Results 21 to 30 of about 6,924,037 (250)
ACLASMA: Amplifying Cosine Losses for Anomalous Sound Monitoring in Automation
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
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
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
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
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 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
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
Loss assessment framework for multi-storey buildings based on provided storey loss ...
Davit Shahnazaryan
core +1 more source
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
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

