Risultati della ricerca - coding (algorithm OR Algorithmsssics)

Imaging reconstruction method on X-ray data of CMOS polarimeter combined with coded aperture di Tamba, Tsubasa, Odaka, Hirokazu, Watanabe, Taihei, Iwata, Toshiya, Kasuga, Tomoaki, Tanimoto, Atsushi, Takashima, Satoshi, Ichihashi, Masahiro, Suzuki, Hiromasa, Bamba, Aya

Sommario: “... employing a Si CMOS sensor and coded apertures, which function as a photoelectron tracker and imaging optics...”
Testo

A physically constrained Monte Carlo–Neural Network coupling algorithm for BNCT dose calculation di Yongquan Wang, Junliang Du, Huan Lin, Xingcai Guan, Lu Zhang, Jinyang Li, Long Gu

Sommario: “...A physically constrained Monte Carlo–Neural Network coupling algorithm for BNCT dose calculation...”
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Construction of extremal Type II $\mathbb{Z}_{8}$-codes via doubling method di Ban, Sara, Rukavina, Sanja

Sommario: “... Type II $\mathbb{Z}_{2k}$-code of length $n$. Based on this method, we develop an algorithm...”
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Neural network assisted electrostatic global gyrokinetic toroidal code using cylindrical coordinates di Alageshan, Jaya Kumar, Das, Joydeep, Singh, Tajinder, Sharma, Sarveshwar, Kuley, Animesh

Sommario: “...Gyrokinetic simulation codes are used to understand the microturbulence in the linear and nonlinear...”
Testo

KRIOS: A new basis-expansion $N$-body code for collisional stellar dynamics di Tep, Kerwann, Cook, Brian T., Rodriguez, Carl L., Jolly, Jiya, Sawin, Eddie, Petersen, Michael S., Gaffud, Christoph

Sommario: “...$ particles over many relaxation times. At the same time, the most common Monte Carlo $N$-body algorithm...”
Testo

Design and performance of the coded mask for the Lunar Electromagnetic Monitor in X-rays (LEM-X) di Evangelista, Yuri, Nuti, Alessio, Ceraudo, Francesco, Giancarli, Edoardo, Dilillo, Giuseppe, Campana, Riccardo, Della Casa, Giovanni, Del Monte, Ettore, Feroci, Marco, Fiorini, Mauro, Lombardi, Giovanni, Rapisarda, Massimo, Esposito, Francesca, Donnarumma, Immacolata, Turchi, Alessandro, Cortesi, Ugo, D'Amico, Fabio, Gai, Marco, Argan, Andrea

Sommario: “... describe the mask code generation, decoding algorithms, and the trade-offs involved in achieving...”
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Data-driven decoding of quantum error correcting codes using graph neural networks di Lange, Moritz, Havström, Pontus, Srivastava, Basudha, Bengtsson, Isak, Bergentall, Valdemar, Hammar, Karl, Heuts, Olivia, van Nieuwenburg, Evert, Granath, Mats

Sommario: “...To leverage the full potential of quantum error-correcting stabilizer codes it is crucial to have...”
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Spatial super-resolution in coded aperture-based optical compressive hyperspectral imaging systems di Hoover Fabian Rueda Chacón

Sommario: “...Spatial super-resolution in coded aperture-based optical compressive hyperspectral imaging systems...”
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High-dynamic range compressive spectral imaging by grayscale coded aperture adaptive filtering di N. Diaz

Sommario: “... (FPA) coded projection measurements. A reconstruction algorithm takes advantage of the compressive...”
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SPLAT: A framework for optimised GPU code-generation for SParse reguLar ATtention di Gupta, Ahan, Yuan, Yueming, Jain, Devansh, Ge, Yuhao, Aponte, David, Zhou, Yanqi, Mendis, Charith

Sommario: “... and code generation algorithm is the observation that common sparse-MHSA patterns have uniquely regular...”
Testo

AHKASH: a new Hybrid particle-in-cell code for simulations of astrophysical collisionless plasma di Chirakkara, Radhika Achikanath, Federrath, Christoph, Seta, Amit

Sommario: “... with the $\texttt{flASH}$ code ($\texttt{AHKASH}$) -- a new Hybrid particle-in-cell (PIC) code developed within...”
Testo

Efficient fault-tolerant code switching via one-way transversal CNOT gates di Heußen, Sascha, Hilder, Janine

Sommario: “... operations by combining two QEC codes with complementary sets of gates, which each by themselves are easy...”
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Reduction of motion artifacts from photoplethysmography signals using learned convolutional sparse coding di Basso, Giulio, Long, Xi, Haakma, Reinder, Vullings, Rik

Sommario: “.... We leverage algorithm unfolding to integrate prior knowledge about the PPG structure into a deep...”
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Test of a two-level algorithm for the glueball spectrum in $SU(N_c)$ Yang-Mills theory di Falzetti, Andrea, Papinutto, Mauro, Scardino, Francesco

Sommario: “...We present preliminary results obtained using a new code for $SU (N_c)$ Yang-Mills theory which...”
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Replicating Current Procedural Terminology code assignment of rhinology operative notes using machine learning di Christopher P. Cheng, Ryan Sicard, Dragan Vujovic, Vikram Vasan, Chris Choi, David K. Lerner, Alfred‐Marc Iloreta

Sommario: “... Bayes (NB) algorithms were used to train and test models on operative notes. Model‐classified CPT codes...”
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Efficient set-theoretic algorithms for computing high-order Forman-Ricci curvature on abstract simplicial complexes di de Souza, Danillo Barros, da Cunha, Jonatas T. S., Santos, Fernando A. N., Jost, Jürgen, Rodrigues, Serafim

Sommario: “... the computation of FRC. Finally, We provide a pseudo-code, a software implementation coined FastForman, as well...”
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Permafrost characterization along the Hudson Bay Railway using electrical resistivity tomography: Data and processing algorithm di Herring, Teddi, Ozeritskiy, Konstantin, L'Hérault, Emmanuel, Hayley, Jocelyn L., Roy-Léveillée, Pascale

Sommario: “...<p>Supporting code for "Delineating permafrost bodies along the Hudson Bay Railway using...”
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InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentation di Goldsborough, Thibaut, Philps, Ben, O'Callaghan, Alan, Inglis, Fiona, Leplat, Leo, Filby, Andrew, Bilen, Hakan, Bankhead, Peter

Sommario: “... progress in recent years, biologists and other domain experts still require novel algorithms to handle...”
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Quasi-linear time decoding of RS and AG codes for burst errors up to the Singleton bound di Li, Songsong, Liu, Shu, Ma, Liming, Wan, Yunqi, Xing, Chaoping

Sommario: “... the interleaved RS codes with burst errors, we derive efficient decoding algorithms for RS and AG codes...”
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PGA: A new particle swarm optimization algorithm based on genetic operators for the global optimization of clusters di Kai Wang

Sommario: “...PGA: A new particle swarm optimization algorithm based on genetic operators for the global...”
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