بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
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Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts
منشور في 2022"…So far none addresses the use of Threat Intelligence (IT) data in Ensemble Learning algorithms to improve the detection process, nor does it work as a function of time, that is, taking into account what happens on the network in a limited time interval. …"
احصل على النص الكامل
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204
Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review
منشور في 2024"…It has been learned that image-processing techniques overwhelm the existing research and have the potential to integrate meteorological data. …"
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A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition
منشور في 2025"…The proposed method divides multiple regions (different data lengths) into the feature space, allowing the algorithm to learn more complex decision boundaries. …"
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207
Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment
منشور في 2022"…On the other hand, the transfer learning skills demonstrated in this study indicate that discovering suitable testing models from the ground is also achievable using our model with optimum prior cryptographic expertise, where we contribute the results of deep learning in the field of deep learning based differential cryptanalysis development.Various experiments were performed on discrete and continuous chaotic and non-chaotic permutation patterns, and the best-performing model had an MSE of 1.8217e−04 and an R2 of 1, demonstrating the practicality of the suggested technique.…"
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208
A Cyber-Physical System and Graph-Based Approach for Transportation Management in Smart Cities
منشور في 2021"…To efficiently process the incoming big data streams, the proposed architecture uses the Apache GraphX tool with several parallel processing nodes, along with Spark and Hadoop that ultimately provide better performance against various state-of-the-art solutions. …"
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Various Faults Classification of Industrial Application of Induction Motors Using Supervised Machine Learning: A Comprehensive Review
منشور في 2025"…In current literature, there are a number of papers that address all these faults using different methods, and this paper compiles the information from the written works for ease of access. Machine learning algorithms are a set of data-driven rules that are able to classify specific faults in induction motors, which will be explained further in this review paper. …"
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Weak-coupling, strong-coupling and large-order parametrization of the hypergeometric-Meijer approximants
منشور في 2020"…To test the validity of that constraint, we employed it to obtain the exact partition function of the zero-dimensional Ø<sup>4</sup> scalar field theory. The algorithm is also applied for the resummation of the ground state energies of Ø<sup>4</sup><sub>0+1</sub> and<sup>i</sup><sup>Ø</sup><sup>3</sup><sub>0+1</sub> scalar field theories. …"
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214
Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study
منشور في 2024"…</p><h3>Methods</h3><p dir="ltr">We conducted an analysis to identify research gaps in COVID-19 literature using the COVID-19 Open Research (CORD-19) data set, which comprises 1,121,433 papers related to the COVID-19 pandemic. …"
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Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization
منشور في 2023احصل على النص الكامل
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216
A multi-pretraining U-Net architecture for semantic segmentation
منشور في 2025"…For the validation of the proposed model, we used data from 21,000 cell nuclei at a resolution of 1000 by 1000 pixels. …"
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The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review
منشور في 2021"…We identified different machine learning models used in the selected studies, including classification models (18, 55%), regression models (5, 16%), model-based clustering methods (2, 6%), natural language processing (1, 3%), clustering algorithms (1, 3%), and deep learning–based models (3, 9%). …"
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219
Deep and transfer learning for building occupancy detection: A review and comparative analysis
منشور في 2022"…This work investigates occupancy detection methods to develop an efficient system for processing sensor data while providing accurate occupancy information. …"
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