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A literature survey of recent advances in chatbots
Chatbots are intelligent conversational computer systems designed to mimic human
conversation to enable automated online guidance and support. The increased benefits of …
conversation to enable automated online guidance and support. The increased benefits of …
Convolutional neural networks: an overview and application in radiology
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 …
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
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 …
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
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 …
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
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 …
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
Gene activator proteins comprise distinct DNA-binding and transcriptional activation
domains (ADs). Because few ADs have been described, we tested domains tiling all yeast …
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
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 …
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 …
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 …
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
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 …
their robustness in the face of perturbations of their inputs. We derive such constants in the …