S. Chandrakala

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 16

Top Topics

Detecting Anomalies

Reinforcement Learning

Event Recognition

Wireless Sensor Networks

Top Venues

Signal Image Video Process.

Wirel. Pers. Commun.

Neural Process. Lett.

Comput. Electr. Eng.

Publications

S. Chandrakala, Akhilandeswari Pidikiti, P. V. N. Sai Mahathi
Spectro Temporal Fusion with CLSTM-Autoencoder based approach for Anomalous Sound Detection. Neural Process. Lett. 56 (1) (2024)
S. Chandrakala, K. Deepak, L. K. P. Vignesh
Bag-of-Event-Models based embeddings for detecting anomalies in surveillance videos. Expert Syst. Appl. 190 (2022)
S. Chandrakala, S. Malini, S. L. Jayalakshmi
Bag of Models Based Embeddings for Assessment of Neurological Disorders Using Speech Intelligibility. IEEE Trans. Emerg. Top. Comput. 9 (3) (2021)
S. Chandrakala, Venkatraman M, Shreyas N, S. L. Jayalakshmi
Multi-view representation for sound event recognition. Signal Image Video Process. 15 (6) (2021)
K. Deepak, S. Chandrakala, C. Krishna Mohan
Residual spatiotemporal autoencoder for unsupervised video anomaly detection. Signal Image Video Process. 15 (1) (2021)
S. Chandrakala, V. Srinivas, K. Deepak
Residual Spatiotemporal Autoencoder with Skip Connected and Memory Guided Network for Detecting Video Anomalies. Neural Process. Lett. 53 (6) (2021)
Vishnika Veni S, S. Chandrakala
Investigation of DNN-HMM and Lattice Free Maximum Mutual Information Approaches for Impaired Speech Recognition. IEEE Access 9 (2021)
K. Deepak, G. Srivathsan, S. Roshan, S. Chandrakala
Deep Multi-view Representation Learning for Video Anomaly Detection Using Spatiotemporal Autoencoders. Circuits Syst. Signal Process. 40 (3) (2021)
Niveditha Sekar, S. Chandrakala, G. Prakash
Analysis of Global Word Representations for Depression Detection. ISIC (2021)
K. Deepak, L. K. P. Vignesh, S. Chandrakala
Autocorrelation of gradients based violence detection in surveillance videos. ICT Express 6 (3) (2020)
K. Deepak, Mohamed Yacin Sikkandar, S. Siddharth, S. Chandrakala
A Similarity Based Representation for Identifying Healthcare Anomalous Activities. J. Medical Imaging Health Informatics 10 (4) (2020)
S. Chandrakala, S. L. Jayalakshmi
Generative Model Driven Representation Learning in a Hybrid Framework for Environmental Audio Scene and Sound Event Recognition. IEEE Trans. Multim. 22 (1) (2020)
S. Chandrakala, S. L. Jayalakshmi
Environmental Audio Scene and Sound Event Recognition for Autonomous Surveillance: A Survey and Comparative Studies. ACM Comput. Surv. 52 (3) (2019)
A. Pravin Renold, S. Chandrakala
MRL-SCSO: Multi-agent Reinforcement Learning-Based Self-Configuration and Self-Optimization Protocol for Unattended Wireless Sensor Networks. Wirel. Pers. Commun. 96 (4) (2017)
A. Pravin Renold, S. Chandrakala
Erratum to: MRL-SCSO: Multi-agent Reinforcement Learning-Based Self-Configuration and Self-Optimization Protocol for Unattended Wireless Sensor Networks. Wirel. Pers. Commun. 96 (4) (2017)
A. Pravin Renold, S. Chandrakala
Survey on state scheduling-based topology control in unattended wireless sensor networks. Comput. Electr. Eng. 56 (2016)
S. Chandrakala, C. Chandra Sekhar
Classification of varying length multivariate time series using Gaussian mixture models and support vector machines. Int. J. Data Min. Model. Manag. 2 (3) (2010)
S. Chandrakala, C. Chandra Sekhar
Classification of Multi-variate Varying Length Time Series Using Descriptive Statistical Features. PReMI (2009)
S. Chandrakala, C. Chandra Sekhar
Model Based Clustering of Audio Clips Using Gaussian Mixture Models. ICAPR (2009)
S. Chandrakala, C. Chandra Sekhar
A density based method for multivariate time series clustering in kernel feature space. IJCNN (2008)
Sheetal Reddy Pamudurthy, S. Chandrakala, C. Chandra Sekhar
Local Density Estimation based Clustering. IJCNN (2007)