Handling Applications with Big Data Streaming
C Iwendi, S Ponnan, R Munirathinam, K Srinivasan, CY Chang
Electronics 8 (11), 1331, 2019
Machine Learning Prediction Models for Chronic Kidney Disease Using National Health Insurance Claim Data in Taiwan
S Krishnamurthy, KS Kapeleshh, E Dovgan, M Luštrek, B Gradišek Piletič, ...
Healthcare 9 (5), 546, 2021
Deep CNN and Deep GAN in Computational Visual Perception-Driven Image Analysis
R Nandhini Abirami, PM Durai Raj Vincent, K Srinivasan, U Tariq, ...
Complexity 2021 (5541134), 1-30, 2021
DAG-SVM based infant cry classification system using sequential forward floating feature selection
CY Chang, CW Chang, K Srinivasan, C Lin, ST Chen
Multidimensional Systems and Signal Processing, 1-16, 2016
Hybrid Inception v3 XGBoost Model for Acute Lymphoblastic Leukemia Classification
S Ramaneswaran, K Srinivasan, PMDR Vincent, CY Chang
Computational and Mathematical Methods in Medicine 2021 (Article ID 2577375 …, 2021
Machine learning based computational gene selection models: a survey, performance evaluation, open issues, and future research directions
N Mahendran, PM Durai Raj Vincent, K Srinivasan, CY Chang
Frontiers in genetics 11, 603808, 2020
Realizing Sustainable Development via Modified Integrated Weighting MCDM Model for Ranking Agrarian Dataset
N Deepa, K Ganesan, K Srinivasan, CY Chang
Sustainability 11 (21), 1-21, 2019
A review on potential issues and challenges in MR imaging
S Kathiravan, J Kanakaraj
The Scientific World Journal 2013 (783715), 10, 2013
On the positioning likelihood of UAVs in 5G networks
V Sharma, DNK Jayakody, K Srinivasan
Physical Communication 31, 1-9, 2018
Opportunistic-harvesting: RF wireless power transfer scheme for multiple access relays system
A Rajaram, DNK Jayakody, K Srinivasan, B Chen, V Sharma
IEEE Access 5, 16084-16099, 2017
A Review of Manchester, Miller, and FM0 Encoding Techniques
V Lalitha, K Srinivasan
Smart Computing Review 4 (6), 481-490, 2014
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