Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Towards long lifetime battery: AI-based manufacturing and management
Technologies that accelerate the delivery of reliable battery-based energy storage will not
only contribute to decarbonization such as transportation electrification, smart grid, but also …
only contribute to decarbonization such as transportation electrification, smart grid, but also …
Dexterous manipulation for multi-fingered robotic hands with reinforcement learning: A review
C Yu, P Wang - Frontiers in Neurorobotics, 2022 - frontiersin.org
With the increasing demand for the dexterity of robotic operation, dexterous manipulation of
multi-fingered robotic hands with reinforcement learning is an interesting subject in the field …
multi-fingered robotic hands with reinforcement learning is an interesting subject in the field …
A prediction-sampling-based multilayer-structured latent factor model for accurate representation to high-dimensional and sparse data
Performing highly accurate representation learning on a high-dimensional and sparse
(HiDS) matrix is of great significance in a big data-related application such as a …
(HiDS) matrix is of great significance in a big data-related application such as a …
Deconv-transformer (DecT): A histopathological image classification model for breast cancer based on color deconvolution and transformer architecture
Histopathological image recognition of breast cancer is an onerous task. Although many
deep learning models have achieved good classification results on histopathological image …
deep learning models have achieved good classification results on histopathological image …
Fast and accurate non-negative latent factor analysis of high-dimensional and sparse matrices in recommender systems
A fast non-negative latent factor (FNLF) model for a high-dimensional and sparse (HiDS)
matrix adopts a Single Latent Factor-dependent, Non-negative, Multiplicative and …
matrix adopts a Single Latent Factor-dependent, Non-negative, Multiplicative and …
A latent factor analysis-based approach to online sparse streaming feature selection
Online streaming feature selection (OSFS) has attracted extensive attention during the past
decades. Current approaches commonly assume that the feature space of fixed data …
decades. Current approaches commonly assume that the feature space of fixed data …
A double-space and double-norm ensembled latent factor model for highly accurate web service QoS prediction
Quality-of-Service (QoS), which describes the non-functional characteristics of Web service,
is of great significance in service selection. Since users cannot invoke all services to obtain …
is of great significance in service selection. Since users cannot invoke all services to obtain …
An L1-and-L2-Norm-Oriented Latent Factor Model for Recommender Systems
A recommender system (RS) is highly efficient in filtering people's desired information from
high-dimensional and sparse (HiDS) data. To date, a latent factor (LF)-based approach …
high-dimensional and sparse (HiDS) data. To date, a latent factor (LF)-based approach …
Two-stream graph convolutional network-incorporated latent feature analysis
Historical Quality-of-Service (QoS) data describing existing user-service invocations are vital
to understanding user behaviors and cloud service conditions. Collaborative Filtering (CF) …
to understanding user behaviors and cloud service conditions. Collaborative Filtering (CF) …
A fuzzy PID-incorporated stochastic gradient descent algorithm for fast and accurate latent factor analysis
A stochastic gradient descent (SGD) based latent factor analysis (LFA) model can obtain
superior performance when performing representation to a high-dimensional and …
superior performance when performing representation to a high-dimensional and …