On the public citation graph

A multi-pattern deep fusion model for short-term bus passenger flow forecasting

https://doi.org/10.1016/j.asoc.2017.05.011

0 signed · 144 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/atr.1332openalex-snapshot

Automated Box–Jenkins forecasting tool with an application for passenger demand in urban rail systems

inferredcites →https://doi.org/10.1002/atr.5670400203openalex-snapshot

Short‐term travel speed prediction models in car navigation systems

inferredcites →https://doi.org/10.1007/978-3-642-53917-6_15openalex-snapshot

Deep Architecture for Traffic Flow Prediction

inferredcites →https://doi.org/10.1007/s11269-016-1474-8openalex-snapshot

Deep Feature Learning Architectures for Daily Reservoir Inflow Forecasting

inferredcites →https://doi.org/10.1007/s12351-015-0198-5openalex-snapshot

A hybrid model for forecasting the volume of passenger flows on Serbian railways

inferredcites →https://doi.org/10.1016/j.asoc.2011.08.045openalex-snapshot

Small-time scale network traffic prediction based on flexible neural tree

inferredcites →https://doi.org/10.1016/j.asoc.2014.05.028openalex-snapshot

A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data

inferredcites →https://doi.org/10.1016/j.asoc.2014.06.047openalex-snapshot

Seasonal and trend time series forecasting based on a quasi-linear autoregressive model

inferredcites →https://doi.org/10.1016/j.asoc.2014.10.022openalex-snapshot

Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm

inferredcites →https://doi.org/10.1016/j.eswa.2008.02.071openalex-snapshot

Neural network based temporal feature models for short-term railway passenger demand forecasting

inferredcites →https://doi.org/10.1016/j.ins.2016.01.082openalex-snapshot

Deep learning approach for active classification of electrocardiogram signals

inferredcites →https://doi.org/10.1016/j.jairtraman.2014.01.009openalex-snapshot

Short-term forecasting of air passenger by using hybrid seasonal decomposition and least squares support vector regression approaches

inferredcites →https://doi.org/10.1016/j.jhydrol.2015.11.011openalex-snapshot

Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models

inferredcites →https://doi.org/10.1016/j.neucom.2015.03.085openalex-snapshot

A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system

inferredcites →https://doi.org/10.1016/j.patcog.2011.04.032openalex-snapshot

Fast affinity propagation clustering: A multilevel approach

inferredcites →https://doi.org/10.1016/j.patrec.2014.01.008openalex-snapshot

A review of unsupervised feature learning and deep learning for time-series modeling

inferredcites →https://doi.org/10.1016/j.trb.2012.03.006openalex-snapshot

Arterial travel time forecast with streaming data: A hybrid approach of flow modeling and machine learning

inferredcites →https://doi.org/10.1016/j.trc.2011.06.009openalex-snapshot

Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks

inferredcites →https://doi.org/10.1016/j.trc.2013.10.010openalex-snapshot

Analysis of subway station capacity with the use of queueing theory

inferredcites →https://doi.org/10.1016/j.trc.2013.12.008openalex-snapshot

Predicting short-term bus passenger demand using a pattern hybrid approach

inferredcites →https://doi.org/10.1016/j.trc.2014.02.006openalex-snapshot

Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification

inferredcites →https://doi.org/10.1016/j.trc.2014.03.016openalex-snapshot

Short-term forecasting of high-speed rail demand: A hybrid approach combining ensemble empirical mode decomposition and gray support vector machine with real-world applications in China

inferredcites →https://doi.org/10.1016/j.ymssp.2016.02.007openalex-snapshot

Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals

inferredcites →https://doi.org/10.1016/j.ymssp.2016.02.064openalex-snapshot

Extracting repetitive transients for rotating machinery diagnosis using multiscale clustered grey infogram

inferredcites →https://doi.org/10.1057/jors.1971.52openalex-snapshot

Time Series Analysis Forecasting and Control

inferredcites →https://doi.org/10.1061/(asce)he.1943-5584.0001101openalex-snapshot

