- Prem Kumar Singuluri, B. Jayamma, B. Divya Bharathi, T. Bhavya Sree, B. Lakshmi Santhoshi:
Crime Prediction Using Modified Capsule Network with CrissCross Optimization on the Sentiment Analysis for Cyber-Security. MIKE 2023: 105-116 - S. Sivakumar, S. Anita, S. Jothi:
Hybrid Optimal Fine Tuning Approach in Deep Learning for Identifying Early Parkinson's Disease. MIKE 2023: 269-282 - K. Sreenivasulu, H. Aini Sosan Khan, K. Damini, M. Akhila, G. Bharathi:
Detection of Chicken Disease Based on Day-Age Using Pre Trained Model of CNN. MIKE 2023: 13-24 - M. Sundarrajan, Akshya Jothi, D. Prabakar, Seifedine Kadry:
The Smart Coverage Path Planner for Autonomous Drones Using TSP and Tree Selection. MIKE 2023: 161-172 - Mujahid Tabassum, Tripti Sharma, Saju Mohanan, Isah A. Lawal:
A Comparative Analysis of Data Backup and Network Consistency in Cluster-Base Wireless Sensor Network Protocols. MIKE 2023: 185-192 - S. V. Tharun, G. Saranya, Tamilvizhi Thanarajan, Surendran Rajendran:
Highest Accuracy Based Automated Depression Prediction Using Natural Language Processing. MIKE 2023: 95-104 - S. V. Tharun, G. Saranya, Tamilvizhi Thanarajan, Surendran Rajendran:
Cryptocurrency Price Prediction Using Deep Learning. MIKE 2023: 283-300 - Priya Thiagarajan, M. Suguna:
Deep Learning Ocular Disease Detection System (ODDS). MIKE 2023: 213-224 - Seifedine Kadry, Rajendra Prasath:
Mining Intelligence and Knowledge Exploration - 9th International Conference, MIKE 2023, Kristiansand, Norway, June 28-30, 2023, Proceedings. Lecture Notes in Computer Science 13924, Springer 2023, ISBN 978-3-031-44083-0 [contents]