Multimodal Benchmark Functions with Rotation and Shift
Effect of Fast Shift Rotation and Slow Shift Rotation on the Nurses' Fatigue and Sleep Quality
... per shift), and worked different shifts including day shifts (7 hours), evening shifts (7 hours), and night-shifts (10 ...fast rotation were allocated to pre-group, and two-shift fast rotation ...
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The Shift-Work Accident Rate is More Related to the Shift Type than to Shift Rotation
... some shift-work settings but studies clearly defining the contribution of both the direction and speed of shift rotation to shift-work adjustment are lacking (Costa 2003; Knutsson 2004; ...
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The Shift-Work Accident Rate is More Related to the Shift Type than to Shift Rotation
... some shift-work settings but studies clearly defining the contribution of both the direction and speed of shift rotation to shift-work adjustment are lacking (Costa 2003; Knutsson 2004; ...
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In-hand manipulation in four-and five-year-old children: translation, rotation and shift movements
... When reviewing IHM developmental milestones or the age at which each aspect of IHM emerges and is mastered, it was found that IHM usually develops over a period of time ranging from 12 months to seven years of age. Rapid ...
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Multiple shift second order sequential best rotation algorithm for polynomial matrix EVD
... Besides the original SBR2 algorithm [1], a number of SMD versions have emerged, including the original SMD al- gorithm [8] and its improved versions, multiple shift max- imum element SMD (MSME-SMD) [9] and the ...
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On the Immunity of Rotation Symmetric Boolean Functions Against Fast Algebraic Attacks
... Boolean functions, fast algebraic attacks, algebraic immu- nity, rotation symmetric 1 Introduction Boolean functions are frequently used in the design of stream ciphers, block ciphers and hash ...
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A metaheuristic optimization algorithm for multimodal benchmark function in a GPU architecture
... Abstract It is well known that the numerical solution of evolutionary systems and problems based on topological design requires a high computational power. In the last years, many parallel algorithms have been developed ...
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From Pixels to Spikes: Efficient Multimodal Learning in the Presence of Domain Shift
... In this chapter, we focus on the recently proposed adversarial discriminative domain adaptation (ADDA) [91], which is related to generative adversarial learning and uses the GAN [89] objective to train on the target ...
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Local search algorithms based on benchmark test functions problem
... and multimodal standard benchmark ...standard benchmark functions that have been expansively employed in past works particularly those that attempted to test the general-purpose optimization ...
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An Experimental Study of Moth-Flame Algorithm using Benchmark Functions
... six benchmark functions which are unimodal,multimodal and composite ...test functions reveals that algothim’s accuracy and superiority of the approach over PSO, FPA, GA and ...
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Distortion Risk Measures or the Transformation of Unimodal Distributions into Multimodal Functions
... Table 3: Values of V aR, ES, Exponential spectral risk measure and Power spectral risk measure for different α. This table shows that the power spectral risk measure is not consistent with the concept of risk aversion. ...
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BASICS. Access blue functions with [Shift up] Access orange functions with [Shift down]
... • Enter the value you want to store, and press [Shift down] followed by [STO] • Enter a number key from 0 to 9, or [.] followed by 0 to 9 to store into a.. numbered register (20 regis[r] ...
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The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
... first benchmark used a discriminative probabilistic approach relying on a ran- dom forest classifier, boosting the popularity of this approach in the second ...
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The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
... E. Limitations of the BRATS Benchmark When designing the BRATS study, we made several choices that may have impacted the results and that could potentially have been improved. For example, we decided to homogenize ...
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Results on Rotation Symmetric Bent Functions
... such functions is also very interesting as they possess certain nice ...such functions gives rise to certain matrix with interesting combinatorial properties that helps in fast calculations of different ...
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COEFFICIENTS OF SYMMETRIC FUNCTIONS OF BOUNDED BOUNDARY ROTATION
... between functions with bounded boundary rotation and close-to-convex functions of some order is extended to m-fold symmetric ...close-to-convex functions to the sharp coefficient bounds for ...
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OPTIMIZATION OF BENCHMARK FUNCTIONS USING GENETIC ALGORITHM
... It is a population and nature-inspired algorithm which selects the chromosomes of better fitness from the current population using Roulette wheel and removed the worst one. Selected chromosomes are used to produce the ...
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A COMPARISON OF OPTIMIZATION ALGORITHMS FOR STANDARD BENCHMARK FUNCTIONS
... Abstract: Optimization algorithms are the search methods that are inspired from the natural biological evolution and social behavior of animals, insects, birds and humans, etc. The need of introducing the optimization ...
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What causes the dip in object recognition rotation functions?
... the rotation function occurring between 90˚ and 270˚ for objects with a vertical and horizontal arrangement of ...planar rotation on recognition depends on the spatial relations among an object’s ...
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Rotation symmetric Boolean functions---count and cryptographic properties
... some functions, which they called rotation symmetric (RotS) as components in the rounds of a hashing ...Boolean functions as its S-boxes even if it is provably secure against linear and differential ...
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