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 …

Machine learning and deep learning techniques for internet of things network anomaly detection—current research trends

SH Rafique, A Abdallah, NS Musa, T Murugan - Sensors, 2024 - mdpi.com
With its exponential growth, the Internet of Things (IoT) has produced unprecedented levels
of connectivity and data. Anomaly detection is a security feature that identifies instances in …

Towards design of Internet of Things and machine learning-enabled frameworks for analysis and prediction of water quality

MA Rahu, AF Chandio, K Aurangzeb, S Karim… - IEEE …, 2023 - ieeexplore.ieee.org
The degradation of water quality has become a critical concern worldwide, necessitating
innovative approaches for monitoring and predicting water quality. This paper proposes an …

An energy-efficient routing protocol with reinforcement learning in software-defined wireless sensor networks

D Godfrey, BK Suh, BH Lim, KC Lee, KI Kim - Sensors, 2023 - mdpi.com
The enormous increase in heterogeneous wireless devices operating in real-time
applications for Internet of Things (IoT) applications presents new challenges, including …

A topical review on AI-interlinked biodomain sensors for multi-purpose applications

R Thapa, S Poudel, K Krukiewicz, A Kunwar - Measurement, 2024 - Elsevier
Based on their construction or working principles, biosensors, biomimetic sensors, and
bioapplicable sensors may have been understood differently, but everyone acknowledges …

[HTML][HTML] Anomaly classification in industrial internet of things: a review

M Rodríguez, DP Tobón, D Múnera - Intelligent Systems with Applications, 2023 - Elsevier
The fourth industrial revolution (Industry 4.0) has the potential to provide real-time, secure,
and autonomous manufacturing environments. The Industrial Internet of Things (IIoT) is a …

Enhancing HR Efficiency Through the Integration of Artificial Intelligence and Internet of Things: A Study on AI Implementation in Human Resource Management

SA Abasaheb, R Subashini - EAI endorsed transactions on …, 2024 - publications.eai.eu
The AI has a positive impact on the internet of things. Moreover, high development of the
workplace is allowed to be determined. Therefore, innovation within the workplace is …

CECvT: Initial Diagnosis of Anomalies in Thermal Images

D Kim, H Hwang, H Kim - IEEE Access, 2023 - ieeexplore.ieee.org
Given the global competitive landscape, it is imperative that businesses maintain and
manage their facilities continuously to enhance efficiency and productivity for sustaining …

Anomaly detection for early ransomware and spyware warning in nuclear power plant systems based on FusionGuard

AHN Almoqbil - International Journal of Information Security, 2024 - Springer
Securing critical infrastructure, particularly nuclear power plants, against emerging cyber
threats necessitates innovative cybersecurity approaches. This research introduces …

[PDF][PDF] Comprehensive Survey on AI-Based Technologies for Enhancing IoT Privacy and Security: Trends, Challenges, and Solutions

OEL Castro, X Deng, JH Park - HUMAN-CENTRIC COMPUTING AND …, 2023 - hcisj.com
Abstract The Internet of Things (IoT) is revolutionizing modern technology by connecting
numerous devices and applications. However, its lack of standardization has led to security …