AIMC Journal:
Scientific reports

Showing 1071 to 1080 of 5361 articles

An exploration of RSM, ANN, and ANFIS models for methylene blue dye adsorption using Oryza sativa straw biomass: a comparative approach.

Scientific reports Jan 23, 2025
This study focused on simulating the adsorption-based separation of Methylene Blue (MB) dye utilising Oryza sativa straw biomass (OSSB). Three distinct modelling approaches were employed: artificial neural networks (ANN), adaptive neuro-fuzzy inferen...
Adsorption Biomass Hydrogen-Ion Concentration Fuzzy Logic Spectroscopy, Fourier Transform Infrared Methylene Blue Coloring Agents Water Pollutants, Chemical Oryza Neural Networks, Computer Water Purification
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A noninvasive hyperkalemia monitoring system for dialysis patients based on a 1D-CNN model and single-lead ECG from wearable devices.

Scientific reports Jan 23, 2025
This study aimed to develop a real-time, noninvasive hyperkalemia monitoring system for dialysis patients with chronic kidney disease. Hyperkalemia, common in dialysis patients, can lead to life-threatening arrhythmias or sudden death if untreated. T...
Neural Networks, Computer Renal Dialysis Monitoring, Physiologic Signal Processing, Computer-Assisted Electrocardiography Wearable Electronic Devices Hyperkalemia Renal Insufficiency, Chronic Humans
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Classifying tumour infiltrating lymphocytes in oral squamous cell carcinoma histopathology using joint learning framework.

Scientific reports Jan 23, 2025
Oral squamous cell carcinoma (OSCC) is the most common form of oral cancer, with increasing global incidence and have poor prognosis. Tumour-infiltrating lymphocytes (TILs) are recognized as a key prognostic indicator and play a vital role in OSCC gr...
Lymphocytes, Tumor-Infiltrating Neoplasm Grading Mouth Neoplasms Carcinoma, Squamous Cell Reproducibility of Results Humans Squamous Cell Carcinoma of Head and Neck Machine Learning
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Real-time detection and monitoring of public littering behavior using deep learning for a sustainable environment.

Scientific reports Jan 23, 2025
With the global population surpassing 8 billion, waste production has skyrocketed, leading to increased pollution that adversely affects both terrestrial and marine ecosystems. Public littering, a significant contributor to this pollution, poses seve...
Humans Deep Learning
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Identification of potential biomarkers for 2022 Mpox virus infection: a transcriptomic network analysis and machine learning approach.

Scientific reports Jan 23, 2025
Monkeypox virus (MPXV), a zoonotic pathogen, re-emerged in 2022 with the Clade IIb variant, raising global health concerns due to its unprecedented spread in non-endemic regions. Recent studies have shown that Clade IIb (2022 MPXV) is marked by uniqu...
Computational Biology Mpox, Monkeypox Biomarkers Gene Regulatory Networks Gene Expression Profiling Monkeypox virus Host-Pathogen Interactions Humans Transcriptome Machine Learning
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Medical image segmentation based on frequency domain decomposition SVD linear attention.

Scientific reports Jan 22, 2025
Convolutional Neural Networks (CNNs) have achieved remarkable segmentation accuracy in medical image segmentation tasks. However, the Vision Transformer (ViT) model, with its capability of extracting global information, offers a significant advantage...
Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Humans
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A comparative machine learning study of schizophrenia biomarkers derived from functional connectivity.

Scientific reports Jan 22, 2025
Functional connectivity holds promise as a biomarker of schizophrenia. Yet, the high dimensionality of predictive models trained on functional connectomes, combined with small sample sizes in clinical research, increases the risk of overfitting. Rece...
Connectome Magnetic Resonance Imaging Schizophrenia Biomarkers Brain Adult Humans Male Machine Learning Female
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Investigating the intrinsic top-down dynamics of deep generative models.

Scientific reports Jan 22, 2025
Hierarchical generative models can produce data samples based on the statistical structure of their training distribution. This capability can be linked to current theories in computational neuroscience, which propose that spontaneous brain activity ...
Humans Neural Networks, Computer Deep Learning Models, Neurological Brain
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Development and validation of a machine learning-based prediction model for hepatorenal syndrome in liver cirrhosis patients using MIMIC-IV and eICU databases.

Scientific reports Jan 22, 2025
Hepatorenal syndrome (HRS) is a key contributor to poor prognosis in liver cirrhosis. This study aims to leverage the database to build a predictive model for early identification of high-risk patients. From two sizable public databases, we retrieved...
Female Risk Factors Aged Databases, Factual Prognosis Humans Liver Cirrhosis Machine Learning Nomograms Hepatorenal Syndrome Middle Aged Male ROC Curve
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Spatiotemporal variation in biomass abundance of different algal species in Lake Hulun using machine learning and Sentinel-3 images.

Scientific reports Jan 21, 2025
Climate change and human activities affect the biomass of different algal and the succession of dominant species. In the past, phytoplankton phyla inversion has been focused on oceanic and continental shelf waters, while phytoplankton phyla inversion...
Machine Learning Cyanobacteria Biomass Climate Change Chlorophyta Satellite Imagery Lakes Remote Sensing Technology Spatio-Temporal Analysis Environmental Monitoring Phytoplankton
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