Results 21 to 30 of about 6,924,037 (250)

ACLASMA: Amplifying Cosine Losses for Anomalous Sound Monitoring in Automation

open access: yesIEEE Access
Anomaly detection is an important application in factory environments. The sounds emitted by a manufacturing machine during runtime can be indicative of either normal performance or of mechanical failure.
Michael Goode Demoor   +1 more
doaj   +1 more source

aryan-jadon/Regression-Loss-Functions-in-Time-Series-Forecasting-Tensorflow: Final Release

open access: yes, 2023
This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow.
Aryan Jadon
core   +1 more source

Constraint Loss for Rotated Object Detection in Remote Sensing Images

open access: yesRemote Sensing, 2021
Rotated object detection is an extension of object detection that uses an oriented bounding box instead of a general horizontal bounding box to define the object position.
Luyang Zhang   +5 more
doaj   +1 more source

Comparison of estimators under different loss functions for two-parameter bathtub - shaped lifetime distribution

open access: yesCumhuriyet Science Journal, 2020
Chen is suggested a two-parameter distribution. This distribution can have increasing failure rate function or a bathtub-shaped that allows it to fit real lifetime data sets.
Kerem Gencer, Gülcan Gencer
doaj   +1 more source

Object Detection in Aerial Images Using a Multiscale Keypoint Detection Network

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Automatic object detection in aerial imagery is being increasingly adopted in many applications, such as traffic monitoring, smart cities, and disaster assistance.
Jinhe Su   +4 more
doaj   +1 more source

Mixture Modeling of Exponentiated Pareto Distribution in Bayesian Framework With Applications of Wind-Speed and Tensile Strength of Carbon Fiber

open access: yesIEEE Access, 2020
Mixture modelling has stunning applications to explain the composite problems in simple way. Bayesian demonstration of 3-Component mixture model of Exponentiated Pareto distribution in right-type-I censoring scheme is presented in this article.
Ammara Nawaz Cheema   +3 more
doaj   +1 more source

On Training Targets and Activation Functions for Deep Representation Learning in Text-Dependent Speaker Verification

open access: yesAcoustics, 2023
Deep representation learning has gained significant momentum in advancing text-dependent speaker verification (TD-SV) systems. When designing deep neural networks (DNN) for extracting bottleneck (BN) features, the key considerations include training ...
Achintya Kumar Sarkar, Zheng-Hua Tan
doaj   +1 more source

davitshahnazaryan3/LOSS: LOSS

open access: yes, 2021
Loss assessment framework for multi-storey buildings based on provided storey loss ...
Davit Shahnazaryan
core   +1 more source

An Efficient Satellite Images Classification Approach Based on Fuzzy Cognitive Map Integration With Deep Learning Models Using Improved Loss Function

open access: yesIEEE Access
Classification applications in order to obtain the desired information from satellite images are one of the increasing areas of study. Remote sensing satellite images are very difficult to obtain, but nevertheless, they can be used in many different ...
Ebru Karakose
doaj   +1 more source

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy