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 …
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
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 …
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 …
literature has expanded significantly in the past few years. This paper provides a timely …
Triage of potential COVID-19 patients from chest X-ray images using hierarchical convolutional networks
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 …
techniques for a potential alternative to reverse transcription-polymerase chain reaction due …
Towards soft real-time fault diagnosis for edge devices in industrial IoT using deep domain adaptation training strategy
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 …
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
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 …
can significantly improve the fault tolerance performance of wireless sensor networks …
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 …
indispensable and significant method of facilitating pervasive computing for making suitable …
SDN architecture for UAVs and EVs using satellite: A hypothetical model and new challenges for future
Software-Defined Networking (SDN) the upcoming popular, reliable, and agile networking
for the future. The programmability and centralized control system of SDN attracted many …
for the future. The programmability and centralized control system of SDN attracted many …
A new asymmetric link quality routing protocol (ALQR) for heterogeneous WSNs
Wireless sensor networks (WSNs) have received a lot of attention due to numerous
advancements, especially in smartphones, smart watches, smart homes, and even smart …
advancements, especially in smartphones, smart watches, smart homes, and even smart …
[HTML][HTML] Energy Efficient CH Selection Scheme Based on ABC and Q-Learning Approaches for IoUT Applications
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 …
However, it has some issues with energy efficiency and network lifetime. The network …