بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
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361
Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling
منشور في 2022"…<div><p>Outpatient Chemotherapy Appointment (OCA) planning and scheduling is a process of distributing appointments to available days and times to be handled by various resources through a multi-stage process. …"
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362
FoGMatch
منشور في 2019"…In this context, the notion of fog computing has been projected to furnish data analytics and decision-making closer to the IoT devices. …"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
363
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364
Iterative Methods for the Solution of a Steady State Biofilter Model
منشور في 2017احصل على النص الكامل
doctoralThesis -
365
A systematic review of recent advances in the application of machine learning in membrane-based gas separation technologies
منشور في 2024"…The fingerprinting and descriptors are two commonly approach for polymer featurization. In terms of algorithms, <u>neural networks</u> (NNs), random forest (RF), and gaussian process regression (GPR) are among the most extensively applied methods. …"
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366
Decision-level fusion for single-view gait recognition with various carrying and clothing conditions
منشور في 2017"…Such a system is needed in access control applications whereby a single view is imposed by the system setup. The gait data is firstly processed using three gait representation methods as the features sources; Accumulated Prediction Image (API) and two new gait representations namely; Accumulated Flow Image (AFI) and Edge-Masked Active Energy Image (EMAEI). …"
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article -
367
Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects
منشور في 2021"…This ongoing transition undergoes rapid changes, requiring a plethora of advanced methodologies to process the big data generated by various units. In this context, SG stands tied very closely to Deep Learning (DL) as an emerging technology for creating a more decentralized and intelligent energy paradigm while integrating high intelligence in supervisory and operational decision-making. …"
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368
Using artificial bee colony to optimize software quality estimation models. (c2015)
منشور في 2016"…We validate our technique on data describing maintainability and reliability of classes in an Object-Oriented system. …"
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احصل على النص الكامل
masterThesis -
369
From Collatz Conjecture to chaos and hash function
منشور في 2023"…The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …"
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370
A Framework for Predictive Modeling in Sustainable Projects
منشور في 2012احصل على النص الكامل
doctoralThesis -
371
Nonlinear Friction Identification of A Linear Voice Coil DC Motor
منشور في 2015احصل على النص الكامل
doctoralThesis -
372
Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments
منشور في 2025"…These processes begin with capturing speech in analog form and applying signal processing algorithms to ensure compatibility with devices like cochlear implants (CIs). …"
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373
Diagnostic performance of artificial intelligence in detecting and subtyping pediatric medulloblastoma from histopathological images: A systematic review
منشور في 2025"…Models analyzing images at the architectural level yielded higher accuracy (94.7 %), sensitivity (94.1 %), and specificity (98.2 %) compared to cellular-level analysis. …"
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374
Experimental evaluation of multi-agent reinforcement learning in real-world scale-free networks
منشور في 2010"…However, the study and analysis of the state-of-the-art multi-agent reinforcement learning (MARL) algorithms have been limited to small problems involving few number of learning agents.The purpose of this project is to conduct an extensive evaluation and comparison of MARL algorithms when used in networks that exhibit the scale-free property. …"
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375