Computational Intelligence and Sensoric Aparatures for Virus, Fungus, Bacteria, and Biological Threads Detection in Image and Data Samples from Multi Surface Environments
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (31 August 2021) | Viewed by 15867
Special Issue Editor
Interests: computational intellgence; neural networks; image processing; expert systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The year 2020 started with a global pandemic. Every nation has had to face Cov19’s spread across the globe. Cov19, SARS and several other viruses and bacteria that are similarly dangerous for humans viruses, fungus and bacteria are present in our life. We must work together to better understand and control them. Scientists are working in chemical laboratories to find a cure. Meanwhile, technical minds are developing technologies to detect viruses, fungus, and bacteria on multi surface environments. We know that, at certain times, the presence of viruses biological threads, fungus and bacteria can be recorded from metal, glass, paper, plastic, and several derivative materials and environments, and at different times from porous or smooth, and soft or hard materials. Temperature and humidity are other factors with significant influence on the survival of viruses and bacteria.
In this situation, scientific methods that help detect viruses, fungus, and bacteria in image and data samples from multi surface environments are necessary. The aim of this Special Issue is to provide an open platform for scientists and professionals to present the latest achievements in the detection methods and sensory apparatuses by which analysis of the information from images or other data samples can quickly and efficiently provide accurate detection to prevent the uncontrolled spread of viruses, fungus, biological threads, and bacteria dangerous both for human and animals..
It is my pleasure to invite you to contribute your innovative research on computational intelligence to this Special Issue. This issue creates opportunities for dissemination of your research results and cooperation for further innovation.
Topics of interest:
- Bio-inspired methods, deep learning, convolutional neural networks, fuzzy systems, cognitive analysis, and hybrid architecture.;
- Time series, gradient field methods, and surface reconstruction, as well as other mathematical models for intelligent feature detection, extraction and recognition;
- Embedded intelligent computer vision algorithms for microscopic and infrared models;
- Human–nature technology and object activity recognition models;
- Hyper-parameter learning, transfer learning, automatic calibration, and hybrid and surrogate learning for computational intelligence in vision systems;
- Intelligent video and image acquisition techniques applied to medical, transportation, shopping, and delivery.
- Sensoric aparatures, devices, electronics and various equipment to detect potential threads for humans and animals.
Prof. Marcin Woźniak
Guest Editor
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