IEEE

A phenomenological theory of damping in ferromagnetic materials

In 1955, a phenomenological theory of ferromagnetism was well established and had been corroborated by a considerable amount of experimental data. However, there were problems in the phenomenological ...
IEEE

The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]

In this issue, “Best of the Web” presents the modified National Institute of Standards and Technology (MNIST) resources, consisting of a collection of handwritten digit images used extensively in ...
IEEE

Novel Wavelet Threshold Denoising Method to Highlight the First Break of Noisy Microseismic Recordings

Abstract: We proposed a novel wavelet threshold denoising method based on the discrete wavelet transform for noisy microseismic recordings. This algorithm can simultaneously suppress both the high- ...
IEEE

Adaptive High-Order Terminal Sliding Mode Control Based on Time Delay Estimation for the Robotic Manipulators With Backlash Hysteresis

Abstract: This paper presents the results for model-independent control of uncertain n -degree of freedom robotic manipulators in the presence of external disturbances and backlash hysteresis. In ...
IEEE

5G Wireless Network Slicing for eMBB, URLLC, and mMTC: A Communication-Theoretic View

Abstract: The grand objective of 5G wireless technology is to support three generic services with vastly heterogeneous requirements: enhanced mobile broadband (eMBB), massive machine-type ...
IEEE

Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article]

Abstract: Natural language processing (NLP) is a theory-motivated range of computational techniques for the automatic analysis and representation of human language. NLP research has evolved from the ...
IEEE

GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions

Abstract: The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the domain of natural language processing, which is propelling us toward the development of machines that ...
IEEE

Adversarial Examples Against the Deep Learning Based Network Intrusion Detection Systems

Abstract: Deep learning begins to be widely applied in security applications, but the vulnerability of deep learning in front of adversarial examples raises people's concern. In this paper, we study ...
IEEE

Artificial Intelligence through Simulated Evolution

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=5263042 ...
IEEE

A Neural-Network-Based Method for RUL Prediction and SOH Monitoring of Lithium-Ion Battery

Abstract: The prognostic and health management (PHM) of lithium-ion batteries has received increasing attention in recent years. The remaining useful life (RUL) prediction and state of health (SOH) ...
IEEE

Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts

Abstract: Emerging smart contract systems over decentralized cryptocurrencies allow mutually distrustful parties to transact safely without trusted third parties. In the event of contractual breaches ...
IEEE

A Deep Reinforcement Learning-Based Dynamic Traffic Offloading in Space-Air-Ground Integrated Networks (SAGIN)

Abstract: Space-Air-Ground Integrated Networks (SAGIN) is considered as the key structure of the next generation network. The space satellites and air nodes are the potential candidates to assist and ...