Decomposition method for solving a nonlinear business cycle model حسب Dibeh, Ghassan

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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.…"

Solution of Fractional Differential Equations: Transform and Iterative Methods Approach حسب Alchikh, Razan Abdul Satar

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Iterative Methods for the Solution of a Steady State Biofilter Model حسب Salih, Mubarak Sahal

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Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

"…In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …"
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Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification حسب Rajendra Babu Chikkala (22330876)

"…<p dir="ltr">In recent years, deep learning methods have dramatically improved medical image analysis, though earlier models faced difficulties in capturing intricate spatial and contextual details. …"

An incremental approach for test scheduling and synthesis using genetic algorithms حسب Harmanani, H.

"…The method is based on a genetic algorithm that efficiently explores the testable design space. …"
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Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms حسب Harmanani, H. M.

"…The method is based on a genetic algorithm that efficiently explores the testable design space and finds a sub-optimal test registers assignment for each k-test session. …"
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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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A Survey of cuckoo search algorithm: optimizer and new applications حسب Abualigah, Laith

"…Cuckoo search (CS) is an efficient swarm intelligence-based algorithm that has come a long way since its start in 2009. …"
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A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem حسب Mantawy, A. H.

"…This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. …"
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A simulated annealing algorithm for fuzzy unit commitment problem حسب Mantawy, A.H.

"…This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. …"
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Economic load dispatch using memetic sine cosine algorithm حسب Abu Zitar, Raed

"…SCA is a recent population based optimizer turned towards the optimal solution using a mathematical-based model based on sine and cosine trigonometric functions. …"
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An efficient method for the open-shop scheduling problem using simulated annealing حسب Harmanani, Haidar M.

"…The method is based on a simulated annealing algorithm that efficiently explores the solution space. …"
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Power Control Algorithms for Media Transmission in Remote Healthcare Systems حسب Ali Hassan Sodhro (18629392)

"…Thus, this paper first proposes a transmission power control (TPC)-based energy-efficient algorithm (EEA) for when a subject is in different postures, i.e., standing, walking, and running, in wireless body sensor networks. …"

Multiclass feature selection with metaheuristic optimization algorithms: a review حسب Abu Zitar, Raed

"…Datasets can be classified using various methods. Nevertheless, metaheuristic algorithms attract substantial attention to solving different problems in optimization. …"
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images حسب Sajun, Ali Reza

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Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems حسب Majdi Mansouri (16869885)

"…The proposed improved ABO method consists in reducing the number of samples in the training data set using the Euclidean distance and extracting the most significant features from the reduced data using ABO algorithm. …"

A new minimum curvator multi-step method for unconstrained optimization حسب Obeid, Samir

"…Our derivation of the new algorithm is based on determining some value of the parameter that minimizes the curvature in some chosen metric. …"
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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. …"