AI Medical Compendium Topic

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Dynamic Research on Nonlinear Locomotion of Inchworm-Inspired Soft Crawling Robot.

Soft robotics
Inchworm-inspired bionic soft crawling robot (SCR) composed of soft materials possesses preeminent active compliant deformation ability and has obvious advantages over traditional hard robots when moving in a confined space, which is up-and-coming ca...

Prediction of monthly precipitation using various artificial models and comparison with mathematical models.

Environmental science and pollution research international
Precipitation (PP) prediction is an interesting topic in the meteorology or hydrology field since it is directly related to agriculture, the management of water resources in hydrologic basins, and water scarcity. Selecting the right model to predict ...

Machine Learning-Enabled NIR Spectroscopy. Part 2: Workflow for Selecting a Subset of Samples from Publicly Accessible Data.

AAPS PharmSciTech
An increasingly large dataset of pharmaceutics disciplines is frequently challenging to comprehend. Since machine learning needs high-quality data sets, the open-source dataset can be a place to start. This work presents a systematic method to choose...

Non Linear Control System for Humanoid Robot to Perform Body Language Movements.

Sensors (Basel, Switzerland)
In social robotics, especially with regard to direct interactions between robots and humans, the robotic movements of the body, arms and head must make an adequate displacement to guarantee an adequate interaction, both from a functional and social p...

A multiattribute group decision-making method based on a new aggregation operator and the means and variances of interval-valued intuitionistic fuzzy values.

Scientific reports
The development of information measures associated with interval-valued intuitionistic fuzzy values (IVIFVs) has been an important research area over the past few decades. In the literature, the existing decision -making method using IVIFVs has some ...

Evaluation of product conceptual design based on Pythagorean fuzzy set under big data environment.

Scientific reports
The concept design evaluation phase of the new product launch is extremely important. However, current evaluation information relies mainly on the a priori knowledge of decision makers and is subjective and ambiguous. For this reason, a conceptual de...

The Tacotron-Based Signal Synthesis Method for Active Sonar.

Sensors (Basel, Switzerland)
The importance of active sonar is increasing due to the quieting of submarines and the increase in maritime traffic. However, the multipath propagation of sound waves and the low signal-to-noise ratio due to multiple clutter make it difficult to dete...

Physics-informed machine learning methods for biomass gasification modeling by considering monotonic relationships.

Bioresource technology
Machine learning methods have recently shown a broad application prospect in biomass gasification modeling. However, a significant drawback of the machine learning approaches is their poor physical interpretability when relying on limited experimenta...

Artificial intelligence technologies in bioprocess: Opportunities and challenges.

Bioresource technology
Bioprocess control and optimization are crucial for tapping the metabolic potential of microorganisms, and which have made great progress in the past decades. Combination of the current control and optimization technologies with the latest computer-b...

Deep convolutional neural network with sine cosine algorithm based wastewater treatment systems.

Environmental research
Wastewater treatment systems are essential in today's business to meet the ever-increasing requirements of environmental regulations while also limiting the environmental impact of the sector's discharges. A new control and management information sys...