بدائل البحث:
network optimization » motor optimization (توسيع البحث), swarm optimization (توسيع البحث)
model optimization » level optimization (توسيع البحث), motor optimization (توسيع البحث), monkey optimizations (توسيع البحث)
imaged » image (توسيع البحث), images (توسيع البحث), maged (توسيع البحث)
network optimization » motor optimization (توسيع البحث), swarm optimization (توسيع البحث)
model optimization » level optimization (توسيع البحث), motor optimization (توسيع البحث), monkey optimizations (توسيع البحث)
imaged » image (توسيع البحث), images (توسيع البحث), maged (توسيع البحث)
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1
Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
منشور في 2024"…<p dir="ltr">Glaucoma is defined as progressive optic neuropathy that damages the structural appearance of the optic nerve head and is characterized by permanent blindness. 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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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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4
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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masterThesis -
5
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. …"