Integration of deep learning into the iot: A survey of techniques and challenges for real-world applications

A Elhanashi, P Dini, S Saponara, Q Zheng - Electronics, 2023 - mdpi.com
The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …

[HTML][HTML] IoT-MFaceNet: Internet-of-Things-Based Face Recognition Using MobileNetV2 and FaceNet Deep-Learning Implementations on a Raspberry Pi-400

AS Mohammad, TG Jarullah, MTS Al-Kaltakchi… - Journal of Low Power …, 2024 - mdpi.com
IoT applications revolutionize industries by enhancing operations, enabling data-driven
decisions, and fostering innovation. This study explores the growing potential of IoT-based …

DeepCorr: a novel error correction method for 3GS long reads based on deep learning

R Wang, J Chen - PeerJ Computer Science, 2024 - peerj.com
Long reads generated by third-generation sequencing (3GS) technologies are involved in
many biological analyses and play a vital role due to their ultra-long read length. However …

Modeling of Intrusion Detection System Using Double Adaptive Weighting Arithmetic Optimization Algorithm with Deep Learning on Internet of Things Environment

VK Kalimuthu, R Velumani - Brazilian Archives of Biology and …, 2024 - SciELO Brasil
Abstract The Internet of Things (IoT) has experienced rapid development in area-specific
applications, including smart transportation systems, healthcare, industries, and smart …

Internet of Things Cybersecurity Platform Benchmark: A Machine Learning Assessment

RA Craciun, RN Pietraru, MA Moisescu - Journal of Control …, 2024 - ceai.srait.ro
Abstract Internet of Things (IoT) represents the interconnected network of different intelligent
objects that contain sensors, software, and connectivity enables them to collect and …

Edge Computing Enabled Anomaly Detection in IoT Environments Using Federated Learning

V Kansal, SO Husain, R Kumar… - 2024 International …, 2024 - ieeexplore.ieee.org
This research explores the integration of edge computing and unified learning procedures
for peculiarity locations in Internet of Things (IoT) situations. Four inconsistency discovery …

Performance Evaluation of Federated Learning for Anomaly Network Detection

R Alhammadi, A Gawanmeh, S Atalla… - 2023 Congress in …, 2023 - ieeexplore.ieee.org
Network anomaly detection is crucial for ensuring the security and dependability of modern
networked systems. Traditional machine learning methods face scalability, data security …

Assessing Industrial Internet of Things Security at the Network Edge Using Trust-Based Centralized and Federated Machine Learning

CY Jeffrey - 2024 - search.proquest.com
Abstract The Internet of Things (IoT) in industrial and factory environments is rapidly growing
toward enabling $3.3 trillion in economic value by 2030 (Chui et al., 2021). Increasingly, the …

A Review on Attack Landscape and Machine Learning Techniques for the Classification of Attacks in Internet of Medical Things (IoMT)

JO Olomu, AM Oyelakin, OM Ayinla… - … OF COMPUTING AND …, 2024 - laujci.lautech.edu.ng
Healthcare systems globally are struggling to handle the increasing number of patients,
partly due to busy work schedules. To address this issue and enhance healthcare services …

Enhancing IoT Security: A Synergy of Machine Learning, Artificial Intelligence, and Blockchain

AA bin Zainuddin, H Sairin, IA Mazlan… - Data Science …, 2024 - citedness.com
With the advancement of technological age, the growth of technology not only affecting the
network and security but also the Internet of Things (IoT), this invites the need for robust …