IEEE

Design of Approximate CNN based Convolutional Modules of Efficient Accelerators for Edge Devices

Abstract: Two-dimensional (2D) convolution is a fundamental operation widely employed in various fields such as image processing, computer vision, and medical imaging. Its capacity to extract ...
Scientific Research Publishing

Automatic Detection of Flavonoids from Spectroscopic Images by Fusion of Two-Dimensional Convolution Product with Multi-Scale Textural Descriptors ()

1 UFR Science and Technology, University of Man, Man, Côte d’Ivoire. 2 Laboratory of Communication and Information Science and Technology (LSTCI), National Polytechnic Institute Houphouët Boigny, ...
IEEE

Design and Synthesis of Row-Stationary Hardware Accelerators for 2D Convolution

Convolution operations are fundamental to Convolutional Neural Networks (CNNs), which are widely used in applications such as video compression and image recognition. However, these operations are ...
GitHub

jahossain/-2D-Convolution-FIR-Filters-Blur-Sharpen-Edges-

Q1. Why is Gaussian preferred over large box LP? Because Gaussian has smoother frequency response without sharp cutoffs or ringing artifacts. It preserves edges better and reduces aliasing compared to ...
Frontiers

DTCNet: finger flexion decoding with three-dimensional ECoG data

ECoG signals are widely used in Brain-Computer Interfaces (BCIs) due to their high spatial resolution and superior signal quality, particularly in the field of neural control. ECoG enables more ...
Game Rant

2D Games That Let You Shape The World With Creativity, Ranked

Mark has been thinking and writing about games since a Gameboy Pocket and a copy of Link's Awakening was first placed into his tender, seven-year-old hands. Since then, he snagged a creative writing ...
marktechpost

Meta AI Proposes Multi-Token Attention (MTA): A New Attention Method which Allows LLMs to Condition their Attention Weights on Multiple Query and Key Vectors

Large Language Models (LLMs) significantly benefit from attention mechanisms, enabling the effective retrieval of contextual information. Nevertheless, traditional attention methods primarily depend ...
Scientific Research Publishing

Alan Roden, J. and Gedney, S.D. (2000) Convolution PML (CPML): An Efficient FDTD Implementation of the CFS-PML for Arbitrary Media. Microwave and Optical Technology Letters, 27 ...

ABSTRACT: We implemented a two-step Asymmetric Perfectly Matched Layer (APML) model in High-Order Finite Difference Time Domain (FDTD) algorithm for solving two-dimensional Maxwell’s equations.
Frontiers

MSGU-Net: a lightweight multi-scale ghost U-Net for image segmentation

U-Net and its variants have been widely used in the field of image segmentation. In this paper, a lightweight multi-scale Ghost U-Net (MSGU-Net) network architecture is proposed. This can efficiently ...