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FLTrans-Net: Transformer-based feature learning network for wheat head detection
The accurate identification of wheat heads is critical for assessing production and managing
agricultural fields effectively. One major challenge lies in detecting overlap** and small …
agricultural fields effectively. One major challenge lies in detecting overlap** and small …
[HTML][HTML] MFAN: multi-feature attention network for breast cancer classification
Cancer-related diseases are some of the major health hazards affecting individuals globally,
especially breast cancer. Cases of breast cancer among women persist, and the early …
especially breast cancer. Cases of breast cancer among women persist, and the early …
[HTML][HTML] A Deep Ensemble Learning Approach Based on a Vision Transformer and Neural Network for Multi-Label Image Classification
AW Abulfaraj, F Binzagr - Big Data and Cognitive Computing, 2025 - mdpi.com
Convolutional Neural Networks (CNNs) have proven to be very effective in image
classification due to their status as a powerful feature learning algorithm. Traditional …
classification due to their status as a powerful feature learning algorithm. Traditional …
[HTML][HTML] A Stacking Ensemble Based on Lexicon and Machine Learning Methods for the Sentiment Analysis of Tweets
SJ Malebary, AW Abulfaraj - Mathematics, 2024 - mdpi.com
Sentiment is employed in various fields, such as collecting web-based opinions for the
formulation of governmental policies, measuring employee and customer satisfaction levels …
formulation of governmental policies, measuring employee and customer satisfaction levels …