AIMC Topic: Models, Theoretical

Clear Filters Showing 441 to 450 of 1953 articles

Identification of Cardiac Patients Based on the Medical Conditions Using Machine Learning Models.

Computational intelligence and neuroscience
Chronic diseases are the most severe health concern today, and heart disease is one of them. Coronary artery disease (CAD) affects blood flow to the heart, and it is the most common type of heart disease which causes a heart attack. High blood pressu...

Hardware-in-the-loop implementation of an unknown input observer for synchronous reluctance motor.

ISA transactions
In this paper, we design a proportional integral observe for a nonlinear synchronous reluctance motor described by a Takagi-Sugeno multi-model. In this design, both states and unknown inputs are estimated simultaneously. First, the mathematical nonli...

Prediction of pH Value of Aqueous Acidic and Basic Deep Eutectic Solvent Using COSMO-RS σ Profiles' Molecular Descriptors.

Molecules (Basel, Switzerland)
The aim of this work was to develop a simple and easy-to-apply model to predict the pH values of deep eutectic solvents (DESs) over a wide range of pH values that can be used in daily work. For this purpose, the pH values of 38 different DESs were me...

Analyzing the determinants to accept a virtual assistant and use cases among cancer patients: a mixed methods study.

BMC health services research
BACKGROUND: Technological progress in artificial intelligence has led to the increasing popularity of virtual assistants, i.e., embodied or disembodied conversational agents that allow chatting with a technical system in a natural language. However, ...

Design and Research of an Articulated Tracked Firefighting Robot.

Sensors (Basel, Switzerland)
Aiming to improve the situation where a firefighting robot is affected by conditions of space and complex terrain, a small four-track, four-drive articulated tracked fire-extinguishing robot is designed, which can flexibly perform fire detection and ...

Harris Hawk Optimization: A Survey onVariants and Applications.

Computational intelligence and neuroscience
In this review, we intend to present a complete literature survey on the conception and variants of the recent successful optimization algorithm, Harris Hawk optimizer (HHO), along with an updated set of applications in well-established works. For th...

A Hybrid Machine Learning Approach for Structure Stability Prediction in Molecular Co-crystal Screenings.

Journal of chemical theory and computation
Co-crystals are a highly interesting material class as varying their components and stoichiometry in principle allows tuning supramolecular assemblies toward desired physical properties. The prediction of co-crystal structures represents a daunting ...

Model Analysis and Experimental Investigation of Soft Pneumatic Manipulator for Fruit Grasping.

Sensors (Basel, Switzerland)
With the superior ductility and flexibility brought by compliant bodies, soft manipulators provide a nondestructive manner to grasp delicate objects, which has been developing gradually as a rising focus of soft robots. However, the unexpected phenom...

Successfully and efficiently training deep multi-layer perceptrons with logistic activation function simply requires initializing the weights with an appropriate negative mean.

Neural networks : the official journal of the International Neural Network Society
The vanishing gradient problem (i.e., gradients prematurely becoming extremely small during training, thereby effectively preventing a network from learning) is a long-standing obstacle to the training of deep neural networks using sigmoid activation...

Model Predictive Control of a Novel Wheeled-Legged Planetary Rover for Trajectory Tracking.

Sensors (Basel, Switzerland)
Amid increasing demands for planetary exploration, wide-range autonomous exploration is still a great challenge for existing planetary rovers, which calls for new planetary rovers with novel locomotive mechanisms and corresponding control strategies....