Currently, tumours rank as the second most common cancer kind. A great number of people are at risk because of cancer. In order to diagnose tumours like brain tumours, the medical sector requires a method that is quic...
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this paper selects key indicators that affect the development level of the power system from the three dimensions of green ecology, balanced sharing, and high-quality abundance to build an evaluation index system for ...
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the proceedings contain 81 papers. the special focus in this conference is on Medical and Biological engineering. the topics include: A Novel University Course on Medical Devices Design and Certification at&...
ISBN:
(纸本)9783031616242
the proceedings contain 81 papers. the special focus in this conference is on Medical and Biological engineering. the topics include: A Novel University Course on Medical Devices Design and Certification at the University of Siena;a Complex Spinal Surgery Lifting System for Prone Positioning;accurate and Interpretable Deep Learning Model for Sleep Staging in Children with Sleep Apnea from Pulse Oximetry;Active Compensation for OPM-MEG Inside a Two-Layer Magnetically Shielded Room;alarms Early Detection in Dialytic therapies via Machine Learning Models;an Everyday Hat for Detection of Eye Blinks and Forehead Clenching;an Innovative Solution for Efficient Workflow Management in Healthcare;an Explainable Deep-Learning Model to Aid in the Diagnosis of Age Related Macular Degeneration;analysis of Age-Related Variations in Photoplethysmography: A Machine Learning Approach;artificial Intelligence Advancements in Fetal Monitoring: Enhancing Prenatal Care;assessing Ergonomic Compliance in Industrial Environments with Markerless 3D Camera-based Systems;assessing Perfusion Changes in Clinical Oncology Applications Using Hyperspectral Imaging;Automatic Detection of Sympathovagal Response Using HRV Analysis. Case Study: Resident Surgeons During Training and their First Laparoscopic Surgery;bayesian Shannon Entropy for Assessing Patient’s Data Interrelation in Medical Applications;body Movement Analysis During Sleep based on Ultra-wideband Communication Channel Impulse Response Measurement;cardiac Phantoms for Signal Transmission Characteristics Analysis of Leadless Pacemakers;Combined Measurement of Brain Activation During a Motor Task Using fNIRS and OPM-MEG;Comet Assay in the Digital Era: A Review of the Use of Artificial Intelligence for the Analysis of DNA Damage based on the Results of the Comet Assay;Comparative Analysis of Depression Detection Using EEG Signals;comparison of Automatic and Semiautomatic Approach for the Posterior Nipple Line Calculation.
this article proposes the optimal design of the Yagi-Uda antenna by using the meta-hybrid intensified current search (MHICuS) algorithm, which is one of the novel powerful metaheuristic optimization techniques. based ...
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Testing of a large-scale and complex software system requires many types of knowledge, skills and personality traits. Contrasting the idea of a perfect all-round tester, this paper presents the Testing Hopscotch model...
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this article proposes a method for detecting the diameter of underground rock drilling holes based on intelligent spatial 3D motion sensors. the three-dimensional motion sensors are used to accurately measure the acce...
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ISBN:
(纸本)9783031705069;9783031705076
this article proposes a method for detecting the diameter of underground rock drilling holes based on intelligent spatial 3D motion sensors. the three-dimensional motion sensors are used to accurately measure the acceleration and angular velocity information of underground rock drilling tools. Combined with algorithm analysis and image processing technology, the length and direction of underground rock drilling hole groups are accurately detected, and algorithms are designed to predict the diameter slices and blasting effects of multiple planes. this method can assist in evaluating the effectiveness of rock drilling construction, provide guidance for rock drilling remedial construction, and reduce construction costs.
Detections of Ginkgoes are prerequisites for later counting and harvesting. Due to the uneven distribution of samples, the detection speed and accuracy of existing algorithms cannot adapt to the impact of complex envi...
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Unstructured data is an important part of aviation enterprise data assets. Withthe development of aviation industry, the volume of data has increased rapidly. However, there are some difficulties in data management a...
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software multiple fault location Attempts to automatically mark the fault location in software programs with multiple faults. Traditional multiple fault location studies generally assume that there is only one fault i...
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this paper proposes to optimize the conventional cost analysis used by SMEs in school construction through qualitative analysis using Primavera Risk Analysis, Microsoft Excel, and Primavera P6. Several stages were car...
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