AI-empowered fog/edge resource management for IoT applications: A comprehensive review, research challenges and future perspectives
The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …
Edge computing on IoT for machine signal processing and fault diagnosis: A review
Edge computing is an emerging paradigm that offloads the computations and analytics
workloads onto the Internet of Things (IoT) edge devices to accelerate the computation …
workloads onto the Internet of Things (IoT) edge devices to accelerate the computation …
Suspicious activity detection model in bank transactions using deep learning with fog computing infrastructure
The banking sectors are facing several challenges in detecting and preventing different
types of cyber attacks. The main challenge is to find the suspicious activities in money …
types of cyber attacks. The main challenge is to find the suspicious activities in money …
Securing data and preserving privacy in cloud IoT-based technologies an analysis of assessing threats and developing effective safeguard
M Pathak, KN Mishra, SP Singh - Artificial Intelligence Review, 2024 - Springer
Abstract The Internet of Things (IoT) is a powerful technology adopted in various industries.
Applications of the IoT aim to enhance automation, productivity, and user comfort in a cloud …
Applications of the IoT aim to enhance automation, productivity, and user comfort in a cloud …
Accelerometer time series augmentation through externally driving a non-linear dynamical system
Coupled non-linear dynamical systems have gained attention not only as a ubiquitous
occurrence in natural and artificial scenarios, but also as a basis for atypical computation …
occurrence in natural and artificial scenarios, but also as a basis for atypical computation …
Cocv: A compression algorithm for time-series data with continuous constant values in IoT-based monitoring systems
Sensor-generated time-series data now constitutes a significant and growing portion of the
world's data due to the rapid proliferation of the Internet of Things (IoT). The transmission …
world's data due to the rapid proliferation of the Internet of Things (IoT). The transmission …
Towards an AI-Driven Data Reduction Framework for Smart City Applications
The accelerated development of technologies within the Internet of Things landscape has
led to an exponential boost in the volume of heterogeneous data generated by …
led to an exponential boost in the volume of heterogeneous data generated by …
Intelligent Edge-powered Data Reduction: A Systematic Literature Review
The development of the Internet of Things (IoT) paradigm and its significant spread as an
affordable data source has brought many challenges when pursuing efficient data collection …
affordable data source has brought many challenges when pursuing efficient data collection …
An intelligent data capturing framework to improve condition monitoring and anomaly detection for industrial machines
Companies understand the need to monitor their machines when operational under real life
conditions, since it provides valuable information on how these machines and their …
conditions, since it provides valuable information on how these machines and their …
The integration of Wireless Sensor Networks, Mobile Networks and Cloud Engineering for a decision support system-A Systematic Literature Review
Wireless Sensor Networks are an innovative technology that can be used to provide
important information. Their applications are being found in several areas today like …
important information. Their applications are being found in several areas today like …