Metaverse: Virtual Meditation

SR Sindiramutty, NZ Jhanjhi, SK Ray… - Metaverse …, 2024 - igi-global.com
The rise of the metaverse as a digital domain for diverse activities has birthed an innovative
application known as 'metaverse virtual meditation.'This concept seamlessly merges …

Metaverse: Virtual Gyms and Sports

SR Sindiramutty, NZ Jhanjhi, SK Ray… - Metaverse …, 2024 - igi-global.com
In recent years, the concept of the metaverse has garnered substantial attention as an
emerging digital realm that combines virtual reality, augmented reality, and various …

Explainable AI for Cybersecurity

SR Sindiramutty, CE Tan, SP Lau… - … in Explainable AI …, 2024 - igi-global.com
In recent years, the utilization of AI in the field of cybersecurity has become more
widespread. Black-box AI models pose a significant challenge in terms of interpretability and …

[图书][B] Explainable Artificial Intelligence for Intelligent Transportation Systems: Ethics and Applications

L Gaur, BM Sahoo - 2022 - books.google.com
Transportation typically entails crucial “life-death” choices, delegating crucial decisions to an
AI algorithm without any explanation poses a serious threat. Hence, explainability and …

[PDF][PDF] A Comprehensive Evaluation of State-of-the-Art Deep Learning Models for Road Surface Type Classification.

N Hnoohom, S Mekruksavanich… - Intelligent Automation & …, 2023 - researchgate.net
In recent years, as intelligent transportation systems (ITS) such as autonomous driving and
advanced driver-assistance systems have become more popular, there has been a rise in …

Explainable AI in ITS: Ethical concerns

L Gaur, BM Sahoo - … for Intelligent Transportation Systems: Ethics and …, 2022 - Springer
Artificial intelligence (AI) is the ally that sustainable development requires inventing,
executing, advising, and planning our planet's future and sustainability more effectively. AI …

Development of Image Translating Model to Counter Adversarial Attacks

L Gaur, M Bhandari, T Razdan - DeepFakes, 2022 - taylorfrancis.com
Deep neural networks are DeepFakes (DFs) from adversarial examples, which are inputs
that are virtually indistinguishable from actual data but are labeled inaccurately by the …

Response index: quantitative evaluation index of translational equivariance

P Yang, L Kong, M Liu, G Tang, L Dong, Y Zhao… - Applied …, 2023 - Springer
Translational equivariance, one of the properties of Convolutional neural networks (CNNs),
directly reflects the coherence of the influence of input at each position on the output. By …

Wormhole Attack Detection Technques In MANET

M Bashir, S Tahir, MF Almufareh… - … on Business Analytics …, 2023 - ieeexplore.ieee.org
MANET is a wireless medium, with no infrastructure, for nodes to communicate within a
network. Movement of nodes is a lot more in this network than other networks due to lack of …

Threats and challenges by DeepFake technology

M Sareen - DeepFakes, 2022 - taylorfrancis.com
One of the contributions of AI is the emergence of DeepFake (DF) technology. It has seen a
spectacular rise in recent years, and it continues to grow in this meteoric fashion. With its …