IEEE

A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges

Abstract: Large Language Models (LLMs) recently demonstrated extraordinary capability in various natural language processing (NLP) tasks including language translation, text generation, question ...
IEEE

Data-Driven Fault Diagnosis Method Based on Compressed Sensing and Improved Multiscale Network

Abstract: The diagnosis of the key components of rotating machinery systems is essential for the production efficiency and quality of manufacturing processes. The performance of the traditional ...
IEEE

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes

Abstract: Liver cancer is one of the leading causes of cancer death. To assist doctors in hepatocellular carcinoma diagnosis and treatment planning, an accurate and automatic liver and tumor ...
IEEE

Improved Sigma Filter for Speckle Filtering of SAR Imagery

Abstract: The Lee sigma filter was developed in 1983 based on the simple concept of two-sigma probability, and it was reasonably effective in speckle filtering. However, deficiencies were discovered ...
IEEE

A Survey on Network Slicing Security: Attacks, Challenges, Solutions and Research Directions

Abstract: The dawn of softwarized networks enables Network Slicing (NS) as an important technology towards allocating end-to-end logical networks to facilitate diverse requirements of emerging ...
IEEE

Convolutional Neural Network Based Metal Artifact Reduction in X-Ray Computed Tomography

Abstract: In the presence of metal implants, metal artifacts are introduced to x-ray computed tomography CT images. Although a large number of metal artifact reduction (MAR) methods have been proposed ...
IEEE

Spatial soliton all-optical logic gates

Abstract: We demonstrate some basic all-optical (electrically unbiased) logic gates in azobenzene liquid crystalline cells, exploiting their large nonlinearity for light localization and the trans-cis ...
IEEE

Prescribed Finite-Time Adaptive Neural Tracking Control for Nonlinear State-Constrained Systems: Barrier Function Approach

Abstract: The purpose of this article is to present a novel backstepping-based adaptive neural tracking control design procedure for nonlinear systems with time-varying state constraints. The designed ...
IEEE

Range-to-go weighted optimal guidance with impact angle constraint and seeker's look angle limits

Abstract: In this paper, an impact angle control guidance law, which considers simultaneously the impact angle and seeker's look angle constraints, is proposed for a constant speed missile against a ...
IEEE

Effect of Pulsed Current on Charging Performance of Lithium-Ion Batteries

Abstract: The pulsed current has been proposed as a promising battery charging technique to improve the charging performance and maximize the lifetime for lithium-ion (Li-ion) batteries. However, the ...
IEEE

Dynamic Graph Variational Sparse Coding for Power Distribution Network Fault Location and Classification

Abstract: Fault location and classification are crucial to the reliable and resilient operation of power distribution networks (PDNs). Current machine learning works cannot provide accurate and ...
IEEE

Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection

Abstract: This paper introduces WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for human and animal Voice Activity Detection (VAD). Contrary to ...