Results 51 to 60 of about 1,916,086 (289)
IEEE Access, 2020 The evolutionary algorithms for many-objective optimization based on reference-point decomposition are widely concerned since they generally maintain good performance on many optimization problems, however, most of these algorithms show insufficient ...
Wenjing Sun, Junhua Li
doaj +1 more source
Pediatric 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
An Improved Tabu Search Algorithm for the Stochastic Vehicle Routing Problem With Soft Time Windows
IEEE Access, 2020 In real-world environments, vehicle travel and service time will be affected by unpredictable factors and present a random state. Because of this situation, this article proposes the vehicle routing problem with soft time windows and stochastic travel ...
Guoming Li, Junhua Li
doaj +1 more source
Increased resting-state alpha coherence and impaired inhibition control in young smokers
Frontiers in Neuroscience, 2022 Exposure to nicotine is the first cause of entirely preventable death killing, which is commonly initiated in adolescence. Previous studies revealed the changes of electroencephalography (EEG) and inhibition control in smokers.
Zhengxi Wang +10 more
doaj +1 more source
Deep Residual Learning for Image Recognition
, 2015 Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously.
He, Kaiming +3 more
core +1 more source
Inverse Image Frequency for Long-Tailed Image Recognition
IEEE Transactions on Image Processing, 2023 The long-tailed distribution is a common phenomenon in the real world. Extracted large scale image datasets inevitably demonstrate the long-tailed property and models trained with imbalanced data can obtain high performance for the over-represented categories, but struggle for the under-represented categories, leading to biased predictions and ...
Konstantinos Panagiotis Alexandridis +4 more
openaire +3 more sources
Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma
Pediatric Blood &Cancer, EarlyView.ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul +13 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Kaposiform lymphangiomatosis (KLA) is an aggressive complex lymphatic anomaly. Patients exhibit malformed lymphatic vessels and often develop hemorrhagic effusions and elevated angiopoietin‐2 (Ang‐2) levels. A somatic NRAS p.Q61R (NRASQ61R) mutation has been associated with KLA.
C. Griffin McDaniel +3 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim +8 more
wiley +1 more source
Predicting Face Recognition Performance Using Image Quality [PDF]
, 2015 This paper proposes a data driven model to predict the performance of a face recognition system based on image quality features. We model the relationship between image quality features (e.g. pose, illumination, etc.) and recognition performance measures
Dutta, Abhishek +2 more
core +1 more source