Macas Martin

Macas Martin

Ceské vysoké ucení technické v Praze

H-index: 16

Europe-Czech Republic

About Macas Martin

Macas Martin, With an exceptional h-index of 16 and a recent h-index of 11 (since 2020), a distinguished researcher at Ceské vysoké ucení technické v Praze, specializes in the field of Artificial Intelligence, Biomedical Engineering, Energy, Smart Cities.

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

SkodaOnto-Ontology for representation of manufacturing and measuring process

Remote Physical Therapy: Requirements for a Single RGB Camera Motion Sensing

Support vector machines for control of multimodal processes

Ensemble methods in combination with compartment models for blood glucose level prediction in type 1 diabetes mellitus

Direct Versus Iterated Multi-Step Forecasting of Glycaemia in Type 1 Diabetics Using Autoregressive Models

Impact of forecasting errors on microgrid optimal power management

Macas Martin Information

University

Position

___

Citations(all)

929

Citations(since 2020)

381

Cited By

684

hIndex(all)

16

hIndex(since 2020)

11

i10Index(all)

24

i10Index(since 2020)

11

Email

University Profile Page

Ceské vysoké ucení technické v Praze

Google Scholar

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Macas Martin Skills & Research Interests

Artificial Intelligence

Biomedical Engineering

Energy

Smart Cities

Top articles of Macas Martin

Title

Journal

Author(s)

Publication Date

SkodaOnto-Ontology for representation of manufacturing and measuring process

Petr Juza

Martin Macaš

2023/1

Remote Physical Therapy: Requirements for a Single RGB Camera Motion Sensing

Jindrich Adolf

Jaromir Dolezal

Martin Macas

Lenka Lhotska

2021/9/7

Support vector machines for control of multimodal processes

Martin Macas

Diem H Nguyen

Charlotte Panuskova

2021/12/15

Ensemble methods in combination with compartment models for blood glucose level prediction in type 1 diabetes mellitus

Computer Methods and Programs in Biomedicine

Kyriaki Saiti

Martin Macaš

Lenka Lhotská

Kateřina Štechová

Pavlína Pithová

2020/11/1

Direct Versus Iterated Multi-Step Forecasting of Glycaemia in Type 1 Diabetics Using Autoregressive Models

pHealth 2020: Proceedings of the 17th International Conference on Wearable Micro and Nano Technologies for Personalized Health

Pavlína PIŤHOVÁ

2020/9/30

Impact of forecasting errors on microgrid optimal power management

Martin Macaš

Sergio Orlando

Stefan Costea

Petr Novák

Oleksiy Chumak

...

2020/6/9

See List of Professors in Macas Martin University(Ceské vysoké ucení technické v Praze)