AI Medical Compendium Topic

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Computer Communication Networks

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Effective DDoS attack detection in software-defined vehicular networks using statistical flow analysis and machine learning.

PloS one
Vehicular Networks (VN) utilizing Software Defined Networking (SDN) have garnered significant attention recently, paralleling the advancements in wireless networks. VN are deployed to optimize traffic flow, enhance the driving experience, and ensure ...

An energy-aware protocol in wireless sensor networks using the scattered search algorithm and fuzzy logic.

PloS one
Given the resource limitations of wireless sensor networks (WSNs), energy conservation is of utmost importance. Moreover, minimizing data collection delays is crucial to maintaining data freshness. Additionally, it is desirable to increase the number...

Advancements in intrusion detection: A lightweight hybrid RNN-RF model.

PloS one
Computer networks face vulnerability to numerous attacks, which pose significant threats to our data security and the freedom of communication. This paper introduces a novel intrusion detection technique that diverges from traditional methods by leve...

Efficient cluster-based routing protocol for wireless sensor networks by using collaborative-inspired Harris Hawk optimization and fuzzy logic.

PloS one
In wireless sensor networks, the implementation of clustering and routing protocols has been crucial in prolonging the network's operational duration by conserving energy. However, the challenge persists in efficiently optimizing energy usage to maxi...

Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service.

Artificial intelligence in medicine
The healthcare sector, characterized by vast datasets and many diseases, is pivotal in shaping community health and overall quality of life. Traditional healthcare methods, often characterized by limitations in disease prevention, predominantly react...

Q-learning and fuzzy logic multi-tier multi-access edge clustering for 5g v2x communication.

Network (Bristol, England)
The 5th generation (5 G) network is required to meet the growing demand for fast data speeds and the expanding number of customers. Apart from offering higher speeds, 5 G will be employed in other industries such as the Internet of Things, broadcast ...

Detecting DoS Attacks through Synthetic User Behavior with Long Short-Term Memory Network.

Sensors (Basel, Switzerland)
With the escalation in the size and complexity of modern Denial of Service attacks, there is a need for research in the context of Machine Learning (ML) used in attack execution and defense against such attacks. This paper investigates the potential ...

FSRW: fuzzy logic-based whale optimization algorithm for trust-aware routing in IoT-based healthcare.

Scientific reports
The Internet of Things (IoT) is an extensive system of interrelated devices equipped with sensors to monitor and track real world objects, spanning several verticals, covering many different industries. The IoT's promise is capturing interest as its ...

6G in medical robotics: development of network allocation strategies for a telerobotic examination system.

International journal of computer assisted radiology and surgery
PURPOSE: Healthcare systems around the world are increasingly facing severe challenges due to problems such as staff shortage, changing demographics and the reliance on an often strongly human-dependent environment. One approach aiming to address the...

An efficient detection of Sinkhole attacks using machine learning: Impact on energy and security.

PloS one
In the realm of Wireless Sensor Networks (WSNs), the detection and mitigation of sinkhole attacks remain pivotal for ensuring network integrity and efficiency. This paper introduces SFlexCrypt, an innovative approach tailored to address these securit...