AIMC Topic: Communication

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Sensor Topology Optimization in Dense IoT Environments by Applying Neural Network Configuration.

Sensors (Basel, Switzerland)
In dense IoT deployments of wireless sensor networks (WSNs), sensor placement, coverage, connectivity, and energy constraints determine the overall network lifetime. In large-size WSNs, it is difficult to maintain a trade-off among these conflicting ...

Adaptive Fuzzy Logic Deep-Learning Equalizer for Mitigating Linear and Nonlinear Distortions in Underwater Visible Light Communication Systems.

Sensors (Basel, Switzerland)
Underwater visible light communication (UVLC) has recently come to light as a viable wireless carrier for signal transmission in risky, uncharted, and delicate aquatic environments like seas. Despite the potential of UVLC as a green, clean, and safe ...

[Application of artificial intelligence systems in the emergency room : Do the communication patterns give indications for possible starting points? An observational study].

Unfallchirurgie (Heidelberg, Germany)
BACKGROUND: High expectations are currently attached to the application of artificial intelligence (AI) in the resuscitation room treatment of trauma patients with respect to the development of decision support systems. No data are available regardin...

NR5G-SAM: A SLAM Framework for Field Robot Applications Based on 5G New Radio.

Sensors (Basel, Switzerland)
Robot localization is a crucial task in robotic systems and is a pre-requisite for navigation. In outdoor environments, Global Navigation Satellite Systems (GNSS) have aided towards this direction, alongside laser and visual sensing. Despite their ap...

SCADA securing system using deep learning to prevent cyber infiltration.

Neural networks : the official journal of the International Neural Network Society
Supervisory Control and Data Acquisition (SCADA) systems are computer-based control architectures specifically engineered for the operation of industrial machinery via hardware and software models. These systems are used to project, monitor, and auto...

Leader-Based Flocking of Multiple Swarm Robots in Underwater Environments.

Sensors (Basel, Switzerland)
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 ...

Design Path for a Social Robot for Emotional Communication for Children with Autism Spectrum Disorder (ASD).

Sensors (Basel, Switzerland)
Children with autism spectrum disorder (ASD) have deficits in social interaction and expressing and understanding emotions. Based on this, robots for children with ASD have been proposed. However, few studies have been conducted about how to design a...

Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing.

La Radiologia medica
Structured reporting may improve the radiological workflow and communication among physicians. Artificial intelligence applications in medicine are growing fast. Large language models (LLMs) are recently gaining importance as valuable tools in radiol...

ChatGPT and conversational artificial intelligence: Friend, foe, or future of research?

The American journal of emergency medicine
Artificial intelligence (AI) and machine learning are increasingly utilized across healthcare. More recently, there has been a rise in the use AI within research, particularly through novel conversational AI platforms, such as ChatGPT. In this Contro...

Evolution-communication spiking neural P systems with energy request rules.

Neural networks : the official journal of the International Neural Network Society
Evolution-communication spiking neural P systems with energy request rules (ECSNP-ER systems) are proposed and developed as a new variant of evolution-communication spiking neural P systems. In ECSNP-ER systems, in addition to spike-evolution rules a...