Evolutionary algorithms for VLSI multi-objective netlist partitioning حسب Sait, Sadiq M.

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Ensemble Deep Random Vector Functional Link Neural Network for Regression حسب Minghui Hu (2457952)

"…<p dir="ltr">Inspired by the ensemble strategy of machine learning, deep random vector functional link (dRVFL), and ensemble dRVFL (edRVFL) has shown state-of-the-art results on different datasets. …"

Evolutionary algorithm for predicting all-atom protein structure حسب Mansour, Nashat

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A neural networks algorithm for data path synthesis حسب Harmanani, Haidar M.

"…The method formulates the allocation problem using the clique partitioning problem, an NP-complete problem, and handles multicycle functional units as well as structural pipelining. The algorithm has a running time complexity of O(1) for a circuit with n operations and c shared resources. …"
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A Comparative Study of Elgamal Based Cryptographic Algorithms حسب Haraty, Ramzi A.

"…In this work we implement the classical and modified ElGamal cryptosystem to compare and to test their functionality, reliability and security. To test the security of the algorithms we use a famous attack algorithm called Baby-Step-Giant algorithm which works in the domain of natural integers. …"
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Exploring the Dynamic Interplay of Deleterious Variants on the RAF1–RAP1A Binding in Cancer: Conformational Analysis, Binding Free Energy, and Essential Dynamics حسب Abbas Khan (5141000)

"…Hence, the current study focuses on the screening of clinically reported substitutions in the <i>RAF1</i> and <i>RAP1A</i> genes using predictive algorithms integrated with all‐atoms simulation, essential dynamics, and binding free energy methods. …"

Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems حسب Abdel Magid, Y.L.

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A genetic-based algorithm for fuzzy unit commitment model حسب Mantawy, A.H.

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Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning حسب Sait, Sadiq M.

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Time-varying volatility model equipped with regime switching factor: valuation of option price written on energy futures حسب Leduc, Guillaume

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New fault models and efficient BIST algorithms for dual-portmemories حسب Amin, A.A.

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Economic load dispatch using memetic sine cosine algorithm حسب Abu Zitar, Raed

"…The proposed hybrid algorithm is abbreviated as SCA-βHC which is evaluated using two sets of real-world generation cases: (i) 3-units, two versions of 13-units, and 40-units, with neglected Ramp Rate Limits and Prohibited Operating Zones constraints. …"
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A comparative study of RSA based digital signature algorithms حسب Haraty, Ramzi A.

"…We implement the classical and modified RSA cryptosystem to compare and to test their functionality, reliability and security. To test the security of the algorithms we implement attack algorithms to solve the factorization problem in Z, Z[<i>i</i>] and F[<i>x</i>]. …"
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Mobile robots obstacles avoidance using dynamic window approach حسب Abubakr, Omer Ali

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Evolutionary algorithms, simulated annealing and tabu search: a comparative study حسب Youssef, H.

"…The three heuristics are applied on the same optimization problem and compared with respect to (1) quality of the best solution identified by each heuristic, (2) progress of the search frominitial solution(s) until stopping criteria are met, (3) the progress of the cost of the best solution as a function of time (iteration count), and (4) the number of solutions found at successive intervals of the cost function. …"
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On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network حسب Nasru Minallah (9427338)

Metaheuristic algorithm for testing web 2.0 applications. (c2012) حسب Zeitunlian, Hratch Michel

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A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems حسب Bilal Khurshid (16715865)

"…<p dir="ltr">This study investigates the no-wait flow shop scheduling problem and proposes a hybrid (HES-IG) algorithm that utilizes makespan as the objective function. …"

Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm حسب Zerguine, A.

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Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities حسب Moinuddin, M.

"…Tracking analysis of the normalized least mean square (NLMS) algorithm is carried out in the presence of two sources of nonstationarities: 1) carrier frequency offset between transmitter and receiver; 2) random variations in the environment. …"
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