Portable Electromagnetic Surface Profiling System حسب Al Homssi, Bassel Mohamad

احصل على النص الكامل

Lung nodule classification utilizing support vector machines حسب Mousa, W.A.H.

"…The SVM classifier is trained with features extracted from 30 nodule images and 20 non-nodule images, and is tested with features out of 16 nodule/non-nodule images. …"
احصل على النص الكامل
احصل على النص الكامل

DASSI: differential architecture search for splice identification from DNA sequences حسب Shabir Moosa (14153316)

"…The demand for robust algorithms over the recent years has brought huge success in the field of Deep Learning (DL) in solving many difficult tasks in image, speech and natural language processing by automating the manual process of architecture design. …"

An effective design system for dynamically reconfigurable architectures حسب Ouaiss, I.

"…In this paper, we use the Joint Photographic Experts Group (JPEG) image compression algorithm as a design example to demonstrate the effectiveness of dynamic reconfiguration achieved using SPARCS. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications حسب Estahbanati, Shahabeddin Vamegh

احصل على النص الكامل

I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams حسب Raun, Kristo

"…This paper introduces a new approximate algorithm – I Will Survive (IWS). The algorithm utilizes the trie data structure to improve the calculation speed, while remaining memory-efficient. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Graph contraction for physical optimization methods حسب Mansour, Nashat

"…We then present experimental results on using contracted graphs as inputs to two physical optimization methods; namely, Genetic Algorithm and Simulated Annealing. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Scan Test Cost and Power Reduction Through Systematic Scan Reconfiguration حسب Al-Yamani, A.

"…Using SAS, this paper also presents systematic scan reconfiguration, a test data compression algorithm that is applied to achieve 10times to 40 times compression ratios without requiring any information from the automatic-test-pattern-generation tool about the unspecified bits. …"
احصل على النص الكامل
احصل على النص الكامل

Evacuation of a highly congested urban city حسب El Khoury, John

"…A case study using real population and transportation network data was tested using the proposed methodology. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

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

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