Carbon price fluctuation forecasting using an adaptive dual-channel residual attention neural network optimized with white shark optimizer and blockchain-based data provenance

Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time-Frequency-Based Features and Deep Learning Models.

Sensors (Basel, Switzerland)·2023

Multi-Ideology, Multiclass Online Extremism Dataset, and Its Evaluation Using Machine Learning.

Computational intelligence and neuroscience·2023

Enhancing the Breast Histopathology Image Analysis for Cancer Detection Using Variational Autoencoder.

International journal of environmental research and public health·2023

Lung Diseases Detection Using Various Deep Learning Algorithms.

Journal of healthcare engineering·2023

How Well Do Self-Supervised Models Transfer to Medical Imaging?

Journal of imaging·2022

Fault Detection in Induction Motor Using Time Domain and Spectral Imaging-Based Transfer Learning Approach on Vibration Data.

Sensors (Basel, Switzerland)·2022

Vestibular time constant and individual susceptibility to motion sickness in real-world driving.

Scientific reports·2026

Vehicle CO₂ emission prediction based on firefly with ant colony optimization tuned long short-term memory model.

Scientific reports·2026

A model predictive control-based energy management strategy for grid-connected nanogrids.

Scientific reports·2026

Plasma proteomic profiling of septic shock and acute pancreatitis identifies shared signatures and disease-specific pathways.

Scientific reports·2026

Development and validation of a predictive nomogram for cesarean delivery in term singleton pregnancies complicated by small for gestational age undergoing labor induction.

Scientific reports·2026

Search for axions and dark photons using single molecule magnets.

Scientific reports·2026

Memristor-based echo state network for ECG classification: optimizing accuracy and efficiency with different architectures.

Cognitive neurodynamics·2026

Development of a 24-channel 3T phased-array coil for fMRI in awake monkeys: Mitigating spatiotemporal artifacts in ferumoxytol-weighted functional connectivity estimation.

Imaging neuroscience (Cambridge, Mass.)·2026

MST-Net: a multi-scale spatial transformation network for automated T2/T3 staging of rectal cancer on preoperative T2-weighted MRI.

Insights into imaging·2026

Topology-aware relational learning on heterogeneous networks for lncRNA-disease association prediction.

Bio Systems·2026

A deep unrolling network based on cartoon texture decomposition for low-dose CT reconstruction.

Physics in medicine and biology·2026

Development of functional topography of the default mode subnetworks revealed by precision mapping.

Developmental cognitive neuroscience·2026

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Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time-Frequency-Based Features and Deep Learning Models.

Multi-Ideology, Multiclass Online Extremism Dataset, and Its Evaluation Using Machine Learning.

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Memristor-based echo state network for ECG classification: optimizing accuracy and efficiency with different architectures.

Development of a 24-channel 3T phased-array coil for fMRI in awake monkeys: Mitigating spatiotemporal artifacts in ferumoxytol-weighted functional connectivity estimation.

MST-Net: a multi-scale spatial transformation network for automated T2/T3 staging of rectal cancer on preoperative T2-weighted MRI.

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Carbon price fluctuation forecasting using an adaptive dual-channel residual attention neural network optimized with