AIMC Topic: Humans

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Analysis of Data Interaction Process Based on Data Mining and Neural Network Topology Visualization.

Computational intelligence and neuroscience
This paper addresses data mining and neural network model construction and analysis to design a data interaction process model based on data mining and topology visualization. This paper performs preprocessing data operations such as data filtering a...

Exploring the Development of Chinese Digital Resources under Lightweight Deep Learning.

Computational intelligence and neuroscience
From 2019, countries worldwide have been negatively affected by the corona virus disease 2019 (COVID-19) in all aspects of social life. The high-tech digital industry represented by emerging digital technologies is still vigorous, and correspondingly...

Analysis of the Effect of Urban Residents' Sports Consumption on GDP Growth Based on Deep Learning.

Computational intelligence and neuroscience
Nowadays, emerging industries are emerging, and the sports industry has become a remarkable new economic growth point. Vigorously tapping the potential of residents' sports consumption has important theoretical and practical significance for promotin...

Aesthetic Characteristics of Dance Based on Few-Shot Learning and Neural Networks.

Computational intelligence and neuroscience
Dance is constantly discovering truth, goodness, and beauty in human social life, spreading truth, goodness, and beauty, and fully expressing the artistic pursuit of dance beauty. It shapes different dance images, expresses the aesthetic consciousnes...

Analysis on the Reform and Development of Physical Education Services in the Context of 5G Connected Communication.

Computational intelligence and neuroscience
With the continuous growth of science and technology, mankind has entered the fifth-generation (5G) era. In this background, the development of many fields will face great opportunities and challenges, including the field of physical education (PE). ...

Deep Learning and Transfer Learning for Malaria Detection.

Computational intelligence and neuroscience
Infectious disease malaria is a devastating infectious disease that claims the lives of more than 500,000 people worldwide every year. Most of these deaths occur as a result of a delayed or incorrect diagnosis. At the moment, the manual microscope is...

Frame-by-Frame Analysis of a Commercially Available Artificial Intelligence Polyp Detection System in Full-Length Colonoscopies.

Digestion
INTRODUCTION: Computer-aided detection (CADe) helps increase colonoscopic polyp detection. However, little is known about other performance metrics like the number and duration of false-positive (FP) activations or how stable the detection of a polyp...

Robo-advisor acceptance: Do gender and generation matter?

PloS one
Robo-advice technology refers to services offered by a virtual financial advisor based on artificial intelligence. Research on the application of robo-advice technology already highlights the potential benefit in terms of financial inclusion. We anal...

[Robot-assisted Minimally Invasive Oesophagectomy - Surgical Variants of Intrathoracic Circular Stapled Oesophagogastric Anastomosis].

Zentralblatt fur Chirurgie
INTRODUCTION: Anastomotic insufficiency after oesophagectomy contributes significantly to morbidity and mortality of affected patients. A safe surgical technique can reduce the incidence of such anastomotic insufficiencies.

The pathological risk score: A new deep learning-based signature for predicting survival in cervical cancer.

Cancer medicine
PURPOSE: To develop and validate a deep learning-based pathological risk score (RS) with an aim of predicting patients' prognosis to investigate the potential association between the information within the whole slide image (WSI) and cervical cancer ...