Results 81 to 90 of about 111,551 (360)
A Novel Combined DenseNet and Gated Recurrent Unit Approach to Detect Energy Thefts in Smart Grids
IEEE Access, 2023 Due to the illegal use of electricity, non-technical losses are exponentially increasing in electricity distribution systems day by day. With the debut of smart meters in the smart grid, new electricity theft attacks are welcomed.
Afrah Naeem +7 more
doaj +1 more source
Time-interleaved oversampling convertors
Electronics Letters, 1993 A new architecture is proposed which exploits the time-interleaving concept to increase the oversampling ratio in delta-sigma modulators. It is shown that the effective oversampling ratio is increased by a factor M through the use of M interconnected modulators.
R. Khoini-Poorfard, D.A. Johns
openaire +1 more source
Network intrusion detection using oversampling technique and machine learning algorithms
PeerJ Computer Science, 2022 The expeditious growth of the World Wide Web and the rampant flow of network traffic have resulted in a continuous increase of network security threats. Cyber attackers seek to exploit vulnerabilities in network architecture to steal valuable information
Hafiza Anisa Ahmed +2 more
semanticscholar +1 more source
An in-depth performance analysis of the oversampling techniques for high-class imbalanced dataset [PDF]
, 2021 Prasetyo Adi Wibowo, Chastine Fatichah
openalex +1 more source
Advanced Intelligent Systems, EarlyView.This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley +1 more source
Oversampling ADC: A Review of Recent Design Trends
IEEE AccessOversampling analog-to-digital converters (ADC) serve as the backbone of high-performance, high-precision data interfaces, owing to their remarkable ability to filter out quantization noise. This attribute makes them the preferred choice for applications
Antoine Verreault +2 more
doaj +1 more source
A Parameter-Free Cleaning Method for SMOTE in Imbalanced Classification
IEEE Access, 2019 Oversampling is an efficient technique in dealing with class-imbalance problem. It addresses the problem by reduplicating or generating the minority class samples to balance the distribution between the samples of the majority and the minority class ...
Yuanting Yan +5 more
doaj +1 more source
4K-DMDNet: diffraction model-driven network for 4K computer-generated holography
Opto-Electronic Advances, 2023 Deep learning offers a novel opportunity to achieve both high-quality and high-speed computer-generated holography (CGH). Current data-driven deep learning algorithms face the challenge that the labeled training datasets limit the training performance ...
Kexuan Liu +3 more
doaj +1 more source
Constraint Energy Minimizing Generalized Multiscale Finite Element Method
, 2017 The main goal of this paper is to design multiscale basis functions within GMsFEM framework such that the convergence of method is independent of the contrast and linearly decreases with respect to mesh size if oversampling size is appropriately chosen ...
Chung, Eric T. +2 more
core +1 more source
Advanced Intelligent Systems, EarlyView.Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova +3 more
wiley +1 more source