Results 31 to 40 of about 110,596 (265)
Mathematics, 2022 Over the past few decades, convolutional neural networks (CNNs) have achieved outstanding results in addressing a broad scope of computer vision problems.
Rogeany Kanza +4 more
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Neural network hyperparameters.
, 2023 Neural network hyperparameters.
Shaokun Liang (14439551) +4 more
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Sensors, 2023 Pervasive computing, human–computer interaction, human behavior analysis, and human activity recognition (HAR) fields have grown significantly. Deep learning (DL)-based techniques have recently been effectively used to predict various human actions using
Shaik Jameer, Hussain Syed
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Machine learning hyperparameters.
, 2022 Machine learning hyperparameters.
Daniel Carrillo (4107643) +6 more
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IEEE Access, 2023 Non-traumatic grief can be defined as, a complex process that includes emotional, physical, spiritual, social, and intellectual behaviors and responses through which individuals, families, and communities incorporate actual, anticipated, or perceived ...
Jacinto Mata-Vazquez +4 more
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Comparative Analysis of Transformers to Support Fine-Grained Emotion Detection in Short-Text Data
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Understanding a person’s mood and circumstances by way of sentiment or finer-grained emotion detection can play a significant role in AI systems and applications, such as in chat dialogue or reviews.
Robert H. Frye, David C. Wilson
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MathematicsLoad forecasting is an integral part of the power industries. Load-forecasting techniques should minimize the percentage error while prediction future demand. This will inherently help utilities have an uninterrupted power supply.
Umme Mumtahina +2 more
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BrainOS: A Novel Artificial Brain-Alike Automatic Machine Learning Framework
Frontiers in Computational Neuroscience, 2020 Human intelligence is constituted by a multitude of cognitive functions activated either directly or indirectly by external stimuli of various kinds. Computational approaches to the cognitive sciences and to neuroscience are partly premised on the idea ...
Newton Howard +6 more
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Enhancing Load Prediction Accuracy using Optimized Support Vector Regression Models
Journal of Digital Food, Energy & Water Systems, 2023 This paper investigates the effect of Support Vector Regression hyperparameters optimization on electrical load prediction. Accurate and robust load prediction helps policy makers in the energy sector to make inform decision and reduce losses.
Abdulsemiu Olawuyi +3 more
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Hyperparameters used for training.
, 2021 Hyperparameters used for training.
Heba-Tullah Abdelhakam (11836379) +7 more
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