Search Results - binary square root algorithms

Computer Arithmetic Algorithms and Implementations by Li, Yamin, Tsinghua University Press

“… It then describes the binary addition and subtraction algorithms and their implementations in Verilog HDL. A carry…”
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A Bayesian binary algorithm for root mean squared-based acoustic signal segmentation by Hubert, Paulo, Killick, Rebecca, Chung, Alexandra, Padovese, Linilson R

“…; the segmentation is based on the change of the root-mean-square power of the signal. It investigates a Bayesian model with two possible parameterizations and proposes a binary algorithm in two versions using non-informative or informative priors…”
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Binary Tree-based Generic Demosaicking Algorithm for Multispectral Filter Arrays by Lidan Miao, Hairong Qi, Ramanath, R., Snyder, W.E.

“…) across a much wider spectral range. Second, most existing CFA demosaicking algorithms assume the fixed Bayer CFA and are confined to properties…”
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Low-Complexity Bit-Parallel Square Root Computation over GF(2^) for All Trinomials by Rodriguez-Henriquez, F., Morales-Luna, G., Lopez, J.

“…In this contribution, we introduce a low-complexity bit-parallel algorithm for computing square roots over binary extension fields…”
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Quantum fast Poisson solver: the algorithm and complete and modular circuit design by Wang, Shengbin, Wang, Zhimin, Li, Wendong, Fan, Lixin, Wei, Zhiqiang, Gu, Yongjian

“… Quantum algorithms for solving square root and reciprocal functions are proposed based on the classical…”
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High-level algorithms for correctly-rounded reciprocal square roots by Borges, Carlos F., Jeannerod, Claude-Pierre, Muller, Jean-Michel

“…} in binary floating-point arithmetic (assuming that efficient and correctly-rounded FMA and square root are available…”
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Limits of real numbers in the binary signed digit representation by Wiesnet, Franziskus, Köpp, Nils

“…We extract verified algorithms for exact real number computation from constructive proofs…”
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Descriptor selection evaluation of binary gravitational search algorithm in quantitative structure-activity relationship studies of benzyl phenyl ether diamidine's antiprotozoal activity and Chalcone's anticancer potency by Baghgoli, Tayebeh, Mousavi, Mehdi, Mohseni Bababdani, Behnam

“…In this work, the effect of various gravitational constant functions, G(t), were evaluated on the performance of the newly proposed binary gravitational search algorithm (BGSA…”
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Testing machine learning algorithms on a binary classification phenological model by Dai, Wujun, Jin, Huiying, Zhou, Lin, Liu, Tong, Zhang, Yuhong, Zhou, Zhiqiang, Fu, Yongshuo H., Jin, Guangze

“… Here, based on historical ground phenological observations, we construct an ML‐based binary classification phenological model that can be applied to temperate trees…”
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Computer principles and design in Verilog HDL by Li, Yamin, Press, Tsinghua University

“…Uses Verilog HDL to illustrate computer architecture and microprocessor design, allowing readers to readily simulate and adjust the operation of each design,…”
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A Unified Hardware Design for Multiplication, Division, and Square Roots Using Binary Logarithms by Ngo, Dat, Han, Siyeon, Kang, Bongsoon

“…Multiplication, division, and square root operations introduce significant challenges in digital signal processing (DSP…”
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Enhancing Time Series Forecasting With an Optimized Binary Gravitational Search Algorithm for Echo State Networks by Ahmad, Zohaib, Mahmood, Tariq, Alam, Teg, Rehman, Amjad, Saba, Tanzila

“…The echo state network (ESN) is a cutting-edge reservoir computing technique designed to handle time-dependent data, making it highly effective for addressing…”
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Design and Application of Mean and Square Root Circuits for Stochastic Computing by Wang, Shaowei, Shi, Kai, Xu, Yaohua, Wang, Yi, Zhang, Yongqiang

“… This representation enables simple logic gates to perform complex arithmetic operations. This brief proposes two low hardware-cost stochastic mean circuits for even and odd inputs, respectively, along with a high-accuracy stochastic square root circuit…”
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Application of Machine Learning in High-throughput Screening of Binary Alloys for the Hydrogenation of Benzene by Chang, Zhili, Li, Guangquan, Cai, Wenjun, Liu, Haolan, Zhang, Guangcheng, Ou, Weitao

“… ) and root mean square error (RMSE) of 0.813 and 0.415 eV for benzene, as well as 0.874 and 0.176 eV for hydrogen…”
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A comparison of gradient ascent, gradient descent and genetic-algorithm-based artificial neural networks for the binary classification problem by Pendharkar, Parag C.

“…: We compare log maximum likelihood gradient ascent, root‐mean‐square error minimizing gradient descent and genetic‐algorithm…”
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Application of novel binary optimized machine learning models for monthly streamflow prediction by Adnan, Rana Muhammad, Dai, Hong-Liang, Mostafa, Reham R., Islam, Abu Reza Md. Towfiqul, Kisi, Ozgur, Elbeltagi, Ahmed, Zounemat-Kermani, Mohammad

“…)-based models coupling with metaheuristic methods, e.g., Particle swarm optimization (PSO), Mayfly optimization algorithm…”
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Comparing Performance of Centerline Algorithms for Quantitative Assessment of Brain Vascular Anatomy by Diedrich, Karl T., Roberts, John A., Schmidt, Richard H., Parker, Dennis L.

“… The accuracy of the centerline algorithms were measured by the root mean square error from known centerlines of phantoms…”
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Optimizing Long Short-Term Memory Network for Air Pollution Prediction Using a Novel Binary Chimp Optimization Algorithm by Baniasadi, Sahba, Salehi, Reza, Soltani, Sepehr, Martín, Diego, Pourmand, Parmida, Ghafourian, Ehsan

“…Elevated levels of fine particulate matter (PM2.5) in the atmosphere present substantial risks to human health and welfare. The accurate assessment of PM2.5…”
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Constructions of binary cyclic codes with minimum weights exceeding the square-root lower bound: Constructions of binary cyclic codes by Liu, Hai, Gan, Chunyu, Li, Chengju, Shi, Xueying

“… Constructing binary cyclic codes with parameters [ n , n + 1 2 , d ≥ n ] is an interesting topic in coding theory, as their minimum distances have a square-root bound. Let n = 2 λ - 1 , where λ has three forms…”
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A comparison of Bayesian and frequentist methods in random‐effects network meta‐analysis of binary data by Seide, Svenja E., Jensen, Katrin, Kieser, Meinhard

“… In case of network meta‐analysis of binary data, however, simulations are not currently available for many practically relevant settings…”
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