Results 71 to 80 of about 58,776 (245)

Reconstruction-Resistant Image Transmission Using Semantic Communications

Applied Sciences
Semantic communication has emerged as a promising paradigm for next-generation wireless networks, offering substantial efficiency gains by prioritizing the transmission of task-relevant meaning over bit-level accuracy.
Thisarani Atulugama, Yasith Ganearachchi, Prabath Samarathunga, Udara Jayasinghe, Anil Fernando   +4 more
doaj   +1 more source

Consumer Acceptance of New Sustainable Food Technologies: Upcycling Technology, Biostimulants, and Artificial Intelligence

Agribusiness, EarlyView.
ABSTRACT Food systems have a significant impact on environmental sustainability, underscoring the need for innovative technologies to support more sustainable agricultural methods. However, the adoption of these technologies hinges on consumer acceptance, making the analysis of consumer perceptions essential.
Greta Castellini, Guendalina Graffigna
wiley   +1 more source

Robust Semantic Transmission: Joint Source Channel Coding for Cross-Domain Collaboration

Guangtongxin yanjiu
ObjectiveRealizing high quality and highly reliable information transmission is an important goal in the field of semantic communication. Deep Joint Source Channel Coding (DeepJSCC) has emerged as an effective method for semantic communication and has ...
YU Jike, SUN Xiaochuan, YANG Shuohan, LI Yingqi   +3 more
doaj  

DIKWP+BUG Architecture for Purpose-Aware Cognitive Computing

Big Data and Cognitive Computing
Purpose-aware AI systems are increasingly deployed in safety-critical, multi-agent, and human-facing environments, where they must transform heterogeneous data into timely, explainable, and goal-aligned decisions under uncertainty. Existing architectures
Zhendong Guo, Yucong Duan
doaj   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Transformer-Aided Semantic Communications

2024 58th Asilomar Conference on Signals, Systems, and Computers
The transformer structure employed in large language models (LLMs), as a specialized category of deep neural networks (DNNs) featuring attention mechanisms, stands out for their ability to identify and highlight the most relevant aspects of input data.
Matin Mortaheb, Erciyes Karakaya, Mohammad Ali Amir Khojastepour, Sennur Ulukus   +3 more
openaire   +2 more sources

Semantic communication accelerates the integration of network and information processing

Dianxin kexue
As a new communication paradigm, semantic communication can differentiately extract and transmit task-related semantic information to improve network efficiency.
SUN Yihao, JIANG Sheng, ZHOU Xu, LEI Bo, JIANG Lintao   +4 more
doaj  

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

Multi-Modal Semantic Communication

2025 59th Asilomar Conference on Signals, Systems, and Computers
Semantic communication aims to transmit information most relevant to a task rather than raw data, offering significant gains in communication efficiency for applications such as telepresence, augmented reality, and remote sensing. Recent transformer-based approaches have used self-attention maps to identify informative regions within images, but they ...
Matin Mortaheb, Erciyes Karakaya, Sennur Ulukus   +2 more
openaire   +2 more sources

A Survey on Key Technologies and Applications of Semantic Communication for Vehicular Networks

Vehicles
To address the stringent demands of intelligent connected vehicles for high bandwidth, low latency, and highly reliable communication, this paper systematically summarizes the semantic communication technology of the Internet of Vehicles (IoV) based on ...
Xiaoyu Zhong, Yong Liao
doaj   +1 more source