Search alternatives:
method algorithm » mould algorithm (Expand Search)
mining algorithm » cosine algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
models using » model using (Expand Search)
method algorithm » mould algorithm (Expand Search)
mining algorithm » cosine algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
models using » model using (Expand Search)
-
761
Nonlinear Friction Identification of A Linear Voice Coil DC Motor
Published 2015Get full text
doctoralThesis -
762
Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms
Published 2025“…Given the complexity of the LDTP solution for managing online requests, we propose a real-time, lightweight solution using multi-agent meta-reinforcement learning. Our approach is tested on CNN networks and benchmarked against state-of-the-art conventional reinforcement learning algorithms. …”
-
763
Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study
Published 2024“…Furthermore, future studies could evaluate more efficient modeling algorithms, especially those combining topic modeling with statistical uncertainty quantification, such as conformal prediction.…”
-
764
Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review
Published 2022“…Wearable devices (WDs) make use of sensors historically reserved for hospital settings. …”
-
765
Localizing-ground Transmitters Using Airborne Antenna Array
Published 2020Get full text
doctoralThesis -
766
CAD TOOL FOR THE AUTOMATIC-GENERATION OF MICROPROGRAMS
Published 2020“…The algorithms used in the process of translation from UAHPL description to microprograms are also discussed. …”
Get full text
article -
767
A fine-grained XML structural comparison approach
Published 2007“…Most of them make use of techniques for finding the edit distance between tree structures, XML documents being modeled as ordered labeled trees. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
768
Depthwise Separable Convolutions and Variational Dropout within the context of YOLOv3
Published 2020Get full text
Get full text
Get full text
Get full text
conferenceObject -
769
Data Endowment as a Digital Waqf: An Islamic Ethical Framework for AI Development
Published 2025“…<p dir="ltr">In the era of artificial intelligence (AI), data is often called the new oil—an essential asset for training algorithms and fueling intelligent systems. However, the ethical considerations surrounding this data’s ownership, use, and benefits remain contentious. …”
-
770
SemIndex: Semantic-Aware Inverted Index
Published 2017Get full text
Get full text
Get full text
Get full text
conferenceObject -
771
A family of minimum curvature variable-methods for unconstrained optimization. (c1998)
Published 1998Get full text
Get full text
masterThesis -
772
-
773
Determining the Factors Affecting the Boiling Heat Transfer Coefficient of Sintered Coated Porous Surfaces
Published 2021“…In this regard, two Bayesian optimization algorithms including Gaussian process regression (GPR) and gradient boosting regression trees (GBRT) are used for tuning the hyper-parameters (number of input and dense nodes, number of dense layers, activation function, batch size, Adam decay, and learning rate) of the deep neural network. …”
-
774
Real-Time Social Robot’s Responses to Undesired Interactions Between Children and their Surroundings
Published 2022“…Additionally, we evaluate the performance of the best developed model with children. Machine learning algorithms experiments showed that XGBoost achieved the best performance across all metrics (e.g., accuracy of 90%) and provided fast predictions (i.e., 0.004 s) for the test samples. …”
-
775
Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures
Published 2017“…Most interestingly, we show that such functions can be (i) automatically learned also from controversial but commonly accepted coreference measures, e.g., MELA, and (ii) successfully used in learning algorithms. The accurate model comparison on the standard CoNLL-2012 setting shows the benefit of more expressive loss functions.…”
-
776
A novel XML document structure comparison framework based-on sub-tree commonalities and label semantics
Published 2011“…Most of them make use of techniques for finding the edit distance between tree structures, XML documents being commonly modeled as Ordered Labeled Trees. …”
Get full text
Get full text
Get full text
Get full text
article -
777
Data redundancy management for leaf-edges in connected environments
Published 2022“…Major advances in the fields of Internet and Communication Technology (ICT), data modeling/processing, and sensing technology have rendered traditional environments (e.g., cities, buildings) more connected. …”
Get full text
Get full text
Get full text
Get full text
article -
778
An XML Document Comparison Framework
Published 2001“…Most of them make use of techniques for finding the edit distance between tree structures, XML documents being modeled as Ordered Labeled Trees. …”
Get full text
Get full text
Get full text
article -
779
Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study
Published 2023“…Secondly, to illustrate the gravity of these issues, we present a case study on the task of human facial emotion recognition (FER) based on AffectNet dataset, where we analyze the effects of widely used input quantization on the security, robustness, fairness, and trustworthiness of an EML model. …”
-
780
Energy-Efficient VoI-Aware UAV-Assisted Data Collection in Wireless Sensor Networks
Published 2025Get full text
Get full text
Get full text
masterThesis