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

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.…"

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. …"
احصل على النص الكامل
احصل على النص الكامل

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. …"
احصل على النص الكامل

A comparative study of RSA based digital signature algorithms حسب Haraty, Ramzi A.

"…After factorization is found, the RSA problem could be solved by finding the private key using the extended Euclidean algorithm.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Exploring Semi-Supervised Learning Algorithms for Camera Trap Images حسب Sajun, Ali Reza

احصل على النص الكامل

Physical optimization algorithms for mapping data to distributed-memory multiprocessors حسب Mansour, Nashat

"…It allows large-scale mapping to become efficient, especially when the physical optimization algorithms are used.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

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

احصل على النص الكامل
احصل على النص الكامل

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

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.

"…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. New approaches are needed to enhance the existing techniques, both to reduce execution time and improve fault coverage. …"
احصل على النص الكامل

Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods حسب Sivakavi Naga Venkata Bramareswara Rao (15944992)

"…The proposed system simulation is carried out using the MATLAB/Simulink-2021a® software. From the results, it is found that the Levenberg–Marquardt optimization algorithm-based ANN model gives the best electrical load forecasting results.…"

A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems حسب Bilal Khurshid (16715865)

"…The HES-IG algorithm has found 15 lower bound values for Reeves benchmark problems. …"

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

احصل على النص الكامل

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

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Evolutionary algorithms, simulated annealing and tabu search: a comparative study حسب Youssef, H.

"…The termevolutionary algorithmis used to refer to any probabilistic algorithmwhose design is inspired by evolutionary mechanisms found in biological species. …"
احصل على النص الكامل

Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images حسب Abu Zitar, Raed

"…The best thresholding values are found using various techniques, including Otsu and Kapur-based techniques. …"
احصل على النص الكامل

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