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Analyzing the Check-In Behavior of Visitors through Machine Learning Model by Mining Social Network's Big Data.
Computational and mathematical methods in medicine
Nov 30, 2021
The current article paper is aimed at assessing and comparing the seasonal check-in behavior of individuals in Shanghai, China, using location-based social network (LBSN) data and a variety of spatiotemporal analytic techniques. The article demonstra...
The Short-Term Load Forecasting Using an Artificial Neural Network Approach with Periodic and Nonperiodic Factors: A Case Study of Tai'an, Shandong Province, China.
Computational intelligence and neuroscience
Oct 26, 2021
Accurate electricity load forecasting is an important prerequisite for stable electricity system operation. In this paper, it is found that daily and weekly variations are prominent by the power spectrum analysis of the historical loads collected hou...
Application of Neural Network Model Based on Multispecies Evolutionary Genetic Algorithm to Planning and Design of Diverse Plant Landscape.
Computational intelligence and neuroscience
Oct 18, 2021
In order to explore the feasibility of applying neural network model to landscape planning, based on the multispecies evolutionary genetic algorithm, a neural network model is proposed in this paper for the system design of diverse plant landscape pl...
Simulation and Prediction of Fungal Community Evolution Based on RBF Neural Network.
Computational and mathematical methods in medicine
Oct 8, 2021
Simulation and prediction of the scale change of fungal community. First, using the experimental data of a variety of fungal decomposition activities, a mathematical model of the decomposition rate and the relationship between the bacterial species w...
A Class-Imbalanced Deep Learning Fall Detection Algorithm Using Wearable Sensors.
Sensors (Basel, Switzerland)
Sep 29, 2021
Falling represents one of the most serious health risks for elderly people; it may cause irreversible injuries if the individual cannot obtain timely treatment after the fall happens. Therefore, timely and accurate fall detection algorithm research i...
Detection of Safe Passage for Trains at Rail Level Crossings Using Deep Learning.
Sensors (Basel, Switzerland)
Sep 18, 2021
The detection of obstacles at rail level crossings (RLC) is an important task for ensuring the safety of train traffic. Traffic control systems require reliable sensors for determining the state of anRLC. Fusion of information from a number of sensor...
Characterizing and forecasting the responses of tropical forest leaf phenology to El Nino by machine learning algorithms.
PloS one
Aug 26, 2021
Climate change and global warming have serious adverse impacts on tropical forests. In particular, climate change may induce changes in leaf phenology. However, in tropical dry forests where tree diversity is high, species responses to climate change...
Capabilities of deep learning models on learning physical relationships: Case of rainfall-runoff modeling with LSTM.
The Science of the total environment
Aug 25, 2021
This study investigates the relationships which deep learning methods can identify between the input and output data. As a case study, rainfall-runoff modeling in a snow-dominated watershed by means of a long short-term memory (LSTM) network is selec...
Ambient air pollution and cardiovascular disease rate an ANN modeling: Yazd-Central of Iran.
Scientific reports
Aug 20, 2021
This study was aimed to investigate the air pollutants impact on heart patient's hospital admission rates in Yazd for the first time. Modeling was done by time series, multivariate linear regression, and artificial neural network (ANN). During 5 year...
A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions.
Nature communications
Jul 9, 2021
Deep learning algorithms trained on instances that violate the assumption of being independent and identically distributed (i.i.d.) are known to experience destructive interference, a phenomenon characterized by a degradation in performance. Such a v...
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