Results 41 to 50 of about 34,156 (192)

Reinforcement-learned unequal error protection for quantized semantic embeddings

Array
This paper tackles the pressing challenge of preserving semantic meaning in communication systems constrained by limited bandwidth. We introduce a novel reinforcement learning framework that achieves per-dimension unequal error protection (UEP) via ...
Moirangthem Tiken Singh, Adnan Arif
doaj   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

Advanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu, Chengsheng Zhang, Yingyong Hou, Feng Tang, Weiqi Sheng, Dan Huang, Zhijian Song   +6 more
wiley   +1 more source

Survey on video image reconstruction method based on generative model

Tongxin xuebao, 2022
Traditional video compression technology based on pixel correlation has limited performance improvement space, semantic compression has become the new direction of video compression coding, and video image reconstruction is the key link of semantic ...
Yanwen WANG, Weimin LEI, Wei ZHANG, Huan MENG, Xinyi CHEN, Wenhui YE, Qingyang JING   +6 more
doaj   +2 more sources

Importance-Aware Resource Allocations for MIMO Semantic Communication

Entropy
This study proposes a separate source-channel coding (SSCC) framework to address semantic communication challenges in MIMO systems, overcoming the limitations of joint source-channel coding (JSCC) in channel adaptation and model reusability.
Yue Cao, Youlong Wu, Lixiang Lian, Meixia Tao   +3 more
doaj   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

Large-Language-Model-Enabled Text Semantic Communication Systems

Applied Sciences
Large language models (LLMs) have recently demonstrated state-of-the-art performance in various natural language processing (NLP) tasks, achieving near-human levels in multiple language understanding challenges and aligning closely with the core ...
Zhenyi Wang, Li Zou, Shengyun Wei, Kai Li, Feifan Liao, Haibo Mi, Rongxuan Lai   +6 more
doaj   +1 more source

A Wireless, Battery‐Free Artificial Throat Patch with Deep Learning for Emotional Speech Recognition

Advanced Science, EarlyView.
In this work, Xu and co‐workers develop a wireless, battery‐free artificial throat patch system (ATPS) consisting of a carbon nanotube‐based thin‐film strain sensor and a miniaturized flexible printed circuit board, to enable real‐time sensing of throat signals.
Bingxin Xu, Guanming Lin, Xiaohui Hong, Chuting Liu, Xinyi Qu, Kangjian Jiao, Lei Zhang, Bingzhe Xu, Jun Yan, Yancong Qiao, Xudong Lin   +10 more
wiley   +1 more source

Harnessing the Power of Pre-Trained Models for Efficient Semantic Communication of Text and Images

Entropy
This paper investigates point-to-point multimodal digital semantic communications in a task-oriented setup, where messages are classified at the receiver. We employ a pre-trained transformer model to extract semantic information and propose three methods
Emrecan Kutay, Aylin Yener
doaj   +1 more source

Conversion of Transplanted Mature Hepatocytes into Afp+ Reprogrammed Cells for Liver Regeneration After Injury

Advanced Science, EarlyView.
Donor‐derived tdTomato+ mature hepatocytes were FACS‐isolated and transplanted into Fah−/− host mice. During regeneration, these cells convert into proliferative, unipotent Afp+ rHeps. Their plasticity is governed by a PPARγ/AFP‐dependent metabolic switch, segregating into pro‐proliferative Afplow and pro‐survival Afphigh subpopulations.
Ting Fang, Chao Yang, Hua Qiu, Yuan Du, Xicheng Wang, Yuting Li, Mingyang Xu, Changcheng Liu, Xiuhua Li, Na Guo, Jun Shi, Wencheng Zhang, Zhiying He   +12 more
wiley   +1 more source