Implementation of deep learning methods to identify rotten fruits
S Chakraborty, FMJM Shamrat… - … conference on trends …, 2021 - ieeexplore.ieee.org
Mostly in the agriculture sector, identifying rotten fruits has been critical. The classification of
fresh and rotting fruits is typically carried out by humans, which is ineffective for fruit growers …
fresh and rotting fruits is typically carried out by humans, which is ineffective for fruit growers …
Face Mask Detection using Convolutional Neural Network (CNN) to reduce the spread of COVID-19
FMJM Shamrat, S Chakraborty… - … conference on trends …, 2021 - ieeexplore.ieee.org
The COVID-19 coronavirus pandemic is wreaking havoc on the world's health. The
healthcare sector is in a state of disaster. Many precautionary steps have been taken to …
healthcare sector is in a state of disaster. Many precautionary steps have been taken to …
Performance evaluation among id3, c4. 5, and cart decision tree algorithm
FM Javed Mehedi Shamrat, R Ranjan… - … Computing and Social …, 2022 - Springer
Data is the most valuable resource in the present. Classifying the data and using the
classified data to make a decision holds the highest priority. Computers are trained to …
classified data to make a decision holds the highest priority. Computers are trained to …
[PDF][PDF] Internet of things based electrocardiogram monitoring system using machine learning algorithm
Rural residents also have restricted access to nursing and diagnostic services due to
obsolete healthcare infrastructure. Consequently, as cardiac failure occurs, they usually fail …
obsolete healthcare infrastructure. Consequently, as cardiac failure occurs, they usually fail …
A comprehensive study on pre-pruning and post-pruning methods of decision tree classification algorithm
FMJM Shamrat, S Chakraborty… - … conference on trends …, 2021 - ieeexplore.ieee.org
The decision tree is the most effective classification method. However, the results of the
decision tree can show errors due to overfitting or if the data is too noisy. This may cause the …
decision tree can show errors due to overfitting or if the data is too noisy. This may cause the …
A deep learning approach for face detection using max pooling
Deep learning is a trendy term these days, and it refers to a modern age in machine learning
in which algorithms are taught to identify patterns in vast amounts of data. It mostly refers to …
in which algorithms are taught to identify patterns in vast amounts of data. It mostly refers to …
Human face recognition applying haar cascade classifier
FM Javed Mehedi Shamrat, A Majumder… - … Computing and Social …, 2022 - Springer
Human face recognition is distinguished by a method of identifying facts or confirmation that
tests personality. The technique essentially relies on two stages, one is face identification …
tests personality. The technique essentially relies on two stages, one is face identification …
Sensor based Smart Automated Gas Leakage Detection and Prevention System
Liquefied petroleum gas (LPG) is commonly used for heating, cooking, automotive power,
and various other uses worldwide. LPG is a particularly flammable gas, and LPG leaks …
and various other uses worldwide. LPG is a particularly flammable gas, and LPG leaks …
An intelligent embedded AC automation model with temperature prediction and human detection
FM Javed Mehedi Shamrat, P Ghosh, I Mahmud… - … Technologies in Data …, 2021 - Springer
Automation in air condition is exceedingly challenging and demanding nowadays. Manually
controlling air condition is found as the problem to serve a lot of people at a time. In the …
controlling air condition is found as the problem to serve a lot of people at a time. In the …
Game Theory Approach for Energy Consumption Scheduling of a Community of Smart Grids
This study analyzes the potential of an independent method of dynamic pricing schemes to
reduce the peak demand in the neighborhood area. For this, this work develops a collective …
reduce the peak demand in the neighborhood area. For this, this work develops a collective …