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 ...
News-Medical.Net

AI uncovers hidden mechanisms of covert attention and emergent neuron types

Shifting focus on a visual scene without moving our eyes - think driving, or reading a room for the reaction to your joke - ...
IEEE

Biorthogonal Lattice Tunable Wavelet Units and Their Implementation in Convolutional Neural Networks for Computer Vision Problems

Abstract: This work introduces a universal wavelet unit constructed with a biorthogonal lattice structure which is a novel tunable wavelet unit to enhance image classification and anomaly detection in ...
wwmt

Kalamazoo expands downtown recycling network, doubling recycling units

KALAMAZOO, Mich. — The city of Kalamazoo is expanding its downtown recycling network. Funded by the Downtown Economic Growth Authority (DEGA), the expansion will be through the Bigbelly Waste and ...
Frontiers

The diagnostic value of convolutional neural networks in thyroid cancer detection using ultrasound images

Objective: To extract and analyze the image features of two-dimensional ultrasound images and elastic images of four thyroid nodules by radiomics, and then further convolution processing to construct ...
Frontiers

Predictive modelling employing machine learning, convolutional neural networks (CNNs), and smartphone RGB images for non-destructive biomass estimation of pearl millet ...

Digital tools and non-destructive monitoring techniques are crucial for real-time evaluations of crop output and health in sustainable agriculture, particularly for precise above-ground biomass (AGB) ...
Scientific Research Publishing

Dachapally, P.R. (2017) Facial Emotion Detection Using Convolutional Neural Networks and Representational Autoencoder Units. arXiv: 1706.01509.

ABSTRACT: In this paper, we propose an additional layer of security to the authentication system of a VoIP network through the integration of facial emotion detection technology. The proposed system ...