AIMC Topic: Software

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SFN: A Novel Scalable Feature Network for Vulnerability Representation of Open-Source Codes.

Computational intelligence and neuroscience
Vulnerability detection technology has become a hotspot in the field of software security, and most of the current methods do not have a complete consideration during code characterizing, which leads to problems such as information loss. Therefore, t...

Segmentation of Medical Image Using Novel Dilated Ghost Deep Learning Model.

Computational intelligence and neuroscience
Image segmentation and computer vision are becoming more important in computer-aided design. A computer algorithm extracts image borders, colours, and textures. It also depletes resources. Technical knowledge is required to extract information about ...

MiniDeep: A Standalone AI-Edge Platform with a Deep Learning-Based MINI-PC and AI-QSR System.

Sensors (Basel, Switzerland)
In this paper, we present a new AI (Artificial Intelligence) edge platform, called "MiniDeep", which provides a standalone deep learning platform based on the cloud-edge architecture. This AI-Edge platform provides developers with a whole deep learni...

Extending Robot Therapy for Children with Autism Using Mobile and Web Application.

Sensors (Basel, Switzerland)
Robot treatments for children with autism have proven to be successful and effective. However, the resources needed for the treatments do not always meet the needs of the children. We overcame the lack of equipment and staff by extending the concept ...

A preliminary prediction model using a deep learning software program for prolonged hospitalization after cardiovascular surgery.

Surgery today
A prolonged length of hospital stay (LOS) has become an important issue among patients undergoing cardiovascular surgery in our aging society. However, there are no established prediction models for a prolonged LOS. We therefore created a prediction ...

ppdx: Automated modeling of protein-protein interaction descriptors for use with machine learning.

Journal of computational chemistry
This paper describes ppdx, a python workflow tool that combines protein sequence alignment, homology modeling, and structural refinement, to compute a broad array of descriptors for characterizing protein-protein interactions. The descriptors can be ...

Artificial intelligence-based cephalometric landmark annotation and measurements according to Arnett's analysis: can we trust a bot to do that?

Dento maxillo facial radiology
OBJECTIVE: To assess the reliability of CEFBOT, an artificial intelligence (AI)-based cephalometry software, for cephalometric landmark annotation and linear and angular measurements according to Arnett's analysis.

Predicting H NMR acyl chain order parameters with graph neural networks.

Computational biology and chemistry
H NMR order parameters of the acyl chain of phospholipid membranes are an important indicator of the effects of molecules on membrane order, mobility, and permeability. So far, the evaluation procedures are case-by-case studies for every type of smal...

Interpretable Passive Multi-Modal Sensor Fusion for Human Identification and Activity Recognition.

Sensors (Basel, Switzerland)
Human monitoring applications in indoor environments depend on accurate human identification and activity recognition (HIAR). Single modality sensor systems have shown to be accurate for HIAR, but there are some shortcomings to these systems, such as...

iRNA5hmC-HOC: High-order correlation information for identifying RNA 5-hydroxymethylcytosine modification.

Journal of bioinformatics and computational biology
RNA 5-hydroxymethylcytosine (5 hmC) is an important RNA modification, which plays vital role in several biological processes. Currently, it is a hot topic to identify 5 hmC sites due to its benefit in understanding its biological functions. Therefore...