The use of semantic-based predicates implication to improve horizontal multimedia database fragmentation حسب Getahun, Fekade

"…We particularly discuss multimedia primary horizontal fragmentation and focus on semantic-based textual predicates implication required as a pre-process in current fragmentation algorithms in order to partition multimedia data efficiently. …"
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Detecting protein complexes in protein interaction networks using Mapper and Graph Convolution Networks حسب Daou, Leonardo

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Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem حسب Tao Li (86810)

"…After analyzing the characteristics and structure of the model, a logic-based Benders decomposition algorithm framework is designed for solving this problem. …"

Just-in-time defect prediction for mobile applications: using shallow or deep learning? حسب Raymon van Dinter (10521952)

Using artificial intelligence to improve body iron quantification: A scoping review حسب Abdulqadir J. Nashwan (11659453)

"…The search revealed a wide range of machine learning algorithms used by different studies. Notably, most studies used a single data type. …"

Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids حسب Ahmed Ouammi (14151039)

"…<p>This paper presents a scheduling framework based algorithm for reducing/shaving the peak loads in a team of cooperating microgrids (TCM) powered smart buildings taking advantages of vehicle-to-building (V2B) concept and operational flexibilities of electric vehicles (EVs). …"

Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions حسب Yinsong Chen (16685508)

"…We also evaluate the strengths and limitations of the existing boundary issue solutions and discuss their applicability to different classification of decomposition-based models for wind power forecasting. This study will provide useful references for a wide range of future studies for developing accurate and practical wind power forecasting models.…"

Label dependency modeling in Multi-Label Naïve Bayes through input space expansion حسب PKA Chitra (21749216)

"…To accommodate the heterogeneity of the expanded input space, we refine the likelihood parameters of iMLNB using a joint density function, which is adept at handling the amalgamation of data types. …"

Novel Multi Center and Threshold Ternary Pattern Based Method for Disease Detection Method Using Voice حسب Turker Tuncer (16677966)

"…Our approach is a simple and efficient voice-based algorithm in which a multi-center and multi threshold based ternary pattern is used (MCMTTP). …"

Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems حسب Ahmad K. Sleiti (14778229)

"…Furthermore, this paper demonstrates the advantages of the developed ADL algorithm approach and DSM prediction of the DT using vector autoregressive model for anomaly detection in utility gas turbines with data from an operational power plant.…"

A feature‐based approach for guiding the selection of Internet of Things cybersecurity standards using text mining حسب Koen Schaaf (14778139)

Stochastic Geometry-Based Model for Dynamic Allocation of Metering Equipment in Spatio-Temporal Expanding Power Grids حسب Atat, Rachad

"…The proposed model enables us to carry out tractable dynamic allocation of metering equipment in a large (city-wide) and structurally evolving power grid. Using the developed model, a multi-year algorithm for the allocation of metering equipment is proposed based on finite horizon dynamic programming, given budgetary and technical constraints on system observability. …"
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A systematic review of recent advances in the application of machine learning in membrane-based gas separation technologies حسب Farideh Abdollahi (22303153)

"…The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were used to develop the review. Four online databases, including Web of Science, Scopus, Google Scholar, and Science Direct, were used to screen articles. …"

Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting حسب Abdelkader Baggag (16864140)

"…The learned factors, with a graph-based temporal dependency, are then used in an autoregressive algorithm to predict the future state of the road network with a large horizon. …"

A New Approach for Recognizing Saudi Arabian License Plates using Neural Networks حسب Deriche, Mohamed

"…Finally, a Multilayer Feedforward Neural Network (MFNN) with a backpropagation (BP) algorithm is used for character recognition. We discuss new features from the characters for training the NN. …"
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Modelling surface currents in the Eastern Levantine Mediterranean using surface drifters and satellite altimetry حسب Issa, Leila

"…We present a new and fast method that blends altimetric and drifter positions data in order to predict the surface velocity in the Eastern Levantine Mediterranean. …"
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Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition حسب Abboud, Ralph

"…Over the past years, several approaches have been developed to create algorithmic music composers. Most existing solutions focus on composing music that appears theoretically correct or interesting to the listener. …"
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A smart decentralized identifiable distributed ledger technology‐based blockchain (DIDLT‐BC) model for cloud‐IoT security حسب Shitharth Selvarajan (14157976)

"…The novel contribution of this work is to incorporate the operations of Rabin digital data signature generation, DIDLT‐based blockchain construction, and BCA algorithms for ensuring overall data security in IoT networks. …"

Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches حسب Mohammad, Areej Osama

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Sentiment Analysis of the Emirati Dialect text using Ensemble Stacking Deep Learning Models حسب AL SHAMSI, ARWA AHMED

"…For the basic machine learning algorithms, LR, NB, SVM, RF, DT, MLP, AdaBoost, GBoost, and an ensemble model of machine learning classifiers were used. …"
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