Results 41 to 50 of about 1,678,536 (296)
This paper studies the hybrid flow shop scheduling problem with blocking constraints (BHFSP). To better understand the BHFSP, we will construct its mixed integer linear programming (MILP) model and use the Gurobi solver to demonstrate its correctness ...
Yong Wang, Yuting Wang, Yuyan Han
doaj +1 more source
Dynamic phase transition for decoding algorithms [PDF]
40 pages, 29 eps ...
Franz, S. +3 more
openaire +4 more sources
Non-Binary Low-Density Parity-Check (LDPC) codes have gained significant attention due to their remarkable error correction capabilities in various communication systems.
Waheed Ullah +3 more
doaj +1 more source
Low Complexity Approach for High Throughput Belief-Propagation based Decoding of LDPC Codes
The paper proposes a low complexity belief propagation (BP) based decoding algorithm for LDPC codes. In spite of the iterative nature of the decoding process, the proposed algorithm provides both reduced complexity and increased BER performances as ...
BOT, A. +3 more
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This paper proposes the distributed Reed–Solomon (RS)-coded spatial modulation (DRSC-SM) scheme over quasi-static Rayleigh fading channel. Two different RS codes are used, one having a smaller minimum distance at the source and the other having a larger ...
Chunli Zhao +3 more
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Hypernetwork Based Model-Driven Channel Neural Decoding
Channel decoding algorithms based on model-driven deep learning, also known as channel neural decoding algorithms, have received a lot of attention in recent years.
Yuanhui Liang +4 more
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MITF maintains genome stability in nonmelanocyte lineages
MITF is essential for melanocyte survival and acts as an oncogene in 10%–20% of melanomas. We show that MITF depletion causes genome instability in nonmelanocytic cells, leading to LATS2‐mediated P53 activation, cell cycle arrest, and apoptosis. This study highlights the role of MITF as a genome maintenance factor beyond the melanocyte lineage. Created
Drifa H. Gudmundsdottir +13 more
wiley +1 more source
Low Complexity Golden Code Analytical and Deep Learning-Based Sphere-Decoders for High-Density M-QAM
In this paper, we develop low complexity Golden code sphere-decoding (SD) algorithms for high-density M-ary quadrature amplitude modulation (M-QAM). We define the high-density M-QAM as having modulation orders ( $M$ ) of at least 64, i.e.
Bhekisizwe Mthethwa, Hongjun Xu
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Using Hamming Network to Decoding Binary Cyclic Code [PDF]
This work, efforts are concentrated on solving the problem of decoding binary cyclic code, using hamming neural network. Therefore, this work shows the ability of hamming network in solving one of the important problems in coding theory.
Hind Abd Al-Razzaq
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Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source

