AIMC Topic: Algorithms

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Supervised machine learning and associated algorithms: applications in orthopedic surgery.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Supervised learning is the most common form of machine learning utilized in medical research. It is used to predict outcomes of interest or classify positive and/or negative cases with a known ground truth. Supervised learning describes a spectrum of...

Applications of machine learning techniques for enhancing nondestructive food quality and safety detection.

Critical reviews in food science and nutrition
In considering the need of people all over the world for high-quality food, there has been a recent increase in interest in the role of nondestructive and rapid detection technologies in the food industry. Moreover, the analysis of data acquired by m...

Environmental toxicity risk evaluation of nitroaromatic compounds: Machine learning driven binary/multiple classification and design of safe alternatives.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
Nitroaromatic compounds (NACs) represent a significant source of organic pollutants in the environment. In this study, a well-rounded dataset containing 371 NACs with rat oral median lethal doses (LD) was developed. Based on the dataset, binary and m...

Leveraging Expert Demonstration Features for Deep Reinforcement Learning in Floor Cleaning Robot Navigation.

Sensors (Basel, Switzerland)
In this paper, a Deep Reinforcement Learning (DRL)-based approach for learning mobile cleaning robot navigation commands that leverage experience from expert demonstrations is presented. First, expert demonstrations of robot motion trajectories in si...

A Particleboard Surface Defect Detection Method Research Based on the Deep Learning Algorithm.

Sensors (Basel, Switzerland)
Particleboard surface defects have a significant impact on product quality. A surface defect detection method is essential to enhancing the quality of particleboard because the conventional defect detection method has low accuracy and efficiency. Thi...

Iris Recognition Method Based on Parallel Iris Localization Algorithm and Deep Learning Iris Verification.

Sensors (Basel, Switzerland)
Biometric recognition technology has been widely used in various fields of society. Iris recognition technology, as a stable and convenient biometric recognition technology, has been widely used in security applications. However, the iris images coll...

TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity.

IEEE transactions on biomedical circuits and systems
Human brain cortex acts as a rich inspiration source for constructing efficient artificial cognitive systems. In this paper, we investigate to incorporate multiple brain-inspired computing paradigms for compact, fast and high-accuracy neuromorphic ha...

A Crop Growth Prediction Model Using Energy Data Based on Machine Learning in Smart Farms.

Computational intelligence and neuroscience
In the recent past, the agricultural industry has rapidly digitalized in the form of smart farms through the broad usage of data analysis and artificial intelligence. Commonly, high operating costs in a smart farm are primarily due to inefficient ene...

Edge-Aware Graph Neural Network for Multi-Hop Path Reasoning over Knowledge Base.

Computational intelligence and neuroscience
Multi-hop path reasoning over knowledge base aims at finding answer entities for an input question by walking along a path of triples from graph structure data, which is a crucial branch in the knowledge base question answering (KBQA) research field....