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Pre-Trained Lightweight Deep Learning Models for Surgical Instrument Detection: Performance Evaluation for Edge Inference., and . GLOBECOM, page 3873-3878. IEEE, (2023)Content, Consumption, and Productivity: An Empirical Analysis of Compact Streaming and Reel Content's Effects on the Productivity of Today's Emerging Generation., , , , and . SKIMA, page 181-186. IEEE, (2023)Identifying High and Low Academic Result Holders Through Smartphone Usage Data., , and . AsianCHI@CHI, page 114-121. ACM, (2021)Smartphone usage behavior between depressed and non-depressed students: an exploratory study in the context of Bangladesh., , , and . UbiComp/ISWC Adjunct, page 675-679. ACM, (2020)Exploring Unique App Signature of the Depressed and Non-depressed Through Their Fingerprints on Apps., and . PervasiveHealth, volume 431 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 218-239. Springer, (2021)Effort To Mitigate Malaria Via Early Detection Using Hybrid Machine Learning Architectures., , , , and . ICCTA, page 155-159. IEEE, (2021)Computer Vision-Based Bengali Sign Language To Text Generation., , , , , , and . IPAS, page 1-6. IEEE, (2022)A Comparative Analysis of Lumpy Skin Disease Prediction Through Machine Learning Approaches., , , , and . IICAIET, page 1-4. IEEE, (2022)A Minimalistic Approach to Predict and Understand the Relation of App Usage with Students' Academic Performance., , , , and . Proc. ACM Hum. Comput. Interact., 7 (MHCI): 1-28 (2023)A Rule Mining and Bayesian Network Analysis to Explore the Link Between Depression and Digital Behavioral Markers of Games App Usage., , , and . PervasiveHealth, volume 488 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 557-569. Springer, (2022)