IEEE

Tiny-RFNet: Enabling Modulation Classification of Radio Signals on Edge Systems

Abstract: Automatic Modulation Classification (AMC) is a key task to identify the type of modulation used to Radio Frequency (RF) communications. Conventional AMC methods are often computationally ...
IEEE

Minimum Distance Classification for Dynamical Systems and Sensors

Abstract: Sensors and systems often exhibit different dynamics in response to various stimuli. The problem of determining which of the dynamics has generated a given observation sequence is referred ...
IEEE

A Survey on Learning-Based Approaches for Modeling and Classification of Human–Machine Dialog Systems

Abstract: With the rapid development from traditional machine learning (ML) to deep learning (DL) and reinforcement learning (RL), dialog system equipped with learning mechanism has become the most ...
IGN

System Shock Review

Trapped in a hell he helped make, a lone hacker aboard a space station far from home sneaks and fights his way through horrible mutants and killer robots in order to take down the monstrous artificial ...
IEEE

Automatic Modulation Classification for OFDM Systems Using Bi-Stream and Attention-Based CNN-LSTM Model

Abstract: Existing deep learning (DL) models for automatic modulation classification (AMC) of orthogonal frequency division multiplexing (OFDM) signals consider only spatial or temporal attributes, ...
IEEE

A Machine Learning Approach to Rock and Mine Classification in Sonar Systems Using Logistic Regression

Abstract: The classification of underwater objects into rocks or mines is a vital task in naval security, marine exploration, and environmental studies. The current work introduces a machine ...
IEEE

Deep Learning-Based Recommendation System: Systematic Review and Classification

Abstract: In recent years, recommendation systems have become essential for businesses to enhance customer satisfaction and generate revenue in various domains, such as e-commerce and entertainment.
IEEE

A Classification Framework for Practice Exercises in Adaptive Learning Systems

Abstract: Learning systems can utilize many practice exercises, ranging from simple multiple-choice questions to complex problem-solving activities. In this article, we propose a classification ...
IEEE

Two-Stage Classification of Typical Joint Scenarios in Power Systems Based on Improved Iterative Selforganizing Data Analysis Technique Algorithm and Feature Hierarchical ...

Abstract: With the increasing proportion of renewable energy in the power system, the load, photovoltaic and wind power characteristics show complex dynamic changes, and the traditional single-element ...
IEEE

A Gated Graph Neural Network With Attention for Text Classification Based on Coupled P Systems

Abstract: Text classification is a classical task in natural language processing. Prior traditional text classification methods rely on manually extracted features to a great extent, which are easily ...
IEEE

RSSPN:Robust Semi-Supervised Prototypical Network for Fault Root Cause Classification in Power Distribution Systems

Abstract: The power distribution system’s fault root cause classification is an important but challenging problem. Traditional classifiers fail to achieve high accuracy and good generalization ...
IEEE

Topological Classification-Based Splitting–Combining Methodology for Analysis of Complex Multi-Loop Systems and Its Application in LDOs

Abstract: Multiple loops have been used extensively to enhance the system performance in various applications. However, the increasing complexity of multi-loop systems also makes them much more ...