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
Interessante Youtube-Kanäle zum Thema Geopolitik28. Juni 2022
Ratschläge für Doktoranden16. Mai 2022
PyScript – Führen Sie Python-Code in Ihrem HTML-Code aus8. Mai 2022
Wenn der DHL-Mitarbeiter vergisst, eine Benachrichtigung in den Briefkasten zu stecken3. Mai 2022- Internetgeschwindigkeit und Preise im Jahr 2022: Deutschland vs. Rumänien10. April 2022
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Schlagwörter
ACSA Artificial Intelligence Computer Vision Dataset 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 PhD Report PhD Thesis Pizza Promotionsstudent Promotionsstudium Python Raul Rotar Reise Rumänien SIITME Solar energy Solar Tracker Tensorflow Testing UPT Urlaub Vegetarisches Essen Vodafone Windows 10
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