AI-based recommendation model for effective decision to maximise ROI

S Sellamuthu, SA Vaddadi, S Venkata, H Petwal… - Soft Computing, 2023 - Springer
Healthcare researchers have recently concentrated their efforts on new medication
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 …

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 …

[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 …

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 …

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 …

Deep Learning for IoT Security: Applications and Challenges

AA Soofi, H Ahmad - Emerging Technologies for Securing the Cloud …, 2024 - igi-global.com
The term internet of things (IoT) denotes the advanced phase of the internet, wherein a
worldwide communication infrastructure is established between individuals and machines …

A lightweight unsupervised adversarial detector based on autoencoder and isolation forest

H Liu, B Zhao, J Guo, K Zhang, P Liu - Pattern Recognition, 2024 - Elsevier
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 …

[HTML][HTML] LSTM-based stacked autoencoders for early anomaly detection in induction heating systems

MH Qais, S Kewat, KH Loo, CM Lai, A Leung - Mathematics, 2023 - mdpi.com
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 …

[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 …