بدائل البحث:
lasso algorithm » carlo algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
level using » level fusion (توسيع البحث)
lasso algorithm » carlo algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
level using » level fusion (توسيع البحث)
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201
A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation
منشور في 2023"…Conventional methods, which are used to solve state estimation on the transmission level, require the grid to be observable. …"
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masterThesis -
202
Assessment of Inventory and Transportation Collaboration in a Logistics Marketplace
منشور في 2020احصل على النص الكامل
doctoralThesis -
203
AGEomics Biomarkers and Machine Learning—Realizing the Potential of Protein Glycation in Clinical Diagnostics
منشور في 2022"…AGEomics biomarkers have been used in diagnostic algorithms using machine learning methods. …"
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204
Exploring the System Dynamics of Covid-19 in Emergency Medical Services
منشور في 2022"…The predictive analysis yielded a model of response times for emergency missions through machine learning, specifically using a random forest algorithm. The value in building a predictive model of response time lies in identifying the most influential predictors of response times such as team utilization, case severity, COVID-19 patients, and roadway distance. …"
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masterThesis -
205
Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes
منشور في 2025"…Feature selection was done using a Random Forest algorithm to identify the top 20 features for the SAH severity prediction. …"
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206
Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review
منشور في 2025"…Once the studies that meet the inclusion criteria were identified, data from these studies were retrieved and were further examined. 17 parameters relevant to TAVI outcomes were carefully identified for assessing the quality of the included studies. …"
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207
CAD TOOL FOR THE AUTOMATIC-GENERATION OF MICROPROGRAMS
منشور في 2020"…Abstract A methodology for automatic synthesis of microprograms for digital systems modeled in the UAHPL register-transfer-level language is described. The algorithms used in the process of translation from UAHPL description to microprograms are also discussed. …"
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article -
208
Virtual topologies for massively parallel computations. (c2015)
منشور في 2015"…Massively parallel computations that are based on such algorithms often suffer from a large communication overhead due to the exponential growth in the number of tasks generated at each search-tree level. …"
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masterThesis -
209
The architecture of a highly reconfigurable RISC dataflow array processor
منشور في 2020"…The array can be programmed to execute arbitrary algorithms in both static and dynamic manner. The processor array is modelled at the behavioural level in VHDl. …"
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article -
210
Dynamic multiple node failure recovery in distributed storage systems
منشور في 2018"…Our daily lives are getting more and more dependent on data centers and distributed storage systems in general, whether at the business or at the personal level. With the advent of fog computing, personal mobile devices in a given geographical area may also comprise a very dynamic distributed storage system. …"
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article -
211
MoveSchedule
منشور في 1995"…The layout construction algorithm that underlies MoveSchedule uses Constraint Satisfaction to find the set of all positions that meet the constraints on resources' positions and Linear Programming to find the optimal positions that minimize resource transportation and relocation costs. …"
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masterThesis -
212
Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review
منشور في 2023"…</p><h3>Conclusion</h3><p dir="ltr">This study demonstrated the potential of AI as a valuable complement for planning TKA, exhibiting a satisfactory level of reliability in predicting TKA implant sizes. …"
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213
Software defect prediction. (c2019)
منشور في 2019"…One that focuses on predicting defect in software modules using a hybrid heuristic - a combination of Particle Swarm Optimization (PSO) and Genetic Algorithms (GA). …"
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masterThesis -
214
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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215
Modelling of pollutant transport in compound open channels
منشور في 1998"…Longitudinal and transverse mixing coefficients were calculated using the method of moments and by estimation using empirical relationships. …"
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masterThesis -
216
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks
منشور في 2022"…This paper introduces a new solution to detect energy consumption anomalies based on extracting micro-moment features using a rule-based model. The latter is used to draw out load characteristics using daily intent-driven moments of user consumption actions. …"
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217
Artificial intelligence models for predicting the mode of delivery in maternal care
منشور في 2025"…</p><h3>Objectives</h3><p dir="ltr">This study aims to evaluate and compare the predictive accuracy of AI algorithms in predicting the mode of delivery (vaginal or cesarean) using routinely collected antepartum data from electronic health records (EHRs). …"
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218
Cutting‐edge technologies for detecting and controlling fish diseases: Current status, outlook, and challenges
منشور في 2024"…Here, we highlighted the potential of machine learning algorithms in early pathogen detection and the possibilities of intelligent aquaculture in controlling disease outbreaks at the farm level. …"
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219
An intelligent EPROM silicon compiler
منشور في 1991"…A knowledge-based kernel determines the chip architecture and required circuit blocks and calls appropriate module generators for each block. Routing algorithms are then used to connect these blocks into a full chip…"
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article -
220