Brain Source Localization in the Presence of Leadfield Perturbations حسب Momin, Rabiya Nakhat

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Phased Array Technique for Brain Source Localization حسب Zarghami, Tahereh

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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. …"
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Dynamic single node failure recovery in distributed storage systems حسب Itani, M.

"…With the emergence of many erasure coding techniques that help provide reliability in practical distributed storage systems, we use fractional repetition coding on the given data and optimize the allocation of data blocks on system nodes in a way that minimizes the system repair cost. …"
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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. …"
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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. …"
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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. …"
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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. …"
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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. …"
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PERF solutions for distributed query optimization. (c1999) حسب Fany, Roula

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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. …"

Deep Reinforcement Learning for Resource Constrained HLS Scheduling حسب Makhoul, Rim

"…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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Starvation Problem in CPU Scheduling for Multimedia Systems حسب Salah, Khaled

"…Multimedia applications have timing requirements that cannot generally be satisfied using the time-sharing algorithms of general-purpose operating systems. …"
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Edge intelligence for network intrusion prevention in IoT ecosystem حسب Mansura Habiba (17808302)

"…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. …"

Positive Unlabelled Learning to Recognize Dishes as Named Entity حسب TAREK, AIMAN

"…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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NEURAL NETWORK MODEL FOR PLANNED REPLACEMENT OF BOEING 737 BRAKES حسب Al-Garni, Ahmed Z.

"…Three years of data are used for model building and validation. …"
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A novel hybrid methodology for fault diagnosis of wind energy conversion systems حسب Khaled Dhibi (16891524)

"…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. …"

Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management حسب Alhusin, Mohammed Omer Alamin

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Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach حسب El Gohary, Youssef Hesham

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Establishing Autonomous AUS-Quadrotor حسب Al Younes, Younes

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