AI-based recommendation model for effective decision to maximise ROI
Healthcare researchers have recently concentrated their efforts on new medication
development methodologies that draw on existing pharmacological data. Even while drug …
development methodologies that draw on existing pharmacological data. Even while drug …
Intrusion detection in Internet of things using improved binary golden jackal optimization algorithm and LSTM
AV Hanafi, A Ghaffari, H Rezaei, A Valipour… - Cluster Computing, 2024 - Springer
Internet of things (IoT) technology has gained a reputation in recent years due to its ease of
use and adaptability. Due to the amount of sensitive and significant data exchanged over the …
use and adaptability. Due to the amount of sensitive and significant data exchanged over the …
Drug-based recommendation system based on deep learning approach for data optimization
DMM Vianny, SA Vaddadi, C Karthikeyan, M Shahid… - Soft Computing, 2023 - Springer
In the current training, Artificial Neural Network (ANN) is utilized, which tuned by Particle
Swarm Optimization (PSO) to the challenge of predicting for finance applications. Several …
Swarm Optimization (PSO) to the challenge of predicting for finance applications. Several …
[HTML][HTML] Insights into Modern Intrusion Detection Strategies for Internet of Things Ecosystems
B Isong, O Kgote, A Abu-Mahfouz - Electronics, 2024 - mdpi.com
The swift explosion of Internet of Things (IoT) devices has brought about a new era of
interconnectivity and ease of use while simultaneously presenting significant security …
interconnectivity and ease of use while simultaneously presenting significant security …
A multi-state fusion informer integrating transfer learning for metal tube bending early wrinkling prediction
Z Wang, Y Yuan, S Zhang, Y Lin, J Tan - Applied Soft Computing, 2024 - Elsevier
Wrinkling is one of the most fatal defects of metal tube bending, which may seriously affect
the forming quality and even lead to forming failure. Traditional wrinkling prediction methods …
the forming quality and even lead to forming failure. Traditional wrinkling prediction methods …
Web accessibility evaluation of private and government websites for people with disabilities through fuzzy classifier in the USA
NSA Polireddi, K Chaitanya - Soft Computing, 2023 - Springer
The impact of technological advancements in construct the web in order to make it
accessible for people with impairments was examined through a retrospective analysis of …
accessible for people with impairments was examined through a retrospective analysis of …
Deep Learning for IoT Security: Applications and Challenges
The term internet of things (IoT) denotes the advanced phase of the internet, wherein a
worldwide communication infrastructure is established between individuals and machines …
worldwide communication infrastructure is established between individuals and machines …
A lightweight unsupervised adversarial detector based on autoencoder and isolation forest
Although deep neural networks (DNNs) have performed well on many perceptual tasks, they
are vulnerable to adversarial examples that are generated by adding slight but maliciously …
are vulnerable to adversarial examples that are generated by adding slight but maliciously …
[HTML][HTML] LSTM-based stacked autoencoders for early anomaly detection in induction heating systems
Due to the contactless operation of cookware on induction heating systems, the temperature
of the cookware is measured remotely using thermal sensors placed on the center of the …
of the cookware is measured remotely using thermal sensors placed on the center of the …
[HTML][HTML] Deep-CNN based knowledge learning with beluga whale optimization using chaogram transformation using intelligent sensors for speech emotion …
C Deepika, S Kuchibhotla - Measurement: Sensors, 2024 - Elsevier
In recent times, there has been a lot of focus placed on speech emotion recognition, often
known as SER. SER is a fundamental approach to emotional human-machine interaction …
known as SER. SER is a fundamental approach to emotional human-machine interaction …