出版物
私たちの研究貢献と科学論文
Showing 4 publication
Machine Learning-Assisted Interference Management in the 6G UAV Networks with S…
Md. Sakir Hossain, Md. Imran Ahmed, Rayhan Khan Ridoy, Mirza Hasibul Hasan, Md. Shakhawat Hossain
Sixth-generation (6G) wireless networks are envisioned to be ubiquitous. To ensure ubiquity and seamless connectivity, networks with unmanned aerial vehicles (UAVs) are envisioned as …
Review of artifact detection methods for automated analysis and diagnosis in di…
Hossain Shakhawat, Sakir Hossain, Alamgir Kabir, SM Hasan Mahmud, MM Manjurul Islam, Faisal Tariq
This chapter introduces the whole slide imaging system and the major artifacts found in whole slide image (WSI), addresses the challenges of automated analysis …
Automatic grading of invasive breast cancer patients for the decision of therap…
Hossain Shakhawat, Matthew Hanna, Kareem Ibrahim, Rene Serrette, Peter Ntiamoah, Marcia Edelweiss, Edi Brogi, Meera Hameed, Masahiro Yamaguchi, Dara …
This chapter discusses an automatic system designed using whole slide imaging (WSI) and artificial intelligence (AI) technology to grade invasive breast cancer patients enabling …
Real-Time Facemask Detection Using Deep Convolutional Neural Network-Based Tran…
Jakaria Islam Emon, MM Manjurul Islam, Syeda Amina Abedin, Shakhawat Hossain, Rupam Kumar Das
In response to the rapid outbreak of COVID-19, this chapter presents an automated facemask detection technology in a real-time video stream using a deep …
Machine Learning-Assisted Interference Management in the 6G UAV Networks with Soft Frequency Reuse
Md. Sakir Hossain, Md. Imran Ahmed, Rayhan Khan Ridoy, Mirza Hasibul Hasan, Md. Shakhawat Hossain
Sixth-generation (6G) wireless networks are envisioned to be ubiquitous. To ensure ubiquity and seamless connectivity, networks with unmanned aerial vehicles (UAVs) are envisioned as a potential solution. However, many challenges are still ahead to make such networks practically feasible. …
Review of artifact detection methods for automated analysis and diagnosis in digital pathology
Hossain Shakhawat, Sakir Hossain, Alamgir Kabir, SM Hasan Mahmud, MM Manjurul Islam, Faisal Tariq
This chapter introduces the whole slide imaging system and the major artifacts found in whole slide image (WSI), addresses the challenges of automated analysis caused by the artifacts, and reviews the existing artifact detection methods. The WSI scanner is …
Automatic grading of invasive breast cancer patients for the decision of therapeutic plan
Hossain Shakhawat, Matthew Hanna, Kareem Ibrahim, Rene Serrette, Peter Ntiamoah, Marcia Edelweiss, Edi Brogi, Meera Hameed, Masahiro Yamaguchi, Dara Ross, Yukako Yagi
This chapter discusses an automatic system designed using whole slide imaging (WSI) and artificial intelligence (AI) technology to grade invasive breast cancer patients enabling therapeutic decisions. This chapter presents an automatic Human epidermal receptor growth factor receptor 2 (HER2) …
Real-Time Facemask Detection Using Deep Convolutional Neural Network-Based Transfer Learning
Jakaria Islam Emon, MM Manjurul Islam, Syeda Amina Abedin, Shakhawat Hossain, Rupam Kumar Das
In response to the rapid outbreak of COVID-19, this chapter presents an automated facemask detection technology in a real-time video stream using a deep convolutional neural network based transfer learning mechanism. In the training phase, visual geometry group network …