Results 1 to 10 of about 1,542,275 (117)
Evaluating Image Quality Metrics as Loss Functions for Image Dehazing [PDF]
SensorsThe difficulty and manual nature of procuring human evaluators for ranking the quality of images affected by various types of degradations, and of those cleaned up by developed algorithms, has lead to the widespread adoption of automated metrics, like ...
Rareș Dobre-Baron +2 more
doaj +2 more sources
HasLoss: a novel Hassanat distance-based loss functions for binary classification [PDF]
Frontiers in Artificial IntelligenceIntroductionLoss functions play a critical role in machine learning, particularly in training neural networks for classification tasks. In this work, we establish a theoretical framework for distance-based loss functions by adapting the Hassanat distance
Ahmad S. Tarawneh
doaj +2 more sources
An Analysis of Loss Functions for Heavily Imbalanced Lesion Segmentation [PDF]
SensorsHeavily imbalanced datasets are common in lesion segmentation. Specifically, the lesions usually comprise less than 5% of the whole image volume when dealing with brain MRI.
Mariano Cabezas, Yago Diez
doaj +2 more sources
On Joint Type-II Generalized Progressive Hybrid Censoring Scheme
Computational Journal of Mathematical and Statistical Sciences, 2023 This paper discussed a new scheme is called joint Type-II generalized progressively hybrid censoring scheme (JGPHCS-II). It assumed that the lifetime distribution of the items from the two populations follow exponential distribution.
Samia Salem +2 more
doaj +1 more source
YOLO-SE: Improved YOLOv8 for Remote Sensing Object Detection and Recognition
Applied Sciences, 2023 Object detection remains a pivotal aspect of remote sensing image analysis, and recent strides in Earth observation technology coupled with convolutional neural networks (CNNs) have propelled the field forward.
Tianyong Wu, Youkou Dong
doaj +1 more source
Fabric Defect Detection Method Using SA-Pix2pix Network and Transfer Learning
Applied Sciences, 2023 This paper proposes a fabric defect detection algorithm based on the SA-Pix2pix network and transfer learning to address the issue of insufficient accuracy in detecting complex pattern fabric defects in scenarios with limited sample data.
Feng Hu, Jie Gong, Han Fu, Wenliang Liu
doaj +1 more source
On Training Knowledge Graph Embedding Models
Information, 2021 Knowledge graph embedding (KGE) models have become popular means for making discoveries in knowledge graphs (e.g., RDF graphs) in an efficient and scalable manner.
Sameh K. Mohamed +2 more
doaj +1 more source
Mathematics, 2022 Given several nonnegative matrices with a single pattern of allocation among their zero/nonzero elements, the average matrix should have the same pattern as well.
Vladimir Yu. Protasov +2 more
doaj +1 more source
Frontiers in Water, 2022 Environmental changes are predicted to exacerbate changes in flood events, resulting in consequences for exposed systems. While the availability and quality of flood risk analyses are generally increasing, very little attention has been paid to flood ...
Jeremy R. Porter +8 more
doaj +1 more source
Mathematics, 2022 This article aims to consider estimating the unknown parameters, survival, and hazard functions of the beta inverted exponential distribution. Two methods of estimation were used based on type-II censored samples: maximum likelihood and Bayes estimators.
Maha A. Aldahlan +2 more
doaj +1 more source