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يعرض 41 - 60 نتائج من 89 نتيجة بحث عن 'differences making algorithm', وقت الاستعلام: 0.05s تنقيح النتائج
  1. 41

    Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective حسب Zhitao Xu (2426023)

    منشور في 2024
    "…However, the existing insights are scattered over different sub-topics and most of the existing review papers have ignored the underground decision-making process using OR methods. …"
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    DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins حسب Samir Brahim, Belhaouari

    منشور في 2025
    "…This method offers precise endotoxin classification and holds significant potential for expedited medical diagnoses and therapeutic decision-making in cases of pathogenic infections. ConclusionWe present the effectiveness of DeepRaman, an innovative architecture inspired by the Progressive Fourier Transform and integrated with the scalogram transformation method, in classifying raw SERS Raman spectral data from biological specimens with unparalleled accuracy relative to conventional machine learning algorithms. …"
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    article
  4. 44

    A novel few shot learning derived architecture for long-term HbA1c prediction حسب Marwa Qaraqe (10135172)

    منشور في 2024
    "…For the first time in the literature, this work proposes a novel FSL-derived algorithm for the long-term prediction of clinical HbA1c measures. …"
  5. 45

    Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter حسب Syed Rahman (569240)

    منشور في 2019
    "…Since, PWAM control algorithm is more complex than PSCPWM, FPGA based implementation for PWAM control is discussed. …"
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    Scrambled Prime Key Encryption حسب Haraty, Ramzi A.

    منشور في 2018
    "…To enhance data security different cryptographic algorithms are used. Nevertheless, but the fast increase in computers' speed may threaten these algorithms. …"
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    conferenceObject
  8. 48

    A new fuzzy logic controller based IPM synchronous motor drive حسب Abido, M.A.

    منشور في 2003
    "…The proposed FLC is designed to have less computational burden, which makes it suitable for online implementation. The FLC parameters are optimized by genetic algorithm. …"
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    article
  9. 49

    Using machine learning to support students’ academic decisions حسب ALLAH, AISHA QASIM GHAZAL FATEH

    منشور في 2019
    "…This approach uses other students’ grades to make a prediction. This research tests and compares the performance of Decision Trees, Random Forests, Gradient-Boosted trees, and Deep Learning machine learning regression algorithms to predict student GPA. …"
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  10. 50

    A MIMO Sampling-Rate-Dependent Controller حسب Saab, Samer S.

    منشور في 2014
    "…Performance is compared to a PID controller with fuzzy gain scheduling, four multivariable PID controllers, an H ∞ optimal controller, and an iterative-learning-control algorithm.…"
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    article
  11. 51

    Applications of fast fourier transform in the integrity evaluation of deep foundations حسب Abi Shdid, Caesar

    منشور في 2016
    "…The widespread use of drilled shafts and the large and critical nature of loads they carry make post-construction quality control a rather important aspect of inspections. …"
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    article
  12. 52

    Recent advances on artificial intelligence and learning techniques in cognitive radio networks حسب Abbas, Nadine

    منشور في 2015
    "…The literature survey is organized based on different artificial intelligence techniques such as fuzzy logic, genetic algorithms, neural networks, game theory, reinforcement learning, support vector machine, case-based reasoning, entropy, Bayesian, Markov model, multi-agent systems, and artificial bee colony algorithm. …"
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    article
  13. 53

    Multi-Agent Learning of Strategies in Abstract Argumentation Mechanisms حسب Nemer, Rama

    منشور في 2009
    "…The results indicate that the agents use a multitude of different strategies to influence the judge and maximize their payoff , thereby revealing different combinations of arguments with different frequencies, depending on the Nash equilibria of the game, the dominance of the pure strategies and the Pareto e fficiency of the pure strategies in a game. …"
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  14. 54

    Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks حسب Islambouli, Rania

    منشور في 2019
    "…We formulate the problem as a mixed integer program, and propose an efficient meta-heuristic solution based on the ions motion optimization algorithm. The performance of the meta-heuristic solution is evaluated and compared to the optimal solution as a function of various system parameters and for different application use cases. …"
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    article
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    Privacy-Preserving Framework for Blockchain-Based Stock Exchange Platform حسب Hamed Al-Shaibani (19497412)

    منشور في 2022
    "…Furthermore, to assess the overhead of the proposed privacy algorithms on the trading execution time, we conduct several experiments considering different anonymity levels <i>k</i> . …"
  17. 57

    Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML حسب Dharmendra Kumar Singh Singh (19517710)

    منشور في 2022
    "…<p dir="ltr">The main aim in this paper is to create a friend suggestion algorithm that can be used to recommend new friends to a user on Twitter when their existing friends and other details are given. …"
  18. 58

    A multi-pretraining U-Net architecture for semantic segmentation حسب Cagla Copurkaya (22502042)

    منشور في 2025
    "…<p dir="ltr">Pathological cancer research relies heavily on different domain-specific applications including nucleus segmentation from histopathology images. …"
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    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

    منشور في 2019
    "…In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …"
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