An ensemble machine learning approach through effective feature extraction to classify fake news

S Hakak, M Alazab, S Khan, TR Gadekallu… - Future Generation …, 2021 - Elsevier
There are numerous channels available such as social media, blogs, websites, etc., through
which people can easily access the news. It is due to the availability of these platforms that …

BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm

S Abbas, Z Jalil, AR Javed, I Batool, MZ Khan… - PeerJ Computer …, 2021 - peerj.com
Breast cancer is one of the leading causes of death in the current age. It often results in
subpar living conditions for a patient as they have to go through expensive and painful …

A survey on firefly algorithms

J Li, X Wei, B Li, Z Zeng - Neurocomputing, 2022 - Elsevier
Firefly algorithm (FA) is one of the popular algorithms of Swarm Intelligence domain. The
literature has expanded significantly in the past few years. This paper provides a timely …

An Improved Energy Efficient Chimp Optimization Routing Algorithm for Underwater Acoustic Sensor Networks

A Kannappan, RM Bommi - … on Data Science, Agents & Artificial …, 2022 - ieeexplore.ieee.org
Underwater Wireless Acoustic Sensor Networks (UWASN) have evolved as an
indispensable and significant method of facilitating pervasive computing for making suitable …

Towards soft real-time fault diagnosis for edge devices in industrial IoT using deep domain adaptation training strategy

D Kumar, SM Ujjan, K Dev, SA Khowaja… - Journal of Parallel and …, 2022 - Elsevier
Artificial intelligence and industrial internet of things (IIoT) have been rejuvenating the fault
diagnosis systems in Industry 4.0 for avoiding major financial losses caused by faults in …

Toward robust and energy-efficient clustering wireless sensor networks: A double-stage scale-free topology evolution model

X Fu, P Pace, G Aloi, W Li, G Fortino - Computer Networks, 2021 - Elsevier
Establishing a scale-free topology is widely regarded as one of the effective methods that
can significantly improve the fault tolerance performance of wireless sensor networks …

Triage of potential COVID-19 patients from chest X-ray images using hierarchical convolutional networks

K Dev, SA Khowaja, AS Bist, V Saini… - Neural Computing and …, 2023 - Springer
The current COVID-19 pandemic has motivated the researchers to use artificial intelligence
techniques for a potential alternative to reverse transcription-polymerase chain reaction due …

A survey on localization and energy efficiency in UWSN: bio-inspired approach

J Murali, T Shankar - Discover Applied Sciences, 2024 - Springer
The underwater wireless sensor networks (UWSNs) area is a develo** area of research
since there are tremendous opportunities like surveying marine life, installing and …

Nodes performance improvement uasn by using biological inspired algorithm

K Sivasami, S Thangalakshmi… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Underwater Acoustic Sensor Network (UASN) routing is difficult for several reasons. First,
the UASN's energy consumption rises because the distance between nodes changes as it …

[HTML][HTML] Energy efficient CH selection scheme based on ABC and Q-learning approaches for IoUT applications

E Sayed Ali, RA Saeed, IK Eltahir, M Abdelhaq… - Systems, 2023 - mdpi.com
Nowadays, the Internet of Underwater Things (IoUT) provides many marine 5G applications.
However, it has some issues with energy efficiency and network lifetime. The network …