Dr.-Ing. Sorin Liviu Jurj
Doktortitel (Summa cum Laude) 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
- 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
Configurable Built-In Self-Test Architecture for Automated Testing of a Dual-Axis Solar Tracker7. September 2021
Hybrid Testing of a Solar Tracking Equipment using In-Circuit Testing and JTAG Debugging Strategies7. September 2021
Ich habe die deutsche Staatsbürgerschaft in Oldenburg beantragt30. August 2021
Upgrade von iPhone 6 auf iPhone 13 oder Google Pixel 6?27. August 2021- High-End Use Case in CARLA27. August 2021
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Schlagwörter
ACSA Artificial Intelligence Computer Vision Convolutional Neural Networks Dataset Deep Learning Dual-axis solar tracker Fahrschule Butterfly Fahrschule Frankfurt Flavius Opritoiu Forschung Forschungsartikel FPGA Frankfurt Green energy In-Circuit-Tester Indisches Essen Internet JTAG Keras Künstliche Intelligenz LaTex Machine Learning Mircea Vladutiu neural network Neuronalen Netzwerken Nvidia NVIDIA Jetson TX2 Developer Kit PhD Report PhD Student PhD Thesis Pizza Promotionsstudent Promotionsstudium Python Raul Rotar Rumänien SIITME Solar energy Solar Tracker Tensorflow Testing UPT Vegetarisches Essen Windows 10
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