過去 365 日間のコントリビューター
19,430 人のコントリビューターが見つかりました
| ランク | 作成者情報 | 統計学 |
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Professional Interests: automatic control in power electronics and drive systems, electric vehicles, hybrid energy storage systems |
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I visualize data for fun. With the help of these functions I hope you will too! See my website to learn more about me
I love getting mail so feel free to send some or connect in other ways
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MSc. in Aerospace Engineering;
Professional Interests: Space mission design/Computational problems I try to make anything I develop compatible with all MATLAB versions from the past 5 years. Should you identify a compatibility bug, please don't hesitate to contact me! NOTE: I speak English, Dutch and Bad German. |
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My field of interest are mainly on electrical machines, power systems, power electronics, renewable energy, industrial automation and embedded systems. |
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Assistant professor,Former Teacher research Fellowship at CSIR-Govt of INDIA |
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Speech processing designates a team consisting of Prof. Lawrence Rabiner (Rutgers University and University of California, Santa Barbara), Prof. Ronald Schafer (Stanford University), Kirty Vedula and Siva Yedithi (Rutgers University). The set of speech processing exercises are intended to supplement the teaching material in the textbook “Theory and Applications of Digital Speech Processing” by L R Rabiner and R W Schafer.
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Home Page: http://www.jdivahar.com Some of my work: http://www.youtube.com/jdivahar Professional Interests: [Dynamics: Aerodynamics, Structural Dynamics, Flight Dynamics], [Computer Programming, Differential Geometry, CAD-Programming, Meshing, Scientific Visualization] |
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matlab simulink designer |
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I am a faculty member at the National Institute of Applied Sciences & Technology in Tunis (1999-2020). I have earned a Diplôme d'ingénieur in biotechnology from the Ecole des Mines de Paris and a Ph.D. in chemical engineering from the University of California at Davis. My research interests include the applications of computers in chemical engineering. URL: https://sites.google.com/site/housambinous/home Professional Interests: Numerical Simulations and Separation Science |
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Associate Professor in Numerical Analisys https://e.bertolazzi.dii.unitn.it Professional Interests: Numerical Analysis, Optimal Control |
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Pursuing B.Tech Aerospace Engineering at Indian Institute of Space Science and Technology. Loves to solve CFD and FEM problems using MATLAB. |
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| 328 |
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M.Tech in Power Electronics |
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| 331 |
Biomedical optics, computational imaging methods, Monte Carlo simulations, parallel computing |
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| 332 |
Solar PV System Engineer | M.Sc. in Electrical Engineering | Renewable Energy System Enthusiast | Power Electronics |
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| 333 |
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| 334 |
Professional Interests: MATLAB, MuPAD |
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| 335 |
Professional Interests: Power systems |
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| 336 |
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| 337 |
I'm managing Embedded Targets development at MathWorks, leading an organization responsible for all aspects of software development: product releasing, software development phases, partner management, strategic planning of innovative solutions providing Model-Based Design for Raspberry PI, Arduino, BeagleBone Black, ARM Cortex-M, TI MCUs and other embedded targets. I created the MathWorks embedded targets development team in Bangalore India in July 2011 after 3 years in France and 2 years in US where I joined MathWorks as an embedded targets developer in 2005. Prior to joining MathWorks I worked as an embedded software engineer developing motor control algorithm for UQM Technologies. I hold a B.S and an M.S. in Electrical Engineering from Paris-Sud University as well as an M.S. in Electrical Engineering from University of Colorado at Denver.
