Results 41 to 50 of about 6,852,344 (341)

Empathetic Deep Learning: Transferring Adult Speech Emotion Models to Children With Gender-Specific Adaptations Using Neural Embeddings

open access: yesHuman-Centric Intelligent Systems
Understanding and recognizing emotional states through speech has vast implications in areas ranging from customer service to mental health. In this paper, we investigate the relationship between adults and children for the task of automatic speech ...
Elina Lesyk   +5 more
doaj   +1 more source

Week-Ahead Water Demand Forecasting Using Convolutional Neural Network on Multi-Channel Wavelet Scalogram

open access: yesEngineering Proceedings
Water management is vital for building an adaptive and resilient society. Water demand forecasting aids water management by learning the underlying relationship between consumption and governing variables for optimal supply.
Adithya Ramachandran   +3 more
doaj   +1 more source

Recognition Beyond Struggle: On a Liberatory Account of Hegelian Recognition [PDF]

open access: yes, 2006
The article discusses the concept of Hegelian recognition. The four central tenets of the agonistic interpretation of Hegelian recognition are discussed.
Monahan, Michael
core   +1 more source

First report of generalized face processing difficulties in möbius sequence. [PDF]

open access: yes, 2013
Reverse simulation models of facial expression recognition suggest that we recognize the emotions of others by running implicit motor programmes responsible for the production of that expression.
A Todorov   +55 more
core   +3 more sources

Real‐World Pediatric Blinatumomab Administration: Access to Outpatient Care Delivery and Impact of a Hospital‐Dispensed Model

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Blinatumomab has been shown to be highly effective for patients with pediatric B‐ALL and has recently become standard of care therapy. Due to its past use in the clinical trial setting, there is limited information available about real‐world administration.
Katelyn Oranges   +12 more
wiley   +1 more source

Auxiliary Truncated Unscented Kalman Filtering for Bearings-Only Maneuvering Target Tracking

open access: yesSensors, 2017
Novel auxiliary truncated unscented Kalman filtering (ATUKF) is proposed for bearings-only maneuvering target tracking in this paper. In the proposed algorithm, to deal with arbitrary changes in motion models, a modified prior probability density ...
Liang-Qun Li   +3 more
doaj   +1 more source

Survival Outcomes and Complications Among Canadian Children With Retinoblastoma: A Population‐Based Report From CYP‐C

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine   +14 more
wiley   +1 more source

FIN-PRINT a fully-automated multi-stage deep-learning-based framework for the individual recognition of killer whales

open access: yesScientific Reports, 2021
Biometric identification techniques such as photo-identification require an array of unique natural markings to identify individuals. From 1975 to present, Bigg’s killer whales have been photo-identified along the west coast of North America, resulting ...
Christian Bergler   +7 more
doaj   +1 more source

Adherence to Protocol Recommendations for Children With Wilms Tumour in Two Consecutive Studies in the United Kingdom and Ireland—Does Variation Matter?

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait   +23 more
wiley   +1 more source

Regression Networks for Neurophysiological Indicator Evaluation in Practicing Motor Imagery Tasks

open access: yesBrain Sciences, 2020
Motor Imagery (MI) promotes motor learning in activities, like developing professional motor skills, sports gestures, and patient rehabilitation. However, up to 30% of users may not develop enough coordination skills after training sessions because of ...
Luisa Velasquez-Martinez   +4 more
doaj   +1 more source

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