Contribuyentes desde los últimos 7 días
Se han encontrado 3.938 contribuyentes
| Ranking | Información del autor | Estadística |
|---|---|---|
| 201 |
|
|
| 202 |
|
|
| 203 |
Professional Interests: EEG analysis, epilepsy, data science |
|
| 204 |
|
|
| 205 |
B.E. Electrical Engineering Student (TU) |
|
| 206 |
Professional Interests: Electrical and Electronics |
|
| 207 |
|
|
| 208 |
|
|
| 209 |
Image Analysis Specialist |
|
| 210 |
|
|
| 211 |
I am one the developers for the WFDB Toolbox for MATLAB and Octave. This toolbox gives users direct access to over 50 databases (over 3 TB of physiologic signals including ECG, EEG, EMG, fetal ECG, PLETH, ABP, and more). Most of these databases are also accompanied by meta-data such as expert annotations of physiologically relevant events. These can include, for example, cardiologist annotations on ECGs for classifying different arrythmias, or sleep expert annoations on EEG for segmenting different sleep stages. The project is open-source and web page is located at: http://physionet.org/physiotools/matlab/wfdb-app-matlab/
|
|
| 212 |
|
|
| 213 |
|
|
| 214 |
Research assistant in biomechanics in Kinesiology departement at Université de Montréal |
|
| 215 |
Expert in power electronics and electric drives and renewable energy. Worked with several projects in both educational and industrial domain. Some works are solar water pump, ev charger, PMSM sensorless control, BLDC drive, MPPT etc. |
|
| 216 |
My primary research interests are in the area of pattern recognition and machine learning. Within these areas, my work focuses on developing novel strategies to formalize, explain and visualize the pattern in data. My work encompasses different case studies. I worked on many aspects of feature selection in machine learning introducing the concept of graph-based feature selection. Such a framework is prone to parallelization making this family of algorithms highly scalable (i.e., suitable for Big Data analysis). Another important aspect I dealt with is the real-time factor of such techniques. This framework turns out to be also suitable for visual object tracking, demonstrating to improve tracking performance while maintaining high frame rates. Finally, I have also worked on soft-biometrics by taking into account user-centric aspects, such as personality. |
|
| 217 |
Associate Professor |
|
| 218 |
Researcher at Instituto de Investigación Tecnológica, and professor at Computer Science Department. ICAI Engineering School Universidad Pontificia Comillas http://www.iit.upcomillas.es/palacios |
|
| 219 |
|
|
| 220 |
|
|
| 221 |
|
|
| 222 |
|
|
| 223 |
|
|
| 224 |
B.E. (Electrical), M.E.(Instrumentation), M.E.(Electrical Power Systems) Ph. D.(Electrical Engineering), PG Cirtificate in Machine Learning and Application, Asso. Professor Department of Electrical Engineering, Govt. College of Engineering, Aurangabad-431001, M.S. India |
|
| 225 |
Biomedical optics, computational imaging methods, Monte Carlo simulations, parallel computing |
|
| 226 |
Machine Learning~Control Theory~Reinforcement Learning~Robotic~Optimization~SensorFusion |
|
| 227 |
|
|
| 228 |
|
|
| 229 |
|
|
| 230 |
|
|
| 231 |
|
|
| 232 |
|
|
| 233 |
Dr.R.Vijay is working as an Associate Professor in the Department of EEE, CVR College of Engineering, Hyderabad, India. He has worked as Assistant Professor EEE, Anna University Coimbatore, India. He had received his B.E. in Electrical & Electronics Engineering from Bannari Amman Institute of Technology, India and M.E. in Power Systems Engg. from the Anna University of Technology, Coimbatore, India. He had completed his PhD in the Faculty of Electrical Engineering from Anna Univ, Chennai, India. |
|
| 234 |
http://www.glaciology.net |
|
| 235 |
Lecturer (Assistant Professor) in Electronic Engineering https://orcid.org/0000-0001-9643-3019 |
|
| 236 |
|
|
| 237 |
|
|
| 238 |
|
|
| 239 |
Professional Interests: robotics, computer vision |
|
| 240 |
Professional Interests: image analysis, machine learning |
|
| 241 |
Aussie living in the US. Engineering with MATLAB. Some Interests: -3D Volume Processing (CT, mri) -Finite Element Analysis (human body simulation) -Geometry Analysis (human body morphomics) Professional Interests: Image processing, Finite Element Analysis, Human Body Biomechanics |
|
| 242 |
|
|
| 243 |
|
|
| 244 |
|
|
| 245 |
I Mika |
|
| 246 |
|
|
| 247 |
Professional Interests: sensors, MEMS, resonators, internet of things |
|
| 248 |
Professional Interests: signal processing |
|
| 249 |
Assistant Lecturer Professional Interests: Technical computation and programming, including graphics programming |
|
| 250 |
|
|
| 251 |
PhD, PE, PLS |
|
| 252 |
|
|
| 253 |
http://mouse.vision |
|
| 254 |
|
|
| 255 |
|
|
| 256 |
