Krzysztof Ejsmont

About Krzysztof Ejsmont

Krzysztof Ejsmont, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Politechnika Warszawska, specializes in the field of Industry 4.0, ocena technologii, projektowanie i analiza systemów produkcyjnych.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Coronavirus Optimization (CVO) algorithm to harvest maximum power from PV systems under partial and complex partial shading conditions

Recurrent neural network for pitch control of variable-speed wind turbine

Multisided Business Model for Platform Offering AI Services

Self-Reconfiguration for Smart Manufacturing Based on Artificial Intelligence: A Review and Case Study

Industry 4.0, Artificial Intelligence, and Mechanical Engineering towards Industry 5.0

Platform-based support for AI uptake by SMEs: guidelines to design service bundles

Comparative Performance Analysis of Machine Learning Algorithms for Arm and Shoulder Exercises using Wrist-worn Band

Towards a smart lean green production paradigm to improve operational performance

Krzysztof Ejsmont Information

University

Position

Adiunkt badawczo-dydaktyczny Wydział Inżynierii Produkcji

Citations(all)

519

Citations(since 2020)

498

Cited By

53

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Krzysztof Ejsmont Skills & Research Interests

Industry 4.0

ocena technologii

projektowanie i analiza systemów produkcyjnych

Top articles of Krzysztof Ejsmont

A Coronavirus Optimization (CVO) algorithm to harvest maximum power from PV systems under partial and complex partial shading conditions

Energy Reports

2024/6/1

Waseem Iqbal
Waseem Iqbal

H-Index: 1

Krzysztof Ejsmont
Krzysztof Ejsmont

H-Index: 4

Recurrent neural network for pitch control of variable-speed wind turbine

Science Progress

2024/4/29

Krzysztof Ejsmont
Krzysztof Ejsmont

H-Index: 4

Mirosław Nejman
Mirosław Nejman

H-Index: 5

Multisided Business Model for Platform Offering AI Services

2024/2/9

Krzysztof Ejsmont
Krzysztof Ejsmont

H-Index: 4

Bartlomiej Gladysz
Bartlomiej Gladysz

H-Index: 7

Self-Reconfiguration for Smart Manufacturing Based on Artificial Intelligence: A Review and Case Study

2024/2/9

Industry 4.0, Artificial Intelligence, and Mechanical Engineering towards Industry 5.0

Journal of Engineering, Project, and Production Management

2024/1/1

Krzysztof Ejsmont
Krzysztof Ejsmont

H-Index: 4

Platform-based support for AI uptake by SMEs: guidelines to design service bundles

Central European Management Journal

2023/11/29

Comparative Performance Analysis of Machine Learning Algorithms for Arm and Shoulder Exercises using Wrist-worn Band

2013/7/23

Towards a smart lean green production paradigm to improve operational performance

Journal of Cleaner Production

2023/8/10

Bi-LSTM-Based Deep Stacked Sequence-to-Sequence Autoencoder for Forecasting Solar Irradiation and Wind Speed.

Computers, Materials & Continua

2023/6/1

Abdullah Mughees
Abdullah Mughees

H-Index: 3

Krzysztof Ejsmont
Krzysztof Ejsmont

H-Index: 4

Aligning sustainable development goals with Industry 4.0 for the design of business model for printing and packaging companies

2023/4

Acceptance of IoT edge-computing-based sensors in smart cities for universal design purposes

Energies

2023/1/17

Industry 4.0 solutions impacts on critical infrastructure safety and protection–a systematic literature review

2022/8/1

An Efficient Estimation of Wind Turbine Output Power Using Neural Networks

Energies

2022/7/18

Krzysztof Ejsmont
Krzysztof Ejsmont

H-Index: 4

Economic integration of renewable and conventional power sources—a case study

Energies

2022/3/15

Krzysztof Ejsmont
Krzysztof Ejsmont

H-Index: 4

Performance optimization of a ten check MPPT algorithm for an off-grid solar photovoltaic system

Energies

2022/3/13

Krzysztof Ejsmont
Krzysztof Ejsmont

H-Index: 4

A horse herd optimization algorithm (HOA)-based MPPT technique under partial and complex partial shading conditions

Energies

2022/3/3

Krzysztof Ejsmont
Krzysztof Ejsmont

H-Index: 4

Estimation of the solid circulation rate in circulating fluidized bed system using adaptive neuro-fuzzy algorithm

Energies

2021/12/29

Krzysztof Ejsmont
Krzysztof Ejsmont

H-Index: 4

Analysis of the suitability of signal features for individual sensor types in the diagnosis of gradual tool wear in turning

Energies

2021/10/10

Sustainable printing 4.0—insights from a Polish survey

Sustainability

2021/9/30

Application of lifecycle measures for an integrated method of environmental sustainability assessment of radio frequency identification and wireless sensor networks

Energies

2021/5/13

See List of Professors in Krzysztof Ejsmont University(Politechnika Warszawska)

Co-Authors

academic-engine