بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data scheduling » task scheduling (توسيع البحث), ahead scheduling (توسيع البحث)
data learning » deep learning (توسيع البحث)
element » elements (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data scheduling » task scheduling (توسيع البحث), ahead scheduling (توسيع البحث)
data learning » deep learning (توسيع البحث)
element » elements (توسيع البحث)
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101
Empowering IoT Resilience: Hybrid Deep Learning Techniques for Enhanced Security
منشور في 2024"…The time efficiency of both proposed algorithms renders them well-suited for deployment in IoT ecosystems. …"
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102
Design of adaptive arrays based on element position perturbations
منشور في 1993"…The main advantage of using this technique over the other commonly used methods is that the amplitudes and phases of the array elements can be used mainly to steer the main beam towards the desired signal. …"
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103
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106
Scheduling and allocation in high-level synthesis using stochastic techniques
منشور في 2020"…In this work, a unique approach to scheduling and allocation problem using the genetic algorithm (GA) is described. …"
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107
An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting
منشور في 2021الموضوعات: -
108
Blue collar laborers’ travel pattern recognition: Machine learning classifier approach
منشور في 2021"…A pattern recognition model is applied to a revealed preference (RP) survey obtained from the Ministry of Transportation and Communication (MoTC) in Qatar for the travel diary for blue-collar workers. Raw data preprocessing and outliers detection and filtering algorithms were applied at the first stage of the analysis, and consequently, an activity-based travel matrix was developed for each household. …"
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109
Finetuning Analytics Information Systems for a Better Understanding of Users: Evidence of Personification Bias on Multiple Digital Channels
منشور في 2023"…<p dir="ltr">Although the effect of hyperparameters on algorithmic outputs is well known in machine learning, the effects of hyperparameters on information systems that produce user or customer segments are relatively unexplored. …"
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110
Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review
منشور في 2021"…These technologies include federated learning, deep transfer learning, incremental learning, and big data DL. …"
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112
Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data
منشور في 2023"…One of the key aspects of WDs with machine learning (ML) algorithms is to find specific data signatures, called Digital biomarkers, that can be used in classification or gaging the extent of the underlying condition. …"
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113
Intelligent Bilateral Client Selection in Federated Learning Using Game Theory
منشور في 2022"…Federated Learning (FL) is a novel distributed privacy-preserving learning paradigm, which enables the collaboration among several participants (e.g., Internet of Things devices) for the training of machine learning models. …"
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masterThesis -
114
Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling
منشور في 2022"…Therefore, this paper proposes a clustering and stochastic optimization methodology to handle the various challenges of OCA planning and scheduling. A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. …"
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115
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
منشور في 2022"…In the initial phase, the proposed HNIDS utilizes hybrid EGA-PSO methods to enhance the minor data samples and thus produce a balanced data set to learn the sample attributes of small samples more accurately. …"
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116
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117
Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images
منشور في 2022"…Over the decade, numerous artificial neural network (ANN)-based techniques were adopted in order to diagnose and classify breast cancer due to the unique characteristics of learning key features from complex data via a training process. …"
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120
Cyberbullying Detection and Abuser Profile Identification on Social Media for Roman Urdu
منشور في 2024الموضوعات: