Risultati della ricerca - decoding (algorithm OR ((algorithmics OR Algorithmssics) OR (algorithmics OR Algorithmssics)))

Composite Mapping for Peptide‐Based Data Storage with Higher Coding Density and Fewer Synthesis Cycles di Anxun Zhang, Longjie Wang, Xiaowei Zhai, Yao Xiao, Yanchan Wu, Yongxi Zhao, Kai Liu, Ji‐Shen Zheng, Dong Chen

Sommario: “... 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 di Jiaxin Xu, Yu Wang, Haibo Zhou, Mingen Li, Yang Wang, Lingwei Wang, Hui Mei, Junbiao Dai, Shanze Chen, Xiaoluo Huang

Sommario: “... 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 di Haresh L. Judal, Avani Vithalani

Sommario: “... 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 di Weigang Chen, Shuang Liu, Quan Guo, Rui Qin, Qi Ge, Tingting Qi, Yingjin Yuan

Sommario: “... 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 di Sadjad Rezvani, Mansoor Fateh, Hossein Khosravi

Sommario: “..., we propose an encoder–decoder framework that utilizes a boundary‐aware attention network combined...”
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On the degrees of freedom of gridded control points in learning‐based medical image registration di Wen Yan, Qianye Yang, Yipei Wang, Shonit Punwani, Mark Emberton, Vasilis Stavrinides, Yipeng Hu, Dean Barratt

Sommario: “..., and dense voxel‐wise decoders can be unnecessarily high‐dimensional. A sparse control‐point parameterization...”
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The Canary in the Carry Chain: model checkpoints for the long Collatz step di Anonymous

Sommario: “... on an iterative algorithmic factored as $y = E(x, c(x))$ for a discrete controller $c(x)$ and an executor $E...”
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Entanglement Purification with Quantum LDPC Codes and Iterative Decoding di Rengaswamy, Narayanan, Raveendran, Nithin, Raina, Ankur, Vasić, Bane

Sommario: “... 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 di Zamani, Amirreza, Skoglund, Mikael

Sommario: “... 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 di Ren, Jinwei, Zhu, Jianke

Sommario: “... 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 di Kang, Shuhao, Liao, Youqi, Li, Jianping, Liang, Fuxun, Li, Yuhao, Zou, Xianghong, Li, Fangning, Chen, Xieyuanli, Dong, Zhen, Yang, Bisheng

Sommario: “... 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 di Ye, Zehao, Lovell, Lucy, Faramarzi, Asaad, Ninic, Jelena

Sommario: “... 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 di Dhar, Mrinal Kanti, Wang, Chuanbo, Patel, Yash, Zhang, Taiyu, Niezgoda, Jeffrey, Gopalakrishnan, Sandeep, Chen, Keke, Yu, Zeyun

Sommario: “... 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 di Li, Tenglong, Li, Jindong, Shen, Guobin, Zhao, Dongcheng, Zhang, Qian, Zeng, Yi

Sommario: “... 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 di Öztürk, Şaban, Duran, Oğuz Can, Çukur, Tolga

Sommario: “... 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 di Peng, Jie, Cao, Zhang, Qu, Huaizhi, Zhang, Zhengyu, Guo, Chang, Zhang, Yanyong, Cao, Zhichao, Chen, Tianlong

Sommario: “... 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 di Tanrıkulu, Ata, Yıldırım, Mete, Hareedy, Ahmed

Sommario: “... 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 di Hong, Ke, Chen, Lufang, Wang, Zhong, Li, Xiuhong, Mao, Qiuli, Ma, Jianping, Xiong, Chao, Wu, Guanyu, Han, Buhe, Dai, Guohao, Liang, Yun, Wang, Yu

Sommario: “... 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 di Zeng, Zihao, Huang, Xuyao, Li, Boxiu, Zhang, Hao, Deng, Zhijie

Sommario: “... 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 di 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

Sommario: “... introduce statistical top-k, a hardware-accelerator-friendly, linear-time approximate algorithm that avoids...”
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