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Identifying critical features of iron phosphate particle for lithium preference
One-dimensional (1D) olivine iron phosphate (FePO 4 ) is widely proposed for electrochemical lithium (Li) extraction from dilute water sources,...
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Perceptual (but not acoustic) features predict singing voice preferences
Why do we prefer some singers to others? We investigated how much singing voice preferences can be traced back to objective features of the stimuli....
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Physicochemical features partially explain olfactory crossmodal correspondences
During the olfactory perception process, our olfactory receptors are thought to recognize specific chemical features. These features may contribute...
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Salient sociophonetic features, stereotypes, and attitudes toward Jazani Arabic
Far more attention has been paid to attitudes toward Standard Arabic than colloquial varieties, especially Jazani Arabic. This study aimed to...
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Detecting depression on video logs using audiovisual features
Detecting depression on social media has received significant attention. Develo** a depression detection model helps screen depressed individuals...
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Dataset meta-level and statistical features affect machine learning performance
What dataset features affect machine learning (ML) performance has primarily been unknown in the current literature. This study examines the impact...
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Endoscopic and clinical features of gastric emphysema
Gastric emphysema is characterized by the presence of intramural gas in the stomach without bacterial infection. Due to its rarity, most reports on...
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Predicting histological grade in pediatric glioma using multiparametric radiomics and conventional MRI features
Prediction of glioma is crucial to provide a precise treatment plan to optimize the prognosis of children with glioma. However, studies on the...
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Convolutional MLP orthogonal fusion of multiscale features for visual place recognition
Visual place recognition (VPR) involves obtaining robust image descriptors to cope with differences in camera viewpoints and drastic external...
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CT Cadaveric dataset for Radiomics features stability assessment in lumbar vertebrae
Radiomics features (RFs) studies have showed limitations in the reproducibility of RFs in different acquisition settings. To date, reproducibility...
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Distinguishing features of long COVID identified through immune profiling
Post-acute infection syndromes may develop after acute viral disease
1 . Infection with SARS-CoV-2 can result in the development of a post-acute...
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Handwriting identification and verification using artificial intelligence-assisted textural features
Intelligent process control and automation systems require verification authentication through digital or handwritten signatures. Digital copies of...
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Histogram-based features track Alzheimer's progression in brain MRI
Alzheimer's disease is a form of general dementia marked by amyloid plaques, neurofibrillary tangles, and neuron degeneration. The disease has no...
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The importance of contrast features in rat vision
Models of object recognition have mostly focused upon the hierarchical processing of objects from local edges up to more complex shape features. An...
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Efficient machine learning of solute segregation energy based on physics-informed features
Machine learning models solute segregation energy based on appropriate features of segregation sites. Lum** many features together can give a...
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Features and quality metrics datasets for video coding in DASH
Nowadays, the majority of media Internet traffic consists of H.264-encoded streaming videos due to its high compatibility. One of the most popular...
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Neurological features of Hansen disease: a retrospective, multicenter cohort study
To elucidate the neurological features of Hansen disease. The medical records of patients with confirmed Hansen disease transferred from the...
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Identification and interpretation of gait analysis features and foot conditions by explainable AI
Clinical gait analysis is a crucial step for identifying foot disorders and planning surgery. Automating this process is essential for efficiently...
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Occipital-temporal cortical tuning to semantic and affective features of natural images predicts associated behavioral responses
In everyday life, people need to respond appropriately to many types of emotional stimuli. Here, we investigate whether human occipital-temporal...
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Unsupervised blind image quality assessment via joint spatial and transform features
A novel unsupervised blind image quality assessment (BIQA) method, which requires no mean opinion scores for model training is presented in this...
