A comprehensive review on deep learning algorithms: Security and privacy issues
Abstract Machine Learning (ML) algorithms are used to train the machines to perform
various complicated tasks that begin to modify and improve with experiences. It has become …
various complicated tasks that begin to modify and improve with experiences. It has become …
Semantics-empowered communications: A tutorial-cum-survey
Along with the springing up of the semantics-empowered communication (SemCom)
research, it is now witnessing an unprecedentedly growing interest towards a wide range of …
research, it is now witnessing an unprecedentedly growing interest towards a wide range of …
Machine learning for advanced wireless sensor networks: A review
Wireless sensor networks (WSNs) are typically used with dynamic conditions of task-related
environments for sensing (monitoring) and gathering of raw sensor data for subsequent …
environments for sensing (monitoring) and gathering of raw sensor data for subsequent …
An optimal least square support vector machine based earnings prediction of blockchain financial products
The booming applications of bitcoin Blockchain technologies made investors concerned
about the return and risk of financial products. So, the return rate of bitcoin must be foreseen …
about the return and risk of financial products. So, the return rate of bitcoin must be foreseen …
[Retracted] Intelligent Recommendation System Based on Mathematical Modeling in Personalized Data Mining
Y Cui - Mathematical Problems in Engineering, 2021 - Wiley Online Library
With the advent of the era of big data, data mining has become one of the key technologies
in the field of research and business. In order to improve the efficiency of data mining, this …
in the field of research and business. In order to improve the efficiency of data mining, this …
Recent studies utilizing artificial intelligence techniques for solving data collection, aggregation and dissemination challenges in wireless sensor networks: a review
The growing importance and widespread adoption of Wireless Sensor Network (WSN)
technologies have helped the enhancement of smart environments in numerous sectors …
technologies have helped the enhancement of smart environments in numerous sectors …
Reliable multi-object tracking model using deep learning and energy efficient wireless multimedia sensor networks
Presently, sensor-cloud based environment becomes highly beneficial due to its
applicability in several domains. Wireless multimedia sensor network (WMSN) is one among …
applicability in several domains. Wireless multimedia sensor network (WMSN) is one among …
Ai-based resource allocation techniques in wireless sensor internet of things networks in energy efficiency with data optimization
For the past few years, the IoT (Internet of Things)-based restricted WSN (Wireless sensor
network) has sparked a lot of attention and progress in order to attain improved resource …
network) has sparked a lot of attention and progress in order to attain improved resource …
Image recognition technology based on machine learning
L Liu, Y Wang, W Chi - IEEE Access, 2020 - ieeexplore.ieee.org
With the development of machine learning for decades, there are still many problems
unsolved, such as image recognition and location detection, image classification, image …
unsolved, such as image recognition and location detection, image classification, image …
Thermal error prediction for heavy-duty CNC machines enabled by long short-term memory networks and fog-cloud architecture
Heavy-duty CNC machines are important equipment in manufacturing large-scale and high-
end products. During the machining processes, a significant amount of heat is generated to …
end products. During the machining processes, a significant amount of heat is generated to …