Results 291 to 300 of about 571,134 (341)

Author Correction: Sentiment analysis of the Hamas-Israel war on YouTube comments using deep learning. [PDF]

Sci Rep
Liyih A, Anagaw S, Yibeyin M, Tehone Y.
europepmc   +1 more source

A Scalable, Lexicon Based Technique for Sentiment Analysis

, 2014
C. Kaushik, Atul Mishra
openalex   +2 more sources

A dataset of Roman Urdu text with spelling variations for sentence level sentiment analysis. [PDF]

Data Brief
Soomro MA, Memon RN, Chandio AA, Leghari M, Soomro MH.   +4 more
europepmc   +1 more source

A Multimodal Pain Sentiment Analysis System Using Ensembled Deep Learning Approaches for IoT-Enabled Healthcare Framework. [PDF]

Sensors (Basel)
Ghosh A, Umer S, Dhara BC, Ali GGMN.
europepmc   +1 more source

An argument for using anaerobes as microbial cell factories to advance synthetic biology and biomanufacturing

AIChE Journal, EarlyView.
Abstract Anaerobes thrive in the absence of oxygen and are an untapped reservoir of biotechnological potential. Therefore, bioprospecting efforts focused on anaerobic microbial diversity could rapidly uncover new enzymes, pathways, and chassis organisms to drive biotechnology innovation.
Thomas S. Lankiewicz, Nathalie H. Elisabeth, David L. Valentine, Michelle A. O'Malley   +3 more
wiley   +1 more source

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

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

Top-k sentiment analysis over spatio-temporal data. [PDF]

PeerJ Comput Sci
Almaslukh A, Almaalwy A, Allheeib N, Alajaji A, Almukaynizi M, Alabdulkarim Y.   +5 more
europepmc   +1 more source