7 Result(s)
within
Rashidul Hasan Hridoy
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Chapter and Conference Paper
A Systematic Analysis for Machine Learning Based Cow Price Prediction
Cow meets a significant number of demands for meats in South Asian countries, and a huge number of cows were sold in Bangladesh on the eve of Eid al-Adha. Cow prices depend on several factors, and determining ...
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Chapter and Conference Paper
An LSTM-Based Word Prediction in Bengali
In this paper, Bengali text information has been utilized for predicting the next word contingent based on the previous one. To do that, one should consider two key aspects such as the natural language process...
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Chapter and Conference Paper
Machine Learning-Based Depression Detection
Depression is an extremely serious illness of humans which causes constant mood swings and feelings of sadness. Nowadays, it is considered to be a deadly disorder in the world. At present, everyone from young ...
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Chapter and Conference Paper
A Deep Multi-scale Feature Fusion Approach for Early Recognition of Jute Diseases and Pests
Diseases and pests of jute hinder the quality production of fiber which is a malignant threat to the jute industry, causing severe financial losses to cultivators. Early recognition of diseases and pests of ju...
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Chapter and Conference Paper
BGCNN: A Computer Vision Approach to Recognize of Yellow Mosaic Disease for Black Gram
The yellow mosaic disease is a common black gram leaf disease that causes severe economic losses to local farmers and a hindrance to healthy production which can be prevented by computer vision based fast and ...
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Chapter and Conference Paper
A Deep Neural Networks-Based Food Recognition Approach for Hypertension Triggering Food
In today’s world, high blood pressure has become a major issue for many people. The prevalence o...
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Chapter and Conference Paper
Deep Neural Networks-Based Recognition of Betel Plant Diseases by Leaf Image Classification
Diseases of the betel plant are a hindrance to healthy production which causes severe economic losses and is a major threat to the growing betel leaf industry. This paper introduces an efficient recognition ap...
