Surface defect detection methods for industrial products with imbalanced samples: A review of progress in the 2020s
Industrial products typically lack defects in smart manufacturing systems, which leads to an
extremely imbalanced task of recognizing surface defects. With this imbalanced sample …
extremely imbalanced task of recognizing surface defects. With this imbalanced sample …
Depression detection from social networks data based on machine learning and deep learning techniques: An interrogative survey
KM Hasib, MR Islam, S Sakib, MA Akbar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Users can interact with one another through social networks (SNs) by exchanging
information, delivering comments, finding new information, and engaging in discussions that …
information, delivering comments, finding new information, and engaging in discussions that …
Bmnet-5: A novel approach of neural network to classify the genre of bengali music based on audio features
Music genre classification (MGC) is the process of putting genre labels on music by
analyzing the sounds or words. With the rapid growth of music data repositories, MGC can …
analyzing the sounds or words. With the rapid growth of music data repositories, MGC can …
Mcnn-lstm: Combining cnn and lstm to classify multi-class text in imbalanced news data
Searching, retrieving, and arranging text in ever-larger document collections necessitate
more efficient information processing algorithms. Document categorization is a crucial …
more efficient information processing algorithms. Document categorization is a crucial …
A machine learning and explainable ai approach for predicting secondary school student performance
KM Hasib, F Rahman, R Hasnat… - 2022 IEEE 12th Annual …, 2022 - ieeexplore.ieee.org
An essential component of the educational activity is rigorous examination and assessment
of students' results, with a potential substantial influence on student growth. This paper offers …
of students' results, with a potential substantial influence on student growth. This paper offers …
UnrollingNet: An attention-based deep learning approach for the segmentation of large-scale point clouds of tunnels
A novel projection-based learning method named UnrollingNet is developed to conduct a
multi-label segmentation of various objects including seepage from 3D point clouds of …
multi-label segmentation of various objects including seepage from 3D point clouds of …
Transfer learning-based multi-scale denoising convolutional neural network for prostate cancer detection
KT Chui, BB Gupta, HR Chi, V Arya, W Alhalabi… - Cancers, 2022 - mdpi.com
Simple Summary To enhance the automatic diagnosis of the prostate cancer using machine
learning algorithm, we modify the design of convolutional neural network to support multi …
learning algorithm, we modify the design of convolutional neural network to support multi …
Online review based sentiment classification on bangladesh airline service using supervised learning
KM Hasib, NA Towhid… - 2021 5th international …, 2021 - ieeexplore.ieee.org
Still leading main common modes of transportation we use on a daily basis is flying by
airplane. Online reviews are becoming increasingly popular as a way for travelers to discuss …
airplane. Online reviews are becoming increasingly popular as a way for travelers to discuss …
An overview of bengali speech recognition: Methods, challenges, and future direction
N Tasnia, M Islam, MS Rony, N Tanzim… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
In the subject of human-computer interactions, speech recognition is an appealing
technique that gives users the opportunity to interact with and control the machine. Currently …
technique that gives users the opportunity to interact with and control the machine. Currently …
Covid-19 prediction based on infected cases and deaths of bangladesh using deep transfer learning
KM Hasib, S Sakib, J Al Mahmud… - 2022 IEEE World AI …, 2022 - ieeexplore.ieee.org
The severely infectious virus known as “COVID-19” has wreaked havoc on the planet,
trapping to keep the disease from spreading, while billions of people are staying inside …
trapping to keep the disease from spreading, while billions of people are staying inside …