AIMC Topic: Humans

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Models of Artificial Intelligence-Assisted Diagnosis of Lung Cancer Pathology Based on Deep Learning Algorithms.

Journal of healthcare engineering
In this article, in order to explore the application of a diagnosis system for lung cancer, we use an auxiliary diagnostic system to predict and diagnose the good and evil attributes of chest CT pulmonary nodules. This research improves the new diagn...

Artificial Intelligence-Based Approach for Misogyny and Sarcasm Detection from Arabic Texts.

Computational intelligence and neuroscience
Social media networking is a prominent topic in real life, particularly at the current moment. The impact of comments has been investigated in several studies. Twitter, Facebook, and Instagram are just a few of the social media networks that are used...

Detection of Types of Mental Illness through the Social Network Using Ensembled Deep Learning Model.

Computational intelligence and neuroscience
In today's era, social networking platforms are widely used to share emotions. These types of emotions are often analyzed to predict the user's behavior. In this paper, these types of sentiments are classified to predict the mental illness of the use...

An Optimized Decision Method for Smart Teaching Effect Based on Cloud Computing and Deep Learning.

Computational intelligence and neuroscience
In order to improve the effect of intelligent teaching and give full play to the role of intelligent technology in modern physical education, in this paper, cloud computing and deep learning methods are used to comprehensively evaluate the teaching e...

Application of Lightweight Deep Learning Model in Vocal Music Education in Higher Institutions.

Computational intelligence and neuroscience
The aim is to improve the teaching quality of music majors and cultivate their innovative ability. This article takes Vocal Music Education (VME) method as the research object to explore the teaching reform of Music Major courses. Firstly, this artic...

A Novel and Effective Brain Tumor Classification Model Using Deep Feature Fusion and Famous Machine Learning Classifiers.

Computational intelligence and neuroscience
Brain tumors are difficult to treat and cause substantial fatalities worldwide. Medical professionals visually analyze the images and mark out the tumor regions to identify brain tumors, which is time-consuming and prone to error. Researchers have pr...

Application of Artificial Intelligence Computing in the Universal Design of Aging and Healthy Housing.

Computational intelligence and neuroscience
Intelligent control technology is not only the use of the so-called highly sophisticated technology in the daily life of the elderly but also control services according to the individual needs of the elderly. This paper combines research in psycholog...

The Impact of Wireless Network Mobile Devices on College Students' Labour Concept Education in Artificial Intelligence Environment.

Computational intelligence and neuroscience
To cultivate correct labour values and good labour quality of college students and effectively promote the development of their labour concept education, this work explores the impact of wireless network mobile devices on college students' labour con...

Does frequent use of an exoskeletal upper limb robot improve motor function in stroke patients?

Disability and rehabilitation
PURPOSE: To determine how differences in frequency of the single-joint hybrid assistive limb (HAL-SJ) use affect the improvement of upper limb motor function and activities of daily living (ADL) in stroke patients.

Cancer insights from magnetic resonance spectroscopy of cells and excised tumors.

NMR in biomedicine
Multinuclear ex vivo magnetic resonance spectroscopy (MRS) of cancer cells, xenografts, human cancer tissue, and biofluids is a rapidly expanding field that is providing unique insights into cancer. Starting from the 1970s, the field has continued to...