Results 91 to 100 of about 8,630,362 (232)

A novel image semantic communication method via dynamic decision generation network and generative adversarial network

Scientific Reports
Effectively compressing transmitted images and reducing the distortion of reconstructed images are challenges in image semantic communication. This paper proposes a novel image semantic communication model that integrates a dynamic decision generation ...
Shugang Liu, Zhan Peng, Qiangguo Yu, Linan Duan   +3 more
doaj   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

Multimodal Semantic Communication for 6G and Beyond: AI-Driven Architectures, Trends, and Challenges

IEEE Open Journal of the Communications Society
Since the inception of Shannon’s information theory in 1948, digital communication systems have primarily focused on reliable bit-level transmission under channel constraints.
Rowshan Mannan Oni, Fairuz Khan, Khalid Hasan Ador, Shahriar Hasan, Khan Mohammad Habibullah   +4 more
doaj   +1 more source

Overcoming Artificial Structures in Resolution‐Enhanced Hi‐C Data by Signal Decomposition and Multi‐Scale Attention

Advanced Science, EarlyView.
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li, Kelly Yichen Li, Chiara Nicoletti, Stephen Kwok‐Wing Tsui, Pier Lorenzo Puri, Qin Cao, Kevin Y. Yip   +6 more
wiley   +1 more source

Lightweight and Adaptive Deep Coding for Wireless Image Transmission in Semantic Communication

IEEE Access
Currently, deep learning-based joint source channel coding (JSCC) methods have achieved significant progress in enabling semantic communication. However, existing methods of this type often fall short of meeting the new demands in terms of model ...
Youming Sun, Jiafeng Wang, Lile Wei, Haiqiang Chen, Shuping Dang, Xiangcheng Li   +5 more
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

DeepJSCC-based latent space power control for robust and efficient 3D point cloud transmission

ETRI Journal
Transmitting 3D point cloud data through wireless networks is challenging, as it entails balancing the demand for precise reconstruction with energy efficiency and consistent performance under changing channel conditions.
Huda Adam Sirag Mekki , Hui Yuan , Mohanad M. G. Hassan , Zejia Chen   +3 more
doaj   +1 more source

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

Jointly optimised iterative source-coding, channel-coding and modulation for transmission over wireless channels

, 2004
Joint source-coding, channel-coding and modulation schemes based on Variable Length Codes (VLCs), Trellis Coded Modulation (TCM), Turbo TCM (TTCM), Bit-Interleaved Coded Modulation (BICM) and iteratively decoded BICM (BICM-ID) schemes are proposed.
Yang, L.-L., Ng, S.X., Wang, J., Hanzo, L., Guo, F.   +4 more
core   +1 more source

An Efficient Biological Codon Recognition Reservoir Computing System Based on Low‐Energy Epitaxial Hf0.52Zr0.48O2 Ferroelectric Memristors

Advanced Science, EarlyView.
This work reports on epitaxially grown Hf0.52Zr0.48O2 ferroelectric memristors with high stability (high durability exceeding 108 cycles and a retention time exceeding 104 s for 16 states) and ultra‐low operating energy consumption (∼121 fJ). A memristor array‐based reservoir computing system is constructed and applied for the first time in the field ...
Ying Liu, Jikang Xu, Yongqing Jia, Wenxuan Wang, Weifeng Zhang, Biao Yang, Xiaobing Yan   +6 more
wiley   +1 more source