AIMC Topic: Data Analysis

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microbeSEG: A deep learning software tool with OMERO data management for efficient and accurate cell segmentation.

PloS one
In biotechnology, cell growth is one of the most important properties for the characterization and optimization of microbial cultures. Novel live-cell imaging methods are leading to an ever better understanding of cell cultures and their development....

Application of Transformer Models to Landslide Susceptibility Mapping.

Sensors (Basel, Switzerland)
Landslide susceptibility mapping (LSM) is of great significance for the identification and prevention of geological hazards. LSM is based on convolutional neural networks (CNNs); CNNs use fixed convolutional kernels, focus more on local information a...

Emerging Computational Methods in Mass Spectrometry Imaging.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Mass spectrometry imaging (MSI) is a powerful analytical technique that generates maps of hundreds of molecules in biological samples with high sensitivity and molecular specificity. Advanced MSI platforms with capability of high-spatial resolution a...

Higher Education Environment Monitoring and Quality Assessment Model Using Big Data Analysis and Deep Learning.

Journal of environmental and public health
A university exists to help students develop their skills. The goal of university development is to raise the standard of personnel training, and the core component of university development is teaching quality. Whether the level of practical trainin...

Botnet Attack Detection in IoT Using Machine Learning.

Computational intelligence and neuroscience
There are an increasing number of Internet of Things (IoT) devices connected to the network these days, and due to the advancement in technology, the security threads and cyberattacks, such as botnets, are emerging and evolving rapidly with high-risk...

Research on Medical Big Data Analysis and Disease Prediction Method Based on Artificial Intelligence.

Computational and mathematical methods in medicine
In recent years, the continuous development of big data, cloud services, Internet+, artificial intelligence, and other technologies has accelerated the improvement of data communication services in the traditional pharmaceutical industry. It plays a ...

Database Oriented Big Data Analysis Engine Based on Deep Learning.

Computational intelligence and neuroscience
In recent years, with the development of enterprises to the Internet, the demand for cloud database is also growing, especially how to capture data quickly and efficiently through the database. In order to improve the data structure at all levels in ...

Big Data Analysis of Benign Interaction of Great Power Relations and New International Relations Based on Deep Learning.

Journal of environmental and public health
The development of a new type of international relations is the advancement and improvement of diplomatic thinking among contemporary nations. It also serves as a crucial yardstick for assessing the future global pattern and the direction of order ch...

A Neural Network Model for Color Element Data Analysis for Urban Spatial Environment.

Computational intelligence and neuroscience
In this paper, a CNN model for color element data analysis of the urban spatial environment is constructed through an in-depth study of color element data analysis. This paper investigates a high-order structure formed by a few nodes; it proposes a m...

A survey on gene expression data analysis using deep learning methods for cancer diagnosis.

Progress in biophysics and molecular biology
Gene Expression Data is the biological data to extract meaningful hidden information from the gene dataset. This gene information is used for disease diagnosis especially in cancer treatment based on the variations in gene expression levels. DNA micr...