Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant حسب ALMutawa, J.

"…In order to solve the MCD problem for the EIV model we propose a random search algorithm. The proposed algorithm has been applied to a heat exchanger data.…"
احصل على النص الكامل
احصل على النص الكامل

MDPF: Minimum Distance Packet Forwarding for Search Applications in Mobile Ad Hoc Networks حسب Artail, Hassan

"…The goal of the proposed algorithm is to minimize the average number of hops taken to reach the node that holds the desired data. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Scatter search metaheuristic for homology based protein structure prediction. (c2015) حسب Stamboulian, Mouses Hrag

"…We assess our algorithm on a total of 11 proteins whose structures are present in the Protein Data Bank (PDB) and which has been used in previous literature. …"
احصل على النص الكامل
احصل على النص الكامل

An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

"…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. …"
احصل على النص الكامل

Optimizing ADWIN for Steady Streams حسب Moharram, Hassan

"…However, online machine learning comes with many challenges for the different aspects of the learning process, starting from the algorithm design to the evaluation method. One of these challenges is the ability of a learning system to adapt to the change in data distribution, known as concept drift, to maintain the accuracy of the predictions. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization حسب Majdi Mansouri (16869885)

"…The main idea behind the use of the PSO algorithm is to remove irrelevant features and extract only the most significant ones from raw data in order to improve the classification task using a neural networks classifier. …"

Security in wire/wireless networks: sniffing attacks prevention/detection techniques in LAN networks & the effect on biometric technology حسب Al-Hemairy, Moh'd Hussain

"…Accordingly security threats and data banks attacks turn out to be a phenomenon. Thus, granting protection to such crucial information becomes a high demand. …"
احصل على النص الكامل

High-order parametrization of the hypergeometric-Meijer approximants حسب Abouzeid M. Shalaby (16329062)

"…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. …"

Recovery of business intelligence systems حسب Haraty, Ramzi A.

"…The efficiency of the data recovery algorithm is substantial for e-healthcare systems. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Phased Array Technique for Brain Source Localization حسب Zarghami, Tahereh

احصل على النص الكامل

A forward-backward Kalman for the estimation of time-variant channels in OFDM حسب Al-Naffouri, T.Y.

"…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. …"
احصل على النص الكامل
احصل على النص الكامل

Shuffled Linear Regression with Erroneous Observations حسب Saab, Samer S.

"…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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Benchmarking Concept Drift Detectors for Online Machine Learning حسب Mahgoub, Mahmoud

"…The main task is to detect changes in data distribution that might cause changes in the decision bound aries for a classification algorithm. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Clustering Tweets to Discover Trending Topics about دبي (Dubai) حسب ALYALYALI, SALAMA KHAMIS SALEM KHAMIS

"…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. …"
احصل على النص الكامل

A smart decentralized identifiable distributed ledger technology‐based blockchain (DIDLT‐BC) model for cloud‐IoT security حسب Shitharth Selvarajan (14157976)

"…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. …"

Developing a framework for using face recognition in transit payment transactions حسب HABEH, ORABI MOHAMMAD ABDULLAH

"…The argued face recognition accuracy between 98%-99.2% and average processing time including metro gate opening time ranges between 1114-1400 milliseconds. …"
احصل على النص الكامل

An EM-Based Forward-Backward Kalman Filter for the Estimation of Time-Variant Channels in OFDM حسب Al-Naffouri, T.Y.

"…The algorithm makes a collective use of the data and channel constraints inherent in the communication problem. …"
احصل على النص الكامل
احصل على النص الكامل

Edge intelligence for network intrusion prevention in IoT ecosystem حسب Mansura, Habiba

"…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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

PERF solutions for distributed query optimization. (c1999) حسب Fany, Roula

احصل على النص الكامل
احصل على النص الكامل

A new estimator and approach for estimating the subpopulation parameters حسب Mohammad Salehi M. (21259490)

"…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. …"