AIMC Topic: Algorithms

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LSTM autoencoder based parallel architecture for deepfake audio detection with dynamic residual encoding and feature fusion.

Scientific reports
With the rapid advancement of synthetic speech technologies, detecting deepfake audio has become essential for preventing impersonation and misinformation. This study aims to enhance detection performance by addressing limitations in existing models,...

A dual path graph neural network framework for dementia diagnosis.

Scientific reports
Dementia typically results from damage to neural pathways and the consequent degeneration of neuronal connections. Graph neural networks (GNNs) have been widely employed to model complex brain networks. However, leveraging the complementary temporal,...

A novel XAI framework for explainable AI-ECG using generative counterfactual XAI (GCX).

Scientific reports
Generative Counterfactual Explainable Artificial Intelligence (XAI) offers a novel approach to understanding how AI models interpret electrocardiograms (ECGs). Traditional explanation methods focus on highlighting important ECG segments but often fai...

Dynamic mode decomposition for analysis and prediction of metabolic oscillations from time-lapse imaging of cellular autofluorescence.

Scientific reports
Oscillations are a common phenomenon in cell biology. They are based on non-linear coupling of biochemical reactions and can show rich dynamic behavior as found in, for example, glycolysis of yeast cells. Here, we show that dynamic mode decomposition...

Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction.

Scientific reports
Content-based image retrieval (CBIR) systems have formidable obstacles in connecting human comprehension with machine-driven feature extraction due to the exponential expansion of visual data across many areas. Robust performance across varied datase...

False-positive tolerant model misconduct mitigation in distributed federated learning on electronic health record data across clinical institutions.

Scientific reports
As collaborative Machine Learning on cross-institutional, fully distributed networks become an important tool in predictive health modeling, its inherent security risks must be addressed. One among such risks is the lack of a mitigation strategy agai...

Machine learning-based analysis on pharmaceutical compounds interaction with polymer to estimate drug solubility in formulations.

Scientific reports
This study introduces a sophisticated predictive framework for determining drug solubility and activity values in formulations via machine learning. The framework utilizes a comprehensive dataset consisting of more than 12,000 data rows and 24 input ...

TDNN achitecture with efficient channel attention and improved residual blocks for accurate speaker recognition.

Scientific reports
In recent years, with the advancement of deep learning, Convolutional Neural Networks (CNNs) have been widely applied in speaker recognition, making CNN-based speaker embedding learning the predominant method for speaker verification. Time Delay Neur...

Enhancing breast cancer diagnosis through machine learning algorithms.

Scientific reports
Among the most important health concerns in the world, and the number one cause of death in women, is breast cancer. Bearing in mind that there are more than 100 types of cancer, each presenting different symptoms, its early detection is indeed a big...

Optimization of biological activities of Agaricus species: an artificial intelligence-assisted approach.

Scientific reports
This study aims to determine the optimum extraction conditions that maximize the biological activities of Agaricus campestris and Agaricus bisporus species. In the study, a total of 64 extraction experiments were carried out at different temperatures...