Chandra Sekhar Kolli

According to our database, Chandra Sekhar Kolli authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

SCWO-SNN: Snow carpet weaver optimization based spiking neural network for fraud detection in UPI transactions using federated learning.

Chandra Sekhar Kolli, Veeraraghavan Jagannathan, Dasaradha Ramayya Lanka, Ch. Rajyalakshmi, Vijaya Kumar Reddy Radha, Vadisena Venkata Krishna Reddy

Comput. Stand. Interfaces, 2026

2025

HHFHNet: Hybrid Deep Learning Network for Course Recommendation Using H-Matrix.

Nagarjuna Reddy Seelam, Chandra Sekhar Kolli, Mohan Kumar Chandol, R. Ravi Kumar, Ravi Kumar Balleda, Masthan Siva Krishna Munaga

Trans. Emerg. Telecommun. Technol., April, 2025

Cascade Kronecker neuro-fuzzy network based influential node identification.

Koduru Hajarathaiah, Chandra Sekhar Kolli, Tatireddy Subba Reddy, M. P. J. Santosh Kumar, Vijaya Kumar Reddy Radha, Vadisena Venkata Krishna Reddy

Appl. Soft Comput., 2025

2024

Deep learning-based privacy-preserving recommendations in federated learning.

Chandra Sekhar Kolli, V. V. Krishna Reddy, Tatireddy Subba Reddy, Mohan Kumar Chandol, Durga Bhavani Dasari, Mule RamaKrishna Reddy

Int. J. Gen. Syst., August, 2024

Deep learning-based credit card fraud detection in federated learning.

Vadisena Venkata Krishna Reddy, Radha Vijaya Kumar Reddy, Masthan Siva Krishna Munaga, Balaji Karnam, Suresh Kumar Maddila, Chandra Sekhar Kolli

Expert Syst. Appl., 2024

2023

An effective optimization enabled deep learning based Malicious behaviour detection in cloud computing.

Sukhada Bhingarkar, S. Thanga Revathi, Chandra Sekhar Kolli, Hiren K. Mewada

Int. J. Intell. Robotics Appl., September, 2023

Deep Ensemble Model for Spam Classification in Twitter via Sentiment Extraction: Bio-Inspiration-Based Classification Model.

Bharati Sanjay Ainapure, Mythili Boopathi, Chandra Sekhar Kolli, C. Jackulin

Int. J. Image Graph., July, 2023

Popularity Prediction Model With Context, Time and User Sentiment Information: An Optimization Assisted Deep Learning Technique.

Kasiprasad Mannepalli, Suryabhan Pratap Singh, Chandra Sekhar Kolli, Sundeep Raj, Giridhar Reddy Bojja, B. R. Rajakumar, D. Binu

Int. J. Uncertain. Fuzziness Knowl. Based Syst., April, 2023

Deep embedded clustering with matrix factorization based user rating prediction for collaborative recommendation.

Jagannath E. Nalavade, Chandra Sekhar Kolli, Sanjay Nakharu Prasad Kumar

Multiagent Grid Syst., 2023

2022

Multiverse fractional calculus based hybrid deep learning and fusion approach for detecting malicious behavior in cloud computing environment.

Chandra Sekhar Kolli, Nihar Madhaw Ranjan, Dharani Kumar Talapula, Vikram Sadashiv Gawali, Siddhartha Sankar Biswas

Multiagent Grid Syst., 2022

Hybrid Optimization and Deep Learning for Detecting Fraud Transactions in the Bank.

Chandra Sekhar Kolli, Uma Devi Tatavarthi

Int. J. Inf. Secur. Priv., 2022

Money Transaction Fraud Detection Using Harris Grey Wolf-Based Deep Stacked Auto Encoder.

Chandra Sekhar Kolli, Uma Devi Tatavarthi

Int. J. Ambient Comput. Intell., 2022

2021

Fraud detection in bank transaction with wrapper model and Harris water optimization-based deep recurrent neural network.

Chandra Sekhar Kolli, Uma Devi Tatavarthi

Kybernetes, 2021