Additive Model for Monthly Reservoir Inflow Forecast

inferredcites →https://doi.org/10.1080/07350015.1995.10524599openalex-snapshot

Comparing Predictive Accuracy

inferredcites →https://doi.org/10.1093/bioinformatics/btm414openalex-snapshot

Clustering by soft-constraint affinity propagation: applications to gene-expression data

inferredcites →https://doi.org/10.1109/tits.2014.2311123openalex-snapshot

Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning

inferredcites →https://doi.org/10.1126/science.1103197openalex-snapshot

Sustainable Hydrogen Production

inferredcites →https://doi.org/10.1126/science.1136800openalex-snapshot

Clustering by Passing Messages Between Data Points

inferredcites →https://doi.org/10.11591/telkomnika.v11i12.3096openalex-snapshot

Wavelet Neural Network-based Short-Term Passenger Flow Forecasting on Urban Rail Transit

inferredcites →https://doi.org/10.1162/neco.2006.18.7.1527openalex-snapshot

A Fast Learning Algorithm for Deep Belief Nets

inferredcites →https://doi.org/10.1364/ao.51.002656openalex-snapshot

Adaptive affinity propagation with spectral angle mapper for semi-supervised hyperspectral band selection

inferredcites →https://doi.org/10.14569/ijacsa.2016.070357openalex-snapshot

Performance Evaluation of Affinity Propagation Approaches on Data Clustering

inferredcites →https://doi.org/10.1515/itms-2015-0008openalex-snapshot

Transport Simulation Model Calibration with Two-Step Cluster Analysis Procedure

inferredcites →https://doi.org/10.1561/2200000006openalex-snapshot

Learning Deep Architectures for AI

inferredcites →https://doi.org/10.2307/2988198openalex-snapshot

Time Series Analysis: Forecasting and Control.

inferredcites →https://doi.org/10.3386/t0169openalex-snapshot

Comparing Predictive Accuracy

inferredcites →https://doi.org/10.3846/16484142.2016.1139623openalex-snapshot

SARIMA modelling approach for railway passenger flow forecasting

inferredcites →https://doi.org/10.3926/jiem.699openalex-snapshot

A train dispatching model based on fuzzy passenger demand forecasting during holidays

inferredcites →https://doi.org/10.5555/1756006.1953039openalex-snapshot

Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

inferredcites →https://doi.org/10.7551/mitpress/7503.003.0024openalex-snapshot

Greedy Layer-Wise Training of Deep Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4514450openalex-extracted

Cas2s: A Generic Deep Learning Model for Short-Term Metro Passenger Flow Prediction

inferred← citeshttps://doi.org/10.1002/dac.5351openalex-snapshot

Intelligent passenger demand prediction‐based rerouting for comfort perception in public bus transport systems

inferred← citeshttps://doi.org/10.1007/978-3-030-29743-5_14openalex-snapshot

Detection of the Patterns in the Daily Route Choices of the Urban Social Transport System Clients Based on the Decoupling of Passengers’ Preferences Between the Levels of Uncertainty

inferred← citeshttps://doi.org/10.1007/978-3-030-29743-5_9openalex-snapshot

Big Data in the Stochastic Model of the Passengers Flow at the Megalopolis Transport System Stops

inferred← citeshttps://doi.org/10.1007/978-3-030-32456-8_73openalex-snapshot

Short-Term Bus Passenger Flow Forecast Based on the Multi-feature Gradient Boosting Decision Tree

inferred← citeshttps://doi.org/10.1007/978-3-030-95112-2_24openalex-snapshot

Analysis of the Reachability of Stops in the Route Network of Urban Passenger Transport

inferred← citeshttps://doi.org/10.1007/978-3-030-95112-2_26openalex-snapshot

Algorithm for Generating Passenger Traffic at Stops for the Urban Transport System Model

inferred← citeshttps://doi.org/10.1007/978-981-15-6648-6_3openalex-snapshot

Predicting Passenger Flow in BTS and MTS Using Hybrid Stacked Auto-encoder and Softmax Regression

inferred← citeshttps://doi.org/10.1007/978-981-33-4359-7_38openalex-snapshot

Multi-step Time Series Forecasting of Bus Passenger Flow with Deep Learning Methods

inferred← citeshttps://doi.org/10.1007/s00521-018-3470-9openalex-snapshot

RETRACTED ARTICLE: A deep learning approach on short-term spatiotemporal distribution forecasting of dockless bike-sharing system

