Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Interpretable neural networks help reveal the nature of dark matter

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
IEEE

Noise Equalization Scheme Based on Probabilistic Shaping and 1D Convolutional Bidirectional Long Short-Term Memory Neural Network for Dual-Polarization NFDM System with Hermite ...

Abstract: In order to effectively reduce the impact of the amplified spontaneous emission (ASE) noise and processing noise for the dual-polarization nonlinear frequency division multiplexing system ...
Scientific Research Publishing

Salau, A.O., Olowoyo, T.D. and Akinola, S.O. (2020) Accent Classification of the Three Major Nigerian Indigenous Languages Using 1D CNN LSTM Network Model. In: Jain, S., et al ...

ABSTRACT: The aim of this research is to develop a speech synthesis model tailored towards Nigerian languages by leveraging natural language processing tool such as FastSpeech 2 and meta-tts for ...
IEEE

Recognition of Knee Osteoarthritis by 1D and 2D Convolutional Neural Networks Using Vibroarthrographic Signals

Abstract: Osteoarthritis (OA) of the knee is a leading cause of joint pain and mobility loss. Early diagnosis is crucial for effective management yet remains challenging with traditional imaging ...