IEEE

Depression Classification Algorithm Based on Voice Signals Using MFCC and CNN Autoencoders

Abstract: Depression is a very common mental illness. In severe cases, it is a scary disease that can lead to suicide. Consequently, early diagnosis is essential because it can improve with ...

WriteNinja.AI Launches Breakthrough Content Algorithm that Bypasses AI Detectors

WriteNinja.AI, a technology firm specializing in artificial intelligence content solutions, announced today the launch of an advanced content algorithm designed to transform AI-generated text into ...
IEEE

Syntax-Oriented Shortcut: A Syntax Level Perturbing Algorithm for Preventing Text Data From Being Learned

Abstract: The vast availability of free data has been critical to the success of large language models (LLMs). With the widespread use of LLMs, more and more concerns have been raised about the ...
IEEE

Bi-Level Optimization of Electric Vehicle Charging Scheduling Using Hybrid Genetic Algorithm and Reinforcement Learning

Abstract: The efficient management of electric vehicle (EV) charging infrastructure is critical to meeting the growing demand for sustainable transportation. This study addresses the Electric Vehicle ...
IEEE

Research on the Improved Control Algorithm of Virtual Synchronous Generator Based on T-Type Three-Level Inverter

Abstract: This paper investigates the control strategy of the grid-connected T-type three-level inverter, aiming to enhance the power angle stability of the inverter system under large grid ...
IEEE

Research on Neural Network Fusion Algorithm of Pension Participation Rate Based on Word Frequency Analysis

Abstract: Population aging is a significant trend in human societal development, emphasizing the urgent need to build a pension service system that aligns with this aging process. Therefore, ...
IEEE

A Level-Based Distributed Recursive Self-Healing Algorithm of Unmanned Aerial Vehicle Swarm

Abstract: In adversarial environments, unmanned aerial vehicle (UAV) swarms often face challenges such as node failures, battle damage, and strong electromagnetic interference, which may result in ...
IEEE

Application of CNN and KNN Algorithms for Casting Defect Classification

The study abstract outlines the utilization of advanced machine learning to identify and categorize casting defects such as Blowholes, Pinholes, and Swell with high precision, recall, and F1-scores.
IEEE

Block-Level Matching Recognition Algorithm for OpenStreetMap and Segments From High-Resolution Remote Sensing

Abstract: With the rapid advancements in remote sensing (RS) and geographic information systems (GIS), their integration has made significant progress. However, RS data faces challenges such as ...
IEEE

Evaluating HLS4ML For Converting a CNN Model Into High Level Synthesis

Abstract: Deep learning models, although high-performing, often require hardware acceleration to be effectively deployed on Field Programmable Gate Arrays (FPGAs). This paper investigates the use of ...
IEEE

Enhancing Machine Learning Models Using a Hierarchical Two-Level Genetic Algorithm for Feature Engineering

Abstract: Deep learning models are widely used in data-driven applications due to their high predictive performance, but their lack of interpretability limits their applicability in domains requiring ...
IEEE

FR-CBAMNet: A Face Recognition Algorithm by Fusion of Transformer and CNN

Abstract: With the development of deep learning, convolutional neural network is mainstream in face recognition but has two problems: poor recognition accuracy due to neglecting global semantic and ...