بدائل البحث:
using algorithm » cosine algorithm (توسيع البحث)
developing rd » developing a (توسيع البحث), developing _ (توسيع البحث)
per algorithm » deer algorithm (توسيع البحث), search algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
elements per » elementi per (توسيع البحث), elements _ (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
developing rd » developing a (توسيع البحث), developing _ (توسيع البحث)
per algorithm » deer algorithm (توسيع البحث), search algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
elements per » elementi per (توسيع البحث), elements _ (توسيع البحث)
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441
Security in wire/wireless networks: sniffing attacks prevention/detection techniques in LAN networks & the effect on biometric technology
منشور في 2010"…Accordingly security threats and data banks attacks turn out to be a phenomenon. Thus, granting protection to such crucial information becomes a high demand. …"
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442
High-order parametrization of the hypergeometric-Meijer approximants
منشور في 2023"…To solve this problem, we formulate an equivalent (order by order) linear set of equations which is easy to solve in an appropriate time using normal PCs. We also show that such extension of the hypergeometric resummation algorithm is able to employ non-perturbative information like strong-coupling and large-order asymptotic data which are always used to accelerate the convergence. …"
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443
Recovery of business intelligence systems
منشور في 2018"…The efficiency of the data recovery algorithm is substantial for e-healthcare systems. …"
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article -
444
Brain Source Localization in the Presence of Leadfield Perturbations
منشور في 2015احصل على النص الكامل
doctoralThesis -
445
Phased Array Technique for Brain Source Localization
منشور في 2012احصل على النص الكامل
doctoralThesis -
446
A forward-backward Kalman for the estimation of time-variant channels in OFDM
منشور في 2005"…In this paper, we propose an expectation-maximization (EM) algorithm for joint channel and data recovery. The algorithm makes use of the rich structure of the underlying communication problem-a structure induced by the data and channel constraints. …"
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article -
447
Shuffled Linear Regression with Erroneous Observations
منشور في 2019"…Existing methods are either applicable only to data with limited observation errors, work only for partially shuffled data, sensitive to initialization, and/or work only with small dimensions. …"
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conferenceObject -
448
Benchmarking Concept Drift Detectors for Online Machine Learning
منشور في 2022"…The main task is to detect changes in data distribution that might cause changes in the decision bound aries for a classification algorithm. …"
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449
Clustering Tweets to Discover Trending Topics about دبي (Dubai)
منشور في 2018"…Then, creating a word vector to the tweets by using TF-IDF methodology. After this, log results into k- mean clustering algorithm with cosine similarity to measure similarity between objects of each cluster. …"
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450
A smart decentralized identifiable distributed ledger technology‐based blockchain (DIDLT‐BC) model for cloud‐IoT security
منشور في 2024"…The novel contribution of this work is to incorporate the operations of Rabin digital data signature generation, DIDLT‐based blockchain construction, and BCA algorithms for ensuring overall data security in IoT networks. …"
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451
An EM-Based Forward-Backward Kalman Filter for the Estimation of Time-Variant Channels in OFDM
منشور في 0000"…The algorithm makes a collective use of the data and channel constraints inherent in the communication problem. …"
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article -
452
Edge intelligence for network intrusion prevention in IoT ecosystem
منشور في 2023"…This paper proposes a deep learning-based algorithm to protect the network against Distributed Denial-of-Service (DDoS) attacks, insecure data flow, and similar network intrusions. …"
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article -
453
PERF solutions for distributed query optimization. (c1999)
منشور في 1999احصل على النص الكامل
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masterThesis -
454
A new estimator and approach for estimating the subpopulation parameters
منشور في 2021"…The criterion shows that the traditional total subpopulation estimator for unknown subpopulation size will be more efficient if the subpopulation mean is close to zero. Using an innovative procedure, we develop a new estimator, and we study its properties using real data. …"
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455
Deep Reinforcement Learning for Resource Constrained HLS Scheduling
منشور في 2022"…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …"
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masterThesis -
456
Starvation Problem in CPU Scheduling for Multimedia Systems
منشور في 2002"…Multimedia applications have timing requirements that cannot generally be satisfied using the time-sharing algorithms of general-purpose operating systems. …"
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article -
457
Edge intelligence for network intrusion prevention in IoT ecosystem
منشور في 2023"…This paper proposes a deep learning-based algorithm to protect the network against Distributed Denial-of-Service (DDoS) attacks, insecure data flow, and similar network intrusions. …"
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458
Positive Unlabelled Learning to Recognize Dishes as Named Entity
منشور في 2019"…I work with Yelp dataset, going through each text review, using each noun as a candidate, label the positive samples using the aforementioned lookup table, then using Positive Unlabelled learning techniques to recognise more entities within the unlabelled data, by predicting the probability for each candidate. …"
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459
NEURAL NETWORK MODEL FOR PLANNED REPLACEMENT OF BOEING 737 BRAKES
منشور في 2020"…Three years of data are used for model building and validation. …"
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article -
460
A novel hybrid methodology for fault diagnosis of wind energy conversion systems
منشور في 2023"…Therefore, a hybrid feature selection based diagnosis technique, that can preserve the advantages of wrapper and filter algorithms as well as RF model, is proposed. In the first phase, the neighborhood component analysis (NCA) filter algorithm is used to reduce and select only the pertinent features from the original raw data. …"