يعرض 1 - 19 نتائج من 19 نتيجة بحث عن '(((( complementary ii algorithm ) OR ( element would algorithm ))) OR ( level fusion algorithm ))*', وقت الاستعلام: 0.14s تنقيح النتائج
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    An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm حسب Ghulam Jillani Ansari (16896342)

    منشور في 2021
    "…First after preprocessing input images, the whole feature space (population) is built using a multimodal feature representation technique. Second, a feature level fusion approach is used to combine the features. …"
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    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

    منشور في 2019
    "…This basically follows either a feature-level or decision-level strategy. 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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    Scalable parallel algorithms for difficult combinatorial problems حسب Abu-Khzam, Faisal N.

    منشور في 2004
    "…To accomplish this, an efficient sequential algorithm and two forms of parallel algorithms are implemented. …"
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    conferenceObject
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    Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms حسب Arafat Rahman (8065562)

    منشور في 2021
    "…A machine learning classification pipeline is developed using multi-domain feature extraction (time, frequency, time-frequency), feature selection (Gini impurity), classifier design, and score level fusion. Different classifiers were trained, validated, and tested for two different classification experiments - personalized and generalized. …"
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    Sample intelligence-based progressive hedging algorithms for the stochastic capacitated reliable facility location problem حسب Nezir Aydin (8355378)

    منشور في 2024
    "…In this paper, we developed two novel algorithms integrating SAA and PHA for solving the CRFLP under uncertainty. …"
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    Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering حسب Saadia Jamil (22045946)

    منشور في 2024
    "…A self-organizing map is one of the well-known unsupervised neural network algorithms used for preserving typologies during mapping from the input space (high-dimensional) to the display (low-dimensional).An algorithm called Local Adaptive Receptive Field Dimension Selective Self-Organizing Map 2 is a modified form of a self-organizing Map to cater different data types in the dataset. …"
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    Enhancing Personalized Learning Experiences through AI-driven Analysis of xAPI Data حسب ODEH, HANEEN

    منشور في 2024
    "…This dissertation explores the fusion of Artificial Intelligence (AI) techniques with the obtained xAPI data. …"
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    An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

    منشور في 2019
    "…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. …"
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    Ultra-small cell networks with collaborative RF and lightwave power transfer حسب Tran, HA-Vu

    منشور في 2019
    "…This scheme leads to the formulation of two optimization problems that correspond to the resource allocation at the optical transmitters and the RF AP. …"
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    article
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    Advanced Quantum Control with Ensemble Reinforcement Learning: A Case Study on the XY Spin Chain حسب Farshad Rahimi Ghashghaei (20880995)

    منشور في 2025
    "…<p dir="ltr">This research presents an ensemble Reinforcement Learning (RL) approach that combines Deep Q-Network (DQN) and Proximal Policy Optimization (PPO) algorithms to tackle quantum control problems. This research aims to use the complementary strengths of DQN and PPO algorithms to develop robust and adaptive control policies for noisy and uncertain quantum systems. …"
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    Assessment of network module identification across complex diseases حسب Sarvenaz Choobdar (18602821)

    منشور في 2019
    "…Our robust assessment of 75 module identification methods reveals top-performing algorithms, which recover complementary trait-associated modules. …"
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