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Knee Osteoarthritis Detection and Classification Using X-Rays
PY002CM
A Deep Learning Ensemble With Data Resampling for Credit Card Fraud Detection
PY003CM
Pattern Recognition of Acute Lymphoblastic Leukemia (ALL) Using Computational Deep Learning
PY004CM
Detection of Real-Time Malicious Intrusions and Attacks in IoT Empowered Cybersecurity Infrastructures
PY005CM
DeepSkin: A Deep Learning Approach for Skin Cancer Classification
PY006CM
DeepCurvMRI: Deep Convolutional Curvelet Transform- Based MRI Approach for Early Detection of Alzheimer’s Disease
PY007CM
A New Method for Diagnosing Motor Bearing Faults Based on Gramian Angular Field Image Coding and Improved CNN-ELM
PY008CM
A Stock Price Prediction Model Based on Investor Sentiment and Optimized Deep Learning
PY009CM
Detection of Tomato Leaf Diseases for Agro-Based Industries Using Novel PCA DeepNet
PY010CM
G2-ResNeXt: A Novel Model for ECG Signal Classification
PY011CM
Lightweight EfficientNetB3 Model Based on Depthwise Separable Convolutions for Enhancing Classification of Leukemia White Blood Cell Images
PY012CM
Role of Zoning in Facial Expression Using Deep Learning
PY013CM
Unsupervised Learning Composite Network to Reduce Training Cost of Deep Learning Model for Colorectal Cancer Diagnosis
PY014CM
Learning Speech Emotion Representations in the Quaternion
PY015CM
Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data
PY016CM
Robust IoT Malware Detection and Classification Using Opcode Category Features on Machine Learning
PY017CM
Impact of Nutritional Factors in Blood Glucose Prediction in Type 1 Diabetes Through Machine Learning
PY018CM
Fraud Detection in Banking Data by Machine Learning Techniques
PY019CM
Active Learning Based on Transfer Learning Techniques for Text Classification
PY020CM
A Holistic Approach on Airfare Price Prediction Using Machine Learning Techniques
PY021CM
A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders
PY022CM
Diagnosis of Malaria Using Double Hidden Layer Extreme Learning Machine Algorithm With CNN Feature Extraction and Parasite Inflator
PY023CM
Predicting Coronary Heart Disease Using an Improved LightGBM Model: Performance Analysis and Comparison
PY024CM
FMDADM: A Multi-Layer DDoS Attack Detection and Mitigation Framework Using Machine Learning for Stateful SDN-Based IoT Networks
PY025CM
Breast Cancer Classification Using Equivariance Transition in Group Convolutional Neural Networks
PY026CM
Modality Specific CBAM-VGGNet Model for the Classification of Breast Histopathology Images via Transfer Learning
PY027CM
Classification of IHC Images of NATs With ResNet-FRP- LSTM for Predicting Survival Rates of Rectal Cancer Patients
PY028CM
Moanna: Multi-Omics Autoencoder-Based Neural Network Algorithm for Predicting Breast Cancer Subtypes
PY029CM
GARL-Net: Graph Based Adaptive Regularized Learning Deep Network for Breast Cancer Classification
PY030CM
Automated Molecular Subtyping of Breast Carcinoma Using Deep Learning Techniques
PY031CM
Multi-Input Deep Learning Approach for Breast Cancer Screening Using Thermal Infrared Imaging and Clinical Data
PY032CM
An Interpretable Skin Cancer Classification Using Optimized Convolutional Neural Network for a Smart Healthcare System
PY033CM
Deep Skin: A Deep Learning Approach for Skin Cancer Classification
PY034CM
Automated Molecular Subtyping of Breast Carcinoma Using Deep Learning Techniques
PY035CM
Diagnosis of Skin Vascular Complications Revealed by Time-Frequency Analysis and Laser Doppler Spectrum Decomposition
PY036CM
Pattern Recognition of Acute Lymphoblastic Leukemia (ALL) Using Computational Deep Learning
PY037CM
Skin Medical Image Captioning Using Multi-Label Classification and Siamese Network
PY038CM
A CNN-Model to Classify Low-Grade and High-Grade Glioma From MRI Images
PY039CM
Segmentation Method of Deterministic Feature Clustering for Identification of Brain Tumor Using MRI
PY040CM
Glioma Grade Classification Using CNNs and Segmentation With an Adaptive Approach Using Histogram Features in Brain MRIs
PY041CM
LCDEiT: A Linear Complexity Data-Efficient Image Transformer for MRI Brain Tumor Classification
PY042CM
CrossTransUnet: A New Computationally Inexpensive Tumor Segmentation Model for Brain MRI
PY043CM
Prediction of Survival of Glioblastoma Patients Using Local Spatial Relationships and Global Structure Awareness in FLAIR MRI Brain Images
PY044CM
