{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:06:30Z","timestamp":1750309590256,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T00:00:00Z","timestamp":1729123200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,17]]},"DOI":"10.1145\/3723178.3723273","type":"proceedings-article","created":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T07:20:33Z","timestamp":1749194433000},"page":"719-724","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Optimized Malaria Identification through Transfer Learning Appoach"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-0160-674X","authenticated-orcid":false,"given":"Al Jubayer","family":"Pial","sequence":"first","affiliation":[{"name":"CSE, North South University, Dhaka, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3740-3386","authenticated-orcid":false,"given":"Md. Ashiq Ul Islam","family":"Sajid","sequence":"additional","affiliation":[{"name":"Computer Science, BRAC UNIVERSITY, Dhaka, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6667-2408","authenticated-orcid":false,"given":"Abdullah","family":"Mubin","sequence":"additional","affiliation":[{"name":"EEE, BRAC University, Dhaka, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-6251-2890","authenticated-orcid":false,"given":"Muhammad Zawad","family":"Mahmud","sequence":"additional","affiliation":[{"name":"CSE, North South University, Dhaka, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5738-1631","authenticated-orcid":false,"given":"Dr. M. Firoz","family":"Mridha","sequence":"additional","affiliation":[{"name":"CSE, AIUB, Dhaka, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6649-4435","authenticated-orcid":false,"given":"Abdullah","family":"Jubair","sequence":"additional","affiliation":[{"name":"CSE, AIUB, Dhaka, Bangladesh"}]}],"member":"320","published-online":{"date-parts":[[2025,6,6]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICEEI.2011.6021762"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"crossref","unstructured":"Ahmet \u00c7inar and Muhammed Yildirim. 2020. Classification of malaria cell images with deep learning architectures. Ing\u00e9nierie des Syst\u00e8mes d\u2019Information 25 1 (2020) 35.","DOI":"10.18280\/isi.250105"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"crossref","unstructured":"Omar\u00a0M Elzeki Mohamed Abd\u00a0Elfattah Hanaa Salem Aboul\u00a0Ella Hassanien and Mahmoud Shams. 2021. A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset. PeerJ Computer Science 7 (2021) e364.","DOI":"10.7717\/peerj-cs.364"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"crossref","unstructured":"Gopalakrishna\u00a0Pillai Gopakumar Murali Swetha Gorthi Sai\u00a0Siva and Gorthi R\u00a0K Sai\u00a0Subrahmanyam. 2018. Convolutional neural network-based malaria diagnosis from focus stack of blood smear images acquired using custom-built slide scanner. Journal of biophotonics 11 3 (2018) e201700003.","DOI":"10.1002\/jbio.201700003"},{"key":"e_1_3_3_2_6_2","unstructured":"Samiha Islam Muhammad\u00a0Zawad Mahmud Shahran\u00a0Rahman Alve and Md\u00a0Mejbah\u00a0Ullah Chowdhury. 2024. Deep Learning Approach for Enhancing Oral Squamous Cell Carcinoma with LIME Explainable AI Technique. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2411.14184 (2024)."},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-13-S17-S18"},{"key":"e_1_3_3_2_8_2","unstructured":"Muhammad\u00a0Zawad Mahmud Md\u00a0Shihab Reza Shahran\u00a0Rahman Alve and Samiha Islam. 2024. Advance Transfer Learning Approach for Identification of Multiclass Skin Disease with LIME Explainable AI Technique. medRxiv (2024) 2024\u201312."},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"crossref","unstructured":"Muhammad Mujahid Furqan Rustam Rahman Shafique Elizabeth\u00a0Caro Montero Eduardo\u00a0Silva Alvarado Isabel de\u00a0la Torre\u00a0Diez and Imran Ashraf. 2024. Efficient deep learning-based approach for malaria detection using red blood cell smears. Scientific Reports 14 1 (2024) 13249.","DOI":"10.1038\/s41598-024-63831-0"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"crossref","unstructured":"Onicio B\u00a0Leal Neto Cesar\u00a0M Albuquerque Jones\u00a0O Albuquerque and Constan\u00e7a\u00a0S Barbosa. 2014. The schisto track: a system for gathering and monitoring epidemiological surveys by connecting geographical information systems in real time. JMIR mhealth and uhealth 2 1 (2014) e2859.","DOI":"10.2196\/mhealth.2859"},{"key":"e_1_3_3_2_11_2","unstructured":"W\u00a0David Pan Yuhang Dong and Dongsheng Wu. 2018. Classification of malaria-infected cells using deep convolutional neural networks. Machine learning: advanced techniques and emerging applications 159 (2018)."},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"crossref","unstructured":"Md\u00a0Johir Raihan and Abdullah-Al Nahid. 2022. Malaria cell image classification by explainable artificial intelligence. Health and Technology 12 1 (2022) 47\u201358.","DOI":"10.1007\/s12553-021-00620-z"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"crossref","unstructured":"Sivaramakrishnan Rajaraman Sameer\u00a0K Antani Mahdieh Poostchi Kamolrat Silamut Md\u00a0A Hossain Richard\u00a0J Maude Stefan Jaeger and George\u00a0R Thoma. 2018. Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images. PeerJ 6 (2018) e4568.","DOI":"10.7717\/peerj.4568"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"crossref","unstructured":"Nicholas\u00a0E Ross Charles\u00a0J Pritchard David\u00a0M Rubin and Adriano\u00a0G Duse. 2006. Automated image processing method for the diagnosis and classification of malaria on thin blood smears. Medical and Biological Engineering and Computing 44 (2006) 427\u2013436.","DOI":"10.1007\/s11517-006-0044-2"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICOEI48184.2020.9143023"},{"key":"e_1_3_3_2_16_2","unstructured":"Nitish Srivastava Geoffrey Hinton Alex Krizhevsky Ilya Sutskever and Ruslan Salakhutdinov. 2014. Dropout: a simple way to prevent neural networks from overfitting. The journal of machine learning research 15 1 (2014) 1929\u20131958."},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"crossref","unstructured":"Mohd Usama Belal Ahmad Jiafu Wan M\u00a0Shamim Hossain Mohammed\u00a0F Alhamid and M\u00a0Anwar Hossain. 2018. Deep feature learning for disease risk assessment based on convolutional neural network with intra-layer recurrent connection by using hospital big data. Ieee Access 6 (2018) 67927\u201367939.","DOI":"10.1109\/ACCESS.2018.2879158"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"crossref","unstructured":"Yin Zhang Xiao Ma Jing Zhang M\u00a0Shamim Hossain Ghulam Muhammad and Syed\u00a0Umar Amin. 2019. Edge intelligence in the cognitive Internet of Things: Improving sensitivity and interactivity. IEEE Network 33 3 (2019) 58\u201364.","DOI":"10.1109\/MNET.2019.1800344"}],"event":{"name":"ICCA 2024: 3rd International Conference on Computing Advancements","acronym":"ICCA 2024","location":"Dhaka Bangladesh"},"container-title":["Proceedings of the 3rd International Conference on Computing Advancements"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3723178.3723273","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3723178.3723273","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:56:47Z","timestamp":1750298207000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3723178.3723273"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,17]]},"references-count":17,"alternative-id":["10.1145\/3723178.3723273","10.1145\/3723178"],"URL":"https:\/\/doi.org\/10.1145\/3723178.3723273","relation":{},"subject":[],"published":{"date-parts":[[2024,10,17]]},"assertion":[{"value":"2025-06-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}