Machine learning for human emotion recognition: a comprehensive review
EMG Younis, S Mohsen, EH Houssein… - Neural Computing and …, 2024 - Springer
Emotion is an interdisciplinary research field investigated by many research areas such as
psychology, philosophy, computing, and others. Emotions influence how we make …
psychology, philosophy, computing, and others. Emotions influence how we make …
Malicious detection model with artificial neural network in IoT-based smart farming security
Abstract The Internet of Things (IoT) tunes modern technologies, including wireless sensors
and cloud computing, to create a homogeneous and highly effective environment. Therefore …
and cloud computing, to create a homogeneous and highly effective environment. Therefore …
A comprehensive review on the Internet of Things in precision agriculture
G Singh, S Sharma - Multimedia Tools and Applications, 2024 - Springer
A quickening transformation in the agriculture sector is being driven by the growth of Internet
of Things (IoT) technology. The need for food production is growing quickly because it is …
of Things (IoT) technology. The need for food production is growing quickly because it is …
Honey-block: Edge assisted ensemble learning model for intrusion detection and prevention using defense mechanism in IoT
Abstract The Internet of Things (IoT) has gained popularity with interconnected devices and
diverse network applications, leading to increased vulnerability of sensitive data to security …
diverse network applications, leading to increased vulnerability of sensitive data to security …
[HTML][HTML] A novel approach of botnet detection using hybrid deep learning for enhancing security in IoT networks
In an era dominated by the Internet of Things (IoT), protecting interconnected devices from
botnets has become essential. This study introduces an innovative hybrid deep learning …
botnets has become essential. This study introduces an innovative hybrid deep learning …
A secure authentication framework for IoV based on blockchain and ensemble learning
W Jiang, X Lv, J Tao - Vehicular Communications, 2024 - Elsevier
A secure authentication framework based on blockchain and ensemble learning is proposed
to address the problem that vehicle identity privacy data in Internet of Vehicles (IoV) is …
to address the problem that vehicle identity privacy data in Internet of Vehicles (IoV) is …
GTBNN: game-theoretic and bayesian neural networks to tackle security attacks in intelligent transportation systems
The extensive implementation of cloud computing has brought about a significant
transformation in multiple industries, encompassing major corporations, individual …
transformation in multiple industries, encompassing major corporations, individual …
Advanced ML/DL-Based Intrusion Detection Systems for Software-Defined Networks
Abstract Software Defined Networking (SDN) is an innovative option with great potential for
the future growth of the Internet. It enhances the flexibility and transparency of centralized …
the future growth of the Internet. It enhances the flexibility and transparency of centralized …
[HTML][HTML] A two-tiered framework for anomaly classification in IoT networks utilizing CNN-BiLSTM model
Y Guan, M Noferesti, N Ezzati-Jivan - Software Impacts, 2024 - Elsevier
The paper introduces ACS-IoT, an Anomaly Classification System for IoT networks,
structured as a two-tiered framework. In the first, it employs a decision tree classifier for …
structured as a two-tiered framework. In the first, it employs a decision tree classifier for …
IoT Intrusion Detection: A Review of ML and DL-Based Approaches
I Rakine, K El Guemmat, S Ouahabi… - 2024 4th International …, 2024 - ieeexplore.ieee.org
The world is becoming more and more tied to the Internet of Things (IoT) technology. It is
present in almost every era: healthcare, agriculture, education, industry, etc. This technology …
present in almost every era: healthcare, agriculture, education, industry, etc. This technology …