بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
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101
A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance
منشور في 2024"…Hence, in this study, deep learning algorithms, such as VGG16, EfficientNetB4, and ResNet, are utilized to diagnose various diseases, such as Alzheimer's, brain tumors, skin diseases, and lung diseases. …"
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102
Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks
منشور في 2013"…A multi-objective problem for energy and distortion minimization is formulated and an energy-efficient, quality of service (QoS) aware suboptimal approach is presented for collaborative video transmission. In the proposed approach, mobiles are grouped into collaborative clusters using a low-complexity clustering algorithm. …"
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article -
103
SemIndex+: A semantic indexing scheme for structured, unstructured, and partly structured data
منشور في 2018"…This paper describes SemIndex+, a semantic-aware indexing and querying framework that allows semantic search, result selection, and result ranking of structured (relational DB-style), unstructured (IR-style), and partly structured (NoSQL) data. Various weighting functions and a parallelized search algorithm have been developed for that purpose and are presented here. …"
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article -
104
Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment
منشور في 2019احصل على النص الكامل
doctoralThesis -
105
K Nearest Neighbor OveRsampling approach: An open source python package for data augmentation
منشور في 2022"…<p>Data is present in abundance, but the problem of imbalanced dataset crops up time and again, vexing classifiers and reducing accuracy. …"
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106
Multi-Agent Learning of Strategies in Abstract Argumentation Mechanisms
منشور في 2009"…As for the effect of the learning algorithm on the choice of strategy, the results confirm that WPL is biased toward mixed strategies while GIGA is faster in convergence to pure strategy Nash equilibria. …"
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107
Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts
منشور في 2022"…The research work carried out, in relation to attack detection ensemble learning, mainly aims to increase the performance of machine learning algorithms by combining their results. …"
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108
Benchmarking Concept Drift Detectors for Online Machine Learning
منشور في 2022"…Upon drift detection, the classifica tion algorithm may reset its model or concurrently grow a new learning model. …"
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109
A machine learning approach for localization in cellular environments
منشور في 2018"…A machine learning approach is developed for localization based on received signal strength (RSS) from cellular towers. …"
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conferenceObject -
110
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111
LDSVM: Leukemia Cancer Classification Using Machine Learning
منشور في 2022"…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …"
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112
Parameter identification of PV solar cells and modules using bio dynamics grasshopper optimization algorithm
منشور في 2024"…The subsequent sections of the paper delve into the intricacies of the PV cell and module model, articulate the formulation of the proposed algorithm, present simulations, and analyse the obtained results. …"
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113
Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study
منشور في 2022"…It was found that the calibrated model achieved these metrics with RMSE of 0.3 ◦C, and MAD of 0.8 ◦C, and 85% of data points with an error less than 0.5 ◦C for a school building case.…"
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114
A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network
منشور في 2019"…Featuring the capability of learning the correlations of time-series data, the proposed deep learning method is well-suited for extracting the valuable transient feature contained in the very beginning of the response curve. …"
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115
A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015)
منشور في 2016"…Then, it searches for population discriminative motifs or differentiable sequence of SNPs, by implementing Probabilistic Suffix Trees data structures. …"
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masterThesis -
116
A novel encryption algorithm using multiple semifield S-boxes based on permutation of symmetric group
منشور في 2023"…The presented algorithm is mainly based on the Shannon idea of substitution–permutation network where the process of substitution is performed by the proposed S<sub>8</sub> semifield substitution boxes and permutation operation is performed by the binary cyclic shift of substitution box transformed data. …"
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117
Damage assessment and recovery from malicious transactions using data dependency for defensive information warfare
منشور في 2007"…In this work, we also present damage assessment and recovery algorithms, and show the performance results.…"
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article -
118
FPGA-Based Network Traffic Classification Using Machine Learning
منشور في 2019احصل على النص الكامل
doctoralThesis -
119
Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms
منشور في 2022"…While the previous studies mostly used ANN to demonstrate the capability of MLs to predict PG over the mechanistic or correlation-based models, the present research has shown that GP is even better than ANN using a wide range of FPs and a large data set.…"
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120
Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link
منشور في 2023"…The most critical subsystem in CubeSats is the electrical power subsystem (EPS), which provides the required power to operate the remaining subsystems. This article presents an approach for optimizing load management and scheduling in CubeSat applications to ensure optimal coordination between the load demand, power generation, and energy storage while maintaining communication's quality of service requirements, namely the data rate and bit error rate (BER). …"