Search Results - decoding (algorithm OR (algorithmics OR (algorithmicsics OR algorithmssics)))

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

Table of Contents: “…, 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 by Xuewei Shi, Alamusi Lee, Yaolu Liu, Chenxing Xiang, Huiming Ning, Haowen Liu, Hansheng Liao, Kexu An, Bo Yang, Kaiyan Huang, Bin Gu, Ning Hu

Table of Contents: “… 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 by Anxun Zhang, Longjie Wang, Xiaowei Zhai, Yao Xiao, Yanchan Wu, Yongxi Zhao, Kai Liu, Ji‐Shen Zheng, Dong Chen

Table of Contents: “… 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 by Jiaxin Xu, Yu Wang, Haibo Zhou, Mingen Li, Yang Wang, Lingwei Wang, Hui Mei, Junbiao Dai, Shanze Chen, Xiaoluo Huang

Table of Contents: “… 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 by Haresh L. Judal, Avani Vithalani

Table of Contents: “… 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 by Weigang Chen, Shuang Liu, Quan Guo, Rui Qin, Qi Ge, Tingting Qi, Yingjin Yuan

Table of Contents: “… 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 by Sadjad Rezvani, Mansoor Fateh, Hossein Khosravi

Table of Contents: “…, we propose an encoder–decoder framework that utilizes a boundary‐aware attention network combined…”
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Entanglement Purification with Quantum LDPC Codes and Iterative Decoding by Rengaswamy, Narayanan, Raveendran, Nithin, Raina, Ankur, Vasić, Bane

Table of Contents: “… 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 by Zamani, Amirreza, Skoglund, Mikael

Table of Contents: “… 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 by Ren, Jinwei, Zhu, Jianke

Table of Contents: “… 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 by Kang, Shuhao, Liao, Youqi, Li, Jianping, Liang, Fuxun, Li, Yuhao, Zou, Xianghong, Li, Fangning, Chen, Xieyuanli, Dong, Zhen, Yang, Bisheng

Table of Contents: “… 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 by Ye, Zehao, Lovell, Lucy, Faramarzi, Asaad, Ninic, Jelena

Table of Contents: “… 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 by Dhar, Mrinal Kanti, Wang, Chuanbo, Patel, Yash, Zhang, Taiyu, Niezgoda, Jeffrey, Gopalakrishnan, Sandeep, Chen, Keke, Yu, Zeyun

Table of Contents: “… 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 by Li, Tenglong, Li, Jindong, Shen, Guobin, Zhao, Dongcheng, Zhang, Qian, Zeng, Yi

Table of Contents: “… 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 by Öztürk, Şaban, Duran, Oğuz Can, Çukur, Tolga

Table of Contents: “… 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 by Peng, Jie, Cao, Zhang, Qu, Huaizhi, Zhang, Zhengyu, Guo, Chang, Zhang, Yanyong, Cao, Zhichao, Chen, Tianlong

Table of Contents: “… 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 by Tanrıkulu, Ata, Yıldırım, Mete, Hareedy, Ahmed

Table of Contents: “… 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 by Hong, Ke, Chen, Lufang, Wang, Zhong, Li, Xiuhong, Mao, Qiuli, Ma, Jianping, Xiong, Chao, Wu, Guanyu, Han, Buhe, Dai, Guohao, Liang, Yun, Wang, Yu

Table of Contents: “… 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 by Zeng, Zihao, Huang, Xuyao, Li, Boxiu, Zhang, Hao, Deng, Zhijie

Table of Contents: “… introduces Multi-Turn Decomposition (MinD) to decode conventional CoT into a sequence of explicit, structured…”
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Spark Transformer: Reactivating Sparsity in FFN and Attention by You, Chong, Wu, Kan, Jia, Zhipeng, Chen, Lin, Bhojanapalli, Srinadh, Guo, Jiaxian, Evci, Utku, Wassenberg, Jan, Netrapalli, Praneeth, Willcock, Jeremiah J., Subramanian, Suvinay, Chern, Felix, Andreev, Alek, Pathak, Shreya, Yu, Felix, Jain, Prateek, Culler, David E., Levy, Henry M., Kumar, Sanjiv

Table of Contents: “… introduce statistical top-k, a hardware-accelerator-friendly, linear-time approximate algorithm that avoids…”
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