12 citations · 43 across the 17 of their papers we have counts for
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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…
JutePestDetect: An Intelligent Approach for Jute Pest Identification Using Fine-Tuned Transfer Learning
Md. Simul Hasan Talukder, Mohammad Raziuddin Chowdhury, Md Sakib Ullah Sourav +8
In certain Asian countries, Jute is one of the primary sources of income and Gross Domestic Product (GDP) for the agricultural sector. Like many other crops, Jute is prone to pest…
PotatoPestNet: A CTInceptionV3-RS-Based Neural Network for Accurate Identification of Potato Pests
Md. Simul Hasan Talukder, Rejwan Bin Sulaiman, Mohammad Raziuddin Chowdhury +2
Potatoes are the third-largest food crop globally, but their production frequently encounters difficulties because of aggressive pest infestations. The aim of this study is to inve…
A Comparative Analysis of CNN-Based Pretrained Models for the Detection and Prediction of Monkeypox
Sourav Saha, Trina Chakraborty, Rejwan Bin Sulaiman +1
Monkeypox is a rare disease that raised concern among medical specialists following the convi-19 pandemic. It's concerning since monkeypox is difficult to diagnose early on because…
Efficient approach of using CNN based pretrained model in Bangla handwritten digit recognition
Muntarin Islam, Shabbir Ahmed Shuvo, Musarrat Saberin Nipun +5
Due to digitalization in everyday life, the need for automatically recognizing handwritten digits is increasing. Handwritten digit recognition is essential for numerous application…
CNN based Intelligent Streetlight Management Using Smart CCTV Camera and Semantic Segmentation
Md Sakib Ullah Sourav, Huidong Wang, Mohammad Raziuddin Chowdhury +1
One of the most neglected sources of energy loss is streetlights which generate too much light in areas where it is not required. Energy waste has enormous economic and environment…
Efficiency Comparison of AI classification algorithms for Image Detection and Recognition in Real-time
Musarrat Saberin Nipun, Rejwan Bin Sulaiman, Amer Kareem
Face detection and identification is the most difficult and often used task in Artificial Intelligence systems. The goal of this study is to present and compare the results of seve…