AI Medical Compendium Journal:
Computational intelligence and neuroscience

Showing 11 to 20 of 1931 articles

A Method for Predicting Production Costs Based on Data Fusion from Multiple Sources for Industry 4.0: Trends and Applications of Machine Learning Methods.

Computational intelligence and neuroscience
There is a growing need for manufacturing processes that improve product quality and production rates while reducing costs. With the advent of multisensory information fusion technology, individuals can acquire a broader range of information. Several...

Optimization Strategy of College Students' Education Management Based on Smart Cloud Platform Teaching.

Computational intelligence and neuroscience
With the passage of time and social changes, the form of education is also changing step by step. In just a few decades, information technology has developed by leaps and bounds, and digital education has not yet been widely promoted. Intelligent edu...

Mutual-Attention Net: A Deep Attentional Neural Network for Keyphrase Generation.

Computational intelligence and neuroscience
Neural keyphrase generation (NKG) is a recently proposed approach to automatically extract keyphrase from a document. Unlike the traditional keyphrase extraction, the NKG can generate keyphrases that do not appear in the document. However, as a super...

IoT-Based Reinforcement Learning Using Probabilistic Model for Determining Extensive Exploration through Computational Intelligence for Next-Generation Techniques.

Computational intelligence and neuroscience
Computing intelligence is built on several learning and optimization techniques. Incorporating cutting-edge learning techniques to balance the interaction between exploitation and exploration is therefore an inspiring field, especially when it is com...

Evaluation and Improvement of Employee Performance with respect to Health, Safety, and Environment (HSE) Factors: A Case of Complex Transport Construction Project.

Computational intelligence and neuroscience
Risk control in complex transport construction is complicated due to the dangerous nature of high variation and unpredictability. Most of the current research analysis focuses on the health, safety, and environment (HSE) risk assessment and employee ...

Hybrid Recommender System for Mental Illness Detection in Social Media Using Deep Learning Techniques.

Computational intelligence and neuroscience
Recommender systems are chiefly renowned for their applicability in e-commerce sites and social media. For system optimization, this work introduces a method of behaviour pattern mining to analyze the person's mental stability. With the utilization o...

Artificial Intelligence and Big Data Technologies in the Construction of Surgical Risk Prediction Model for Patients with Coronary Artery Bypass Grafting.

Computational intelligence and neuroscience
The objective of this work was to predict the risk of mortality rate in patients with coronary artery bypass grafting (CABG) based on the risk prediction model of CABG using artificial intelligence (AI) and big data technologies. The clinical data of...

Research on Intelligent English Education Based on the Short Video Recommendation Algorithm.

Computational intelligence and neuroscience
In order to solve the problems of English education in the form of a short video, a research method of English intelligent education based on a short video recommendation algorithm was proposed. The recommendation system is a branch of artificial int...

Learning Attentional Communication with a Common Network for Multiagent Reinforcement Learning.

Computational intelligence and neuroscience
For multiagent communication and cooperation tasks in partially observable environments, most of the existing works only use the information contained in hidden layers of a network at the current moment, limiting the source of information. In this pa...

Adaptive Optimal Control of Hybrid Electric Vehicle Power Battery via Policy Learning.

Computational intelligence and neuroscience
An online policy learning algorithm is used to solve the optimal control problem of the power battery state of charge (SOC) observer for the first time. The design of adaptive neural network (NN) optimal control is studied for the nonlinear power bat...