Efficient Approximate Conformance Checking Using Trie Data Structures حسب Awad, Ahmed

"…By encoding the proxy behavior using a trie data structure, we obtain a logarithmically reduced search space for alignment computation compared to a set-based representation. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm حسب Abu Zitar, Raed

"…Moreover, the image pixels in different and more similar areas of the image are located next to one another in a group and classified using the specified thresholds. As a result, the embedding capacity in each class can increase by reducing the value of the difference between two consecutive pixels, and the distortion of the marked image can decrease after inserting the personal data using the DE method. …"
احصل على النص الكامل

Joint Inversion of Direct Current Resistivity and Seismic Refraction Data, using Local and Global Optimization Algorithms with Synthetic and Real Data Examples حسب unknown

احصل على النص الكامل
احصل على النص الكامل

An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure حسب Fahmy, Ahmed

احصل على النص الكامل

Loop based scheduling for high level synthesis حسب Al-Sukhni, H.F.

"…This paper describes a new loop based scheduling algorithm. The algorithm aims at reducing the runtime processing complexity of path based scheduling techniques. …"
احصل على النص الكامل
احصل على النص الكامل

Using Machine Learning Algorithms to Forecast Solar Energy Power Output حسب Ali Jassim Lari (22597940)

"…We focused on the first 30-min, 3-h, 6-h, 12-h, and 24-h windows to gain an appreciation of the impact of forecasting duration on the accuracy of prediction using the selected machine learning algorithms. The study results show that Random Forest outperformed all other tested algorithms. …"

A new tabu search algorithm for the long-term hydro scheduling problem حسب Mantawy, A.H.

"…A new efficient algorithm to solve the long-term hydro scheduling problem (LTHSP) is presented in this paper. …"
احصل على النص الكامل
احصل على النص الكامل

Evolutionary Game-Based Battery Scheduling: A Comparative Study for Prosumers in Smart Grids حسب Anas Karaki (17947808)

"…The primary objective is to develop an efficient, reliable, private, and scalable algorithm for battery scheduling that ensures economic efficiency and system stability, even under dynamic market conditions. …"

Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms حسب Usman Ali (6586886)

"…This was accomplished by (1) extracting reliable LULC information from Sentinel-2 and Landsat-8 s images, (2) generating remote sensing indices used to train ML algorithms, and (3) comparing the results with ground truth data. …"

A genetic algorithm for testable data path synthesis حسب Harmanani, H.

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

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

"…This paper presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

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. …"

Data reductions and combinatorial bounds for improved approximation algorithms حسب Abu-Khzam, Faisal N.

"…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Distributed dimension reduction algorithms for widely dispersed data حسب Abu-Khzam, F.N.

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A comparative study of replacement algorithms used in the scalable asynchronous cache consistency scheme حسب Haraty, Ramzi A.

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Power-constrained system-on-a-chip test scheduling using a genetic algorithm حسب Harmanani, Haidar M.

"…This paper presents an efficient approach for the test scheduling problem of core-based systems based on a genetic algorithm. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A Simulated Annealing Algorithm for System-on-Chip Test Scheduling with, Power and Precedence Constraints حسب Harmanani, Haidar M.

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

GIJA:Enhanced geyser‐inspired Jaya algorithm for task scheduling optimization in cloud computing حسب Abualigah, Laith

"…The motivation for this research stems from the increasing demand for efficient resource utilization and task management in cloud computing, driven by the proliferation of Internet of Things (IoT) devices and the growing reliance on cloud‐based services. Traditional task scheduling algorithms often face challenges in handling dynamic workloads, heterogeneous resources, and varying performance objectives, necessitating innovative optimization techniques. …"
احصل على النص الكامل

Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm حسب Odat, Alhaj-Saleh A.

"…Additionally, these data can be readily applied to compare algorithmic results referenced by (Babu, T.S. et al., 2015; PrasanthRam, J. et al., 2017) [2,3], and contribute to the development of new processes for practical applications.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

"…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …"