Results 101 to 110 of about 18,476 (288)
Scientifica, 2016 The early diagnosis of breast cancer is an important step in a fight against the disease. Machine learning techniques have shown promise in improving our understanding of the disease.
Amir Ahmad
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Spectral Characterization of the Hamming Graphs [PDF]
We show that the Hamming graph H(3; q) with diameter three is uniquely determined by its spectrum for q ¸ 36. Moreover, we show that for given integer D ¸ 2, any graph cospectral with the Hamming graph H(D; q) is locally the disjoint union of D copies of
Koolen, J.H., Bang, S., Dam, E.R. van
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Hamming distance between blast queries and hits. [PDF]
, 2014 A violin plot of the Hamming distance between the full-length sequence of BLAST queries and hits at a 99% identity cut-off. Inside each violin the boxplot is also depicted.
Daniel Lundin (240214) +7 more
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Advanced Electronic Materials, EarlyView.ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li +4 more
wiley +1 more source
Distance-regular graphs of hamming type
Journal of Combinatorial Theory, Series B, 1990 An H(e,\(\lambda\),k)-graph is defined to be a distance-regular graph with the following intersection array \[ \left\{\begin{matrix} 0 & 1 & 2 &... & e-1 & e & *...* \\ 0 & \lambda & 2\lambda & ... & (e-1)\lambda & * & *...* & \\ k & * & * & ... & * & * & *...* \end{matrix}\right\} \] where * takes an arbitrary value under the restriction that each ...
openaire +2 more sources
Advanced Energy Materials, EarlyView.Silicon anodes in sulfide SSBs face coupled electrochemo‐mechanical failure by interface instability. This review examined recent advances and proposed mitigation strategies via material‐, electrode/interface‐, and cell‐level‐ engineering. We further evaluate scalable synthesis of sulfide SEs.
Murugesan Karuppaiah +4 more
wiley +1 more source
Computing Hamming Distance and Levenshtein Distance Using ReLU Neural Networks
IEEE AccessMeasuring the similarity or difference of two strings is a fundamental task in computer science and engineering. Among the various measures, Hamming distance and Levenshtein distance have been widely utilized.
Masahiro Ohtomo +2 more
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Advanced Intelligent Discovery, EarlyView.Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is proposed for 3D reconstruction of lung cancer tumours from 2D CT images. Our method consists of three phases: lung segmentation, tumour segmentation, and tumour 3D reconstruction. Lung
Lu Hong +12 more
wiley +1 more source
Fuzzy hamming distance in a content-based image retrieval system [PDF]
, 2004 — The performance of Content-Based Image Retrieval (CBIR) systems is mainly depending on the image similarity measure it use. The Fuzzy Hamming Distance ( À ) is an extension of Hamming Distance for real-valued vectors.
Mircea Ionescu
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