AIMC Topic: Communication

Clear Filters Showing 211 to 220 of 679 articles

Perception, performance, and detectability of conversational artificial intelligence across 32 university courses.

Scientific reports
The emergence of large language models has led to the development of powerful tools such as ChatGPT that can produce text indistinguishable from human-generated work. With the increasing accessibility of such technology, students across the globe may...

Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model.

Sensors (Basel, Switzerland)
Every one of us has a unique manner of communicating to explore the world, and such communication helps to interpret life. Sign language is the popular language of communication for hearing and speech-disabled people. When a sign language user intera...

Finite/fixed-time synchronization of inertial memristive neural networks by interval matrix method for secure communication.

Neural networks : the official journal of the International Neural Network Society
This paper investigates the finite/fixed-time synchronization problem of delayed inertial memristive neural networks (DIMNNs) using interval matrix-based methods within a unified control framework. By employing set-valued mapping and differential inc...

Deep Learning for Counting People from UWB Channel Impulse Response Signals.

Sensors (Basel, Switzerland)
The use of higher frequency bands compared to other wireless communication protocols enhances the capability of accurately determining locations from ultra-wideband (UWB) signals. It can also be used to estimate the number of people in a room based o...

Event-based fixed-time synchronization of neural networks under DoS attack and its applications.

Neural networks : the official journal of the International Neural Network Society
In this paper, the fixed-time synchronization control for neural networks with discontinuous data communication is investigated. Due to the transmission blocking caused by DoS attack, it is intractable to establish a monotonically decreasing Lyapunov...

Human-Robot Interaction in Agriculture: A Systematic Review.

Sensors (Basel, Switzerland)
In the pursuit of optimizing the efficiency, flexibility, and adaptability of agricultural practices, human-robot interaction (HRI) has emerged in agriculture. Enabled by the ongoing advancement in information and communication technologies, this app...

Application of ChatGPT in Routine Diagnostic Pathology: Promises, Pitfalls, and Potential Future Directions.

Advances in anatomic pathology
Large Language Models are forms of artificial intelligence that use deep learning algorithms to decipher large amounts of text and exhibit strong capabilities like question answering and translation. Recently, an influx of Large Language Models has e...

The communication path and improvement strategy of symbolic culture of sneaker consumption culture using the big data analysis.

PloS one
With the emergence of Artificial Intelligence technology and the advancement of science and technology, the current mainstream path of social development is continuously updating and improving various industries using technology. Therefore, in order ...

An Acoustical and Lexical Machine-Learning Pipeline to Identify .

Journal of palliative medicine
Developing scalable methods for conversation analytics is essential for health care communication science and quality improvement. To assess the feasibility of automating the identification of a conversational feature, which is associated with imp...