بدائل البحث:
hiding algorithm » scheduling algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
deer algorithm » search algorithm (توسيع البحث)
derived using » delivery using (توسيع البحث)
element deer » elementi per (توسيع البحث)
data hiding » data mining (توسيع البحث)
hiding algorithm » scheduling algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
deer algorithm » search algorithm (توسيع البحث)
derived using » delivery using (توسيع البحث)
element deer » elementi per (توسيع البحث)
data hiding » data mining (توسيع البحث)
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Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
منشور في 2022"…Researchers have scrutinized data hiding schemes in recent years. Data hiding in standard images works well, but does not provide satisfactory results in distortion-sensitive medical, military, or forensic images. …"
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Efficient Approximate Conformance Checking Using Trie Data Structures
منشور في 2021"…In this paper, we contribute a new formulation of the proxy behavior derived from a model for approximate conformance checking. …"
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Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
منشور في 2024"…The proposed model was developed and implemented using MATLAB software. A Pareto front was derived from the MOGA by employing the T2FNN within the process, identifying fourteen optimal solutions.…"
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Optimization of Piezoelectric Sensor-Actuator for Plate Vibration Control Using Evolutionary Computation: Modeling, Simulation and Experimentation
منشور في 2021"…The analytical model is derived based on the Euler-Bernoulli model. The Optimal location of the collocated sensor-actuator, as well as PID controller gains, are determined using Ant Colony Optimization (ACO) technique, then compared with the Genetic Algorithm (GA) and enumerative method (EM). …"
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A variable weight mixed-norm adaptive algorithm
منشور في 2002"…The convergence analysis of the variable weight mixed-norm LMS-LMF adaptive algorithm is derived. A novel approach is used to study the convergence behavior of three algorithms: mixed-norm LMS- and LMF-based ones. …"
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Recent Advances of Chimp Optimization Algorithm: Variants and Applications
منشور في 2023"…Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. …"
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13
Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines
منشور في 2015احصل على النص الكامل
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A novel few shot learning derived architecture for long-term HbA1c prediction
منشور في 2024"…Despite the impact of such prediction capabilities, no work in the literature or industry has investigated the futuristic prediction of HbA1c using current blood glucose (BG) measurements. For the first time in the literature, this work proposes a novel FSL-derived algorithm for the long-term prediction of clinical HbA1c measures. …"
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Time-varying volatility model equipped with regime switching factor: valuation of option price written on energy futures
منشور في 2025"…This paper explores the calculation of European option prices on energy futures using a time-varying volatility model enhanced by a regime switching factor. …"
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Metaheuristic algorithm for testing web 2.0 applications. (c2012)
منشور في 2012احصل على النص الكامل
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Linear-time algorithms for problems on planar graphs with fixed disk dimension
منشور في 2007"…The disk dimension of a planar graph G is the least number k for which G embeds in the plane minus k open disks, with every vertex on the boundary of some disk. Useful properties of graphs with a given disk dimension are derived, leading to an algorithm to obtain an outerplanar subgraph of a graph with disk dimension k by removing at most 2k−2 vertices. …"
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An ant colony optimization algorithm to improve software quality prediction models
منشور في 2011"…Nonetheless, they can be derived from other measurable attributes. For this purpose, software quality prediction models have been extensively used. …"
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article