B. R. Chowdhury and L. Chowdhury, “Explaining Decisions of Quan-tum Algorithm: Patient Specific Features Explanation for Epilepsy Disease,” in Data-Driven Approach for Bio-medical and Healthcare, N. Dey, Ed. Springer Nature Singapore, pp. 63–81, 2022.

Md. S. Kamal, N. Dey, L. Chowdhury, S. I. Hasan, and K. San-tosh, “Explainable AI for Glaucoma Prediction Analysis to Under-stand Risk Factors in Treatment Planning,” IEEE Trans. Instrum. Meas., vol. 71, pp. 1–9, 2022.

Md. S. Kamal, A. Northcote, L. Chowdhury, N. Dey, R. G. Crespo, and E. Herrera-Viedma, “Alzheimer’s Patient Analysis Using Image and Gene Expression Data and Explainable-AI to Present Associated Genes,” IEEE Trans. Instrum. Meas., vol. 70, pp. 1–7, 2021.

L. Chowdhury, B. R. Chowdhury, V. Rajinikanth, and N. Dey, “A Framework to Evaluate and Classify the Clinical-Level EEG Signals with Epilepsy,” Lecture Notes in Networks and Systems, vol.148, pp. 111–121,2021.

L. Chowdhury, M. S. Kamal , S. H. Ripon, S. Parvin, O. K. Hussain, Ashour, and B. R. Chowdhury, “A Biological Data-Driven Mining Technique by Using Hybrid Classifiers With Rough Set:,” Interna-tional Journal of Ambient Computing and Intelligence, vol. 12, no. 3, pp. 123–139, Jul. 2021.

Md. S. Kamal,L. Chowdhury, N. Dey, S. J. Fong, and K. Santosh, “Explainable AI to Analyze Outcomes of Spike Neural Network in Covid-19 Chest X-rays,” in 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Melbourne, Australia, pp. 3408–3415, 2021.

N. Nigar and L. Chowdhury, “An Intelligent Children Healthcare System by Using Ensemble Technique,” Intelligent Technologies and Robotics, Springer, pp. 137–150, 2020.

M. S. Kamal, M. I. Khan, K. Dev, L. Chowdhury, and N. Dey, “An Op-timized Graph-Based Metagenomic Gene Classification Approach: Metagenomic Gene Analysis,” in Data Analytics in Medicine, I. R. Management Association, Ed. IGI Global, pp. 1168–1192, 2020.

E. Ul Alam, S. Banik, and L. Chowdhury, “A Statistical Approach To Classify The Leukemia Patients From Generic Gene Features,” in 2020 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India, pp. 1–6, 2020.

S. Ripon, L. Chowdhury, A. S. Ashour, and N. Dey, “Machine-Learning Approach for Ribonucleic Acid Primary and Secondary Structure Prediction from Images,” in Soft Computing Based Medical Image Analysis, Elsevier, pp. 203–221, 2018.

Md. S. Kamal, L. Chowdhury, M. I. Khan, A. S. Ashour, J. M. R.Tavares, and N. Dey, “Hidden Markov model and Chapman Kol-mogrov for protein structures prediction from images,” Computa-tional Biology and Chemistry, vol. 68, pp. 231–244, Jun. 2017.

L. Chowdhury, M. I. Khan, K. Deb, and S. Kamal, “MetaG: a graph-based metagenomic gene analysis for big DNA data,” Netw Model Anal Health Inform Bioinforma, vol. 5, no. 1, p. 27, Dec. 2016.

M. I. Khan, Md. S. Kamal, and L. Chowdhury, “MSuPDA: A Memory Efficient Algorithm for Sequence Alignment,” Interdiscip Sci Com-put Life Sci, vol. 8, no. 1, pp. 84–94, Mar. 2016.

M. S. Hossain, P.-O. Zander, M. S. Kamal, and L. Chowdhury, “Belief-rule-based expert systems for evaluation of e-government: a case study,” Expert Systems, vol. 32, no. 5, pp. 563–577, Oct. 2015.

M. I. Khan, K. Deb, L. Chowdhury, and P. Chakroborty, “LiCo: A su-pervised method for measurement of DNA heterogeneity,” in 2015 IEEE International WIE Conference on Electrical and Computer En-gineering (WIECON-ECE), Dhaka, Bangladesh, pp. 329–332, 2015.

L. Chowdhury and M. I. Khan, “Pseudoknots Prediction on RNA Secondary Structure Using Term Rewriting,” in Bioinformatics and Biomedical Engineering, vol. 9043, F. Ortuño and I. Rojas, Eds. Cham: Springer International Publishing, pp. 577–588, 2015.

M. N. Mustafa, L. Chowdhury, and Md. S. Kamal, “Students dropout prediction for intelligent system from tertiary level in developing country,” in 2012 International Conference on Informatics, Electron-ics Vision (ICIEV), Dhaka, Bangladesh, pp. 113–118, 2012.