[HTML][HTML] A hybrid machine learning model for classifying gene mutations in cancer using LSTM, BiLSTM, CNN, GRU, and GloVe
In our study, we introduce a novel hybrid ensemble model that synergistically combines
LSTM, BiLSTM, CNN, GRU, and GloVe embeddings for the classification of gene mutations …
LSTM, BiLSTM, CNN, GRU, and GloVe embeddings for the classification of gene mutations …
A Machine Learning Perspective on Daisy and Dandelion Classification: Gaussian Naive Bayes with Sobel
This study explores the classification of Daisy and Dandelion flowers using a Gaussian
Naive Bayes classifier, enhanced by Sobel segmentation and Hu moment feature extraction …
Naive Bayes classifier, enhanced by Sobel segmentation and Hu moment feature extraction …
[PDF][PDF] Classification of transformed and geometrically distorted images using convolutional neural network
Convolutional Neural Network is a deep learning method that is used in many image-related
applications, such as image recognition and classification, it has achieved great …
applications, such as image recognition and classification, it has achieved great …
Enhancing disease management in mango cultivation: A machine learning approach to classifying leaf diseases
This study explores the application of machine learning techniques in the agricultural
domain, focusing on the classification of two common diseases in mango leaves: Powdery …
domain, focusing on the classification of two common diseases in mango leaves: Powdery …
Rice Leaf Disease Classification with Machine Learning: An Approach Using Nu-SVM
This study explores the application of machine learning for classifying rice leaf diseases,
employing the Nu-Support Vector Machine (Nu-SVM) algorithm, analyzed through a 5-fold …
employing the Nu-Support Vector Machine (Nu-SVM) algorithm, analyzed through a 5-fold …
Performance Evaluation of Swin Vision Transformer Model using Gradient Accumulation Optimization Technique
Abstract Vision Transformers (ViTs) have emerged as a promising approach for visual
recognition tasks, revolutionizing the field by leveraging the power of transformer-based …
recognition tasks, revolutionizing the field by leveraging the power of transformer-based …
Automated Classification of Empon Plants: A Comparative Study Using Hu Moments and K-NN Algorithm
H Oumarou, N Rismayanti - Indonesian Journal of Data and …, 2023 - jurnal.yoctobrain.org
Abstract The study" Automated Classification of Empon Plants: A Comparative Study Using
Hu Moments and K-NN Algorithm" investigates the potential of image processing and …
Hu Moments and K-NN Algorithm" investigates the potential of image processing and …
An Ensemble Approach to Question Classification: Integrating Electra Transformer, GloVe, and LSTM
This paper introduces a novel ensemble approach for question classification using state-of-
the-art models--Electra, GloVe, and LSTM. The proposed model is trained and evaluated on …
the-art models--Electra, GloVe, and LSTM. The proposed model is trained and evaluated on …
Advancements in Agricultural Automation: SVM Classifier with Hu Moments for Vegetable Identification
This study investigates the application of Support Vector Machine (SVM) classifiers in
conjunction with Hu Moments for the purpose of classifying segmented images of …
conjunction with Hu Moments for the purpose of classifying segmented images of …
Comparative Analysis of LSTM and Ensemble LSTM Approaches for Gene Mutation Classification in Cancer
In this study, we present an in-depth comparison of five different deep learning approaches
for the classification of gene mutations based on a dataset provided by the Kaggle …
for the classification of gene mutations based on a dataset provided by the Kaggle …