A literature survey of recent advances in chatbots

G Caldarini, S Jaf, K McGarry - Information, 2022 - mdpi.com
Chatbots are intelligent conversational computer systems designed to mimic human
conversation to enable automated online guidance and support. The increased benefits of …

Convolutional neural networks: an overview and application in radiology

R Yamashita, M Nishio, RKG Do, K Togashi - Insights into imaging, 2018 - Springer
Convolutional neural network (CNN), a class of artificial neural networks that has become
dominant in various computer vision tasks, is attracting interest across a variety of domains …

Iot-cloud-based smart healthcare monitoring system for heart disease prediction via deep learning

AA Nancy, D Ravindran, PMD Raj Vincent… - Electronics, 2022 - mdpi.com
The Internet of Things confers seamless connectivity between people and objects, and its
confluence with the Cloud improves our lives. Predictive analytics in the medical domain can …

Deepsocial: Social distancing monitoring and infection risk assessment in covid-19 pandemic

M Rezaei, M Azarmi - Applied Sciences, 2020 - mdpi.com
Social distancing is a recommended solution by the World Health Organisation (WHO) to
minimise the spread of COVID-19 in public places. The majority of governments and …

Boosting COVID-19 image classification using MobileNetV3 and aquila optimizer algorithm

M Abd Elaziz, A Dahou, NA Alsaleh, AH Elsheikh… - Entropy, 2021 - mdpi.com
Currently, the world is still facing a COVID-19 (coronavirus disease 2019) classified as a
highly infectious disease due to its rapid spreading. The shortage of X-ray machines may …

Simple biochemical features underlie transcriptional activation domain diversity and dynamic, fuzzy binding to Mediator

AL Sanborn, BT Yeh, JT Feigerle, CV Hao… - Elife, 2021 - elifesciences.org
Gene activator proteins comprise distinct DNA-binding and transcriptional activation
domains (ADs). Because few ADs have been described, we tested domains tiling all yeast …

Artificial intelligence-based drone system for multiclass plant disease detection using an improved efficient convolutional neural network

W Albattah, A Javed, M Nawaz, M Masood… - Frontiers in Plant …, 2022 - frontiersin.org
The role of agricultural development is very important in the economy of a country. However,
the occurrence of several plant diseases is a major hindrance to the growth rate and quality …

FusionNet: a convolution–transformer fusion network for hyperspectral image classification

L Yang, Y Yang, J Yang, N Zhao, L Wu, L Wang… - Remote Sensing, 2022 - mdpi.com
In recent years, deep-learning-based hyperspectral image (HSI) classification networks
have become one of the most dominant implementations in HSI classification tasks. Among …

A lightweight YOLOv4-Based forestry pest detection method using coordinate attention and feature fusion

M Zha, W Qian, W Yi, J Hua - Entropy, 2021 - mdpi.com
Traditional pest detection methods are challenging to use in complex forestry environments
due to their low accuracy and speed. To address this issue, this paper proposes the …

Lipschitz certificates for layered network structures driven by averaged activation operators

PL Combettes, JC Pesquet - SIAM Journal on Mathematics of Data Science, 2020 - SIAM
Obtaining sharp Lipschitz constants for feed-forward neural networks is essential to assess
their robustness in the face of perturbations of their inputs. We derive such constants in the …