بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
development level » development goal (توسيع البحث)
level algorithm » deer algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
development level » development goal (توسيع البحث)
level algorithm » deer algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
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102
The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review
منشور في 2021"…</p><h3>Objective</h3><p dir="ltr">This review aims to explore the machine learning algorithms used for the detection and diagnosis of bipolar disorder and its subtypes.…"
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103
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104
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
منشور في 2020"…However, high dimensional data present a significant challenge for machine learning techniques. …"
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105
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106
Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques
منشور في 2024"…Various Deep Learning algorithms, including Convolution Neural Network (CNN), LeNet, and Inception-V3 are implemented to classify the records and extract various patterns. …"
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107
Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018)
منشور في 2018"…Companies, nowadays, rely on systems and applications to automate their business processes and data management. In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
108
Unsupervised outlier detection in multidimensional data
منشور في 2022"…<p>Detection and removal of outliers in a dataset is a fundamental preprocessing task without which the analysis of the data can be misleading. Furthermore, the existence of anomalies in the data can heavily degrade the performance of machine learning algorithms. …"
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109
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110
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111
R-CONV++: uncovering privacy vulnerabilities through analytical gradient inversion attacks
منشور في 2025"…<p dir="ltr">Federated learning has emerged as a prominent privacy-preserving technique for leveraging large-scale distributed datasets by sharing gradients instead of raw data. …"
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112
Deep and transfer learning for building occupancy detection: A review and comparative analysis
منشور في 2022"…This article provides an in-depth survey of the strategies used to analyze sensor data and determine occupancy. The article’s primary emphasis is on reviewing deep learning (DL), and transfer learning (TL) approaches for occupancy detection. …"
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113
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114
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115
Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects
منشور في 2021"…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …"
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116
Empirical comparison of regression test selection algorithms
منشور في 2001"…In the maintenance phase, the regression test selection problem refers to selecting test cases from the initial suite of test cases used in the development phase. In this paper, we empirically compare five representative regression test selection algorithms, which include: Simulated Annealing, Reduction, Slicing, Dataflow, and Firewall algorithms. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
117
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118
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119
Large language models for code completion: A systematic literature review
منشور في 2024"…<p>Code completion serves as a fundamental aspect of modern software development, improving developers' coding processes. …"
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120
Application of Data Mining to Predict and Diagnose Diabetic Retinopathy
منشور في 2024احصل على النص الكامل
doctoralThesis