A Complete Process of Text Classification System Using State‐of‐the‐Art NLP Models
With the rapid advancement of information technology, online information has been
exponentially growing day by day, especially in the form of text documents such as news …
exponentially growing day by day, especially in the form of text documents such as news …
Artificial intelligence for carbon emissions using system of systems theory
The impact of artificial intelligence (AI) on the environment is the subject of discourse, with
arguments for both positive and negative effects. There is a fine line between AI for good …
arguments for both positive and negative effects. There is a fine line between AI for good …
Heart failure detection using quantum‐enhanced machine learning and traditional machine learning techniques for internet of artificially intelligent medical things
Quantum‐enhanced machine learning plays a vital role in healthcare because of its robust
application concerning current research scenarios, the growth of novel medical trials, patient …
application concerning current research scenarios, the growth of novel medical trials, patient …
Computational intelligence and metaheuristic techniques for brain tumor detection through IoMT‐enabled MRI devices
The brain tumor is the 22nd most common cancer worldwide, with 1.8% of new cancers. It is
likely the most severe ailment that necessitates early discovery and treatment, and it …
likely the most severe ailment that necessitates early discovery and treatment, and it …
[HTML][HTML] Robust and secure data transmission using artificial intelligence techniques in ad-hoc networks
The paper presents a new security aspect for a Mobile Ad-Hoc Network (MANET)-based IoT
model using the concept of artificial intelligence. The Black Hole Attack (BHA) is considered …
model using the concept of artificial intelligence. The Black Hole Attack (BHA) is considered …
A latent dirichlet allocation technique for opinion mining of online reviews of global chain hotels
The hospitality industry has faced unprecedented challenges with the outbreak of Covid-19,
which has changed customers' expectations. Therefore, it is essential to identify customers' …
which has changed customers' expectations. Therefore, it is essential to identify customers' …
Introduction to explainable AI and intelligent transportation
Artificial Intelligence (AI) has gained significant traction in recent years, and if properly
handled, it has the potential to exceed expectations in a wide range of application areas …
handled, it has the potential to exceed expectations in a wide range of application areas …
[HTML][HTML] Youth Participation for Sustainable Value Creation: The Role and Prioritization of SDGs
T Borojević, N Petrović, JA Radaković, H Glomazić… - Sustainability, 2023 - mdpi.com
Young people play a pivotal role in instigating and driving significant changes. The impact of
individuals' involvement in environmental conservation, community development, and social …
individuals' involvement in environmental conservation, community development, and social …
Modern Smart Cities and Open Research Challenges and Issues of Explainable Artificial Intelligence
SR Sindiramutty, CE Tan, WJ Tee, SP Lau… - … in Explainable AI …, 2024 - igi-global.com
This chapter's purpose is to review the modern smart cities and open research challenges
and issues of explainable artificial intelligence (XAI). With the advent of XAI, people's lives …
and issues of explainable artificial intelligence (XAI). With the advent of XAI, people's lives …
K-Means clustering using fuzzy C-Means based image segmentation for Lung Cancer
This research paper aims to focus on the moral cluster production of lung cancer in the lungs
information and breaks down the presentation of segment-based calculations. This …
information and breaks down the presentation of segment-based calculations. This …