AIMC Topic: Algorithms

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A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-Based Semantic Scene Understanding Using Multi-Modal Sensor Fusion.

Sensors (Basel, Switzerland)
Simultaneous Localisation and Mapping (SLAM) is one of the fundamental problems in autonomous mobile robots where a robot needs to reconstruct a previously unseen environment while simultaneously localising itself with respect to the map. In particul...

Employment of Ensemble Machine Learning Methods for Human Activity Recognition.

Journal of healthcare engineering
The endeavor to detect human activities and behaviors is targeted as a real-time detection mechanism that tends to predict the form of human motions and actions. Though sensors like accelerometer and gyroscopes are noticeable in human motion detectio...

Artificial intelligence in adrenal imaging: A critical review of current applications.

Diagnostic and interventional imaging
In the elective field of adrenal imaging, artificial intelligence (AI) can be used for adrenal lesion detection, characterization, hypersecreting syndrome management and patient follow-up. Although a perfect AI tool that includes all required steps f...

Comparison of CT noise reduction performances with deep learning-based, conventional, and combined denoising algorithms.

Medical engineering & physics
Conventional noise reduction algorithms have been used in image processing for a very long time, but recently, deep learning-based algorithms have been shown to significantly reduce the noise in CT images. In this paper, a comparison of CT noise redu...

Detection of Tip-Burn Stress on Lettuce Grown in an Indoor Environment Using Deep Learning Algorithms.

Sensors (Basel, Switzerland)
Lettuce grown in indoor farms under fully artificial light is susceptible to a physiological disorder known as tip-burn. A vital factor that controls plant growth in indoor farms is the ability to adjust the growing environment to promote faster crop...

Precision Medicine Approaches with Metabolomics and Artificial Intelligence.

International journal of molecular sciences
Recent technological innovations in the field of mass spectrometry have supported the use of metabolomics analysis for precision medicine. This growth has been allowed also by the application of algorithms to data analysis, including multivariate and...

Optimal selective floor cleaning using deep learning algorithms and reconfigurable robot hTetro.

Scientific reports
Floor cleaning robots are widely used in public places like food courts, hospitals, and malls to perform frequent cleaning tasks. However, frequent cleaning tasks adversely impact the robot's performance and utilize more cleaning accessories (such as...

Synthetic neuromorphic computing in living cells.

Nature communications
Computational properties of neuronal networks have been applied to computing systems using simplified models comprising repeated connected nodes, e.g., perceptrons, with decision-making capabilities and flexible weighted links. Analogously to their r...

Vegetation detection using vegetation indices algorithm supported by statistical machine learning.

Environmental monitoring and assessment
In precision agriculture (PA), the usage of image processing, artificial intelligence, data analysis, and internet of things provides an increase in efficiency, energy, and time saving. In image processing-based applications, vegetation detection, in...

Logistics Finance Collaborative Development Model Based on Machine Learning.

Computational intelligence and neuroscience
In the context of rapid social development, a logistics financial model that can meet the financing needs of small and medium-sized enterprises and has high returns is widely used in all aspects of the logistics financial industry. Logistics finance ...