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Machine learning for identification and characterization of molecular gene signatures in progression of benign tumors
Kidney cancer is one of the most common cancer with a 2.02% risk in men and 1.02% in women. While several attempts are being made in improving early diagnosis, artificial intelligence has been successful in prediction of cancer progression. This paper ...
Intelligent Human Information Behavior in E-Learning system
Modelling a personal learning environment is an urgent task both in the field of education and in the field of intelligent technologies. The problems of e-learning personification are associated with the organization of information technology support, ...
Minimum energy capacity for “acceleration-braking” control
Basing on the generalization of the results for optimal controls designing of the "acceleration-deceleration" type of motion, whence the known special cases follow, universal analytical control function (translational acceleration) was found. ...
Exactly solvable models for calculating wavelet correlation functions in the theory of non-stationary signals
A model of the complex non-stationary signal (NS) as a superposition of elementary non-stationary signals (ENS) is proposed for the spectral-temporal analysis of irregular processes that are an object of research in various fields of science. We ...
Production2Vec: a hybrid recommender system combining semantic and product complexity approach to improve industrial resiliency
COVID-19 health crisis highlights the fragility of European industrial strategies and leads us to develop more agile, distributed, and resilient production models at a territorial level. There are two major challenges in this regard: one is to find ...
Rapid Transformation Estimation Using Deep Learning for Defect Detection
Defect detection is a crucial step in the manufacturing of vehicle parts such as the engine. One major method for defect detection is to use image registration and image difference to identify and segment the defects. The key technology of this approach ...
“I Am Told to Be Happy”: An Exploration of Deep Learning in Affective Colormaps in Industrial Tomography
Humans show different emotions in response to variant colormaps when facing visual presentations. The affect—colormap relationship thus becomes an important factor in human-in-the-loop systems. In this paper, we explore how to effectively exploit deep ...
Sodinokibi intrusion detection based on logs clustering and random forest
Cyber-attacks are becoming more common and their consequences more and more disastrous. Machine learning is revolutionizing cyber security by analyzing massive amounts of data automatically. In this paper, we test the unsupervised learning method of k-...
Collaborative Decision-Making Models for UAV Operator's Intelligent Decision Support System in Emergencies
Nowadays, the development of an integrated dynamic system for situational control of manned aircraft and unmanned aerial vehicle (UAV) in single airspace in conditions of changing parities, in conditions of risk, uncertainty, multicriteria, ...
Structural Design and Efficient Workspace Optimization of a Four-bar Delta Parallel Picking Robot
At present, the application of parallel picking robot has been very popular, but there are some problems in the actual life that the mechanization efficiency is not high enough. In this paper, through the analysis of the structure design of the existing ...
Research on the Parameters Measurement of Vehicle Brake Performance in Driving
The brake performance parameters of vehicles are important indicators that can most truly reflect the brake conditions of vehicles on the road. Aiming at the problems in the traditional parameters measurement of vehicle brake performance, which is only ...
Food System Driven by Obstacle Degree Optimization Algorithm: System Design and Algorithm Analysis
Food issues have long been the subject of people's concern, and in recent years, frequent disasters have exacerbated the instability of the food system. The contemporary food system is highly efficient, but it neglects equity and sustainability. In ...
Research on Higher Education System: An AHP-TOPSIS Algorithm and Damping Trend Model-based Approach
For the higher education system, we have established an evaluation model that combines the AHP method with the TOPISIS method to specify whether a country's higher education system is healthy and sustainable. we get the result that CR=0.024 <0.1 in H1-P ...
Laser Marking Hatch Contour Generation Algorithm
In order to calculate the laser filling path of the irregular simply connected figure, we establish the parallel filling path model and contour filling path model. According to the classification of the concave and convex points, the total path of the ...
Electricity Generation Forecasting with Wind Power Data: A Grey Model Approach
With the consumption of fossil fuels, wind power is gaining more and more attention internationally. In recent years, China has also vigorously developed wind power generation. Therefore, the forecast of the annual output of wind power plays an ...
