Abdulaziz Anorboev
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View article: IMed-CNN: Ensemble Learning Approach With Systematic Model Dropout for Enhanced Medical Image Classification Using Image Channels and Pixel Intervals
IMed-CNN: Ensemble Learning Approach With Systematic Model Dropout for Enhanced Medical Image Classification Using Image Channels and Pixel Intervals Open
To obtain light ensemble model through clearly explained effective ensemble member selection and finding data representation in various valuable forms are major challenges in medical image classification tasks. Despite numerous deep learni…
View article: Selective Intensity Ensemble Classifier (SIEC): A Triple-Threshold Strategy for Microscopic Malaria Cell Image Classification
Selective Intensity Ensemble Classifier (SIEC): A Triple-Threshold Strategy for Microscopic Malaria Cell Image Classification Open
Accurate malaria detection in resource-limited settings requires robust solutions—here, we introduce a selective intensity ensemble classifier (SIEC) that applies a triple-threshold strategy for enhanced microscopic image classification. T…
View article: Optimized Epoch Selection Ensemble: Integrating Custom CNN and Fine-Tuned MobileNetV2 for Malimg Dataset Classification
Optimized Epoch Selection Ensemble: Integrating Custom CNN and Fine-Tuned MobileNetV2 for Malimg Dataset Classification Open
In this paper, we introduce the Optimized Epoch Selection Ensemble, a new model designed to address key challenges in the application of deep learning within network security, specifically focusing on the effective selection of ensemble me…
View article: ICNN-Ensemble: An Improved Convolutional Neural Network Ensemble Model for Medical Image Classification
ICNN-Ensemble: An Improved Convolutional Neural Network Ensemble Model for Medical Image Classification Open
Deep learning (DL) classification has become a major research topic in the areas of cancer prediction, image cell classification, and image classification in medicine. Furthermore, DL classification is the core of other subfields. Owing to…
View article: KeepNMax: Keep N Maximum of Epoch-Channel Ensemble Method for Deep Learning Models
KeepNMax: Keep N Maximum of Epoch-Channel Ensemble Method for Deep Learning Models Open
Computer vision (CV) application is becoming a crucial factor for the growth of developed economies in the world. The widespread use of CV applications has created a growing demand for accurate models. Therefore, the subfields of CV focus …
View article: MICL-UNet: Multi-Input Cross-Layer UNet Model for Classification of Diseases in Agriculture
MICL-UNet: Multi-Input Cross-Layer UNet Model for Classification of Diseases in Agriculture Open
Agricultural diseases severely impact productivity and result in significant economic losses in the agricultural sector. Current monitoring practices are predominantly individualized, making them inefficient and challenging for farmers to …
View article: Ensemble of top3 prediction with image pixel interval method using deep learning
Ensemble of top3 prediction with image pixel interval method using deep learning Open
Computer vision (CV) has been successfully used in picture categorization applications in various fields, including medicine, production quality control, and transportation systems. CV models use an excessive number of photos to train pote…