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Dr.-Ing. Sorin Liviu Jurj
Erich-Mühsam-Straße 27
09112 Chemnitz
Kontakt
E-Mail: jurjsorinliviu@yahoo.de
Dr.-Ing. Sorin Liviu Jurj
Künstliche Intelligenz · Neuromorphe Systeme · Nachhaltigkeit
Top Beiträge
- Designing Neuromorphic 3D-Circuits using Memristors
- Ausgewählte Liste von Büchern aus meiner Bibliothek
- Spontane Ideen, die ich zwischen 2021 und 2023 hatte
- Spontane Ideen, die ich zwischen 2013 und 2020 hatte
- 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
- Ψ-xLSTM: Automated Behavioral Verilog-A Generation from Distilled Physics-Informed xLSTM Networks for High-Frequency Device Modeling
- Ψ-HDL: Physics Structure-Informed Neural Networks for Hardware Description Language Generation
- A Physics-Regularized Neural Surrogate Framework for Printed Memristors
- PySpice-Simulated In Situ Learning with Memristor Emulation for Single-Layer Spiking Neural Networks
- Evaluating the Knowledge in Test Engineering Education using a Solar-powered Remote-controlled Flying Probe-Inspired In-Circuit Tester
- Efficient Implementation of Spiking Neural Networks for Inference using Ex-Situ Training
- SNNtrainer3D: Training Spiking Neural Networks using a User-friendly Application with 3D Architecture Visualization Capabilities
- Increasing the Solar Reliability Factor of a Dual-Axis Solar Tracker using an Improved Online Built-In Self-Test Architecture
- Improved Flying Probe-Inspired In-Circuit Tester for Practical Laboratory Activities
- Towards Safe and Sustainable Autonomous Vehicles Using Environmentally-Friendly Criticality Metrics
- Increasing the Safety of Adaptive Cruise Control using Physics-guided Reinforcement Learning
- Verification of Sigmoidal Artificial Neural Networks using iSAT
- 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
- 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
- Interessante Youtube-Kanäle zum Thema Geopolitik
Neueste Beiträge
Sovereign AI Isn’t Enough7. April 2026
Ψ-xLSTM: Automated Behavioral Verilog-A Generation from Distilled Physics-Informed xLSTM Networks for High-Frequency Device Modeling30. März 2026
AsPINN and AtPINN: Symmetry and Transfer Learning for Physics-Informed Neural Networks11. Februar 2026
Czech Technical University in Prague Introduces a New Starting Grant 20269. Februar 2026- Ψ-HDL: Physics Structure-Informed Neural Networks for Hardware Description Language Generation6. Februar 2026
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Schlagwörter
Artificial Intelligence Berlin Computer Vision Deep Learning Deutschland Dual-axis solar tracker Fahrschule Butterfly Fahrschule Frankfurt Flavius Opritoiu Forschung Forschungsartikel FPGA Frankfurt Indien Indisches Essen Internet Keras Künstliche Intelligenz LaTex Machine Learning Mircea Vladutiu Neu-Delhi neural network Neuromorphic Circuits Neuromorphic Computing Neuromorphic Engineering Neuronalen Netzwerken Nvidia Oldenburg PhD Report Pizza PostDoc Promotionsstudent Promotionsstudium Python Raul Rotar Reinforcement Learning Reise Rumänien SIITME Solar energy Solar Tracker UPT Urlaub Vegetarisches Essen
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