Suchergebnisse - decoding (algorithm OR (Algorithmsssssic OR algorithmsssssic))

Temperature‐Adaptive Thermal‐Photonic Metamaterials: Generalized Infrared Engineering via Anharmonic Phonon Self‐Energy Datasets and Dimensionality‐Augmented Neural Networks... von Yang Liu, Dongxu Liu, He Lin, Jingkai Huang, Jianming Liao, Liming Yuan, Wenbo Chen, Jinqiang Peng, Yanqin Wang, Xiaoliang Ma, Cheng Huang, Xiangang Luo

Inhaltsangabe: “… , introducing temperature as a novel design dimension. This framework decodes high‐dimensional temperature …”
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Heterogeneous Electronic Skin Integrated With a Neural Network for Simultaneous Sensing of Strain Direction and Intensity von Xuewei Shi, Alamusi Lee, Yaolu Liu, Chenxing Xiang, Huiming Ning, Haowen Liu, Hansheng Liao, Kexu An, Bo Yang, Kaiyan Huang, Bin Gu, Ning Hu

Inhaltsangabe: “… units with a backpropagation (BP) neural network algorithm. Each sensing unit features a heterogeneous …”
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Composite Mapping for Peptide‐Based Data Storage with Higher Coding Density and Fewer Synthesis Cycles von Anxun Zhang, Longjie Wang, Xiaowei Zhai, Yao Xiao, Yanchan Wu, Yongxi Zhao, Kai Liu, Ji‐Shen Zheng, Dong Chen

Inhaltsangabe: “… solid‐phase peptide synthesis, sequencing composite letter sequences by mass spectrometry, and decoding …”
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Highly Secure In Vivo DNA Data Storage Driven by Genomic Dynamics von Jiaxin Xu, Yu Wang, Haibo Zhou, Mingen Li, Yang Wang, Lingwei Wang, Hui Mei, Junbiao Dai, Shanze Chen, Xiaoluo Huang

Inhaltsangabe: “… and decoding data using in vivo DNA sequences. However, these methods may pose a security risk while opening a …”
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An Optimized Bio‐Inspired Ensemble Waveform Architecture for High‐Efficiency 6G Massive MIMO Communication von Haresh L. Judal, Avani Vithalani

Inhaltsangabe: “… search functionality of the Hyena optimization algorithm (HOA) to adjust beamforming vectors and allocate …”
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Fast bootstrap and reliable readout using hidden references for DNA data storage von Weigang Chen, Shuang Liu, Quan Guo, Rui Qin, Qi Ge, Tingting Qi, Yingjin Yuan

Inhaltsangabe: “… decoding. For indel‐prone platforms, we incorporate progressive read alignment using multiple‐fold hidden …”
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ABANet: Attention boundary‐aware network for image segmentation von Sadjad Rezvani, Mansoor Fateh, Hossein Khosravi

Inhaltsangabe: “… , we propose an encoder–decoder framework that utilizes a boundary‐aware attention network combined …”
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An enhanced visual state space model for myocardial pathology segmentation in multi‐sequence cardiac MRI von Shuning Li, Xiang Li, Pingping Wang, Kunmeng Liu, Benzheng Wei, Jinyu Cong

Inhaltsangabe: “… to address the image characteristics and algorithmic challenges faced in the myocardial pathology …”
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Entanglement Purification with Quantum LDPC Codes and Iterative Decoding von Rengaswamy, Narayanan, Raveendran, Nithin, Raina, Ankur, Vasić, Bane

Inhaltsangabe: “… network. We use the min-sum algorithm (MSA) based iterative decoder for distilling $3$-qubit GHZ states …”
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Cache-Aided Variable-Length Coding with Perfect Privacy von Zamani, Amirreza, Skoglund, Mikael

Inhaltsangabe: “… privacy constraint; ii. User $i$ is able to decode its demand, $Y_{d_i}$, by using its local cache $Z_i …”
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Pyramid Deep Fusion Network for Two-Hand Reconstruction from RGB-D Images von Ren, Jinwei, Zhu, Jianke

Inhaltsangabe: “… compared to previous fusion strategies. Furthermore, we employ a GCN-based decoder to process the fused …”
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CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration von Kang, Shuhao, Liao, Youqi, Li, Jianping, Liang, Fuxun, Li, Yuhao, Zou, Xianghong, Li, Fangning, Chen, Xieyuanli, Dong, Zhen, Yang, Bisheng

Inhaltsangabe: “… are processed through a two-stream encoder-decoder network for hierarchical feature extraction. Second, a coarse …”
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SAM-based instance segmentation models for the automation of structural damage detection von Ye, Zehao, Lovell, Lucy, Faramarzi, Asaad, Ninic, Jelena

Inhaltsangabe: “… then test several leading algorithms for benchmarking, including the latest large-scale model, the prompt …”
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Wound Tissue Segmentation in Diabetic Foot Ulcer Images Using Deep Learning: A Pilot Study von Dhar, Mrinal Kanti, Wang, Chuanbo, Patel, Yash, Zhang, Taiyu, Niezgoda, Jeffrey, Gopalakrishnan, Sandeep, Chen, Keke, Yu, Zeyun

Inhaltsangabe: “… to evaluate wound tissue segmentation algorithms. The dataset contains 110 images with tissues labeled …”
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FireFly-S: Exploiting Dual-Side Sparsity for Spiking Neural Networks Acceleration with Reconfigurable Spatial Architecture von Li, Tenglong, Li, Jindong, Shen, Guobin, Zhao, Dongcheng, Zhang, Qian, Zeng, Yi

Inhaltsangabe: “… on leveraging dual-side sparsity for acceleration. On the software side, we propose a algorithmic optimization …”
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DenoMamba: A fused state-space model for low-dose CT denoising von Öztürk, Şaban, Duran, Oğuz Can, Çukur, Tolga

Inhaltsangabe: “… relying on advanced denoising algorithms to maintain diagnostic quality in reconstructed images …”
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Harnessing Your DRAM and SSD for Sustainable and Accessible LLM Inference with Mixed-Precision and Multi-level Caching von Peng, Jie, Cao, Zhang, Qu, Huaizhi, Zhang, Zhengyu, Guo, Chang, Zhang, Yanyong, Cao, Zhichao, Chen, Tianlong

Inhaltsangabe: “… proposes a mixed-precision with a model modularization algorithm to enable LLM inference on outdated …”
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A Markov Chain Monte Carlo Method for Efficient Finite-Length LDPC Code Design von Tanrıkulu, Ata, Yıldırım, Mete, Hareedy, Ahmed

Inhaltsangabe: “… and decoding. In particular, spatially-coupled (SC) and multi-dimensional (MD) circulant-based codes are PB …”
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semi-PD: Towards Efficient LLM Serving via Phase-Wise Disaggregated Computation and Unified Storage von Hong, Ke, Chen, Lufang, Wang, Zhong, Li, Xiuhong, Mao, Qiuli, Ma, Jianping, Xiong, Chao, Wu, Guanyu, Han, Buhe, Dai, Guohao, Liang, Yun, Wang, Yu

Inhaltsangabe: “… where prefill phase and decode phase are co-located on the same GPU, sharing the unified computational …”
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Done Is Better than Perfect: Unlocking Efficient Reasoning by Structured Multi-Turn Decomposition von Zeng, Zihao, Huang, Xuyao, Li, Boxiu, Zhang, Hao, Deng, Zhijie

Inhaltsangabe: “… introduces Multi-Turn Decomposition (MinD) to decode conventional CoT into a sequence of explicit, structured …”
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