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101
On the P-type learning control
منشور في 1994"…Sufficient conditions for the robustness and convergence of P-type learning control algorithms for a class of time-varying, nonlinear systems are presented. …"
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article -
102
Theory of P-type learning control with implication for the robot manipulator
منشور في 1993"…The uniform boundedness of the system states with respect to the existence of errors of initialization, measurement noises and fluctuations of system dynamics is proved. …"
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conferenceObject -
103
Robustness and Convergence of P-type Learning Control
منشور في 1993"…We present the uniform boundedness of the system states with respect to the existence of errors of initialization, measurement noises and fluctuations of system dynamics. …"
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conferenceObject -
104
What are artificial intelligence literacy and competency? A comprehensive framework to support them
منشور في 2024"…Artificial intelligence (AI) education in K–12 schools is a global initiative, yet planning and executing AI education is challenging. …"
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105
Experimental evaluation of multi-agent reinforcement learning in real-world scale-free networks
منشور في 2010"…However, the study and analysis of the state-of-the-art multi-agent reinforcement learning (MARL) algorithms have been limited to small problems involving few number of learning agents.The purpose of this project is to conduct an extensive evaluation and comparison of MARL algorithms when used in networks that exhibit the scale-free property. …"
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106
A novel design technique for generating building form
منشور في 2018"…The development of the technique is initiated by proposing an exploratory methodology where a procedural structure for the technique is formulated from four stages: “backward triangulation” stage, forward building formation stage, evaluation stage and selection stage. …"
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107
Predicting the Release of Chemotherapeutics From the Core of Polymeric Micelles Using Ultrasound
منشور في 2015"…The release is measured as a decrease in fluorescence once ultrasound is applied. Initially, a Kalman filter is used to fuse the drug encapsulation (calculated as 100 %-release%) dynamics and measurements. …"
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108
Cardiovascular health research priorities in the United Arab Emirates
منشور في 2023"…Participants were 37 experts from UAE hospitals, academic and research institutions, CVD associations, and paramedical organizations. Results: Initially, 138 research topics were suggested by participating experts. …"
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109
FarmTech: Regulating the use of digital technologies in the agricultural sector
منشور في 2023"…<p dir="ltr">Farming relies on the accurate collection and processing of data. Algorithms utilizing artificial intelligence can predict patterns and spot problems, helping farmers make more informed decisions. …"
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110
Intelligent Bilateral Client Selection in Federated Learning Using Game Theory
منشور في 2022"…Our solution involves designing (1) preference functions for the client IoT devices and federated servers to allow them to rank each other according to several factors such as accuracy and price, (2) intelligent matching algorithms that take into account the preferences of both parties in their design, and (3) bootstrapping technique that capitalizes on the collaboration of multiple federated servers in order to assign initial accuracy value for the new connected IoT devices. …"
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masterThesis -
111
Unlocking new frontiers in epilepsy through AI: From seizure prediction to personalized medicine
منشور في 2025"…This review examines AI’s transformative potential, its current limitations, and the multidisciplinary initiatives driving its effective implementation in epilepsy care.…"
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112
Extracranial traumatic carotid artery dissections in children
منشور في 2008"…Conclusions As a result of this review of the literature, the authors propose the algorithms for the evaluation and treatment of traumatic extracranial CADs in children. …"
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113
UML-based regression testing for OO software
منشور في 2010"…Regression test selection determines a subset of test cases, from the initial test suite, which concentrates on the parts of the system affected by the modification. …"
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114
The automation of the development of classification models and improvement of model quality using feature engineering techniques
منشور في 2023"…The proposed framework is extendable and configurable by adding algorithms supported by the CARET package implemented in the R programming language. …"
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115
Predict Student Success and Performance factors by analyzing educational data using data mining techniques
منشور في 2022"…The model is then applied to data collected from a reputable university that included 126,698 records with twenty-six (26) initial data attributes. The results show that the Random forest model performed better in terms of accuracy of 90.12% as compared to other models. …"
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116
Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE
منشور في 2023"…Satellite-borne synthetic aperture radar (SAR) is proposed as the main technology for this initial investigation. In fact, SAR is the only satellite-based technology able to detect buried artefacts from space, and it is expected that fine-resolution images of ALOS/PALSAR-2 (L-band SAR) would be able to detect large features (>1 m) that might be buried in the subsurface (<2 m) under optimum conditions, i.e., dry and bare soil. …"
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117
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118
Multi-Classifier Tree With Transient Features for Drift Compensation in Electronic Nose
منشور في 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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119
Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review
منشور في 2025"…ResultsFollowing the search of the mentioned databases, 78 studies were initially retrieved, and 17 of these studies were included for further assessment. …"
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120
LDSVM: Leukemia Cancer Classification Using Machine Learning
منشور في 2022"…The main aim was to predict the initial leukemia disease. Machine learning algorithms such as decision tree (DT), naive bayes (NB), random forest (RF), gradient boosting machine (GBM), linear regression (LinR), support vector machine (SVM), and novel approach based on the combination of Logistic Regression (LR), DT and SVM named as ensemble LDSVM model. …"