بدائل البحث:
improve optimization » motor optimization (توسيع البحث), storage optimization (توسيع البحث)
wolf optimization » whale optimization (توسيع البحث), policy optimization (توسيع البحث), swarm optimization (توسيع البحث)
based improve » based improved (توسيع البحث), based mpro (توسيع البحث)
improve optimization » motor optimization (توسيع البحث), storage optimization (توسيع البحث)
wolf optimization » whale optimization (توسيع البحث), policy optimization (توسيع البحث), swarm optimization (توسيع البحث)
based improve » based improved (توسيع البحث), based mpro (توسيع البحث)
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1
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
منشور في 2022"…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"
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2
Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches
منشور في 2020"…It is important to choose the right cleaning strategy (method and frequency) to maximize the electricity production and economic performance of the PV facility. An optimization algorithm was developed and tested for multiple PV panel configurations based in Dubai Water and Electricity Authority’s (DEWA) outdoor test facil ity (OTF) solar lab. …"
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احصل على النص الكامل
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3
Tabu search based circuit optimization
منشور في 1998احصل على النص الكامل
احصل على النص الكامل
article -
4
Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
منشور في 2024"…For mass fundus image-based glaucoma classification, an improved automated computer-aided diagnosis (CAD) model performing binary classification (glaucoma or healthy), allowing ophthalmologists to detect glaucoma disease correctly in less computational time. …"
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5
Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery
منشور في 2018احصل على النص الكامل
doctoralThesis -
6
Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting
منشور في 2011احصل على النص الكامل
doctoralThesis -
7
A new tabu search algorithm for the long-term hydro scheduling problem
منشور في 2002"…The algorithm is based on using the short-term memory of the tabu search (TS) approach to solve the nonlinear optimization problem in continuous variables of the LTHSP. …"
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article -
8
Optimisation of PV Cleaning Practices: Comparison Between Performance Based and Periodic Based Approaches
منشور في 2018"…Optimized periodic based manual cleaning with between 5.78% to 28.39% improvement. 4. …"
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9
Resource Optimization for 3D Video SoftCast with Joint Texture/Depth Power Allocation
منشور في 2022"…Then, a minimum distortion optimization algorithm iteratively computes all the possible resource allocations to find the optimal allocation based on the minimum distortion. …"
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10
A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns
منشور في 2023"…The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …"
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11
3D deployment of UAVs in wireless networks for traffic offloading and edge computing. (c2019)
منشور في 2019"…To optimally deploy UAVs as mounted cloudlets, we formulate our problem as mixed integer program and then use an e cient meta-heuristic algorithm to generate optimized results for large scale IoT networks. …"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
12
LDSVM: Leukemia Cancer Classification Using Machine Learning
منشور في 2022"…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …"
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13
Deep and transfer learning for building occupancy detection: A review and comparative analysis
منشور في 2022"…Moreover, the paper conducted a comparative study of the readily available algorithms for occupancy detection to determine the optimal method in regards to training time and testing accuracy. …"