AIMC Topic: Cognition

Clear Filters Showing 251 to 260 of 734 articles

Optimization of Residential Landscape Design and Supply Chain System Using Intelligent Fuzzy Cognitive Map and Genetic Algorithm.

Computational intelligence and neuroscience
This work intends to optimize residential landscape design and Supply Chain (SC) network systems. First, Fuzzy Cognitive Map (FCM) intelligent assistance and genetic algorithm (GA) are used to study residential landscape design and its integration wi...

Investigating Methods for Cognitive Workload Estimation for Assistive Robots.

Sensors (Basel, Switzerland)
Robots interacting with humans in assistive contexts have to be sensitive to human cognitive states to be able to provide help when it is needed and not overburden the human when the human is busy. Yet, it is currently still unclear which sensing mod...

Global research trends and foci of artificial intelligence-based tumor pathology: a scientometric study.

Journal of translational medicine
BACKGROUND: With the development of digital pathology and the renewal of deep learning algorithm, artificial intelligence (AI) is widely applied in tumor pathology. Previous researches have demonstrated that AI-based tumor pathology may help to solve...

Cognitive load affects early processes involved in mentalizing robot behaviour.

Scientific reports
How individuals interpret robots' actions is a timely question in the context of the general approach to increase robot's presence in human social environment in the decades to come. Facing robots, people might have a tendency to explain their action...

A Joint Automatic Modulation Classification Scheme in Spatial Cognitive Communication.

Sensors (Basel, Switzerland)
Automatic modulation discrimination (AMC) is one of the critical technologies in spatial cognitive communication systems. Building a high-performance AMC model in intelligent receivers can help to realize adaptive signal synchronization and demodulat...

Design Model of Cultural and Creative Products Using User Perception Demand Mining.

Computational intelligence and neuroscience
People are becoming more and more aware of the value of design throughout a product's entire life cycle as a result of the fierce competition for industrial products that exists today. The life of a product involves its design, manufacture, sale, and...

Sports Deep Learning Method Based on Cognitive Human Behavior Recognition.

Computational intelligence and neuroscience
An in-depth learning-based approach is designed to develop the ability to recognize human behavior on the move. We introduce 3D residual structures and create 3D residual models. In order to get the most out of the data relationship of several consec...

Integrated Prediction Framework for Clinical Scores of Cognitive Functions in ESRD Patients.

Computational intelligence and neuroscience
The clinical scores are applied to determine the stage of cognitive function in patients with end-stage renal disease (ESRD). However, accurate clinical scores are hard to come by. This paper proposed an integrated prediction framework with GPLWLSV t...

Psychological mechanism of language cognition to "awaken" artificial intelligence.

Psychological trauma : theory, research, practice and policy
OBJECTIVE: The study of artificial intelligence needs tracing back to the working mechanism of the human brain, and based on simulating brain cognition activity, information technology is the most widely influential technology.

Deep Cognitive Gate: Resembling Human Cognition for Saliency Detection.

IEEE transactions on pattern analysis and machine intelligence
Saliency detection by human refers to the ability to identify pertinent information using our perceptive and cognitive capabilities. While human perception is attracted by visual stimuli, our cognitive capability is derived from the inspiration of co...