AIMC Topic: Communication

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Multi-Sensor Context-Aware Based Chatbot Model: An Application of Humanoid Companion Robot.

Sensors (Basel, Switzerland)
In aspect of the natural language processing field, previous studies have generally analyzed sound signals and provided related responses. However, in various conversation scenarios, image information is still vital. Without the image information, mi...

A Hybrid Deep Learning-Driven SDN Enabled Mechanism for Secure Communication in Internet of Things (IoT).

Sensors (Basel, Switzerland)
The Internet of Things (IoT) has emerged as a new technological world connecting billions of devices. Despite providing several benefits, the heterogeneous nature and the extensive connectivity of the devices make it a target of different cyberattack...

Differences in information accessed in a pharmacologic knowledge base using a conversational agent vs traditional search methods.

International journal of medical informatics
INTRODUCTION: Clinicians rely on pharmacologic knowledge bases to answer medication questions and avoid potential adverse drug events. In late 2018, an artificial intelligence-based conversational agent, Watson Assistant (WA), was made available to o...

Machine Learning-Based 5G-and-Beyond Channel Estimation for MIMO-OFDM Communication Systems.

Sensors (Basel, Switzerland)
Channel estimation plays a critical role in the system performance of wireless networks. In addition, deep learning has demonstrated significant improvements in enhancing the communication reliability and reducing the computational complexity of 5G-a...

Conversation-Based Information Delivery Method for Facility Management.

Sensors (Basel, Switzerland)
Facility management platforms are widely used in the facility maintenance phase of the building life cycle. However, a large amount of complex building information affects facility managers' efficiency and user experience in retrieving specific infor...

[Potentials and challenges of social robots in relationships with older people: a rapid review of current debates].

Zeitschrift fur Gerontologie und Geriatrie
BACKGROUND: Social relationships are essential resources for psychological well-being and physical health. In old age, increased vulnerability and loss of functions are accompanied by diminishing social networks reinforcing a vicious circle. This dec...

Equivalent-input-disturbance estimator-based event-triggered control design for master-slave neural networks.

Neural networks : the official journal of the International Neural Network Society
This paper investigates the robust synchronization problem for a class of master-slave neural networks (MSNNs) subject to network-induced delays, unknown time-varying uncertainty, and exogenous disturbances. An equivalent-input-disturbance (EID) esti...

Neural adaptive fault-tolerant finite-time control for nonstrict feedback systems: An event-triggered mechanism.

Neural networks : the official journal of the International Neural Network Society
The problem of event-triggered neural adaptive fault-tolerant finite-time control is investigated for a class of nonstrict feedback nonlinear systems in the presence of nonaffine nonlinear faults. The event-triggered signal is designed by using a rel...

Design of an SVM Classifier Assisted Intelligent Receiver for Reliable Optical Camera Communication.

Sensors (Basel, Switzerland)
Embedding optical camera communication (OCC) commercially as a favorable complement of radio-frequency technology has led to the desire for an intelligent receiver system that is eligible to communicate with an accurate light-emitting diode (LED) tra...

Deep learning-based automated detection of pulmonary embolism on CT pulmonary angiograms: No significant effects on report communication times and patient turnaround in the emergency department nine months after technical implementation.

European journal of radiology
OBJECTIVES: Rapid communication of CT exams positive for pulmonary embolism (PE) is crucial for timely initiation of anticoagulation and patient outcome. It is unknown if deep learning automated detection of PE on CT Pulmonary Angiograms (CTPA) in co...