Ali Asghar Heidari has been an Exceptionally Talented Researcher with the School of Computing, National University of Singapore (NUS), and University of Tehran. He is also an Elite Researcher of Iran National Elites Foundation (INEF). He ranked among the worlds top 2% scientists list of Stanford University and top scientists for Computer science prepared by Guide2Research as an outstanding researcher. He has authored more than 200 research articles with over 20000 citations and H-index of 72 in prestigious international journals. |
|
| 257 |
|
|
| 258 |
Interest research : Multi-objective optimization, Swarm intelligence, machine learning |
|
| 259 |
I'm from a small town called Largs near Glasgow in Scotland. I studied for my undergraduate degree in Electronic and Microprocessor Engineering and PhD in Signal Processing at Strathclyde University. I live in Natick, MA. |
|
| 260 |
|
|
| 261 |
|
|
| 262 |
|
|
| 263 |
|
|
| 264 |
|
|
| 265 |
|
|
| 266 |
Professional Interests: control theory, mathematical modeling, chaos, fractional calculus, dynamical systems |
|
| 267 |
www.nassimkhaled.com Published Author and an innovator with more than 30 patents and patent applications. Dr. Khaled holds a Ph.D. in Mechanical Engineering with focus on IoT, guidance and controls. |
|
| 268 |
Professional Interests: Signal Processing, Digital Communications, Pattern Recognition, AVIONICS Systems, Radar Signal Processing, Space-Time Adaptive Processing (STAP), Synthetic Aperture Radar (SAR), Neuro-Fuzzy Networks, Machine Learning. |
|
| 269 |
|
|
| 270 |
Ben Barrowes received the Ph.D. degree in 2004 from the Massachusetts Institute of Technology, Cambridge, MA. He was named top high school math student in the state of Utah (1991), was awarded an NSF graduate fellowship (1999), was a Director's funded Postdoc at Los Alamos National Laboratory (2004), and was named Innovator of the Year for the Army Corps of Engineers (2019). Currently, he is a physicist with the US Army ERDC Cold Regions Research and Engineering Laboratory and is the author or coauthor of over 150 scientific publications. His research interests center on electromagnetic wave theory and modeling with applications including electromagnetic induction methods for detecting and classifying subsurface UneXploded Ordnance (UXO), Improvised Explosive Devices (IEDs), novel fusion energy generation, and the intersection between modern technology and political science. |
|
| 271 |
Professional Interests: Numerical Computing and Computer Modeling |
|
| 272 |
|
|
| 273 |
Professional Interests: automatic control in power electronics and drive systems, electric vehicles, hybrid energy storage systems |
|
| 274 |
|
|
| 275 |
CNRS, CEREMADE, Universite Paris-Dauphine.
|
|
| 276 |
Professional Interests: Image Processing
|
|
| 277 |
Ph. D. in EE at USC, 1986 CAU Professor at the dept. of EE since 1986 Professional Interests: Digital Signal Processing, Digital Communication, Electric/Electronic Circuits, |
|
| 278 |
Senior Scientist (male/man) and Inventor in the Procter and Gamble Company, one of the world's 10 largest industrial corporations. I did image analysis full time until my retirement in 2023 and currently have only part time jobs with P&G. I have Ph.D. in Optical Sciences specializing in imaging, image processing, and image analysis. 45+ years of military, academic, and (mostly) industrial experience with image analysis programming and algorithm development. Experience designing custom light booths and other imaging systems. Experience with color and monochrome imaging, video analysis, thermal, ultraviolet, hyperspectral, CT, MRI, radiography, profilometry, microscopy, NIR and Raman spectroscopy, etc. on a huge variety of subjects. Member of the Mathworks Community Advisory Board. Be sure to click "View All" in my File Exchange to see ALL of my demos and tutorials. |
|
| 279 |
Professional Interests: GIS, Physical Geography, Hydrology, Geomorphology |
|
| 280 |
Civil & Infrastructure Engineer, M.Sc., Ph.D. |
|
| 281 |
|
|
| 282 |
|
|
| 283 |
|
|
| 284 |
|
|
| 285 |
Co-Founder and CTO at Voxel51
|
|
| 286 |
Daniel Auger is Professor of Electrification, Modelling and Control at Cranfield University. He is an expert in control systems, vehicle electrification and modelling. He has pioneered advanced battery management algorithms for lightweight lithium-sulfur batteries. He has also introduced new state-of-the-art MSc teaching in applied control engineering and launched a new course in connected and autonomous vehicle engineering. Before joining Cranfield, Daniel worked in senior control engineering roles in BAE Systems and MathWorks Consulting Services. He has MA, MEng and PhD degrees from Cambridge and is a chartered engineer, an IET Fellow and an IEEE Senior Member. |
|
| 287 |
|
|
| 288 |
Professor of Scientific Computing. Research interests: inverse problems, matrix computations, signal processing. |
|
| 289 |
|
|
| 290 |
|
|
| 291 |
Ph.D. Candidate |
|
| 292 |
|
|
| 293 |
|
|
| 294 |
|
|
| 295 |
matlab simulink designer |
|
| 296 |
|
|
| 297 |
|
|
| 298 |
https://www.researchgate.net/profile/Lazaros-Moysis ; https://www.youtube.com/@lazaros_moysis |
|
| 299 |
|
|
| 300 |
Audio, Digital Signal Processing, Analog Electronics, ADCs, Sigma Delta |
|
