Results 141 to 150 of about 217,546 (313)

AInsectID Version 1.1: An Insect Species Identification Software Based on the Transfer Learning of Deep Convolutional Neural Networks

Advanced Intelligent Discovery, EarlyView.
This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
wiley   +1 more source

The diagnosis, classification, and treatment of sarcoma in this era of artificial intelligence and immunotherapy

Cancer Communications, Volume 42, Issue 12, Page 1288-1313, December 2022., 2022
Abstract Soft‐tissue sarcomas (STS) represent a group of rare and heterogeneous tumors associated with several challenges, including incorrect or late diagnosis, the lack of clinical expertise, and limited therapeutic options. Digital pathology and radiomics represent transformative technologies that appear promising for improving the accuracy of ...
Amandine Crombé, Mathtieu Roulleau‐Dugage, Antoine Italiano   +2 more
wiley   +1 more source

RBF-based decision feedback aided turbo equalisation of convolutional and space-time trellis-coded systems [PDF]

, 2001
M. S. Yee, B.L. Yeap, Lajos Hanzo
openalex   +1 more source

On the Error Performance of Coding and Equalization in Low-Complexity Ultra-Wideband Communication Systems

Journal of Communications Software and Systems, 2006
In this paper, the performance of various channel coding schemes is investigated in pulse-based ultra-wideband(UWB) communication systems for applications in short-range indoor environments.
Robert H. Morelos-Zaragoza
doaj  

Widened Attention‐Enhanced Atrous Convolutional Network for Efficient Embedded Vision Applications under Resource Constraints

Advanced Intelligent Systems, EarlyView.
The article introduces WACEfNet, a new convolutional neural network architecture optimized for efficient aerial image analysis under resource constraints. It creatively integrates attention mechanisms and atrous convolutions into a compact widened residual network framework.
Md Meftahul Ferdaus, Mahdi Abdelguerfi, Kendall N. Niles, Ken Pathak, Joe Tom   +4 more
wiley   +1 more source

Generating Series and Performance Bounds for Convolutional Codes - Part 1: Transmission on Memoryless Channels [PDF]

, 2001
Cecílio Pimentel
openalex   +1 more source

Minimum-hamming-distance decoding of single-generator binary convolutional codes

, 1968
Wai-Hung Ng, Paul E. Pfeiffer
openalex   +1 more source

Generating Series and Performance Bounds for Convolutional Codes - Part 2: Transmission on Burst-Error Channels [PDF]

, 2001
Cecílio Pimentel
openalex   +1 more source

Harnessing Deep Learning of Point Clouds for Morphology Mimicking of Universal 3D Shape‐Morphing Devices

Advanced Intelligent Systems, EarlyView.
Soft robots capable of morphing into various 3D shapes are crucial for applications like human‐machine interfaces and biological manipulation. However, controlling 3D shape‐morphing robots with soft actuators remains a challenge. This work introduces a machine learning model that maps complex 3D deformations to control inputs, enabling robots to mimic ...
Jue Wang, Dhirodaatto Sarkar, Jiaqi Suo, Alex Chortos   +3 more
wiley   +1 more source

Concatenated space-time block codes and TCM, turbo TCM, convolutional as well as turbo codes [PDF]

, 2002
T.H. Liew, J. Pliquett, B.L. Yeap, Lie‐Liang Yang, Lajos Hanzo   +4 more
openalex   +1 more source