Results 1 to 10 of about 3,700 (260)

Learning neural implicit surfaces with local probability standard variance

IET Image Processing
Reconstructing geometric shapes from sparse multiview has always been a challenging task. With the development of neural implicit surfaces, geometry‐based volume rendering surface reconstruction methods have been proven to be able to reconstruct high ...
Hai Nan, Kai Zhao, Xuefei Han, Dongjie Zhao   +3 more
doaj   +1 more source

Multilayer perceptron

Brief description of multilayer perceptron and ...
openaire   +2 more sources

Teaching Machines on Snoring: A Benchmark on Computer Audition for Snore Sound Excitation Localisation

Archives of Acoustics, 2018
This paper proposes a comprehensive study on machine listening for localisation of snore sound excitation. Here we investigate the effects of varied frame sizes, and overlap of the analysed audio chunk for extracting low-level descriptors.
Kun QIAN, Christoph JANOTT, Zixing ZHANG, Jun DENG, Alice BAIRD, Clemens HEISER, Winfried HOHENHORST, Michael HERZOG, Werner HEMMERT, Björn SCHULLER   +9 more
doaj   +1 more source

Violent Video Recognition by Using Sequential Image Collage

Sensors
Identifying violent activities is important for ensuring the safety of society. Although the Transformer model contributes significantly to the field of behavior recognition, it often requires a substantial volume of data to perform well.
Yueh-Shen Tu, Yu-Shian Shen, Yuk Yii Chan, Lei Wang, Jenhui Chen   +4 more
doaj   +1 more source

A hybrid method for heartbeat classification via convolutional neural networks, multilayer perceptrons and focal loss. [PDF]

PeerJ Comput Sci, 2020
Wang T, Lu C, Yang M, Hong F, Liu C.
europepmc   +1 more source

Application of Natural Language Processing and Genetic Algorithm to Fine-Tune Hyperparameters of Classifiers for Economic Activities Analysis

Big Data and Cognitive Computing
This study proposes a method for classifying economic activity descriptors to match Nomenclature of Economic Activities (NACE) codes, employing a blend of machine learning techniques and expert evaluation.
Ivan Malashin, Igor Masich, Vadim Tynchenko, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov   +5 more
doaj   +1 more source

A novel model for efficient cluster head selection in mobile WSNs using residual energy and neural networks

Measurement: Sensors
Wireless Sensor Networks (WSNs) are essential for monitoring operational environments. Efficient selection of cluster heads is crucial in minimizing energy consumption.
Ahmad Jalili, Mehdi Gheisari, Jafar A. Alzubi, Christian Fernández-Campusano, Firuz Kamalov, Sherif Moussa   +5 more
doaj   +1 more source

Attention to the Electroretinogram: Gated Multilayer Perceptron for ASD Classification

IEEE Access
The electroretinogram (ERG) is a clinical test that records the retina’s electrical response to a brief flash of light as a waveform signal.
Mikhail Kulyabin, Paul A. Constable, Aleksei Zhdanov, Irene O. Lee, Dorothy A. Thompson, Andreas Maier   +5 more
doaj   +1 more source

Improving Machine Learning-Based Robot Self-Collision Checking with Input Positional Encoding

Foundations of Computing and Decision Sciences
This manuscript investigates the integration of positional encoding – a technique widely used in computer graphics – into the input vector of a binary classification model for self-collision detection.
Kulecki Bartłomiej, Belter Dominik
doaj   +1 more source