Results 51 to 60 of about 27,297,467 (168)
Stochastic Rounding and its Probabilistic Backward Error Analysis [PDF]
, 2020 Stochastic rounding rounds a real number to the next larger or smaller floating-point number with probabilities $1$ minus the relative distances to those numbers.
Connolly, Michael P. +4 more
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Novel Approximate Floating-Point Adder With Runtime Tunable Precision
IEEE AccessThis paper proposes a novel low-power approximate floating-point adder with runtime configurable precision. The design combines skipping addition, triggered when the exponent difference exceeds a programmable threshold, with tunable mantissa rounding to ...
Luca Tegazzini +6 more
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Dynamic Traffic Hazard Perception and Safety Impact Assessment Based on UAV LiDAR and Deep Learning
VehiclesManual road inspections lack sufficient 3D geometric hazard data because of limited coverage and sampling frequency. This paper develops a hazard-oriented safety assessment framework integrating UAV LiDAR reconstruction, PointNet++ point-cloud ...
Yijie Ren +4 more
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Theoretical and numerical study of profit in agricultural sector model using wavelet method
Results in Control and OptimizationAgriculture is crucial in India’s economy and society, supporting rural livelihood and national food security. India is one of the world’s largest agricultural producers, with diverse crops and farming practices.
Yeshwanth R., Kumbinarasaiah S.
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Energy-efficient analog-domain aggregator circuit for RRAM-based neural network accelerators
Frontiers in ElectronicsRecently, there has been notable progress in the advancement of RRAM-based Compute-In-Memory (CIM) architectures, showing promise in accelerating neural networks with remarkable energy efficiency and parallelism.
Khaled Humood +4 more
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Materials & DesignTo improve the applications of indium tin oxide (ITO) films, higher measurement requirements are implemented due to the significant effects of more complicated stress states and limitations of testing conditions on the mechanical properties. In this work,
Zhaoxin Wang +8 more
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A note on rounding-error analysis of Cholesky factorization
Linear Algebra and its Applications, 1987 The computed Cholesky factor \(L\) of a given symmetric positive definite \(n\times n\) matrix \(A\) fulfills \(LL^ T=A+E\). \textit{J. H. Wilkinson} [Tr. Mezhdunarod. Kongr. Mat., Moskva 1966, 629--640 (1968; Zbl 0197.13301)] has given a bound for \(\| E\|_ 2\). In this paper a sharper bound is given for \(\| E\|_ F\).
openaire +1 more source
Predicting laboratory solution kit accuracy using artificial intelligence: a data-driven approach
Bulletin of the National Research CentreThis study developed and validated an artificial intelligence (AI)-based computational tool for standardizing glucose and urea measurements across different clinical laboratory systems (Biolabo and BioScien) using Biomagreb as the reference standard ...
Abdulwahab AL-Deib +6 more
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Minimum mean square error linear predictor with rounding [PDF]
, 2012 [[abstract]]Many digital signal processing and image coding systems implement the linear predictor with rounding. Usually, people will obtain the linear predictors by solving the Yule-Walker equations or doing something equivalent.
Fu Yu Tsai;Hui Peng
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BMC Musculoskeletal DisordersObjective Unicompartmental knee arthroplasty (UKA) has shown significant clinical effectiveness in treating medial compartment knee degeneration, but postoperative periprosthetic fractures and persistent pain remain common and challenging complications ...
Deyan Ou +9 more
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