Machine Learning Model for a Sustainable Drilling Process حسب Alsaidi, Ola

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Recent Advances of Chimp Optimization Algorithm: Variants and Applications حسب Daoud, Mohammad Sh.

"…Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. …"
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Intelligent Rapidly-Exploring Random Tree Star Algorithm حسب Ahmed, Khidir Galal Eldin Khidir

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Data redundancy management for leaf-edges in connected environments حسب Mansour, Elio

"…Major advances in the fields of Internet and Communication Technology (ICT), data modeling/processing, and sensing technology have rendered traditional environments (e.g., cities, buildings) more connected. …"
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A hybrid graph representation for recursive backtracking algorithms حسب Abu-Khzam, Faisal N.

"…The performance of these algorithms often suffers from the increasing number of graph modifications, such as deletions, that reduce the problem instance and have to be “taken back” frequently during the search process. …"
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The effects of data balancing approaches: A case study حسب Paul Mooijman (4453189)

"…Our results showed that the replacement method was effective, and LogisticRegression combined with the oversampling algorithms SMOTE or ADASYN, GaussianProcessClassifier with the oversampling algorithm SMOTE, and LinearDiscriminantAnalysis were the best performing models after log transformation of the dataset was followed by Recursive Feature Elimination.…"

Big Data Energy Management, Analytics and Visualization for Residential Areas حسب Gupta, Ragini

"…A high-speed distributed computing cluster based on commodity hardware with efficient big data mathematical algorithm is employed in this work. …"
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images حسب Sajun, Ali Reza

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An efficient approach for textual data classification using deep learning حسب Abdullah Alqahtani (7128143)

"…Textual data contains much useless information that must be pre-processed. …"

Bee colony algorithm for assigning proctors to exams. (c2013) حسب Taha, Mohamad Kassem

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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm حسب Nasser, Youssef

"…The proposed method, named Eye-means, emulates the natural ocular process of estimating initial centroids. To achieve this goal, supervised machine learning was employed to train models on graphs with labeled data points, where each graph contains a set of points and a label indicating the centroid determined by K-means. …"
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Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition حسب Dabeeruddin Syed (16864260)

"…Whilst different models are proposed for STLF, they are based on small historical datasets and are not scalable to process large amounts of big data as energy consumption data grow exponentially in large electric distribution networks. …"

Evolutionary algorithms for state justification in sequential automatic test pattern generation حسب El-Maleh, Aiman H.

"…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …"
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Convergence and steady-state analysis of the normalized least mean fourth algorithm حسب Zerguine, Azzedine

Convergence and steady-state analysis of the normalized least mean fourth algorithm حسب Zerguine, Azzedine

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The buffered work-pool approach for search-tree based optimization algorithms حسب Abu-Khzam, Faisal N.

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An ant colony optimization algorithm to improve software quality prediction models حسب Azar, D.

"…We use an ant colony optimization algorithm in the adaptation process. The approach is validated on stability of classes in object-oriented software systems and can easily be used for any other software quality characteristic. …"
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A method for optimizing test bus assignment and sizing for system-on-a-chip حسب Harmanani, Haidar M.

"…We present experimental results that demonstrate the effectiveness of our method while outperforming reported techniques.…"
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Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data حسب Arshad, Muhammad Arbab

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A distributed genetic algorithm for deterministic and stochastic labor scheduling problems حسب Mansour, Nashat

"…In this paper we present a unified formulation for these three labor scheduling problems and introduce a distributed genetic algorithm (DGA) that solves each of them. Our distributed genetic algorithm operates in parallel on a network of message-passing workstations. …"
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