بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
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101
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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102
Topics in graph algorithms
منشور في 2003"…This is a notable improvement over the previous best known algorithm, which runs in O(8kn). In addition to the structural and algorithmic results, this text tries to illustrate the practicality of fixed-parameter algorithms. …"
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masterThesis -
103
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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104
The Use of Microwave Tomography in Bone Healing Monitoring
منشور في 2019احصل على النص الكامل
doctoralThesis -
105
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106
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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107
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 -
108
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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109
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110
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111
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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112
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113
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114
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115
Cyberbullying Detection and Abuser Profile Identification on Social Media for Roman Urdu
منشور في 2024الموضوعات: -
116
Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection
منشور في 2024"…Although Evolutionary Algorithms (EAs) have shown promise in the literature for feature selection, creating EAs for high dimensions is still challenging. …"
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117
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118
Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting
منشور في 2019"…The learned factors, with a graph-based temporal dependency, are then used in an autoregressive algorithm to predict the future state of the road network with a large horizon. …"
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119
Global smart cities classification using a machine learning approach to evaluating livability, technology, and sustainability performance across key urban indices
منشور في 2025"…Drawing on data from the Smart Cities Index (SCI) and other economic and sustainability competitiveness metrics, the study uses various <u>ML algorithms</u> to categorize cities into <u>performance classes</u>, ranging from high-achieving Class 1 to emerging Class 3 cities. …"
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120