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10/22/2020
Prediction of Temperature and Rainfall in Bangladesh using Long Short Term Memory Recurrent Neural Networks
Temperature and rainfall have a significant impact on economic growth as...
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10/03/2020
Deep Convolutional Neural Networks Model-based Brain Tumor Detection in Brain MRI Images
Diagnosing Brain Tumor with the aid of Magnetic Resonance Imaging (MRI) ...
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12/11/2019
Performance Analysis of Deep Autoencoder and NCA Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers
The central aim of this paper is to implement Deep Autoencoder and Neigh...
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09/12/2019
Recognition of Handwritten Digit using Convolutional Neural Network in Python with Tensorflow and Comparison of Performance for Various Hidden Layers
In recent times, with the increase of Artificial Neural Network (ANN), d...
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04/01/2019
Implementation of Fruits Recognition Classifier using Convolutional Neural Network Algorithm for Observation of Accuracies for Various Hidden Layers
Fruit recognition using Deep Convolutional Neural Network (CNN) is one o...
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02/26/2019
Unsupervised Segmentation Algorithms' Implementation in ITK for Tissue Classification via Human Head MRI Scans
Tissue classification is one of the significant tasks in the field of bi...
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09/22/2018
Implementation of Fuzzy C-Means and Possibilistic C-Means Clustering Algorithms, Cluster Tendency Analysis and Cluster Validation
In this paper, several two-dimensional clustering scenarios are given. I...
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09/17/2018
ADBSCAN: Adaptive Density-Based Spatial Clustering of Applications with Noise for Identifying Clusters with Varying Densities
Density-based spatial clustering of applications with noise (DBSCAN) is ...
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09/17/2018
Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Neural Network Algorithm
In recent days, Artificial Neural Network (ANN) can be applied to a vast...
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09/17/2018
Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Convolutional Neural Network
Nowadays, deep learning can be employed to a wide ranges of fields inclu...
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09/17/2018
