Results 91 to 100 of about 864 (198)
Sequential Polar Decoding with Cost Metric Threshold
Polar codes have established themselves as a cornerstone in modern error correction coding due to their capacity-achieving properties and practical implementation advantages. However, decoding polar codes remains a computationally intensive task. In this
Ilya Timokhin, Fedor Ivanov
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StackingNet: Collective Inference Across Independent AI Foundation Models
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li +4 more
wiley +1 more source
All-Integer Quantization for Low-Complexity Min-Sum Successive Cancellation Polar Decoder
It is widely acknowledged in communication theory that polar codes have been proven to achieve channel capacity across a range of communication channels.
Wittawad Pimsri +3 more
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Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo +5 more
wiley +1 more source
This paper proposes a modified polar coding-based selected mapping (PC-SLM) scheme to reduce the peak-to-average power ratio (PAPR) in orthogonal frequency-division multiplexing (OFDM) systems.
Chao Xing +2 more
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Multimodal Video Summarization Using Vision‐Language Embeddings and Hierarchical Temporal Modeling
Combining BLIP‐2 image captions with CLIP vision–language embeddings gives video frames semantic meaning that pixels alone cannot convey. Processed by a multi‐scale temporal U‐Net and hierarchical shot‐aware transformer, these multimodal features achieve a state‐of‐the‐art 59.27% F1‐score on SumMe using only 28.27M parameters.
Saadman Sakib, Kaushik Deb
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Abstract Background In pencil beam scanning (PBS) proton therapy, treatment plans are encoded as proton spot maps (PSMs). Although deep‐learning methods can rapidly predict three‐dimensional (3D) dose distributions from patient anatomy and planning intent, there is still no widely adopted direct, non‐iterative approach to convert doses into physically ...
Xueyan Tang +8 more
wiley +1 more source
SEM images of unmodified (U30) and TESPT‐grafted (U30‐SCA) silica compounds show that pre‐grafting eliminates agglomerates. Stress relaxation data fitted with a constrained five‐element Weichert model give discrete relaxation times (τ1$$ {\tau}_1 $$‐τ5$$ {\tau}_5 $$), both reduced by grafting. Their ratio, the Filler Network Index (FNI = τ1$$ {\tau}_1 $
Ali Akbar Sadeghi +2 more
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A Multi‐Scale Computational Framework for Anti‐Persister Tuberculosis Drug Discovery
This review presents an integrated QSAR–scaffold design–docking–MD framework for discovering anti‐persister tuberculosis agents active in dormant granuloma‐like conditions. By targeting Mtb bioenergetics and prioritising dual NDH‐2/cytochrome bd oxidase inhibition, the workflow advances rational design of candidates with higher resistance barriers ...
Said Moshawih +6 more
wiley +1 more source
Relaying with network coding forms a basis for a variety of collaborative communication systems. A linear block coding framework for multi-way relaying using network codes introduced in the literature shows great promise for understanding, analyzing, and
Ruilin Ji, Harry Leib
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