Georgios Tsaramirsis
Biographic Data
| ID | 7895683 |
|---|---|
| NAME | Georgios Tsaramirsis |
| GIVEN NAMES | Georgios |
| FAMILY NAME | Tsaramirsis |
| SIGNATURE | TSARAMIRSIS G |
| AFFILIATIONS | Higher Colleges of Technology |
| ORCID | 0000-0001-9967-0829 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
A Study of Faculty Retention Factors in Educational Institutes in Context With Abet
A typical higher education institute classically has all the five major constituents, i.e. current students, alumni, faculty members, employers and industrial advisory board. Expectations of the rest of the constituents are fully dependent on the faculty members, as they play a pivotal and backbone role in building up an educational institute, to a high repute. Faculty members provide the knowledge and skills necessary to students, to address mar…
Analysis of Covid-19 Infections on a CT Image Using DeepSense Model
In this paper, a data mining model on a hybrid deep learning framework is designed to diagnose the medical conditions of patients infected with the coronavirus disease 2019 (COVID-19) virus. The hybrid deep learning model is designed as a combination of convolutional neural network (CNN) and recurrent neural network (RNN) and named as DeepSense method. It is designed as a series of layers to extract and classify the related features of COVID-19 i…
Real-time adaptive stochastic control of smart grid data traffic for security purposes
No prominent works on this page.
Analysis of Covid-19 Infections on a CT Image Using DeepSense Model
In this paper, a data mining model on a hybrid deep learning framework is designed to diagnose the medical conditions of patients infected with the coronavirus disease 2019 (COVID-19) virus. The hybrid deep learning model is designed as a combination of convolutional neural network (CNN) and recurrent neural network (RNN) and named as DeepSense method. It is designed as a series of layers to extract and classify the related features of COVID-19 i…
Real-time adaptive stochastic control of smart grid data traffic for security purposes
A Study of Faculty Retention Factors in Educational Institutes in Context With Abet
A typical higher education institute classically has all the five major constituents, i.e. current students, alumni, faculty members, employers and industrial advisory board. Expectations of the rest of the constituents are fully dependent on the faculty members, as they play a pivotal and backbone role in building up an educational institute, to a high repute. Faculty members provide the knowledge and skills necessary to students, to address mar…
Artificial Intelligence (2 works) · Computer Science (2 works) · Data mining (2 works) · Machine learning (2 works) · Medicine (2 works) · Accreditation (1 works) · AI in cancer detection (1 works) · Artificial neural network (1 works) · Autoregressive integrated moving average (1 works) · Autoregressive model (1 works)