Distributed scheduling problems in intelligent manufacturing systems
Currently, manufacturing enterprises face increasingly fierce market competition due to the
various demands of customers and the rapid development of economic globalization …
various demands of customers and the rapid development of economic globalization …
Traffic prediction using multifaceted techniques: A survey
Road transportation is the largest and complex nonlinear entity of the traffic management
system. Accurate prediction of traffic-related information is necessary for an effective …
system. Accurate prediction of traffic-related information is necessary for an effective …
Decomposition-based multi-objective optimization for energy-aware distributed hybrid flow shop scheduling with multiprocessor tasks
This paper addresses the Energy-Aware Distributed Hybrid Flow Shop Scheduling Problem
with Multiprocessor Tasks (EADHFSPMT) by considering two objectives simultaneously, ie …
with Multiprocessor Tasks (EADHFSPMT) by considering two objectives simultaneously, ie …
Network traffic prediction model considering road traffic parameters using artificial intelligence methods in VANET
SS Sepasgozar, S Pierre - IEEE Access, 2022 - ieeexplore.ieee.org
Vehicular Ad hoc Networks (VANETs) are established on vehicles that are intelligent and
can have Vehicle-to-Vehicle (V2V) and Vehicle-to-Road Side Units (V2R) communications …
can have Vehicle-to-Vehicle (V2V) and Vehicle-to-Road Side Units (V2R) communications …
Network-wide traffic flow estimation with insufficient volume detection and crowdsourcing data
With the rapid development of urbanization and modernization, it is increasingly crucial to
sense network-wide traffic. Network-wide traffic volume information is of great benefit for …
sense network-wide traffic. Network-wide traffic volume information is of great benefit for …
Short-term traffic flow prediction using the modified elman recurrent neural network optimized through a genetic algorithm
A Sadeghi-Niaraki, P Mirshafiei, M Shakeri… - IEEE …, 2020 - ieeexplore.ieee.org
Traffic stream determining is an essential part of the intelligent transportation management
system. Precise prediction of traffic flow provides a basis for other tasks, like forecasting …
system. Precise prediction of traffic flow provides a basis for other tasks, like forecasting …
A recurrent neural network for urban long-term traffic flow forecasting
This paper investigates the use of recurrent neural network to predict urban long-term traffic
flows. A representation of the long-term flows with related weather and contextual …
flows. A representation of the long-term flows with related weather and contextual …
Convolutional long-short term memory network with multi-head attention mechanism for traffic flow prediction
Y Wei, H Liu - Sensors, 2022 - mdpi.com
Accurate predictive modeling of traffic flow is critically important as it allows transportation
users to make wise decisions to circumvent traffic congestion regions. The advanced …
users to make wise decisions to circumvent traffic congestion regions. The advanced …
IoT sensor data analysis and fusion applying machine learning and meta-heuristic approaches
Combination of meta-heuristics approaches and machine learning techniques have
revolutionized the field of Internet of Things (IoT) based smart monitoring applications …
revolutionized the field of Internet of Things (IoT) based smart monitoring applications …
Data-driven spatial-temporal prediction of electric vehicle load profile considering charging behavior
Accurately predicting the spatial-temporal distribution of electric vehicles (EVs) load is of
great significance to the optimal dispatching and safe operation of the power grid. This …
great significance to the optimal dispatching and safe operation of the power grid. This …