Das Subhajit, Sourav Mandal, and Rohini Basak (2023). “Spam Email Detection Using a Novel Multi-layer Classification-based Decision Technique.” International Journal of Computers and Applications-TJCA, T & F, DOI: https://doi.org/10.1080/1206212X.2023.2258328 (Scopus).

Pattanaik, B., Mandal, S. & Tripathy, R.M.(2023). A survey on rumor detection and prevention in social media using deep learning. Knowl Inf Syst, 65, 3839–3880, https://doi.org/10.1007/s10115-023-01902-w (SCIE, Scopus)

Mondal, A., Sardar, A., Basak, R., & Mandal, S. (2022). A Novel Mask R-CNN based Approach to Brain Tumour Detection. International Journal of Intelligent Systems and Applications in Engineering, 10(3), 108-115 (Scopus).

Chowdhuri, S., Barui, S., Mondal, S., Mandal, S., & Neogi, B. (2022). Sensing a Physical Object Gripping using Haptic Technology and Machine Learning Algorithms. Romanian Journal of Information Technology and Automatic Control, 32(2), 93–104. https://doi.org/10.33436/v32i2y202207 (ESCI)

Acharya, S., Mandal, S., & Basak, R. (2022). Solving Arithmetic Word Problems Using Natural Language Processing and Rule-Based Classification. International Journal of Intelligent Systems and Applications in Engineering, 10(1), 87–97. https://doi.org/10.18201/ijisae.2022.271 (Scopus)

Mandal, S., & Naskar, S. K. (2021). Classifying and Solving Arithmetic Math Word Problems—An Intelligent Math Solver. IEEE Transactions on Learning Technologies, 14(1), 28-41 (SSCI, SCIE, Scopus).

Mandal, S., Sekh, A. A., & Naskar, S. K. (2020). Solving arithmetic word problems: A deep learning based approach. Journal of Intelligent & Fuzzy Systems, 39(2), 2521-2531.

Mandal, S., & Naskar, S. K. (2019). Solving arithmetic word problems by object oriented modeling and query-based information processing. International Journal on Artificial Intelligence Tools, 28(04), 1940002.

Roy, A., Guria, S., Halder, S., Banerjee, S., & Mandal, S. (2018). Summarizing opinions with sentiment analysis from multiple reviews on travel destinations. International Journal of Synthetic Emotions (IJSE), 9(2), 111-120.

Mandal, S., Chatterjee, S., & Neogi, B. (2013). Diagnosis and troubleshooting of computer faults based on expert system and artificial intelligence. International Journal of Pure and Applied Mathematics, 83(5), 717-729.

Neogi, B., Mandal, S., Banerjee, S., Das, A., & Tibarewala, D. N. Design of Prosthetic Arms Control Transfer Function with the Analysysis in Digital Domain Inroducing Simulation Aspect. International J. of Engg. Research & Indu. Appls.(IJERIA), 3, 261-274.

Hussain, A., Basak, R., & Mandal, S. (2023, April). Deep Learning-Based Multiple Detection Techniques of Covid-19 Disease From Chest X-Ray Images Using Advanced Image Processing Methods and Transfer Learning. In Analytics Global Conference (pp. 65-82). Cham: Springer Nature Switzerland.

Pal, S., Mandal, S., & Basak, R. (2023). Classification of Texts with Emojis to Classify Sentiments, Moods, and Emotions. In International Conference on Mathematics and Computing (pp. 275-291). Singapore: Springer Nature Singapore (Scopus).

Acharyya, S., Mandal, S., & Basak, R. (2023). Residual Convolutional Neural Network Models for COVID-19 Detection from Chest X-Ray: A Comparative Study. In International Conference on Communication, Devices and Computing (pp. 69-81). Singapore: Springer Nature Singapore (Scopus).

Harh, S., Mandal, S., Giri, D. (2023). Detection and Classification of Cyber Threats in Tweets Toward Prevention. In: Bhattacharyya, S., Koeppen, M., De, D., Piuri, V. (eds) Intelligent Systems and Human Machine Collaboration. Lecture Notes in Electrical Engineering, vol 985. Springer, Singapore. https://doi.org/10.1007/978-981-19-8477-8_8 (Scopus).

Patra, D., Jana, B., Mandal, S., & Sekh, A. A. (2022). Understanding Fake News Detection on Social Media: A Survey on Methodologies and Datasets. In International Symposium on Artificial Intelligence (pp. 226-242). Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-22485-0_21 (Scopus)

, 2017, Natural Language Programing with Automatic Code Generation towards Solving Addition-Subtraction Word Problems.,

, 2017, Towards generating object oriented programs automatically from natural language texts for solving mathematical word problems.,

, 2012, An Algorithm for Construction of Highly Infectious cDNA Colons.,

Tilak Mukherjee, 2015, Performance Analysis of Integer Wavelet Transform in Image, LAP, Germany

Mandal, S., Sekh, A. A., & Naskar, S. K. (2022, March). Identification of Relevant Quantities in Arithmetic Word Problems Using Siamese Neural Network. In Proceedings of the Seventh International Conference on Mathematics and Computing: ICMC 2021 (pp. 415-426). Singapore: Springer Singapore (Scopus).

Debargha Bhattacharjee, 2020, Recent Advances in Intelligent Information Systems and Applied Mathematics: ICITAM 2019, Studies in Computational Intelligence Series (2020), Vol. 863 (Scopus), Springer, Germany.

Sourav Mandal, 2018, Information Technology and Applied Mathematics: ICITAM 2017, Springer AISC Vol. 699 (2018) (Scopus), Springer, Germany.