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)

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)

Hybrid Optimization and Deep Learning for Detecting Fraud Transactions in the Bank. - Chandra Sekhar Kolli; Uma Devi Tatavarthi (Int. J. Inf. Secur. Priv., 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)

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)

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., 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., 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., 2023)

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)

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., 2024)

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)

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., 2025)