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Dr.-Ing. Sorin Liviu Jurj
Doktortitel in Computer und Informationstechnologie
Top Beiträge
- Powering and Evaluating Deep Learning-based Systems using Green Energy
- Sorin Liviu Jurj’s Ph.D. Defense – Stufe 2 (Doktortitel mit „Summa cum Laude“ erhalten)
- Sorin Liviu Jurj’s Ph.D. Defense – Stufe 1
- Increasing the Safety of Adaptive Cruise Control using Physics-guided Reinforcement Learning
- Configurable Built-In Self-Test Architecture for Automated Testing of a Dual-Axis Solar Tracker
- Hybrid Testing of a Solar Tracking Equipment using In-Circuit Testing and JTAG Debugging Strategies
- Verification of Sigmoidal Artificial Neural Networks using iSAT
- Global Energy Production Computation of a Solar-Powered Smart Home Automation System using Reliability-Oriented Metrics
- Improving the Solar Reliability Factor of a Dual-Axis Solar Tracking System using Energy-Efficient Testing Solutions
- Fault Coverage-Aware Metrics for Evaluating the Reliability Factor of Solar Tracking Systems
- Environmentally-Friendly Metrics for Evaluating the Performance of Deep Learning Models and Systems
- Deep Learning-Based Computer Vision Application with Multiple Built-In Data Science-Oriented Capabilities
- Efficient Implementation of a Self-Sufficient Solar-Powered Real-Time Deep Learning-Based System
- Real-Time Identification of Animals found in Domestic Areas of Europe
- Mobile Application for Receipt Fraud Detection Based on Optical Character Recognition
- Identification of Traditional Motifs using Convolutional Neural Networks
- Affordable Flying Probe-Inspired In-Circuit-Tester for Printed Circuit Boards Evaluation with Application in Test Engineering Education
- Online Built-In Self-Test Architecture for Automated Testing of a Solar Tracking Equipment
- White-Box Testing Strategy for a Solar Tracking Device using NodeMcu Lua ESP8266 WiFi Network Development Board Module
- Position Optimization Method for a Solar Tracking Device using the Cast-Shadow Principle
- Technological solutions for throughput improvement of a Secure Hash Algorithm-256 engine
- Liste guter (und günstiger) internationaler Konferenzen für Doktoranden
- Wo kann ich Python lernen?
- Deep Learning Einführung
- Einführung in tiefes Lernen für Computer Vision
- Deep Learning Video-Lektionen
- Deep Learning in nur 6 Wochen lernen
- Maschinelles Lernen in nur 3 Monaten
- Lernen Sie Blockchain in nur 2 Monaten
- Informatik in nur 5 Monaten lernen?
- Literatur zur DNN-Verifizierung und -Tests
- Papers with Code – GitHub Version
- Deep Learning Nieselregen
- Interessante Forschungsarbeiten
Neueste Beiträge
Explainpaper.com – Eine wissenschaftliche Arbeit schneller verstehen als je zuvor20. November 2022
Die Zeit für den Umzug aus Oldenburg tickt31. Oktober 2022
Intel oder AMD Desktop-PC Build in 2022?25. Oktober 2022
Reinforcement Learning Agenten im CARLA-Simulator mit DreamerV2 Trainieren8. August 2022- ResearchGate wird den RG Score nach Juli 2022 entfernen12. Juli 2022
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Schlagwörter
ACSA Artificial Intelligence Berlin Computer Vision Deep Learning Dual-axis solar tracker Fahrschule Butterfly Fahrschule Frankfurt Flavius Opritoiu Forschung Forschungsartikel FPGA Frankfurt Goa Indien Indisches Essen Internet Keras Künstliche Intelligenz LaTex Machine Learning Mircea Vladutiu Neu-Delhi neural network Neuronalen Netzwerken Nvidia Oldenburg PhD Report PhD Thesis Pizza Promotionsstudent Promotionsstudium Python Raul Rotar Reinforcement Learning Reise Rumänien SIITME Solar energy Solar Tracker Tensorflow UPT Urlaub Vegetarisches Essen Vodafone
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