AIMC Topic: Technology

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Support Vector Machine Weather Prediction Technology Based on the Improved Quantum Optimization Algorithm.

Computational intelligence and neuroscience
Emotion recognition is a research hotspot in the field of artificial intelligence. If the human-computer interaction system can sense human emotion and express emotion, it will make the interaction between the robot and human more natural. In this pa...

Understanding the role of digital platforms in technology readiness.

Regenerative medicine
State-of-the-art digital tools that take advantage of machine learning-derived algorithms and advanced data analytics have the potential to transform regenerative medicine by enabling investigators and clinicians to extract intelligence and actionabl...

Understanding risk factors for postoperative mortality in neonates based on explainable machine learning technology.

Journal of pediatric surgery
PURPOSE: We aimed to introduce an explainable machine learning technology to help clinicians understand the risk factors for neonatal postoperative mortality at different levels.

Predicting innovative firms using web mining and deep learning.

PloS one
Evidence-based STI (science, technology, and innovation) policy making requires accurate indicators of innovation in order to promote economic growth. However, traditional indicators from patents and questionnaire-based surveys often lack coverage, g...

How does innovative technology impact nursing in infectious diseases and infection control? A scoping review.

Nursing open
AIM: Considering the increasing number of emerging infectious diseases, innovative approaches are strongly in demand. Additionally, research in this field has expanded exponentially. Thus, faced with this diverse information, we aim to clarify key co...

A hybrid deep learning technology for PM air quality forecasting.

Environmental science and pollution research international
The concentration of PM is one of the main factors in evaluating the air quality in environmental science. The severe level of PM directly affects the public health, economics and social development. Due to the strong nonlinearity and instability of ...

What makes AI 'intelligent' and 'caring'? Exploring affect and relationality across three sites of intelligence and care.

Social science & medicine (1982)
This paper scrutinises how AI and robotic technologies are transforming the relationships between people and machines in new affective, embodied and relational ways. Through investigating what it means to exist as human 'in relation' to AI across hea...

State of the art in parallel ankle rehabilitation robot: a systematic review.

Journal of neuroengineering and rehabilitation
BACKGROUND: The ankle joint complex (AJC) is of fundamental importance for balance, support, and propulsion. However, it is particularly susceptible to musculoskeletal and neurological injuries, especially neurological injuries such as drop foot foll...

Parents' Perspectives on Using Artificial Intelligence to Reduce Technology Interference During Early Childhood: Cross-sectional Online Survey.

Journal of medical Internet research
BACKGROUND: Parents' use of mobile technologies may interfere with important parent-child interactions that are critical to healthy child development. This phenomenon is known as technoference. However, little is known about the population-wide aware...

Research and Practice of AI Ethics: A Case Study Approach Juxtaposing Academic Discourse with Organisational Reality.

Science and engineering ethics
This study investigates the ethical use of Big Data and Artificial Intelligence (AI) technologies (BD + AI)-using an empirical approach. The paper categorises the current literature and presents a multi-case study of 'on-the-ground' ethical issues th...