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161
Scatter Search algorithm for Protein Structure Prediction
Published 2016“…The results show that our algorithm is able to produce 3D structures with good sub-optimal energy values. …”
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162
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163
The Effects of Data Mining on Small Businesses in Dubai
Published 2011“…This study was conducted with the aim of finding the benefits of data mining on small businesses and specifically on the real estate sector in Dubai, and the criteria to be used when evaluating and selecting the best tools to consider for such businesses. …”
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164
Anomaly Detection Based Framework for Profile Monitoring
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doctoralThesis -
165
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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166
Deepfakes Signatures Detection in the Handcrafted Features Space
Published 2023“…In the Handwritten Signature Verification (HSV) literature, several synthetic databases have been developed for data-augmentation purposes, where new specimens and new identities were generated using bio-inspired algorithms, neuromotor synthesizers, Generative Adversarial Networks (GANs) as well as several deep learning methods. …”
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167
An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting
Published 2021“…First, the NARXNN model acquires the data to generate a residual error vector. Then, the stacked LSTM model, optimized by Tabu search algorithm, uses the residual error correction associated with the original data to produce a point and interval PVPF. …”
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168
Implementation of trust region methods in optimization. (c1998)
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masterThesis -
169
GenDE: A CRF-Based Data Extractor
Published 2020“…Web site schema detection and data extraction from the Deep Web have been studied a lot. …”
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170
Graph contraction for physical optimization methods
Published 1993“…We then present experimental results on using contracted graphs as inputs to two physical optimization methods; namely, Genetic Algorithm and Simulated Annealing. …”
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conferenceObject -
171
Data redundancy management for leaf-edges in connected environments
Published 2022“…DRMF considers both static and mobile edge devices, and provides two algorithms for temporal and spatio-temporal redundancy detection. …”
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172
Plant disease detection using drones in precision agriculture
Published 2023“…To address this problem, a systematic literature review (SLR) on the use of drones for plant disease detection was undertaken and 38 primary studies were selected to answer research questions related to disease types, drone categories, stakeholders, machine learning tasks, data, techniques to support decision-making, agricultural product types and challenges. …”
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173
On sensor selection in mobile devices based on energy, application accuracy, and context metrics
Published 2013“…We use this algorithm to build a sensor selection model to choose among location sensors. …”
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conferenceObject -
174
Artificial Intelligence for Skin Cancer Detection: Scoping Review
Published 2021“…</p><h3>Objective</h3><p dir="ltr">The aim of this study was to identify and group the different types of AI-based technologies used to detect and classify skin cancer. The study also examined the reliability of the selected papers by studying the correlation between the data set size and the number of diagnostic classes with the performance metrics used to evaluate the models.…”
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175
Using machine learning for disease detection. (c2013)
Published 2016“…Classification has three main components: the classification algorithm, the pre-classified data (training data) and the un-classified data (testing data). …”
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masterThesis -
176
Online Control and Optimization of Directional Drilling
Published 2020“…Gravitational Search Algorithm (GSA) is developed to search for optimal settings of the proposed controller. …”
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masterThesis -
177
ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks
Published 2022“…The proposed scheme for handover prediction outperforms traditional methods i.e. received signal strength method and traveling distance method by reducing the number of unnecessary handovers by 60% and 50% respectively. Similarly, in AP selection, the proposed scheme outperforms the strongest signal first and least loaded first algorithms by achieving higher throughput gains up to 9.2% and 8% respectively.…”
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178
Cyberbullying Detection in Arabic Text using Deep Learning
Published 2023“…Therefore, this study aims to evaluate several versions of Recurrent Neural Networks (RNNs) and Feedforward Neural Networks (FNNs) for detecting cyberbullying in the Arabic language. Although these algorithms are widely used in text classification and outperform the performance of classical classifiers, many have been extensively investigated in other domains such as sentiment analysis and dialect identification, as well as cyberbullying detection in English text. …”
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179
Correlation Clustering via s-Club Cluster Edge Deletion
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masterThesis -
180
Second-order conic programming for data envelopment analysis models
Published 2022“…Data envelopment analysis (DEA) is a widely used benchmarking technique. …”
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