Search alternatives:
processing algorithm » processing algorithms (Expand Search)
method algorithm » mould algorithm (Expand Search)
element » elements (Expand Search)
processing algorithm » processing algorithms (Expand Search)
method algorithm » mould algorithm (Expand Search)
element » elements (Expand Search)
-
681
Predicting insulin dosage for diabetic patients to reach optimal glucose levels. (c2012)
Published 2012Get full text
Get full text
masterThesis -
682
-
683
Future Prediction of COVID-19 Vaccine Trends Using a Voting Classifier
Published 2021“…Multiple ML algorithms are used to improve decision-making at different aspects after forecasting. …”
-
684
Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
Published 2023“…While artificial intelligence (AI) smooths the path of computers to think like humans, machine learning (ML) and deep learning (DL) pave the way more, even by adding training and learning components. DL algorithms require data labeling and high-performance computers to effectively analyze and understand surveillance data recorded from fixed or mobile cameras installed in indoor or outdoor environments. …”
-
685
Predicting and Interpreting Student Performance Using Machine Learning in Blended Learning Environments in a Jordanian School Context
Published 0024“…These platforms enhance academic performance by fostering collaborative learning environments and generating extensive data from every user interaction. Machine learning algorithms can process large and complex datasets to identify patterns and trends that may not be immediately apparent. …”
Get full text
-
686
Towards Multimedia Fragmentation
Published 2006“…Database fragmentation is a process for reducing irrelevant data accesses by grouping data frequently accessed together in dedicated segments. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
687
-
688
Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review
Published 2022“…WDs coupled with artificial intelligence (AI) algorithms show promise to help understand and conclude meaningful information from the gathered data and provide advanced and clinically meaningful analytics.…”
-
689
Artificial Intelligence for Skin Cancer Detection: Scoping Review
Published 2021“…Hence, to aid in diagnosing skin cancer, artificial intelligence (AI) tools are being used, including shallow and deep machine learning–based methodologies that are trained to detect and classify skin cancer using computer algorithms and deep neural networks.…”
-
690
Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images
Published 2023“…Considering these shortcomings, computational methods especially machine learning and deep learning algorithms are leveraged as an alternative to accelerate the accurate detection of CT scans as cancerous, and non-cancerous. …”
-
691
Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review
Published 2021“…This review article taxonomically dives into the nitty-gritty of the mainstream DL-based PVPF methods while showcasing their strengths and weaknesses. …”
-
692
Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System
Published 2009Get full text
doctoralThesis -
693
Crown Structures for Vertex Cover Kernelization
Published 2007“…Crown structures in a graph are defined and shown to be useful in kernelization algorithms for the classic vertex cover problem. Two vertex cover kernelization methods are discussed. …”
Get full text
Get full text
Get full text
article -
694
Accelerating Blockchain Transaction Verification With Parallel Computing
Published 2024Get full text
doctoralThesis -
695
Identification of phantom movements with an ensemble learning approach
Published 2022“…The ensemble learning-based approaches outperformed the SVM, Decision tree, and kNN methods. …”
-
696
Single-Cell Transcriptome Analysis Revealed Heterogeneity and Identified Novel Therapeutic Targets for Breast Cancer Subtypes
Published 2023“…In the current study, we employed computational algorithms to decipher the cellular composition of estrogen receptor-positive (ER<sup>+</sup>), HER2<sup>+</sup>, ER<sup>+</sup>HER2<sup>+</sup>, and triple-negative BC (TNBC) subtypes from a total of 49,899 single cells’ publicly available transcriptomic data derived from 26 BC patients. …”
-
697
Comparative Study on Arabic Text Classification: Challenges and Opportunities
Published 2022“…Based on the reviewed researches, SVM and Naive Bayes were the most widely used classifiers for Arabic text classification, while more effort is needed to develop and to implement flexible Arabic text classification methods and classifiers.…”
Get full text
-
698
THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar
Published 2020“…Consequently, the big data revolution has provided an opportunity to apply artificial intelligence and machine learning algorithms to mine such a vast data set. …”
-
699
Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks
Published 2024“…We highlight the transition from traditional signature-based to anomaly-based detection methods, emphasizing the significant advantages of AI-driven approaches in identifying novel and sophisticated intrusions. …”
-
700
The Impact of AI on Decision-Making in Educational Management: Benefits, Risks, and Ethical Concerns
Published 2024“…However, the adoption of AI also presents challenges, including potential biases in algorithms, privacy concerns, and the risk of an over-reliance on automated systems. …”
Get full text