AIMC Topic: Computer Communication Networks

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Topological information embedded convolutional neural network-based lotus effect optimization for path improvisation of the mobile anchors in wireless sensor networks.

Network (Bristol, England) Apr 22, 2024
Wireless sensor networks (WSNs) rely on mobile anchor nodes (MANs) for network connectivity, data aggregation, and location information. However, MANs' mobility can disrupt energy consumption and network performance. Effective path improvisation algo...
Neural Networks, Computer Algorithms Computer Communication Networks Wireless Technology Convolutional Neural Networks Computer Simulation
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Efficient cluster-based routing protocol for wireless sensor networks by using collaborative-inspired Harris Hawk optimization and fuzzy logic.

PloS one Apr 5, 2024
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...
Wireless Technology Falconiformes Computer Communication Networks Fuzzy Logic Algorithms Animals
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Q-learning and fuzzy logic multi-tier multi-access edge clustering for 5g v2x communication.

Network (Bristol, England) Mar 6, 2024
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 ...
Computer Communication Networks Cluster Analysis Humans Fuzzy Logic Algorithms
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Flamingo Jelly Fish search optimization-based routing with deep-learning enabled energy prediction in WSN data communication.

Network (Bristol, England) Feb 8, 2024
Nowadays, wireless sensor networks (WSN) have gained huge attention worldwide due to their wide applications in different domains. The limited amount of energy resources is considered as the main limitations of WSN, which generally affect the network...
Deep Learning Computer Communication Networks Algorithms Physical Phenomena Wireless Technology
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Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service.

Artificial intelligence in medicine Jan 24, 2024
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...
Quality of Life Quality of Health Care Machine Learning Computer Communication Networks Artificial Intelligence Humans
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The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach.

Journal of medical Internet research Jul 12, 2023
BACKGROUND: Machine learning and artificial intelligence have shown promising results in many areas and are driven by the increasing amount of available data. However, these data are often distributed across different institutions and cannot be easil...
Artificial Intelligence Humans Computer Communication Networks Privacy Algorithms Health Occupations Software
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Learning Attentional Communication with a Common Network for Multiagent Reinforcement Learning.

Computational intelligence and neuroscience Jun 28, 2023
For multiagent communication and cooperation tasks in partially observable environments, most of the existing works only use the information contained in hidden layers of a network at the current moment, limiting the source of information. In this pa...
Computer Communication Networks Algorithms Machine Learning Knowledge
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Adaptive neural-network-based sliding mode control of switching distributed delay systems with Markov jump parameters.

Neural networks : the official journal of the International Neural Network Society Jun 22, 2023
This paper is devoted to the issue of observer-based adaptive sliding mode control of distributed delay systems with deterministic switching rules and stochastic jumping process, simultaneously, through a neural network approach. Firstly, relying on ...
Motion Computer Communication Networks Neural Networks, Computer
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Towards an Optimized Distributed Message Queue System for AIoT Edge Computing: A Reinforcement Learning Approach.

Sensors (Basel, Switzerland) Jun 8, 2023
The convergence of artificial intelligence and the Internet of Things (IoT) has made remarkable strides in the realm of industry. In the context of AIoT edge computing, where IoT devices collect data from diverse sources and send them for real-time p...
Artificial Intelligence Algorithms Industry Computer Communication Networks Learning
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Leader-Based Flocking of Multiple Swarm Robots in Underwater Environments.

Sensors (Basel, Switzerland) Jun 2, 2023
Considering underwater environments, this paper tackles flocking of multiple swarm robots utilizing one leader. The mission of swarm robots is to reach their goal while not colliding with a priori unknown 3D obstacles. In addition, the communication ...
Computer Communication Networks Robotics Acoustics Communication
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