Skip to content

PeerJ
Academic Journals
MDPI
Others
Go to Blog
Contact US

Author: Alena Fedorova

Monitoring changes at work: cross-cultural difference in employees’ evaluation

Dec 16, 2021 Alena Fedorova

SHS Web of Conferences 129, 08006 (2021) Monitoring changes at work: cross-cultural difference in employees’ evaluation Alena Fedorova1*, Zuzana Dvorakova2, Ilze Kacane3, Huseyin Atas4 and Valeriya Badambayeva5 1 Ural Federal…

February 2023
M	T	W	T	F	S	S
		1	2	3	4	5
6	7	8	9	10	11	12
13	14	15	16	17	18	19
20	21	22	23	24	25	26
27	28

« Sep

Recent Posts

Cloud based evaluation of databases for stock market data
MF-GCN-LSTM: a cloud-edge distributed framework for key positions prediction in grid projects
Research on unsupervised anomaly data detection method based on improved automatic encoder and Gaussian mixture model
Real-time trajectory privacy protection based on improved differential privacy method and deep learning model
RDPNet: a single-path lightweight CNN with re-parameterization for CPU-type edge devices

Archives

Archives

Categories

Academic Journals
APS Physics
BMJ Open
CIE
CPE
EDP Open
f1000 research
Hindawi
IJCBR
IJCRPP
IJOMDAS
JNS
MDPI
PeerJ
PLOS
SAGE Open
SEAJMS
Springer Open
Uncategorized
Wiley

Recent Posts

Cloud based evaluation of databases for stock market data
MF-GCN-LSTM: a cloud-edge distributed framework for key positions prediction in grid projects
Research on unsupervised anomaly data detection method based on improved automatic encoder and Gaussian mixture model
Real-time trajectory privacy protection based on improved differential privacy method and deep learning model
RDPNet: a single-path lightweight CNN with re-parameterization for CPU-type edge devices

You missed

Cloud based evaluation of databases for stock market data

MF-GCN-LSTM: a cloud-edge distributed framework for key positions prediction in grid projects

Research on unsupervised anomaly data detection method based on improved automatic encoder and Gaussian mixture model

Real-time trajectory privacy protection based on improved differential privacy method and deep learning model

Proudly powered by WordPress | Theme: Newsup by Themeansar.

Home
Contact US