Classification of Diabetic Retinopathy Disease Levels by Extracting Topological Features Using Graph Neural Networks
PY045CM
Deep Transfer Learning Strategy to Diagnose Eye-Related Conditions and Diseases: An Approach Based on Low-Quality Fundus Images
PY046CM
Internet of Things and Deep Learning Enabled Diabetic Retinopathy Diagnosis Using Retinal Fundus Images
PY047CM
A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images
PY048CM
Dual-Path and Multi-Scale Enhanced Attention Network for Retinal Diseases Classification Using Ultra-Wide- Field Images
PY049CM
An Efficient and Light Weight Deep Learning Model for Accurate Retinal Vessels Segmentation
PY050CM
A Novel Fusion Model of Hand-Crafted Features With Deep Convolutional Neural Networks for Classification of Several Chest Diseases Using X-Ray Images
PY051CM
A Novel Lung Nodule Accurate Segmentation of PET-CT Images Based on Convolutional Neural Network and Graph Model
PY052CM
An Improved Densenet Deep Neural Network Model for Tuberculosis Detection Using Chest X-Ray Images
PY053CM
Loop Residual Attention Network for Automatic Segmentation of COVID-19 Chest X-Ray Images
PY054CM
SD-GAN: A Style Distribution Transfer Generative Adversarial Network for Covid-19 Detection Through X-Ray Images
PY055CM
Lung Nodule Segmentation Algorithm With SMR-UNet
PY056CM
Abnormality Detection in Chest X-Rayvia Residual-Saliency From Normal Generation
PY057CM
Deep Survival Analysis With Clinical Variables for COVID-19
PY058CM
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images
PY059CM
Dynamic Community Detection for Brain Functional Networks During Music Listening With Block Component Analysis
PY060CM
ECG Measurement System for Vehicle Implementation and Heart Disease Classification Using Machine earning
PY061CM
G2-ResNeXt: A Novel Model for ECG Signal Classification
PY062CM
HoVer-Trans: Anatomy-Aware HoVer-Transformer for OI-Free Breast Cancer Diagnosis in Ultrasound Images
PY063CM
Lung Nodule Segmentation Algorithm With SMR-UNet
PY064CM
Semi-Supervised Medical Image Segmentation Using Adversarial Consistency Learning and Dynamic Convolution Network
PY065CM
Prediction of Chronic Kidney Disease Using Adaptive Hybridized Deep Convolutional Neural Network on the Internet of Medical Things Platform
PY066CM
Classification of Liver Fibrosis From Heterogeneous Ultrasound Image
PY067CM
A Deep Features Extraction Model Based on the Transfer Learning Model and Vision Transformer ‘‘TLMViT’’ for Plant Disease Classification
PY068CM
A High-Quality Rice Leaf Disease Image Data Augmentation Method Based on a Dual GAN
PY069CM
A Machine Learning Based Framework for a Stage-Wise Classification of Date Palm White Scale Disease
PY070CM
Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms
PY071CM
Development of an Adaptive Linear Mixture Model for Decomposition of Mixed Pixels to Improve Crop Area Estimation Using Artificial Neural Network
PY072CM
Accelerating Crop Yield: Multi sensor Data Fusion and Machine Learning for Agriculture Text Classification
PY073CM
Field Plant: A Dataset of Field Plant Images for Plant Disease Detection and Classification With Deep Learning
PY074CM
Detection of Tomato Leaf Diseases for Agro-Based Industries Using Novel PCA Deep Net
PY075CM
Using Deep Learning Model to Identify Iron Chlorosis in Plants
PY076CM
Detection of Apple Plant Diseases Using Leaf Images Through Convolutional Neural Network
PY077CM
3D-CNN and Auto encoder-Based Gas Detection in Hyper spectral Images
PY078CM
Anomaly Detection Based on Tree Topology for Hyperspectral Images
PY079CM
Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms
PY080CM
Hyperspectral Image Classification Based on Fusion of Convolutional Neural Network and Graph Network
PY081CM
Hyperspectral Image Super resolution via Subspace-Based Deep Prior Regularization
PY082CM
Improved Three-Dimensional Inception Networks for Hyperspectral Remote Sensing Image Classification
PY083CM
MBAHIL: Design of a Multimodal Hybrid Bioinspired Model for Augmentation of Hyperspectral Imagery via Iterative Learning for Continuous Efficiency Enhancements
PY084CM
Model-Guided Deep Unfolded Fusion Network With Nonlocal Spatial-Spectral Priors for Hyperspectral Image Super-Resolution
PY085CM
Multiscale Adaptive Fusion Network for Hyperspectral Image Denoising
PY086CM
Piecewise Weighted Smoothing Regularization in Tight Framelet Domain for Hyperspectral Image Restoration
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