Results 121 to 130 of about 9,106,328 (402)

Widened Attention‐Enhanced Atrous Convolutional Network for Efficient Embedded Vision Applications under Resource Constraints

open access: yesAdvanced Intelligent Systems, EarlyView.
The article introduces WACEfNet, a new convolutional neural network architecture optimized for efficient aerial image analysis under resource constraints. It creatively integrates attention mechanisms and atrous convolutions into a compact widened residual network framework.
Md Meftahul Ferdaus   +4 more
wiley   +1 more source

Unraveling Multimodal Brain Signatures: Deciphering Transdiagnostic Dimensions of Psychopathology in Adolescents

open access: yesAdvanced Intelligent Systems, EarlyView.
This study, utilizing two large‐cohort datasets, employs interpretable neural networks. It demonstrates that incorporating brain morphology and functional and structural networks enhances predictive accuracy for general psychopathology and its dimensions.
Jing Xia, Nanguang Chen, Anqi Qiu
wiley   +1 more source

A generalised sigmoid population growth model with energy dependence: application to quantify the tipping point for Antarctic shallow seabed algae [PDF]

open access: yesEnviron. Model. Softw. 188, 106397 (2025)
Sigmoid growth models are often used to study population dynamics. The size of a population at equilibrium commonly depends explicitly on the availability of resources, such as an energy or nutrient source, which is not explicit in standard sigmoid growth models.
arxiv   +1 more source

π‐PhenoDrug: A Comprehensive Deep Learning‐Based Pipeline for Phenotypic Drug Screening in High‐Content Analysis

open access: yesAdvanced Intelligent Systems, EarlyView.
This study develops a deep learning‐based pipeline named π‐PhenoDrug for cell phenotype‐driven drug activity screening. π‐PhenoDrug integrates cell segmentation, morphological profile construction, and phenotype analysis modules, and it can assess drug effects on living cells in both supervised and unsupervised modes.
Xiao Li   +7 more
wiley   +1 more source

Variability analysis of Memristor-based Sigmoid Function [PDF]

open access: yesarXiv, 2018
Activation functions are widely used in neural networks to decide the activation value of the neural unit based upon linear combinations of the weighted inputs. The effective implementation of activation function is highly important, as they help to represent non-linear complex functional mappings between inputs and outputs of the neural network.
arxiv  

Quantitative Analysis of Fluorescent Sensor Arrays

open access: yesAnalysis &Sensing, Accepted Article.
Fluorescent sensor arrays address the limitations of a single sensor by leveraging multiple sensing elements to generate unique response patterns for each of the analyte of interest. This approach has emerged as a powerful tool for identifying and analysing intricate chemical and biological environments using various multivariate analytical tools such ...
Karandeep Grover   +3 more
wiley   +1 more source

Analysis of Bowel Diseases from Blood Serum by Autofluorescence and Atomic Force Microscopy Techniques

open access: yesOpen Chemistry, 2018
Diagnosis of bowel diseases is often difficult and time consuming since it is not always possible to obtain adequate information by the conventional diagnostic methods to set up a diagnosis and exclude nongastrointestinal causes of symptoms.
Tomečková Vladimíra   +11 more
doaj   +1 more source

Population pharmacokinetics and dosing of dispersible moxifloxacin formulation in children with rifampicin‐resistant tuberculosis

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Aims Moxifloxacin is a priority drug for treating rifampicin‐resistant tuberculosis (RR‐TB). We assessed the pharmacokinetics of a child‐friendly, dispersible 100 mg tablet moxifloxacin formulation (dispersed in water) compared to the standard 400 mg non‐dispersible formulation (crushed and suspended in water) in children and evaluated current dosing ...
Megan Palmer   +16 more
wiley   +1 more source

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