Search Results - subject:"convolutional neural networks"

Convolutional neural networks: key components and architectures

Fischer, Manfred M. - 2025

Convolutional Neural Networks (CNNs) are a specialized class of deep neural networks tailored for processing high …

Persistent link: https://www.econbiz.de/10015193130

Digital identification and pattern recognition capabilities using machine learning methods, navigation systems, and video surveillance

Marchenko, Olena; Viunenko, Oleksandr; Nechai, Ihor - In: Technology audit and production reserves 1 (2024) 2/75, pp. 6-13

Persistent link: https://www.econbiz.de/10014497309

A Temporal Convolutional Network for modeling raw 3D sequences and air-writing recognition

Singh, Aradhana Kumari; Koundal, Deepika - In: Decision analytics journal 10 (2024), pp. 1-7

There has been a steady increase in gesture-based applications interacting with various electronic devices. Characters and numerals are written in the air using air-writing applications. Due to the lack of stroke information and a reference point on the writing plane in the 3D space, the...

Persistent link: https://www.econbiz.de/10014533500

A real-time autonomous machine learning system for face recognition using pre-trained convolutional neural networks

Maj, Michał; Korzeniak, Jacek; Stokłosa, Józef; … - In: European research studies 27 (2024), pp. 3-13

Persistent link: https://www.econbiz.de/10014543361

Electrical load forecasting to plan the increase in renewable energy sources and electricity demand : a CNN-QR-RTCF and deep learning approach

Jiotsop-Foze, Wellcome Peujio; Hernández-del-Valle, Adrián - In: International Journal of Energy Economics and Policy : IJEEP 14 (2024) 4, pp. 186-194

Persistent link: https://www.econbiz.de/10014635888

A Deep Parallel Hybrid Fusion Model for disaster tweet classification on Twitter data

Krishna, Dasari Siva; Srinivas, Gorla; Reddy, P. V. G. … - In: Decision analytics journal 11 (2024), pp. 1-13

combines features from Convolutional Neural Networks (CNNs) and Bidirectional Long Short-Term Memory (Bi-LSTM) as base learners …

Persistent link: https://www.econbiz.de/10015101708

Learning-accelerated mixed-integer quadratic programming for unit commitment

Maisonneuve, Philippe; Lesage-Landry, Antoine - 2024

Persistent link: https://www.econbiz.de/10014483361

Using CNNs for photovoltaic panel defect detection via infrared thermography to support industry 4.0

Spajić, Mislav; Talajić, Mirko; Mršić, Leo - In: Business systems research : a system view accross … 15 (2024) 1, pp. 45-66

This study demonstrates how convolutional neural networks (CNNs), supported by open-source software and guided by …

Persistent link: https://www.econbiz.de/10015108206

Using CNNs for photovoltaic panel defect detection via infrared thermography to support industry 4.0

Spajić, Mislav; Talajić, Mirko; Mršić, Leo - In: Business Systems Research (BSR) 15 (2024) 1, pp. 45-66

This study demonstrates how convolutional neural networks (CNNs), supported by open-source software and guided by …

Persistent link: https://www.econbiz.de/10015408624

A deep learning framework for defect prediction based on thermographic in-situ monitoring in laser powder bed fusion

Oster, Simon; Breese, Philipp P.; Ulbricht, Alexander; … - In: Journal of Intelligent Manufacturing 35 (2023) 4, pp. 1687-1706

The prediction of porosity is a crucial task for metal based additive manufacturing techniques such as laser powder bed fusion. Short wave infrared thermography as an in-situ monitoring tool enables the measurement of the surface radiosity during the laser exposure. Based on the thermogram data,...

Persistent link: https://www.econbiz.de/10015179593