AIMC Topic: Machine Learning

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An explainable vision transformer with transfer learning based efficient drought stress identification.

Plant molecular biology Jul 31, 2025
Early detection of drought stress is critical for taking timely measures for reducing crop loss before the drought impact becomes irreversible. The subtle phenotypical and physiological changes in response to drought stress are captured by non-invasi...
Crops, Agricultural Image Processing, Computer-Assisted Solanum tuberosum Support Vector Machine Stress, Physiological Machine Learning Deep Learning Droughts
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Dual prompt personalized federated learning in foundation models.

Scientific reports Jul 31, 2025
Personalized federated learning (PFL) has garnered significant attention for its ability to address heterogeneous client data distributions while preserving data privacy. However, when local client data is limited, deep learning models often suffer f...
Models, Theoretical Humans Federated Learning Machine Learning Deep Learning
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Classification accuracy of pain intensity induced by leg blood flow restriction during walking using machine learning based on electroencephalography.

Scientific reports Jul 31, 2025
Pain assessment in clinical practice largely relies on patient-reported subjectivity. Although previous studies using fMRI and EEG have attempted objective pain evaluation, their focus has been limited to resting conditions. This study aimed to class...
Regional Blood Flow Leg Electroencephalography Walking Pain Male Pain Measurement Humans Female Machine Learning Young Adult Algorithms Adult
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Graph theoretic and machine learning approaches in molecular property prediction of bladder cancer therapeutics.

Scientific reports Jul 31, 2025
This work introduces a hybrid computational approach in which degree-based topological descriptors are harnessed with the aid of advanced regression models and artificial neural networks (ANNs) to predict the crucial physicochemical properties of 17 ...
Neural Networks, Computer Machine Learning Humans Antineoplastic Agents Urinary Bladder Neoplasms
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Bind: large-scale biological interaction network discovery through knowledge graph-driven machine learning.

Journal of translational medicine Jul 31, 2025
BACKGROUND: Biological systems derive from complex interactions between entities ranging from biomolecules to macroscopic structures, forming intricate networks essential for understanding disease mechanisms and developing therapeutic interventions. ...
Computer Graphics Humans Machine Learning Computational Biology
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Uncovering active ingredients and mechanisms of Pholiota adiposa in the treatment of Alzheimer's disease based on network pharmacology and bioinformatics.

Scientific reports Jul 31, 2025
Pholiota adiposa is recognized for its health benefits, particularly in Alzheimer's disease (AD), but its molecular mechanism remains elusive. Our study employs network pharmacology and machine learning to uncover its therapeutic potential. We constr...
Alzheimer Disease Drugs, Chinese Herbal Humans Network Pharmacology Molecular Dynamics Simulation Molecular Docking Simulation Machine Learning Computational Biology
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Predicting stunting status among under five children in ethiopia using ensemblemachine learning algorithms.

Scientific reports Jul 31, 2025
Childhood stunting is a persistent public health challenge in Ethiopia, significantly impacting children's physical growth, cognitive development, and overall well-being. This study overcame a key limitation in previous stunting prediction models by ...
Child, Preschool Ethiopia Infant Growth Disorders Machine Learning Algorithms Risk Factors Male Female Humans
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Risk assessment of corn borer based on feature optimization and weighted spatial clustering: a case study in Shandong Province, China.

Scientific reports Jul 31, 2025
As a typical pest affecting corn yield and safety, corn borer causes serious economic losses worldwide. Climate warming has intensified the occurrence of pest outbreaks in recent years, but the associated risk has not been precisely assessed or under...
Machine Learning Risk Assessment China Cluster Analysis Algorithms Animals Zea mays Moths
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Investigating the Impact of the Stationarity Hypothesis on Heart Failure Detection using Deep Convolutional Scattering Networks and Machine Learning.

Scientific reports Jul 31, 2025
Detection of Cardiovascular Diseases (CVDs) has become crucial nowadays, as the World Health Organization (WHO) declares CVDs as the major leading causes of death in the globe. Moreover, the death rate due to CVDs is expected to rise in the next few ...
Deep Learning Electrocardiography Humans Heart Failure Machine Learning Arrhythmias, Cardiac Signal Processing, Computer-Assisted Algorithms
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Parkinson disease detection based on in-air dynamics feature extraction and selection using machine learning.

Scientific reports Jul 31, 2025
Parkinson's disease (PD) is a progressive neurological disorder that impairs movement control, leading to symptoms such as tremors, stiffness, and bradykinesia. Early and accurate PD detection is essential for effective management and improving patie...
Algorithms Female Aged Humans Machine Learning Middle Aged Parkinson Disease Biomechanical Phenomena Handwriting Male
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