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Power Electronics & Drives Graduate |
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| 345 |
I am an electrical engineer by profession. I did my B.Sc in Electrical engineering from BZU, Multan, Pakistan and M.Sc in Electrical Engineering from UET, Lahore, Pakistan in the year 2006 and 2008 respectively. Currently working as a Researcher in the department of Electrical Engineering, King Saud University, Riyadh, Saudi Arabia Professional Interests: Power Electronics, Electrical Drives, DC DC Converters |
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| 346 |
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I'm a member of the Educator Content Development team. |
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Professor & Vice Dean, Viterbi School of Engineering, University of Southern California B.S. (1988), M.S. (1993), Ph.D. (1997), Aeronautical & Astronautical Engineering, University of Illinois at Urbana-Champaign https://cee.usc.edu/directory/faculty/profile/?lname=Johnson&fname=Erik |
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I am graduate from Georgia Institute of Technology specializing in control theory. Currently, I work at MathWorks. |
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| 351 |
PhD, PE, PLS |
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| 352 |
Passionate about advancing techniques in Image and Signal Processing with a focus on medical imaging (CT, MRI) and biomedical signals (ECG, EEG). Enthusiastic about developing robust algorithms and exploring transformations (DCT, DWT, DFT) for efficient data analysis and compression. With a strong interest in communication systems, I'm eager to integrate innovative processing techniques into real-world applications. Always open to collaboration and discussions on cutting-edge methods in computational analysis and engineering. |
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I Mika |
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Edgar Guevara is currently an assistant professor at UASLP. His research interests include non-invasive medical diagnosis using optical imaging (fNIRS), functional connectivity, spectroscopy, and biomedical signal processing. His past work includes research in Raman spectroscopy and infrared thermography. He is a member of the National System of Researchers (SNI) level 2 and has been awarded several competitive grants and scholarships from national and international funding bodies. He received his PhD in Biomedical Engineering at École Polytechnique de Montréal in 2014, with a special mention from the jury. https://sites.google.com/site/edgarguevara/ |
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https://siscontexto.blogspot.com/ https://pensandum.substack.com/ |
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INSERM researcher - CREATIS, Lyon http://www.biomecardio.com
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PhD Candidate - Fluid Mechanics |
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B.Sc in Electrical Engineering (signal processing, telecommunication and optics), M.Sc in Electrical Engineering - Thesis in Optical fiber telecommunication |
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| 365 |
Modeling and optimizing solar energy. |
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| 369 |
Graduated Old Dominion University in 1991. Currently working in OHV (Off-highway Vehicles) since January 2007 and with industrial control and embedded systems for process automation for the previous 15 years, hardware and software design. |
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I work on developing machine learning algorithms for CONDITION MONITORING of systems, PREDICTIVE MAINTENANCE, and CYBERSECURITY. |
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See https://apm.byu.edu/prism/index.php/Members/JohnHedengren Professional Interests: modeling, simulation, estimation, and control of nonlinear systems |
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| 379 |
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No one. |
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| 382 |
Work as a consultant at MathWorks: http://www.mathworks.com/services/consulting/meet-our-team/index.html#roger_aarenstrup |
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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 |
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| 384 |
I am an oceanographer working for the Department of Fisheries and Oceans Canada. I obtained my Ph. D. from Dalhousie University in 1990 and now work on ocean climate variability at the Maurice-Lamontagne Institute in Mont-Joli, Québec, Canada. More at http://www.meds-sdmm.dfo-mpo.gc.ca/sdb-bds/profile-profil.do?lang=eng&id=200 Professional Interests: oceanography, statistics, hypoxia, Argo profiling floats |
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| 386 |
Professional Interests: control design |
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| 389 |
Dr. Arunachalam Sundaram is a faculty member at the School of Science, Engineering, and Environment at the University of Salford. He earned his B.E. in Electrical and Electronics Engineering from Annamalai University, an M.E. in Power Systems Engineering (Gold Medalist), and a Ph.D. in Electrical Engineering from Anna University. He also completed a postgraduate artificial intelligence and machine learning program at the University of Texas at Austin. |
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Full Professor at the University of Nice (France) Professional Interests: Modeling, Mechatronics, Control Design, Computer Science |
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| 392 |
Dedicated and skilled Control Systems Engineer with a Master's degree in Power Systems from NIT Surat. Currently leading innovative projects at IIT Kanpur, including BLDC motor control for quadruped robots and autopilot systems for UAVs. Proficient in ROS, MATLAB, and embedded platforms, with a strong publication record in top-tier conferences. Awarded 2nd prize at the Poster Competition at NWHCR, IIT Jodhpur. Passionate about advancing robotics and automation. |
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| 394 |
I am a structural engineer and CEO of QUAKELOGIC. I earned my B.Sc. degree in Civil Engineering and M.Sc. degree in Engineering Seismology from the Middle East Technical University. My second M.Sc. degree in Structural Engineering is from the Bosporus (Bogazici) University in Turkey. My doctorate degree in Structural Engineering (major) and in Geotechnical Engineering (minor) is from the University of California, Davis. My postdoctoral studies were at the University of California, Berkeley. I authored and co-authored more than 120 peer-reviewed publications on various issues in structural engineering and engineering seismology. My research and publications are at www.quakelogic.net |
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| 396 |
Leo's Google Scholar Citations http://scholar.google.com/citations?hl=en&user=AxmpG84AAAAJ Professional Interests: Dynamics & Control, Computational Intelligence & Applications |
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https://in.linkedin.com/in/manu-bn-91977377 |
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| 398 |
Computational Flow Physics Group We develop advanced numerical simulation and data-driven analysis tools to understand, model, and predict turbulent and multiphysics flows in engineering and nature. Our work combines high-fidelity computation with modal decomposition and feature extraction to reveal coherent flow structures and translate them into predictive reduced-order models for forecasting and optimization. We focus on aerospace problems, including jet noise control, unsteady aerodynamics and aeroacoustics, transition, dynamic stall, aero-optics, and hypersonics. While our work is grounded in physics-based modeling, we also curiously explore where modern machine learning can complement first-principles simulation, statistical methods, and classical closure techniques. Beyond aerospace, our methods extend to complex geophysical flows, with applications in atmospheric science and physical oceanography. |
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