A Hybrid Machine Learning Framework to Improve Parkinson's Disease Prediction Accuracy
A Study of Project Description Inference Using Method Name Elements for Software Upcycling
Advancements in Ship Detection: Comparative Analysis of Optical and Hyperspectral Sensors
Advancing a Cascaded Machine Learning Approach for the Accurate Estimation of Antenna Parameters
An Analysis of Blockchain Frameworks for Electronic Health Records Using Hyperledger
An Ensemble-Based Dates Classification Systems
An Extensive Evaluation of Plant Disease Detection Using Diverse Machine Learning Approaches
An Intelligent Edge-Deployable Indoor Air Quality Monitoring and Activity Recognition Approach
Attentive Regularization in Targeted Kernel Networks for Accurate Diabetic Retinopathy Grading
Automated Mapping Method for Sysmon Logs to ATT&CK Techniques by Leveraging Atomic Red Team
Blockchain-Enabled DNS: Enhancing Security and Mitigating Attacks in Domain Name Systems
Current Topological and Machine Learning Applications for Bias Detection in Text
Deep Learning-Based Human Tracking, Face Mask and Social Distance Monitoring, Systems Using YOLOv5
Detecting Wasted Resources in Hydroponic Systems
DiffT: A Novel Approach for Privacy-Preserving Data Analytics
Emirati Sign Language Recognition Using YOLOv5
Enhanced Image Encryption Using the Hénon Map, the LCG and the Lorenz System
Enhancing Brain Tumour Diagnosis with Augmented Reality Rendering-Based 6 DoF Object Pose Estimation
Enhancing Kinship Verification Through Multiscale Retinex and Combined Deep-Shallow Features
Experimental Benchmarking of Quantum Machine Learning Classifiers
Exploring 2D Representation and Transfer Learning Techniques to Identify People on Indoor Localizati
"Harnessing Transformers: A Leap Forward in Cancer Detection Through Image Analysis
HTTP Header Reordering-Based Covert Channel Protocol
Human Action Recognition Using Attention EfficientNet
Hybrid Whale-Mud-Ring Optimization for Precise Color Skin Cancer Image Segmentation
IMU-Based Human Activity Recognition Using Machine Learning and Deep Learning Models
Investigating the Impact of Sampling Techniques on an Imbalanced Classification Problem
Landslide Disaster Assessment with Integration of Social Media and Remote Sensing
Laser Phase Noise Mitigation Based on Autoencoder for End-To-End Learning of CO-OFDM Systems
LLM-Based Attack Scenarios Generator with IT Asset Management and Vulnerability Information
Multi-Disease Retinal Vessel Segmentation: A Deep Learning Approach
Node Localization in WSN Using the Slime Mould Algorithm
On the Sensitivity of Deep Load Disaggregation to Adversarial Attacks
Opportunities and Challenges of Big Data Technology in Retail Industry
Plug-And-Play Enhanced Compressive Sensing for Limited Sample PAT Image Reconstruction
Predicting Temperature Change in the UAE Using Linear Regression and the LSTM Method
Quadrotor Experimental Dynamic Identification with Comprehensive NARX Neural Networks
Real-Time Obstacle Detection for Visually Impaired People Using Deep Learning
Recognition of Pre-Emergency Situations During Oil Wells Exploitation Based on Telemetry Analysis
Secure Key Exchange Scheme and Blockchain-Oriented Data Protection in the Internet of Vehicles
Smart Endotracheal Intubation Real-Time Visual Feedback and Edge Detection for Enhanced Procedure
TAQWA: Teaching Adolescents Quality Wadhu/Ablution Contactlessly Using Deep Learning
Transforming Healthcare: Raabin White Blood Cell Classification with Vision Transformers
Using Data Integration Platform for Effective Location-Aware Service Development Platform
| 
