Results 61 to 70 of about 58,503 (202)

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  

Deep image semantic communication model for 6G

Tongxin xuebao, 2023
Current semantic communication models still have some parts that can be improved in processing image data, including effective image semantic codec, efficient semantic model training, and accurate image semantic evaluation.Hence, a deep image semantic ...
Feibo JIANG, Yubo PENG, Li DONG
doaj  

The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

Advanced Intelligent Discovery, EarlyView.
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli   +6 more
wiley   +1 more source

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  

Improving Information Communication in Emerging 6G Scenarios: A Review of Semantic Communications for the Future Internet

Future Internet
The evolution of future Internet and sixth-generation (6G) networks is driving a paradigm shift from classical bit-centric communication toward meaning-aware and task-oriented communication models.
Evelio Astaiza Hoyos, Héctor Fabio Bermúdez-Orozco, Nasly Cristina Rodriguez-Idrobo   +2 more
doaj   +1 more source

Autonomous Machine Learning‐Based Classification and Arrangement of Submillimeter Objects Using a Capillary Force Gripper

Advanced Intelligent Discovery, EarlyView.
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando, Naoto Watanabe, Chihiro Sekine, Shogen Sekiguchi, Ohmi Fuchiwaki   +4 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

An Explainable Deep Semantic Coding for Binary-Classification- Oriented Communication

Applied Sciences
Semantic communication is emerging as a promising communication paradigm, where semantic coding plays an essential role by explicitly extracting task-critical information.
Shuhui Wang, Zuxing Li, Xin Huang, Qi Jiang   +3 more
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

Semantic communication aware reinforcement learning for communication fault-tolerant UAV collaborative control

网络与信息安全学报
Unmanned aerial vehicle (UAV) swarms have seen extensive deployment across a spectrum of military and civilian applications in recent years. The success of UAV missions is contingent upon robust communication and collaboration among the UAV, which has ...
Yang ZHANG, Hongyu GU, Bohao FENG, Ran WANG
doaj   +1 more source