Results 11 to 20 of about 603,733 (222)
Control of autonomous robot behavior using data filtering through adaptive resonance theory
Vietnam Journal of Computer Science, 2017 The aim of the article is to use neural networks to control autonomous robot behavior. The type of the controlling neural network was chosen a backpropagation neural network with a sigmoidal transfer function.
Adam Barton, Eva Volna, Martin Kotyrba
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Journal of Translational Medicine, 2023 Background To develop and validate a conventional MRI-based radiomic model for predicting prognosis in patients with IDH wild-type glioblastoma (GBM) and reveal the biological underpinning of the radiomic phenotypes. Methods A total of 801 adult patients
Fangzhan Guan +14 more
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Screening marker genes of type 2 diabetes mellitus in mouse lacrimal gland by LASSO regression
Scientific Reports, 2023 Type 2 diabetes mellitus (T2DM) is characterized by insulin resistance and a relative deficiency of insulin. This study aims to screen T2DM-related maker genes in the mouse extraorbital lacrimal gland (ELG) by LASSO regression.C57BLKS/J strain with ...
Xiaoting Pei +7 more
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Jurnal Ilmiah Perikanan dan Kelautan, 2021 Highlight Research • The Set Net was identified and recorded. • Length and weight of the catch of set net was analyzed. Abstract Set net fisheries are made according to traditional fishing gears method in the coastal waters of Sungai Sembilang ...
Wan Muhammad Luqman bin Wan Rosdi +6 more
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Is diabetes associated with increased pathological burden in Alzheimer's disease?
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 2021 Introduction We examined the association between Alzheimer's disease (AD) and type 2 diabetes mellitus (DM) and hypothesized that diabetes is associated with an increased pathological burden in clinically and pathologically diagnosed AD. Methods All data
Kaviyon Sadrolashrafi +6 more
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Diabetes prediction model based on an enhanced deep neural network
EURASIP Journal on Wireless Communications and Networking, 2020 Today, diabetes is one of the most common, chronic, and, due to some complications, deadliest diseases in the world. The early detection of diabetes is very important for its timely treatment since it can stop the progression of the disease. The proposed
Huaping Zhou +2 more
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Scientific Reports, 2023 We developed a novel prediction model for recurrence and survival in patients with localized renal cell carcinoma (RCC) after surgery and a novel statistical method of machine learning (ML) to improve accuracy in predicting outcomes using a large Asian ...
Jung Kwon Kim +15 more
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Communication and Language Profiles of Children Treated for Posterior Fossa Brain Tumors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Cognitive and language deficits are frequently reported sequelae of posterior fossa brain tumors (PFBT). Typically, delayed onset impedes prompt assessment and early intervention. This has devastating implications for quality of life.
Zara Sved +4 more
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CloudNet: Ground‐Based Cloud Classification With Deep Convolutional Neural Network
Geophysical Research Letters, 2018 Clouds have an enormous influence on the Earth's energy balance, climate, and weather. Cloud types have different cloud radiative effects, which is an essential indicator of the cloud effect on radiation.
Jinglin Zhang +3 more
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scAlign: a tool for alignment, integration, and rare cell identification from scRNA-seq data
Genome Biology, 2019 scRNA-seq dataset integration occurs in different contexts, such as the identification of cell type-specific differences in gene expression across conditions or species, or batch effect correction. We present scAlign, an unsupervised deep learning method
Nelson Johansen, Gerald Quon
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