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241
Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS
Published 2018“…To investigate the practicality and effectiveness of SemIndex, we discuss its physical design within a standard commercial RDBMS allowing to create, store, and query its graph structure, thus enabling the system to easily scale up and handle large volumes of data. We have conducted a battery of experiments to test the performance of SemIndex, evaluating its construction time, storage size, query processing time, and result quality, in comparison with legacy inverted index. …”
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242
A Digital DNA Sequencing Engine for Ransomware Analysis using a Machine Learning Network
Published 2020“…In the final phase, the new dataset is trained using active learning concept, and the test data is generated using a random DNA sequence method. …”
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243
Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning
Published 2022Get full text
doctoralThesis -
244
Efficient Seismic Volume Compression using the Lifting Scheme
Published 2000“…In addition, the lifting scheme offers: 1) a dramatic reduction of the required auxiliary memory, 2) an efficient combination with parallel rendering algorithms to perform arbitrary surface and volume rendering for interactive visualization, and 3) an easy integration in the parallel I/O seismic data loading routines. …”
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245
Multi-Classifier Tree With Transient Features for Drift Compensation in Electronic Nose
Published 2020“…These electronic instruments rely on Machine Learning (ML) algorithms for recognizing the sensed odors. The effect of long-term drift influences the performance of ML algorithms and the models those are trained on drift free data fail to perform on the drifted data. …”
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246
Autopilot Design and Commercial Autopilot Evaluation Using Flybarless Helicopter
Published 2014Get full text
doctoralThesis -
247
Artificial Intelligence for Skin Cancer Detection: Scoping Review
Published 2021“…Hence, the reliability of shallow and deep models with higher accuracy scores was questionable since they were trained and tested on relatively small data sets of a few diagnostic classes.…”
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248
Strategies for Reliable Stress Recognition: A Machine Learning Approach Using Heart Rate Variability Features
Published 2024“…<p dir="ltr">Stress recognition, particularly using machine learning (ML) with physiological data such as heart rate variability (HRV), holds promise for mental health interventions. …”
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249
Artificial intelligence models for predicting the mode of delivery in maternal care
Published 2025“…</p><h3>Objectives</h3><p dir="ltr">This study aims to evaluate and compare the predictive accuracy of AI algorithms in predicting the mode of delivery (vaginal or cesarean) using routinely collected antepartum data from electronic health records (EHRs). …”
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250
Combinatorial method for bandwidth selection in wind speed kernel density estimation
Published 2019“…This goal calls for devising probabilistic models with adaptive algorithms that accurately fit wind speed distributions. …”
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251
Using machine learning to support students’ academic decisions
Published 2019“…At enrollment, this work predicts a student’s GPA in different majors using enrollment data such as high school average, placement test results, and IELTS score. …”
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252
MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network
Published 2022“…Because the diagnosis of many neurological diseases is heavily reliant on clean EEG data, it is critical to eliminate motion artifacts from motion-corrupted EEG signals using reliable and robust algorithms. …”
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SemIndex: Semantic-Aware Inverted Index
Published 2017“…We provide here a new approach, called SemIndex, that extends the standard inverted index by constructing a tight coupling inverted index graph that combines two main resources: a general purpose semantic network, and a standard inverted index on a collection of textual data. We also provide an extended query model and related processing algorithms with the help of SemIndex. …”
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255
Using artificial bee colony to optimize software quality estimation models. (c2015)
Published 2016“…We validate our technique on data describing maintainability and reliability of classes in an Object-Oriented system. …”
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masterThesis -
256
Effective dispatch strategies assortment according to the effect of the operation for an islanded hybrid microgrid
Published 2022“…Following the simulation data, load-following is the best dispatch mechanism for stand-alone microgrid architecture since it has the lowest LCOE and NPC.…”
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257
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Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique
Published 2024“…In this study, we harnessed the capabilities of a four-channel, wearable EEG device that captured brain activity data during two distinct CL states: Baseline (representing a non-CL, resting state) and the Stroop Test (a CL-inducing state). …”
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259
Iterative Methods for the Solution of a Steady State Biofilter Model
Published 2017Get full text
doctoralThesis -
260
Nonlinear Friction Identification of A Linear Voice Coil DC Motor
Published 2015Get full text
doctoralThesis