ML‐DDoSnet: IoT intrusion detection based on denial‐of‐service attacks using machine learning methods and NSL‐KDD

M Esmaeili, SH Goki, BHK Masjidi… - Wireless …, 2022 - Wiley Online Library
The Internet of Things (IoT) is a complicated security feature in which datagrams are
protected by integrity, confidentiality, and authentication services. The network is protected …

Multi-objective SHADE with manta ray foraging optimizer for structural design problems

C Zhong, G Li, Z Meng, H Li, W He - Applied Soft Computing, 2023 - Elsevier
This paper presents a hybrid multi-objective success history-based parameter adaptive
differential evolution (SHADE) with manta ray foraging optimizer (MRFO) for structural …

New trends in detection of harmful insects and pests in modern agriculture using artificial neural networks. a review

D Popescu, A Dinca, L Ichim… - Frontiers in Plant Science, 2023 - frontiersin.org
Modern and precision agriculture is constantly evolving, and the use of technology has
become a critical factor in improving crop yields and protecting plants from harmful insects …

[HTML][HTML] Butterfly detection and classification techniques: A review

R Yasmin, A Das, LJ Rozario, ME Islam - Intelligent Systems with …, 2023 - Elsevier
Automatic identification of insects from images is gaining interest and popularity day by day.
Several methods and systems were developed to identify insects accurately. Among all the …

Quantum healthcare computing using precision based granular approach

L Aggarwal, S Sachdeva, P Goswami - Applied Soft Computing, 2023 - Elsevier
Previously, doctors interpreted diseases and their outcomes according to their experience in
diagnosis. However, with the rapid increase in technology and population, the task of …

[PDF][PDF] Large-scale insect pest image classification

TN Doan - Journal of Advances in Information Technology, 2023 - jait.us
One of the main issues with agricultural production is insect attack, which leads to poor crop
quality. Farmers, however, have a complicated and time-consuming task in detecting and …

Investigation of Applying Machine Learning and Hyperparameter Tuned Deep Learning Approaches for Arrhythmia Detection in ECG Images

K Shanmugavadivel, VE Sathishkumar… - … Methods in Medicine, 2022 - Wiley Online Library
The level of patient's illness is determined by diagnosing the problem through different
methods like physically examining patients, lab test data, and history of patient and by …

Big Data Analytics Using Artificial Intelligence

AH Gandomi, F Chen, L Abualigah - Electronics, 2023 - mdpi.com
Data analytics using artificial intelligence is the process of leveraging advanced AI
techniques to extract insights and knowledge from large and complex datasets [1]. This …

Fusion of linear and non-linear dimensionality reduction techniques for feature reduction in LSTM-based Intrusion Detection System

A Thakkar, N Kikani, R Geddam - Applied Soft Computing, 2024 - Elsevier
Securing networks is becoming increasingly crucial due to the widespread use of
information technology. Intrusion Detection System (IDS) plays a crucial role in network …

Automatic classification of parasitized fruit fly pupae from X-ray images by convolutional neural networks

RS Marinho, AAN Silva, CB Mastrangelo, AJ Prestes… - Ecological …, 2023 - Elsevier
The parasitoid wasp Diachasmimorpha longicaudata (Hymenoptera: Braconidae) has been
used for the biological control of fruit fly larvae in many countries. Due to the large scale of …