A survey of explainable artificial intelligence for smart cities
The emergence of Explainable Artificial Intelligence (XAI) has enhanced the lives of humans
and envisioned the concept of smart cities using informed actions, enhanced user …
and envisioned the concept of smart cities using informed actions, enhanced user …
Application of artificial intelligence for resilient and sustainable healthcare system: Systematic literature review and future research directions
Recent years have witnessed increased pressure across the global healthcare system
during the COVID-19 pandemic. The COVID-19 pandemic shattered existing healthcare …
during the COVID-19 pandemic. The COVID-19 pandemic shattered existing healthcare …
Harvesting social media sentiment analysis to enhance stock market prediction using deep learning
Abstract Information gathering has become an integral part of assessing people's behaviors
and actions. The Internet is used as an online learning site for sharing and exchanging …
and actions. The Internet is used as an online learning site for sharing and exchanging …
Deep learning-based transfer learning for classification of skin cancer
One of the major health concerns for human society is skin cancer. When the pigments
producing skin color turn carcinogenic, this disease gets contracted. A skin cancer diagnosis …
producing skin color turn carcinogenic, this disease gets contracted. A skin cancer diagnosis …
Secure smart wearable computing through artificial intelligence-enabled internet of things and cyber-physical systems for health monitoring
The functionality of the Internet is continually changing from the Internet of Computers (IoC)
to the “Internet of Things (IoT)”. Most connected systems, called Cyber-Physical Systems …
to the “Internet of Things (IoT)”. Most connected systems, called Cyber-Physical Systems …
Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment
S Dalal, P Manoharan, UK Lilhore, B Seth… - Journal of Cloud …, 2023 - Springer
There is an increase in cyberattacks directed at the network behind firewalls. An all-inclusive
approach is proposed in this assessment to deal with the problem of identifying new …
approach is proposed in this assessment to deal with the problem of identifying new …
Spatio-temporal modeling of COVID-19 prevalence and mortality using artificial neural network algorithms
The outbreak of coronavirus disease (COVID-19) has become one of the most challenging
global concerns in recent years. Due to inadequate worldwide studies on spatio-temporal …
global concerns in recent years. Due to inadequate worldwide studies on spatio-temporal …
AI-enabled radiologist in the loop: novel AI-based framework to augment radiologist performance for COVID-19 chest CT medical image annotation and classification …
Abstract A SARS-CoV-2 virus-specific reverse transcriptase-polymerase chain reaction (RT-
PCR) test is usually used to diagnose COVID-19. However, this test requires up to 2 days for …
PCR) test is usually used to diagnose COVID-19. However, this test requires up to 2 days for …
Fault detection in wireless sensor network based on deep learning algorithms
This paper is about Fault detection over a wireless sensor network in a fully distributed
manner. First, we proposed the Convex hull algorithm to calculate a set of extreme points …
manner. First, we proposed the Convex hull algorithm to calculate a set of extreme points …
[PDF][PDF] The Artificial Intelligence and Inventory Effect on Banking Industrial Performance.
R Setiawan, LP Leonardo Cavaliere… - … Online Journal of …, 2021 - researchgate.net
A vital element in development by the main technological problems is structural change and
an improved substantiality of good leadership." Many of what we do at the beginning of …
an improved substantiality of good leadership." Many of what we do at the beginning of …