KRDO

Rebuilding faces and identifying tattoos, AI joins the search for the missing in Mexico

The Mexico City Prosecutor’s Office has used the “inpainting” technique, which uses artificial intelligence to fill in, ...
IEEE

Determining the Colliding Vehicle in Traffic Accidents Using Hybrid Machine Learning Algorithm

Abstract: In a world rife with vehicular accidents and traffic incidents, it is known that drivers are more likely than not to shift the blame in an accident rather than admit it. Other than that, ...
IEEE

Optimized Electric Vehicle Charging Scheduling Using a Cnn-Lstm Hybrid Deep Learning Model

Abstract: The rapid adoption of electric vehicles (EVs) has resulted in considerable issues in the management of charging stations, especially in forecasting charging demand and optimising energy ...
IEEE

Machine-Learning Algorithm Applied to Magnetic Localization

Abstract: Magnetic localization does not require line of sight, this makes it suitable for various applications, including indoor navigation, surgical tracking, motion capture, and 3D body scanning.
IEEE

Reinforcement Learning Algorithm Helps Optimize Personalized Cognitive Behavioral Therapy for Anxiety Disorders

Abstract: This paper explores the application of reinforcement learning (RL) algorithms in optimizing personalized cognitive behavioral therapy (CBT) for anxiety disorders. Traditional CBT often lacks ...
IEEE

Automated Differentiation of Homework Tasks in Distance Learning: Integrating Artificial Intelligence and Genetic Algorithm

Abstract: Given that homework submissions are conducted electronically, plagiarism in distance education has become a prevalent issue. To provide tailored assignments for different learners while ...
IEEE

A Meta-Learning-Based Federated Surrogate-Assisted Evolutionary Algorithm for Dynamic Expensive Optimization

Abstract: In recent years, surrogate-assisted evolutionary algorithms (SAEAs) have been extensively utilized to address expensive optimization problems. However, it becomes a great challenge how to ...
IEEE

Deep Learning for Satellite Image Classification: A Comparative Analysis of CNN and ResNet-18

Abstract: With the ease of classifying land through satellite imaging, remote sensing has captured the Earth observation domain. Traditional methods for analyzing satellite images relied on manual ...
IEEE

Deep Learning for Multi-Class DDoS Detection in SDNs: A CNN-LSTM Based Approach

Abstract: Recently Distributed Denial of Service (DDoS) attacks have increased extensively, taking about 35% of all cyber threats among which the attack characteristic rises around 300% within the ...
IEEE

Research on Industrial Robot Motion Planning Algorithm Based on Deep Learning

Abstract: This research converges on the motion planning algorithm of industrial robots based on deep learning. During the research process, a dataset encompassing a vast number of industrial robot ...
IEEE

Multi-machine Adaptive Freezing algorithm for Enhanced Pipeline Parallelism Training in 6G Networks

Abstract: As the scale of deep learning models continues to expand, computational cost has become a major challenge. Model parallelism techniques, especially pipeline parallelism, have been shown to ...
IEEE

CNN-Transformer-Bi-LSTM: A Hybrid Deep Learning Framework for Wearable Sensor-Based Human Activity Recognition

Abstract: Human activity recognition (HAR) focuses on identifying and classifying human activities based on data collected from various sources. Its importance lies in its wide range of applications, ...