Ensemble Deep Learning for Cricket Score Prediction: Integrating CNN, LSTM, and DNN for Enhanced Accuracy

Harsha, Vanga Venkata; Swathi, Gattem; Sai, Polipalli; Niharika, Mailapalli; Rao, Mandalika Varun; Naidu, B.E.V.L.

Ensemble Deep Learning for Cricket Score Prediction: Integrating CNN, LSTM, and DNN for Enhanced Accuracy

Harsha, Vanga Venkata and Swathi, Gattem and Sai, Polipalli and Niharika, Mailapalli and Rao, Mandalika Varun and Naidu, B.E.V.L. (2025) Ensemble Deep Learning for Cricket Score Prediction: Integrating CNN, LSTM, and DNN for Enhanced Accuracy. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II.

PDF
79570.pdf
Download (182kB)

Abstract

Cricket score prediction is a complex problem influenced by dynamic factors such as wickets lost, overs remaining, and run rate. These factors are critical because they directly affect batting strategies, scoring potential, and match outcomes. This study presents an advanced machine learning model t

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Date Deposited:	04 Mar 2026 20:19
Last Modified:	16 Apr 2026 15:52
URI:	http://eprints.eai.eu/id/eprint/60215

Actions (login required)

: View Item