inferred← citeshttps://doi.org/10.1007/s10489-023-04508-5openalex-snapshot

Learning spatial-temporal dynamics and interactivity for short-term passenger flow prediction in urban rail transit

inferred← citeshttps://doi.org/10.1007/s10845-017-1388-1openalex-snapshot

A comparison of dimension reduction techniques for support vector machine modeling of multi-parameter manufacturing quality prediction

inferred← citeshttps://doi.org/10.1007/s11042-018-6374-xopenalex-snapshot

Origin and destination forecasting on dockless shared bicycle in a hybrid deep-learning algorithms

inferred← citeshttps://doi.org/10.1007/s11042-022-12306-3openalex-snapshot

Passenger flow prediction in bus transportation system using deep learning

inferred← citeshttps://doi.org/10.1007/s11063-018-9914-5openalex-snapshot

Daily Urban Water Demand Forecasting Based on Chaotic Theory and Continuous Deep Belief Neural Network

inferred← citeshttps://doi.org/10.1007/s11116-023-10385-1openalex-snapshot

Comparative analysis of deep-learning-based models for hourly bus passenger flow forecasting

inferred← citeshttps://doi.org/10.1007/s11227-024-06331-2openalex-snapshot

A hybrid neural network for urban rail transit short-term flow prediction

inferred← citeshttps://doi.org/10.1007/s12469-024-00368-5openalex-snapshot

Forecasting public transit ridership amidst COVID-19: a machine learning approach

inferred← citeshttps://doi.org/10.1007/s40864-022-00166-xopenalex-snapshot

Short-Term Subway Inbound Passenger Flow Prediction Based on AFC Data and PSO-LSTM Optimized Model

inferred← citeshttps://doi.org/10.1016/j.aap.2020.105744openalex-snapshot

Ranking contributors to traffic crashes on mountainous freeways from an incomplete dataset: A sequential approach of multivariate imputation by chained equations and random forest classifier

inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110740openalex-snapshot

Short-term urban rail transit passenger flow forecasting based on fusion model methods using univariate time series

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.123091openalex-snapshot

Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123646openalex-snapshot

Identifying, Analyzing, and forecasting commuting patterns in urban public Transportation: A review

inferred← citeshttps://doi.org/10.1016/j.jclepro.2019.03.253openalex-snapshot

Hourly PM2.5 concentration forecast using stacked autoencoder model with emphasis on seasonality

inferred← citeshttps://doi.org/10.1016/j.jrtpm.2022.100311openalex-snapshot

Learn traffic as a signal: Using ensemble empirical mode decomposition to enhance short-term passenger flow prediction in metro systems

inferred← citeshttps://doi.org/10.1016/j.jum.2022.05.002openalex-snapshot

AI-based neural network models for bus passenger demand forecasting using smart card data

inferred← citeshttps://doi.org/10.1016/j.physa.2023.128567openalex-snapshot

A separate modelling approach for short-term bus passenger flow prediction based on behavioural patterns: A hybrid decision tree method

inferred← citeshttps://doi.org/10.1016/j.retrec.2024.101445openalex-snapshot

Fare revenue forecast in public transport: A comparative case study

inferred← citeshttps://doi.org/10.1016/j.tbs.2025.101179openalex-snapshot

Real-time Bus Arrival Information Service: Optimal Dissemination Value Considering Non-travel Activities

inferred← citeshttps://doi.org/10.1016/j.tranpol.2025.06.009openalex-snapshot

Sharing, collaborating, and benchmarking to advance travel demand research: A demonstration of short-term ridership prediction

inferred← citeshttps://doi.org/10.1016/j.trc.2022.103963openalex-snapshot

Estimating on-board passenger comfort in public transport vehicles using incomplete automatic passenger counting data

inferred← citeshttps://doi.org/10.1016/j.trpro.2020.09.010openalex-snapshot

Assessing multimodal mobility trends using heterogeneous data sources: a case study for supporting sustainable policy goals within the region of Algarve

inferred← citeshttps://doi.org/10.1049/iet-its.2018.5542openalex-snapshot

Crowding prediction on mass rapid transit systems using a weighted bidirectional recurrent neural network