Novel Technology for Obtaining Dynamic Load Information of Intelligent Sensing Wheels Based on WEIS
Aiming at the issues that the traditional TPMS method for monitoring wheel dynamic load parameter (DLP) is limited to measure two parameters of the tire real-time pressure and temperature, and is unable to measure wheel dynamic load parameters directly, ...
The Application of Improved Particle Swarm Optimization Algorithm in Iron-Steel Enterprise Capacity Optimization
This paper researches the capacity optimization problem of Iron-steel enterprises under the supply chain environment, builds up a mathematical model with a joint objective of maximize the capacity utilization rate of core enterprises, the demand ...
Recursive Identification for Hammerstein-Wiener system based on extreme learning machine
This paper focus on identifying Hammerstein-Wiener (H-W) model, where the model employs two different ELM networks as nonlinear blocks, respectively. In the model, the orders of dynamic linear part are known. Through some transformations, the output of ...
An automatic boundary tracking algorithm for Rural Buildings Based on Row and Column Searching Method
As rural building boundaries are widely used in GIS for building density calculation, landscape fragmentation and suitability evaluation, the correctness of boundary determination has an important impact on the results of these calculations and ...
Design of Ocean Wave Measurement System Based on STM32
Ocean wave measurementplay an important part in marine environmental monitoring and resource development. In this paper a new type of ocean wave measurement system is designed base on STM32F103C8T6 chip. By the system wave height, period and direction ...
Prediction of Soil Moisture Content Based on Improved BP Neural Network
Aiming at the problem of slow convergence speed and easy to fall into local optimum of traditional BP neural network, an improved BP neural network algorithm is proposed in this paper. The algorithm trains BP neural network by small batch gradient ...
A New query method for the temporal RDF Model RDFMT Based on SPARQL
With the explosion of real-time data, the representation and query of temporal data has become a hot research topic. Many researchers have proposed various temporal representation models and query methods. On the basis of the proposed temporal model ...
MultiLink-QuickAbw: A Multi-Congestion-Links-Oriented Fast Available Bandwidth Measurement Method
In this research, we have implemented a fast available bandwidth measurement method for Multi-Congestion-Links in path, which is based on our previous method QuickAbw. QuickAbw is a fast available bandwidth measurement method which calculates the ...
A Machine Vision Based Medicine Package Printing Three Date Marks Detection Scheme
To solve the problem of misprinting or obscure of Three Date Marks (TDMS) including production date, batch number and the validity on the medicine packaging, a delay-based misplaced difference scheme for medical information detection is presented. ...
Study on establishment of bloodletting vein information database in Mongolian medicine under the background of big data
In this paper, the bloodletting vein information database of Mongolian medicine was established by using literature materials. On the basis of it, a simple Mongolian medicine bloodletting vein information search system was realized. This study will ...
Research on Elementary School Students’ Books Recommendation Algorithm Based on Words and Character Library
There are many book recommendation systems, but there are few recommendation systems for Chinese elementary school students. Children's cognitive models are very different from adults, the personalized and accurate recommendation algorithm for them ...
Reactive power optimization of distributed photovoltaic distribution network based on improved particle swarm algorithm
With the increasingly close relationship between renewable energy and the distribution network, this article proposes a reactive power distribution network based on a series of problems such as reactive power fluctuations, network loss increases, and ...
Fracture acoustic emission signals identification of broken wire using deep transfer learning and wavelet analysis
The quality of cable is directly related to the safety of the bridge. After many years of service, the cable performance is degraded due to corrosion and traffic. In order to maintain the bridge, it is necessary to detect the cable defects as soon as ...
Cited By
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Bao T, Yu Y, Qiu Z and Wu L (2024). Research on key technologies of aseptic tubing transfer system based on STM32 Fourth International Conference on Sensors and Information Technology (ICSI 2024), 10.1117/12.3029428, 9781510678682, (156)
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Haritha K, Janney J B, Hemalatha M, Sudhakar T, Premkumar J and S A (2022). Varicose Vein Diagnosis System and Therapy: A Review 2022 International Conference on Computer, Power and Communications (ICCPC), 10.1109/ICCPC55978.2022.10072209, 979-8-3503-9784-0, (171-175)
Index Terms
- 2021 2nd International Conference on Artificial Intelligence and Information Systems