A survey on river water quality modelling using artificial intelligence models: 2000–2020
There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …
anthropogenic activities. Last decades' research has immensely focussed on river basin …
[HTML][HTML] Recent advances in physical reservoir computing: A review
Reservoir computing is a computational framework suited for temporal/sequential data
processing. It is derived from several recurrent neural network models, including echo state …
processing. It is derived from several recurrent neural network models, including echo state …
Brain organoid reservoir computing for artificial intelligence
Brain-inspired computing hardware aims to emulate the structure and working principles of
the brain and could be used to address current limitations in artificial intelligence …
the brain and could be used to address current limitations in artificial intelligence …
[图书][B] Multivariate statistical machine learning methods for genomic prediction
This book is open access under a CC BY 4.0 license This open access book brings together
the latest genome base prediction models currently being used by statisticians, breeders …
the latest genome base prediction models currently being used by statisticians, breeders …
A review of artificial neural network models for ambient air pollution prediction
Research activity in the field of air pollution forecasting using artificial neural networks
(ANNs) has increased dramatically in recent years. However, the development of ANN …
(ANNs) has increased dramatically in recent years. However, the development of ANN …
A systematic review and taxonomy of explanations in decision support and recommender systems
With the recent advances in the field of artificial intelligence, an increasing number of
decision-making tasks are delegated to software systems. A key requirement for the success …
decision-making tasks are delegated to software systems. A key requirement for the success …
Reservoir computing using diffusive memristors
Reservoir computing (RC) is a framework that can extract features from a temporal input into
a higher‐dimension feature space. The reservoir is followed by a readout layer that can …
a higher‐dimension feature space. The reservoir is followed by a readout layer that can …
Ultra-short-term exogenous forecasting of photovoltaic power production using genetically optimized non-linear auto-regressive recurrent neural networks
Accurate and credible ultra-short-term photovoltaic (PV) power production prediction is very
important in short-term resource planning, electric power dispatching, and operational …
important in short-term resource planning, electric power dispatching, and operational …
[HTML][HTML] A new machine learning method for predicting systolic and diastolic blood pressure using clinical characteristics
A Shrivastava, M Chakkaravarthy, MA Shah - Healthcare Analytics, 2023 - Elsevier
Hypertension describes elevated blood pressure, which significantly impacts cardiovascular
diseases. Typically, a sphygmomanometer, a cuff-like device, is used to measure a patient's …
diseases. Typically, a sphygmomanometer, a cuff-like device, is used to measure a patient's …
An artificial neural network based decision support system for energy efficient ship operations
Reducing fuel consumption of ships against volatile fuel prices and greenhouse gas
emissions resulted from international shipping are the challenges that the industry faces …
emissions resulted from international shipping are the challenges that the industry faces …