inferred← citeshttps://doi.org/10.1049/iet-its.2020.0054openalex-snapshot

Hybrid model for predicting anomalous large passenger flow in urban metros

inferred← citeshttps://doi.org/10.1049/itr2.12018openalex-snapshot

A two‐stage method for bus passenger load prediction using automatic passenger counting data

inferred← citeshttps://doi.org/10.1061/jtepbs.0000653openalex-snapshot

Prediction of Public Bus Passenger Flow Using Spatial–Temporal Hybrid Model of Deep Learning

inferred← citeshttps://doi.org/10.1061/jtepbs.teeng-7496openalex-snapshot

Short-Time Bus Route Passenger Flow Prediction Based on a Secondary Decomposition Integration Method

inferred← citeshttps://doi.org/10.1109/access.2020.2966770openalex-snapshot

Growth Scale Prediction of Big Data for Information Systems Based on a Deep Learning SAEP Method

inferred← citeshttps://doi.org/10.1109/access.2020.2967867openalex-snapshot

Forecasting Bus Passenger Flows by Using a Clustering-Based Support Vector Regression Approach

inferred← citeshttps://doi.org/10.1109/access.2020.2989334openalex-snapshot

A Multi-Objective Bus Rapid Transit Energy Saving Dispatching Optimization Considering Multiple Types of Vehicles

inferred← citeshttps://doi.org/10.1109/bdicn58493.2023.00035openalex-snapshot

Bus passenger flow prediction using BO-optimized XGBoost

inferred← citeshttps://doi.org/10.1109/cyberc49757.2020.00055openalex-snapshot

Daily Passenger Volume Prediction in the Bus Transportation System using ARIMAX Model with Big Data

inferred← citeshttps://doi.org/10.1109/dasc/picom/datacom/cyberscitec.2018.00054openalex-snapshot

Anomaly Prediction in Passenger Flow with Knowledge Transfer Method

inferred← citeshttps://doi.org/10.1109/icetci57876.2023.10176978openalex-snapshot

Prediction of Short-term Passenger Flow in the Metro Station with CNN-LSTM Model

inferred← citeshttps://doi.org/10.1109/icite56321.2022.10101458openalex-snapshot

Ensemble Empirical Mode Decomposition-Based Gated Recurrent Unit Model for Short-Term Metro Passenger Flow Prediction

inferred← citeshttps://doi.org/10.1109/phm.2017.8079165openalex-snapshot

Deep neural network for manufacturing quality prediction

inferred← citeshttps://doi.org/10.1109/sdpc.2017.52openalex-snapshot

Deep Neural Network for PM2.5 Pollution Forecasting Based on Manifold Learning

inferred← citeshttps://doi.org/10.1109/sdpc.2017.57openalex-snapshot

Manufacturing Quality Prediction Based on Two-Step Feature Learning Approach

inferred← citeshttps://doi.org/10.1109/sdpc.2018.8664936openalex-snapshot

Deep Belief Network Based Multi-Dimensional Phase Space for Short-Term Wind Speed Forecasting

inferred← citeshttps://doi.org/10.1109/smc.2019.8914189openalex-snapshot

Data-Driven Abnormal Behavior Identification System: A Survey for “In-out” in the Same Subway Station

inferred← citeshttps://doi.org/10.1109/tits.2019.2897377openalex-snapshot

Bioinspired Computational Intelligence and Transportation Systems: A Long Road Ahead

inferred← citeshttps://doi.org/10.1109/tits.2019.2924971openalex-snapshot

Deep Multi-Scale Convolutional LSTM Network for Travel Demand and Origin-Destination Predictions

inferred← citeshttps://doi.org/10.1109/tits.2020.3032843openalex-snapshot

Identifying Abnormal Riding Behavior in Urban Rail Transit: A Survey on “In-Out” in the Same Subway Station

inferred← citeshttps://doi.org/10.1109/tits.2022.3148116openalex-snapshot

Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework

inferred← citeshttps://doi.org/10.1109/tits.2023.3345872openalex-snapshot

Exploring Bus Stop Mobility Pattern: A Multi-Pattern Deep Learning Prediction Framework

