Bayesian Deep Learning (1) CVAE (1) Compressive Sensing (1) Crack Detection (1) Deep Convolutional Neural Networks (1) Deep Learning (3) DenseNet (1) ESP32 (1) Fatigue (1) Graph Neural Networks (2) IR protocols (1) Incoherent Measurements (1) LED matrix (1) Local reparametrization (1) Localization (1) NLP (1) PhD (4) VAEs (1) Wind Turbine Blade (1) arduino (1) ascii art (1) d3.js (1) deep learning (2) eufy (1) literature navigation (1) neopixel (1) personal (3) python (1) remote control (1) reverse engineering (1) scraping (1) signal analysis (1) transformers (1) visualization (1) wake effects (2) wifi (1) wind farms (2)

 Bayesian Deep Learning (1)

Bayesian Graph Networks and Crack Localization

 CVAE (1)

Conditional Variational Autoencoder for Wind Turbine Blade Fatigue Damage Estimation

 Compressive Sensing (1)

Single-channel localization with Deep CNNs

 Crack Detection (1)

Bayesian Graph Networks and Crack Localization

 Deep Convolutional Neural Networks (1)

Single-channel localization with Deep CNNs

 Deep Learning (3)

Single-channel localization with Deep CNNs
Conditional Variational Autoencoder for Wind Turbine Blade Fatigue Damage Estimation
Bayesian Deep learning for statistical modeling of Wind Farm Monitoring Data

 DenseNet (1)

Single-channel localization with Deep CNNs

 ESP32 (1)

Making and interfacing a Wifi RGB LED matrix (neo-pixel)

 Fatigue (1)

Conditional Variational Autoencoder for Wind Turbine Blade Fatigue Damage Estimation

 Graph Neural Networks (2)

Bayesian Graph Networks and Crack Localization
Graph Neural Networks and Wind Farms

 IR protocols (1)

Reverse engineering IR protocols without a logic analyzer

 Incoherent Measurements (1)

Single-channel localization with Deep CNNs

 LED matrix (1)

Making and interfacing a Wifi RGB LED matrix (neo-pixel)

 Local reparametrization (1)

Bayesian Graph Networks and Crack Localization

 Localization (1)

Single-channel localization with Deep CNNs

 NLP (1)

Literature Graph Navigation using Pre-trained Transformers

 PhD (4)

Bayesian Graph Networks and Crack Localization
Graph Neural Networks and Wind Farms
Conditional Variational Autoencoder for Wind Turbine Blade Fatigue Damage Estimation
Bayesian Deep learning for statistical modeling of Wind Farm Monitoring Data

 VAEs (1)

Bayesian Deep learning for statistical modeling of Wind Farm Monitoring Data

 Wind Turbine Blade (1)

Conditional Variational Autoencoder for Wind Turbine Blade Fatigue Damage Estimation

 arduino (1)

Reverse engineering IR protocols without a logic analyzer

 ascii art (1)

Making and interfacing a Wifi RGB LED matrix (neo-pixel)

 d3.js (1)

Literature Graph Navigation using Pre-trained Transformers

 deep learning (2)

Graph Neural Networks and Wind Farms
Bayesian Deep learning for statistical modeling of Wind Farm Monitoring Data

 eufy (1)

Reverse engineering IR protocols without a logic analyzer
Literature Graph Navigation using Pre-trained Transformers

 neopixel (1)

Making and interfacing a Wifi RGB LED matrix (neo-pixel)

 personal (3)

Literature Graph Navigation using Pre-trained Transformers
Single-channel localization with Deep CNNs
Making and interfacing a Wifi RGB LED matrix (neo-pixel)

 python (1)

Making and interfacing a Wifi RGB LED matrix (neo-pixel)

 remote control (1)

Reverse engineering IR protocols without a logic analyzer

 reverse engineering (1)

Reverse engineering IR protocols without a logic analyzer

 scraping (1)

Literature Graph Navigation using Pre-trained Transformers

 signal analysis (1)

Reverse engineering IR protocols without a logic analyzer

 transformers (1)

Literature Graph Navigation using Pre-trained Transformers

 visualization (1)

Literature Graph Navigation using Pre-trained Transformers

 wake effects (2)

Graph Neural Networks and Wind Farms
Bayesian Deep learning for statistical modeling of Wind Farm Monitoring Data

 wifi (1)

Making and interfacing a Wifi RGB LED matrix (neo-pixel)

 wind farms (2)

Graph Neural Networks and Wind Farms
Bayesian Deep learning for statistical modeling of Wind Farm Monitoring Data