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741
A Novel Deep Learning Technique for Detecting Emotional Impact in Online Education
Published 2022“…Facial recognition algorithms extract helpful information from online platforms as image classification techniques are applied to detect the emotions of student and/or teacher faces. …”
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742
Ultra-small cell networks with collaborative RF and lightwave power transfer
Published 2019“…Finally, simulation results illustrate the achievable performance of the investigated system and the effectiveness of the proposed solutions.…”
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743
Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018)
Published 2018“…Experiments on real life data set explore the feasibility of our approach, which also provides better performance in terms of required authorizations, transactions time and employees working hours. …”
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masterThesis -
744
The multi-parameterized cluster editing problem
Published 2017“…The Cluster Editing problem seeks a transformation of a given undirected graph into a transitive graph via a minimum number of edge-edit operations. Existing algorithms often exhibit slow performance and could deliver clusters of no practical significance, such as singletons. …”
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conferenceObject -
745
Design and Development of a Synergetic Controller for a Permanent Magnet Synchronous Motor Drive System
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doctoralThesis -
746
DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins
Published 2025“…ResultMost traditional machine learning algorithms achieved distinction accuracies of over 99 percent, whereas DeepRaman demonstrated an exceptional accuracy of 100 percent. …”
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747
FoGMatch
Published 2019“…Our solution consists of (1) two optimization problems, one for the IoT devices and one for the fog nodes, (2) preference functions for both the IoT and fog layers to help them rank each other on the basis of several criteria such latency and resource utilization, and (3) centralized and distributed intelligent scheduling algorithms that consider the preferences of both the fog and IoT layers to improve the performance of the overall IoT ecosystem. …”
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masterThesis -
748
A Comprehensive Review of AI’s Current Impact and Future Prospects in Cybersecurity
Published 2025“…We examine cutting-edge AI methodologies and principal models across many domains, including machine learning algorithms, deep learning architectures, natural language processing techniques, and anomaly detection algorithms, emphasizing their distinct contributions to enhancing security. …”
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749
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750
A family of minimum curvature variable-methods for unconstrained optimization. (c1998)
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masterThesis -
751
UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks
Published 2018“…We demonstrate the superiority of the proposed approach and the designed algorithms via detailed performance results with analysis, comparisons and insights.…”
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752
Various Faults Classification of Industrial Application of Induction Motors Using Supervised Machine Learning: A Comprehensive Review
Published 2025“…This paper presents a comprehensive review of recent techniques proposed in the literature for bearing, stator winding and broken rotor bar faults with machine learning algorithms focused on fault detection for numerous faults. …”
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753
A Multi-Channel Convolutional Neural Network approach to automate the citation screening process
Published 2021“…Multi-Channel CNNs perform best on large datasets of over 2500 samples with few abstracts missing.…”
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754
Arabic Hotel Reviews Sentiment Analysis Using Deep Learning
Published 2023“…Our models utilized advanced text preprocessing, feature extraction, and classification algorithms to accurately predict sentiment polarity in Arabic hotel reviews. …”
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755
Defined Clinical Classifications Are Associated with Outcome of Patients with Anatomically Resectable Pancreatic Adenocarcinoma Treated with Neoadjuvant Therapy
Published 2012“…It may be used with neoadjuvant therapy to predict outcomes, individualize treatment algorithms, and optimize survival.…”
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756
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757
Applying urban parametric design optimisation processes to a hot climate: Case study of the UAE
Published 2014“…Parametric and algorithmic design is considered a current trend in architectural design processes. …”
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758
Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects
Published 2021“…Future research directions towards the improvement of the performance of the DL-based FDD techniques are also discussed. …”
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759
Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling
Published 2022“…A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. The experimental results indicate the positive effect of clustering similar appointments on the performance measures and the computational time. …”
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760
An XML Document Comparison Framework
Published 2001“…A prototype has been developed to evaluate the optimality and performance of our method. Results demonstrate higher comparison accuracy with respect to alternative XML comparison methods, while timing experiments reflect the significant impact of semantic similarity assessment on overall system performance.…”
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