AIMC Topic:
Models, Theoretical

Clear Filters Showing 1361 to 1370 of 1797 articles

Field study analysis of the influences of deworming regimens and housing conditions on parasites and sperm output in 21 European boar studs.

Veterinary journal (London, England : 1997)
The current study reports the parasitological results of a quality control audit in 21 European boar studs. Field investigations were performed over a 2-year period (2012-2013) during the winter and spring. From each stud, an average of 30 (range, 25...

Robotic pilot study for analysing spasticity: clinical data versus healthy controls.

Journal of neuroengineering and rehabilitation
BACKGROUND: Spasticity is a motor disorder that causes significant disability and impairs function. There are no definitive parameters that assess spasticity and there is no universally accepted definition. Spasticity evaluation is important in deter...

Artificial Neural Networks-Based Software for Measuring Heat Collection Rate and Heat Loss Coefficient of Water-in-Glass Evacuated Tube Solar Water Heaters.

PloS one
Measurements of heat collection rate and heat loss coefficient are crucial for the evaluation of in service water-in-glass evacuated tube solar water heaters. However, conventional measurement requires expensive detection devices and undergoes a seri...

Robot-based assessment of motor and proprioceptive function identifies biomarkers for prediction of functional independence measures.

Journal of neuroengineering and rehabilitation
BACKGROUND: Neurological impairments following stroke impact the ability of individuals to perform daily activities, although the relative impact of individual impairments is not always clear. Recovery of sensorimotor function following stroke can va...

An Analytic Model for the Success Rate of a Robotic Actuator System in Hitting Random Targets.

Sensors (Basel, Switzerland)
Autonomous robotic systems are increasingly being used in a wide range of applications such as precision agriculture, medicine, and the military. These systems have common features which often includes an action by an "actuator" interacting with a ta...

Prediction of municipal solid waste generation using nonlinear autoregressive network.

Environmental monitoring and assessment
Most of the developing countries have solid waste management problems. Solid waste strategic planning requires accurate prediction of the quality and quantity of the generated waste. In developing countries, such as Malaysia, the solid waste generati...

Extremely Randomized Machine Learning Methods for Compound Activity Prediction.

Molecules (Basel, Switzerland)
Speed, a relatively low requirement for computational resources and high effectiveness of the evaluation of the bioactivity of compounds have caused a rapid growth of interest in the application of machine learning methods to virtual screening tasks....

Forecasting Natural Gas Prices Using Wavelets, Time Series, and Artificial Neural Networks.

PloS one
Following the unconventional gas revolution, the forecasting of natural gas prices has become increasingly important because the association of these prices with those of crude oil has weakened. With this as motivation, we propose some modified hybri...

Information Dissemination of Public Health Emergency on Social Networks and Intelligent Computation.

Computational intelligence and neuroscience
Due to the extensive social influence, public health emergency has attracted great attention in today's society. The booming social network is becoming a main information dissemination platform of those events and caused high concerns in emergency ma...