يعرض 101 - 120 نتائج من 297 نتيجة بحث عن '(((( element update algorithm ) OR ( processing model algorithm ))) OR ( neural coding algorithm ))', وقت الاستعلام: 0.14s تنقيح النتائج
  1. 101

    Assessment of four dose calculation algorithms using IAEA-TECDOC-1583 with medium dependency correction factor (K<sub>med</sub>) application حسب Aram Rostami (22045274)

    منشور في 2024
    "…</p><h3>Methods</h3><p dir="ltr">BEAMnrc codes simulate radiation sources and model radiation transport for 6 MV and 15 MV photon beams. …"
  2. 102

    Internal Model Control Structure Using Adaptive Inverse Control Strategy حسب Shafiq, M.Riyaz

    منشور في 2003
    "…In this paper, we propose a new adaptive IMC scheme based on adaptive finite impulse response filters, which can be designed for both minimum and non-minimum phase systems in the same fashion. The internal model of the plant is estimated by recursive least square algorithm and the inverse of the system by least mean square. …"
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    article
  3. 103

    Modeling and Bias-Robust Estimation of the Acoustic Release of Chemotherapeutics from Liposomes حسب Wadi, Ali

    منشور في 2019
    "…This paper models the acoustic drug release of chemotherapeutics from liposomes using a kinetic model that accounts for systematic biases affecting the drug delivery process. …"
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    article
  4. 104

    Reinforcement R-learning model for time scheduling of on-demand fog placement حسب Farhat, Peter

    منشور في 2020
    "…Experiments comparing the decisions of our model with two other potential fog placement approaches used for task/service scheduling (threshold based and random based) show that the number of processed requests performed by the cloud decreases from 100 to 30% with a limited number of fogs to push. …"
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    article
  5. 105

    Large language models for code completion: A systematic literature review حسب Rasha Ahmad Husein (19744756)

    منشور في 2024
    "…Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. While several research papers have focused on the use of LLMs for code completion, these studies are fragmented, and there is no systematic overview of the use of LLMs for code completion. …"
  6. 106
  7. 107

    Exposure of Botnets in Cloud Environment by Expending Trust Model with CANFES Classification Approach حسب Nagendra Prabhu Selvaraj (17542041)

    منشور في 2022
    "…The goal is to be able to detect a larger range of bots and botnets by relying on several techniques called trust model. On this work, the port access verification in trust model is achieved by a Heuristic factorizing algorithm which verifies the port accessibility between client-end-user and client server. …"
  8. 108
  9. 109

    Integrating Quality And Maintenance Decisions In A Production- Inventory Model For Deteriorating Items حسب Alfares, HK

    منشور في 2020
    "…In typical production-inventory models of deteriorating items, deterioration of the production process has not been considered. …"
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    article
  10. 110
  11. 111

    Advancing Interpretability in Sequential Models Through Generative AI Rationalization Using GPT-4 حسب Mohammed Rasol Al Saidat

    منشور في 2025
    "…In this study, we investigate the role of Generative Pre-trained Transformer 4 (GPT-4) in enhancing interpretability of sequential predictions in Natural Language Processing (NLP). Our study introduces a hybrid model that integrates traditional sequential prediction models with GPT-4, aiming to generate detailed, context-sensitive explanations for model outputs. …"
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  12. 112

    On-site workshop investment problem: A novel mathematical approach and solution procedure حسب Nima Moradi (19418821)

    منشور في 2023
    "…Two new (linear) mathematical programming models are proposed for MOSWIPT. Next, due to the NP-hardness of the problem, an enhanced Genetic Algorithm (GA)-based metaheuristic with efficient problem-specific improvement rules as local search and effective crossover and mutation operators is proposed. …"
  13. 113

    Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS حسب Tekli, Joe

    منشور في 2018
    "…We then provide a general keyword query model with specially tailored query processing algorithms built on top of SemIndex, in order to produce semantic-aware results, allowing the user to choose the results' semantic coverage and expressiveness based on her needs. …"
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    article
  14. 114

    A Literature Review on System Dynamics Modeling for Sustainable Management of Water Supply and Demand حسب Khawar Naeem (17984062)

    منشور في 2023
    "…One noticeable finding is that only 12% of the articles used quantitative models to complement SDM for the decision-making process. …"
  15. 115
  16. 116

    Toward automatic motivator selection for autism behavior intervention therapy حسب Siyam, Nur

    منشور في 2022
    "…We use a Q-learning algorithm to solve the modeled problem. Our proposed solution is then implemented as a mobile application developed for special education plans coordination. …"
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  17. 117

    Using artificial bee colony to optimize software quality estimation models. (c2015) حسب Abou Assi, Tatiana Antoine

    منشور في 2016
    "…We compare our models to others constructed using other well established techniques such as C4.5, Genetic Algorithms, Simulated Annealing, Tabu Search, multi-layer perceptron with back-propagation, multi-layer perceptron hybridized with ABC and the majority classifier. …"
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    masterThesis
  18. 118

    Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation حسب Zakaria Shams Siam (22048001)

    منشور في 2024
    "…The best performing CycleGAN architecture successfully produced the reconstructed images with a high level of accuracy based on different quantitative and qualitative evaluation criteria. Utilizing a post-processing technique, the best performing model generated 7T MRI from 3T MRI with a structural similarity index measure (SSIM) of 83.80%, peak SNR (PSNR) of 26.25, normalized mean squared error (NMSE) of 0.0088 and normalized mean absolute error (NMAE) of 0.0630. …"
  19. 119

    Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis حسب Hassan Ali (3348749)

    منشور في 2023
    "…<p>Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …"
  20. 120