inferred← citeshttps://doi.org/10.1109/tmc.2024.3435436openalex-snapshot

Travel Demand Modeling and Estimation for High-Dimensional Mobility

inferred← citeshttps://doi.org/10.1109/wcica.2018.8630722openalex-snapshot

A new hybrid approach for short-term water demand time series forecasting

inferred← citeshttps://doi.org/10.1111/mice.13179openalex-snapshot

A traffic state prediction method based on spatial–temporal data mining of floating car data by using autoformer architecture

inferred← citeshttps://doi.org/10.1155/2019/8943291openalex-snapshot

Mass Rapid Transit System Passenger Traffic Forecast Using a Re-Sample Recurrent Neural Network

inferred← citeshttps://doi.org/10.1155/2020/2143921openalex-snapshot

An Improved Deep Spatial-Temporal Hybrid Model for Bus Speed Prediction

inferred← citeshttps://doi.org/10.1155/2020/3180628openalex-snapshot

Short-Term Passenger Flow Forecast of Rail Transit Station Based on MIC Feature Selection and ST-LightGBM considering Transfer Passenger Flow

inferred← citeshttps://doi.org/10.1155/2020/5947802openalex-snapshot

A Short-Turn Dispatching Strategy to Improve the Reliability of Bus Operation

inferred← citeshttps://doi.org/10.1155/2020/6694186openalex-snapshot

An Ensemble Learning Model for Short-Term Passenger Flow Prediction

inferred← citeshttps://doi.org/10.1155/2020/7917353openalex-snapshot

A Novel Hierarchical Hybrid Model for Short-Term Bus Passenger Flow Forecasting

inferred← citeshttps://doi.org/10.1155/2020/8824797openalex-snapshot

Identifying Key Bus Stations Based on Complex Network Theory considering the Hybrid Influence and Passenger Flow: A Case Study of Beijing, China

inferred← citeshttps://doi.org/10.1155/2024/5368577openalex-snapshot

An Efficient Approach for Identifying Potential Bus Passenger Demand Based on Multisource Data

inferred← citeshttps://doi.org/10.1177/1687814019864465openalex-snapshot

Roundness and positioning deviation prediction in single point incremental forming using deep learning approaches

inferred← citeshttps://doi.org/10.1371/journal.pone.0222365openalex-snapshot

Empirical mode decomposition based long short-term memory neural network forecasting model for the short-term metro passenger flow

inferred← citeshttps://doi.org/10.21203/rs.3.rs-1921429/v1openalex-snapshot

Applying the Deep Neural Network to Estimate Future Trend and Uncertainty of Rainfall under Climate Change

inferred← citeshttps://doi.org/10.21203/rs.3.rs-850178/v1openalex-snapshot

An Adaptive Decomposition Ensemble Learning Approach for Metro Passenger Flow Forecasting

inferred← citeshttps://doi.org/10.2139/ssrn.5139665openalex-snapshot

Bus Information Service: Optimal Arrival Time Release Considering En Route Behaviour

inferred← citeshttps://doi.org/10.24143/2073-5529-2022-1-33-41openalex-snapshot

Analyzing data on public transport network structure (case of Volgograd)

inferred← citeshttps://doi.org/10.26102/2310-6018/2020.31.4.004openalex-snapshot

Application of mathematical and statistical methods of research to analyze the opinion of residents about the organization of urban parking space on the example of the city of Volgograd

inferred← citeshttps://doi.org/10.3233/jifs-169527openalex-snapshot

Autoencoder-based deep belief regression network for air particulate matter concentration forecasting

inferred← citeshttps://doi.org/10.3233/jifs-169531openalex-snapshot

Fuzzy feature fusion and multimodal degradation prognosis for mechanical components

inferred← citeshttps://doi.org/10.3233/jifs-169547openalex-snapshot

Predicting the remaining useful life of rolling element bearings using locally linear fusion regression

inferred← citeshttps://doi.org/10.3233/jifs-169553openalex-snapshot

Short-term wind speed forecasting using variational mode decomposition and support vector regression

inferred← citeshttps://doi.org/10.3233/jifs-169554openalex-snapshot

Variable neighborhood search for integrated determination of charge batching and casting start time in steel plants

inferred← citeshttps://doi.org/10.3233/jifs-169555openalex-snapshot

Daily PM 10 concentration forecasting based on multiscale fusion support vector regression

