IEEE

Dual-Targeted Textfooler Attack on Text Classification Systems

Abstract: Deep neural networks provide good performance on classification tasks such as those for image, audio, and text classification. However, such neural networks are vulnerable to adversarial ...
MyHorryNews

Loris High to appeal SCHSL's classification placement, Mance ends retirement talk

Loris High School will appeal the South Carolina High School League (SCHSL)'s classification placement for the 2026-28 ...
IEEE

Online Fault Diagnosis, Classification, and Localization in Photovoltaic Systems

Abstract: Owing to the consumers’ growing tendency to solar energy, monitoring and detecting possible faults in the photovoltaic (PV) systems are very important. Since common protection systems are ...
IEEE

A Comprehensive Classification of State-of-the-Art Distributed Maximum Power Point Tracking Architectures for Photovoltaic Systems

Abstract: In photovoltaic (PV) systems, unavoidable factors, such as partial shading, nonoptimal mounting angles of PV modules, and accumulation of dust result in mismatches, consequently diminishing ...
IEEE

3D Object Classification with Selective Multi-View Fusion and Shape Rendering

Abstract: 3D classification is complex and challenging because of high-dimensional data, the intricate nature of their spatial relationships, and viewpoint variations. We fill the gap in view-based 3D ...
IEEE

Classification of WPT Systems: Categorization, Differentiation and Overview of Industrial Wireless Power Transfer Systems

Abstract: Convertible production is a central element of Industry 4.0 and focuses on the modular design of production equipment. In this sense, wireless power transfer systems are becoming ...
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 ...