AIMC Topic: Algorithms

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Deep learning model for classification and bioactivity prediction of essential oil-producing plants from Egypt.

Scientific reports
Reliance on deep learning techniques has become an important trend in several science domains including biological science, due to its proven efficiency in manipulating big data that are often characterized by their non-linear processes and complicat...

Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments.

Nature communications
Due to its specificity, fluorescence microscopy has become a quintessential imaging tool in cell biology. However, photobleaching, phototoxicity, and related artifacts continue to limit fluorescence microscopy's utility. Recently, it has been shown t...

The realization of robotic neurorehabilitation in clinical: use of computational intelligence and future prospects analysis.

Expert review of medical devices
: Although there is a need for rehabilitation treatment with the increase in the aging population, the shortage of skilled physicians frustrates this necessity. Robotic technology has been advocated as one of the most viable methods with the potentia...

Long-Term Progress and Behavior Complexification in Competitive Coevolution.

Artificial life
The possibility of using competitive evolutionary algorithms to generate long-term progress is normally prevented by the convergence on limit cycle dynamics in which the evolving agents keep progressing against their current competitors by periodical...

Data classification based on fractional order gradient descent with momentum for RBF neural network.

Network (Bristol, England)
The weight-updating methods have played an important role in improving the performance of neural networks. To ameliorate the oscillating phenomenon in training radial basis function (RBF) neural network, a fractional order gradient descent with momen...

DAPath: Distance-aware knowledge graph reasoning based on deep reinforcement learning.

Neural networks : the official journal of the International Neural Network Society
Knowledge graph reasoning aims to find reasoning paths for relations over incomplete knowledge graphs (KG). Prior works may not take into account that the rewards for each position (vertex in the graph) may be different. We propose the distance-aware...

An Intelligent Model for the Detection of White Blood Cells using Artificial Intelligence.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: The automatic detection and counting of white blood cells (WBCs) play a vital role in the diagnosis of hematological diseases. Computer-aided methods are prevalent in the detection of WBCs because the manual process involves...

Current status of artificial intelligence analysis for endoscopic ultrasonography.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Endoscopic ultrasonography (EUS) is an essential diagnostic tool for various types of pancreatic diseases such as pancreatic tumors and chronic pancreatitis; however, EUS imaging has low specificity for the diagnosis of pancreatic diseases. Artificia...

Coronary angiography image segmentation based on PSPNet.

Computer methods and programs in biomedicine
PURPOSE: Coronary artery disease (CAD) is known to have high prevalence, high disability and mortality. The incidence and mortality of cardiovascular disease are also gradually increasing worldwide. Therefore, our paper proposes to use a more efficie...