بدائل البحث:
encoding algorithm » finding algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
data encoding » data including (توسيع البحث), data according (توسيع البحث), data recording (توسيع البحث)
data learning » meta learning (توسيع البحث), deep learning (توسيع البحث), a learning (توسيع البحث)
encoding algorithm » finding algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
data encoding » data including (توسيع البحث), data according (توسيع البحث), data recording (توسيع البحث)
data learning » meta learning (توسيع البحث), deep learning (توسيع البحث), a learning (توسيع البحث)
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LPCRC-Scheme- 2 encoding.
منشور في 2024"…<div><p>Loss-less data compression becomes the need of the hour for effective data compression and computation in VLSI test vector generation and testing in addition to hardware AI/ML computations. …"
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(EBRGC)-Scheme- 3 encoding.
منشور في 2024"…<div><p>Loss-less data compression becomes the need of the hour for effective data compression and computation in VLSI test vector generation and testing in addition to hardware AI/ML computations. …"
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(HSCRC) Scheme-1 encoding.
منشور في 2024"…<div><p>Loss-less data compression becomes the need of the hour for effective data compression and computation in VLSI test vector generation and testing in addition to hardware AI/ML computations. …"
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Performance of various biclustering algorithms on FilmTrust dataset with Q-learning.
منشور في 2025الموضوعات: -
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Evaluation of model aggregation algorithms.
منشور في 2024"…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …"
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Comparison of homomorphic encryption algorithms.
منشور في 2024"…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …"
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Overview of the C&CG method.
منشور في 2025"…The model is solved iteratively using the column generation algorithm and strong duality theory. Case studies on a Northeast China power grid demonstrate that, by optimally configuring generation and storage capacity guided by flexibility and other indicators, the proposed method reduces curtailment/load shedding costs and system flexibility insufficiency probability by 45% and 4.3% respectively. …"
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Data from the article titled Machine Learning Algorithms to Predict Digital Competencies in University Faculty
منشور في 2025"…<p dir="ltr">The data analyzed are part of the study entitled <i>Machine Learning Algorithms to Predict Digital Competencies in University Faculty</i>, which aimed to develop predictive models based on machine learning algorithms to estimate the level of digital competencies among university faculty. …"
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Data Sheet 2_Active learning with human heuristics: an algorithm robust to labeling bias.pdf
منشور في 2024"…<p>Active learning enables prediction models to achieve better performance faster by adaptively querying an oracle for the labels of data points. …"