18 citations · 21 across the 4 of their papers we have counts for
4 papers
BloodCell-Net: A lightweight convolutional neural network for the classification of all microscopic blood cell images of the human body
Sohag Kumar Mondal, Md. Simul Hasan Talukder, Mohammad Aljaidi +3
Blood cell classification and counting are vital for the diagnosis of various blood-related diseases, such as anemia, leukemia, and thrombocytopenia. The manual process of blood ce…
SugarcaneNet: An Optimized Ensemble of LASSO-Regularized Pre-trained Models for Accurate Disease Classification
Md. Simul Hasan Talukder, Sharmin Akter, Abdullah Hafez Nur +3
Sugarcane, a key crop for the world's sugar industry, is prone to several diseases that have a substantial negative influence on both its yield and quality. To effectively manage a…
Transformer-based Text Classification on Unified Bangla Multi-class Emotion Corpus
Md Sakib Ullah Sourav, Huidong Wang, Mohammad Sultan Mahmud +1
In this research, we propose a complete set of approaches for identifying and extracting emotions from Bangla texts. We provide a Bangla emotion classifier for six classes: anger,…
Efficient energy, cost reduction, and QoS based routing protocol for wireless sensor networks
Ghassan Samara, Mohammad Aljaidi
Recent developments and widespread in wireless sensor network have led to many routing protocols, many of these protocols consider the efficiency of energy as the ultimate factor t…