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data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
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Joint computing, communication and cost-aware task offloading in D2D-enabled Het-MEC
Published 2022“…Furthermore, we propose a low-complexity algorithm that generates high performance results and can be applied for large-scale networks. …”
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THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar
Published 2020“…Consequently, the big data revolution has provided an opportunity to apply artificial intelligence and machine learning algorithms to mine such a vast data set. …”
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Impact of birth weight to placental weight ratio and other perinatal risk factors on left ventricular dimensions in newborns: a prospective cohort analysis
Published 2024“…Chi-squared and one-way analysis of variance were used to compare BW/PW groups and the best regression model was selected using a genetic and backward stepwise algorithm.…”
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A Navigation and Control System for a Robot in Indoor/Outdoor Environments
Published 2016Get full text
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Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series
Published 2013Get full text
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Deepfakes Signatures Detection in the Handcrafted Features Space
Published 2023“…In the Handwritten Signature Verification (HSV) literature, several synthetic databases have been developed for data-augmentation purposes, where new specimens and new identities were generated using bio-inspired algorithms, neuromotor synthesizers, Generative Adversarial Networks (GANs) as well as several deep learning methods. …”
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Identity and Aggregate Signature-Based Authentication Protocol for IoD Deployment Military Drone
Published 2021“…Nonetheless, the performance analysis section will be executed using the algorithmic big-O notation. The results show that these protocols are verifiably protected in the ROM and ROR model using the CDHP.…”
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Machine Learning-Based Approach for EV Charging Behavior
Published 2021Get full text
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Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer
Published 2015“…</p><h3>Methods</h3><p dir="ltr">In-silico modeling and Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNe) on IBC/non-IBC (nIBC) gene expression data (n = 197) was employed to identify novel master regulators connected to the IBC phenotype. …”
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Artificial Intelligence for Skin Cancer Detection: Scoping Review
Published 2021“…Hence, to aid in diagnosing skin cancer, artificial intelligence (AI) tools are being used, including shallow and deep machine learning–based methodologies that are trained to detect and classify skin cancer using computer algorithms and deep neural networks.…”
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Axes-Based Encryption Key
Published 2018“…For this, a need of robust security systems is raised to ensure that our data will be kept safe. This paper introduces a new approach in cryptography based on the distribution of data using an x-y key function. …”
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Resilience analytics: coverage and robustness in multi-modal transportation networks
Published 2018“…In this work, we propose MUME, an efficient algorithm for Multi-modal Urban Mobility Estimation, that takes advantage of the special structure of the supra-Laplacian matrix of the transportation multiplex, to compute the coverage of the system. …”
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A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis
Published 2021“…Specifically, we used a clustering algorithm to group published articles based on the similarity of their abstracts to identify research hotspots and current research directions. …”
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Privacy Preserving Cancellable Template Generation for Crypto-Biometric Authentication System
Published 2025“…The proposed methodology not only ensures the protection of biometric data in storage but also facilitates secure data retrieval for authentication purposes. …”
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Multi-Classifier Tree With Transient Features for Drift Compensation in Electronic Nose
Published 2020“…These electronic instruments rely on Machine Learning (ML) algorithms for recognizing the sensed odors. The effect of long-term drift influences the performance of ML algorithms and the models those are trained on drift free data fail to perform on the drifted data. …”
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Dynamic multiple node failure recovery in distributed storage systems
Published 2018“…Our daily lives are getting more and more dependent on data centers and distributed storage systems in general, whether at the business or at the personal level. …”
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