inferred← citeshttps://doi.org/10.32604/jbd.2023.038249openalex-snapshot

Hybrid Model for Short-Term Passenger Flow Prediction in Rail Transit

inferred← citeshttps://doi.org/10.3311/pptr.22252openalex-snapshot

Benchmarking Travel Time and Demand Prediction Methods Using Large-scale Metro Smart Card Data

inferred← citeshttps://doi.org/10.3390/app132011272openalex-snapshot

Multi-Scale Residual Depthwise Separable Convolution for Metro Passenger Flow Prediction

inferred← citeshttps://doi.org/10.3390/atmos15030371openalex-snapshot

A Deep Learning-Based Downscaling Method Considering the Impact on Typhoons to Future Precipitation in Taiwan

inferred← citeshttps://doi.org/10.3390/atmos16020165openalex-snapshot

Integration of Deep Learning Neural Networks and Feature-Extracted Approach for Estimating Future Regional Precipitation

inferred← citeshttps://doi.org/10.3390/en12060984openalex-snapshot

Early Fault Detection of Wind Turbines Based on Operational Condition Clustering and Optimized Deep Belief Network Modeling

inferred← citeshttps://doi.org/10.3390/math10091428openalex-snapshot

Deep Learning XAI for Bus Passenger Forecasting: A Use Case in Spain

inferred← citeshttps://doi.org/10.3390/math13142316openalex-snapshot

A Spatiotemporal Convolutional Neural Network Model Based on Dual Attention Mechanism for Passenger Flow Prediction

inferred← citeshttps://doi.org/10.3390/s20123555openalex-snapshot

Passenger Flow Forecasting in Metro Transfer Station Based on the Combination of Singular Spectrum Analysis and AdaBoost-Weighted Extreme Learning Machine

inferred← citeshttps://doi.org/10.3390/s21175950openalex-snapshot

An Improved STL-LSTM Model for Daily Bus Passenger Flow Prediction during the COVID-19 Pandemic

inferred← citeshttps://doi.org/10.3390/su10010085openalex-snapshot

Manufacturing Quality Prediction Using Intelligent Learning Approaches: A Comparative Study

inferred← citeshttps://doi.org/10.3390/su11195281openalex-snapshot

Analysis of Prediction Accuracy under the Selection of Optimum Time Granularity in Different Metro Stations

inferred← citeshttps://doi.org/10.3390/su12187249openalex-snapshot

Travel Characteristics Analysis and Passenger Flow Prediction of Intercity Shuttles in the Pearl River Delta on Holidays

inferred← citeshttps://doi.org/10.3390/su131810473openalex-snapshot

The Economy and Policy Incorporated Computing System for Social Energy and Power Consumption Analysis

inferred← citeshttps://doi.org/10.3390/w11020351openalex-snapshot

Hourly Urban Water Demand Forecasting Using the Continuous Deep Belief Echo State Network

inferred← citeshttps://doi.org/10.3390/w14172727openalex-snapshot

Application of a New Architecture Neural Network in Determination of Flocculant Dosing for Better Controlling Drinking Water Quality

inferred← citeshttps://doi.org/10.3846/transport.2021.14343openalex-snapshot

STUDY ON DYNAMIC INFLUENCE OF PASSENGER FLOW ON INTELLIGENT BUS TRAVEL SERVICE MODEL

inferred← citeshttps://doi.org/10.3846/transport.2025.20517openalex-snapshot

Forecasting short-term passenger flow on a bus route: a splitting–integrating method based on passenger travel behavior

inferred← citeshttps://doi.org/10.3934/era.2022217openalex-snapshot

Analysis of bus travel characteristics and predictions of elderly passenger flow based on smart card data

inferred← citeshttps://doi.org/10.3934/era.2024034openalex-snapshot

Hybrid short-term traffic flow prediction based on the effect of non-linear sequence noise

inferred← citeshttps://doi.org/10.46299/j.isjea.20230203.10openalex-snapshot

Методи рішення задач з організації пасажирських перевезень автомобільним транспортом

inferred← citeshttps://doi.org/10.48550/arxiv.2002.07575openalex-snapshot

AdaEnsemble Learning Approach for Metro Passenger Flow Forecasting

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.