AIMC Topic: Internet
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Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups.
Sensors (Basel, Switzerland)
Dec 20, 2022
Deep learning pervades heavy data-driven disciplines in research and development. The Internet of Things and sensor systems, which enable smart environments and services, are settings where deep learning can provide invaluable utility. However, the d...
Toward the Internet of Medical Things: Architecture, trends and challenges.
Mathematical biosciences and engineering : MBE
Dec 19, 2022
In recent years, the growing pervasiveness of wearable technology has created new opportunities for medical and emergency rescue operations to protect users' health and safety, such as cost-effective medical solutions, more convenient healthcare and ...
Operon Finder: A Deep Learning-based Web Server for Accurate Prediction of Prokaryotic Operons.
Journal of molecular biology
Dec 14, 2022
Operons are groups of consecutive genes that transcribe together under the regulation of a common promoter. They influence protein regulation and various physiological pathways, making their accurate detection desirable. The detection of operons thro...
Hybrid Intelligence-Driven Medical Image Recognition for Remote Patient Diagnosis in Internet of Medical Things.
IEEE journal of biomedical and health informatics
Dec 7, 2022
In ear of smart cities, intelligent medical image recognition technique has become a promising way to solve remote patient diagnosis in IoMT. Although deep learning-based recognition approaches have received great development during the past decade, ...
Malware Detection in Internet of Things (IoT) Devices Using Deep Learning.
Sensors (Basel, Switzerland)
Nov 29, 2022
Internet of Things (IoT) devices usage is increasing exponentially with the spread of the internet. With the increasing capacity of data on IoT devices, these devices are becoming venerable to malware attacks; therefore, malware detection becomes an ...
Detection of Middlebox-Based Attacks in Healthcare Internet of Things Using Multiple Machine Learning Models.
Computational intelligence and neuroscience
Nov 28, 2022
The huge number of network traffic data, the abundance of available network features, and the diversity of cyber-attack patterns mean that intrusion detection remains difficult even though many earlier efforts have succeeded in building the Internet ...
Room-Temperature Semiconductor Gas Sensors: Challenges and Opportunities.
ACS sensors
Nov 18, 2022
Our demand for ubiquitous and reliable gas detection is spurring the design of intelligent and enabling gas sensors for the next-generation Internet of Things and Artificial Intelligence. The desire to introduce gas sensors everywhere is fueled by op...
Online Boosting-Based Target Identification among Similar Appearance for Person-Following Robots.
Sensors (Basel, Switzerland)
Nov 2, 2022
It is challenging for a mobile robot to follow a specific target person in a dynamic environment, comprising people wearing similar-colored clothes and having the same or similar height. This study describes a novel framework for a person identificat...
FPGA Applied to Latency Reduction for the Tactile Internet.
Sensors (Basel, Switzerland)
Oct 16, 2022
Tactile internet applications allow robotic devices to be remotely controlled over a communication medium with an unnoticeable time delay. In bilateral communication, the acceptable round trip latency is usually 1 ms up to 10 ms, depending on the app...
Digital Media Teaching and Effectiveness Evaluation Integrating Big Data and Artificial Intelligence.
Computational intelligence and neuroscience
Sep 22, 2022
With the development of digital media technology, its application in teaching and learning is becoming more widespread. Digital media technology helps present information in transmitting knowledge or skills, reduces cognitive load, and promotes under...
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