GIS aided sustainable urban road management with a unifying queueing and neural network model
With the tide of electrifying urban transportation systems by introducing electric vehicles, the
differences between fuel vehicles and electric vehicles in driving styles and strategies to …
differences between fuel vehicles and electric vehicles in driving styles and strategies to …
[BOOK][B] Analysis and synthesis of computer systems
Analysis and Synthesis of Computer Systems presents a broad overview of methods that are
used to evaluate the performance of computer systems and networks, manufacturing …
used to evaluate the performance of computer systems and networks, manufacturing …
Multi-class pattern classification using neural networks
G Ou, YL Murphey - Pattern recognition, 2007 - Elsevier
Multi-class pattern classification has many applications including text document
classification, speech recognition, object recognition, etc. Multi-class pattern classification …
classification, speech recognition, object recognition, etc. Multi-class pattern classification …
Neural networks in big data and Web search
W Serrano - Data, 2018 - mdpi.com
As digitalization is gradually transforming reality into Big Data, Web search engines and
recommender systems are fundamental user experience interfaces to make the generated …
recommender systems are fundamental user experience interfaces to make the generated …
Intelligent intrusion detection in low-power IoTs
Security and privacy of data are one of the prime concerns in today's Internet of Things (IoT).
Conventional security techniques like signature-based detection of malware and regular …
Conventional security techniques like signature-based detection of malware and regular …
Sensitivity versus accuracy in multiclass problems using memetic pareto evolutionary neural networks
This paper proposes a multiclassification algorithm using multilayer perceptron neural
network models. It tries to boost two conflicting main objectives of multiclassifiers: a high …
network models. It tries to boost two conflicting main objectives of multiclassifiers: a high …
A general maximal margin hyper-sphere SVM for multi-class classification
T Ke, X Ge, F Yin, L Zhang, Y Zheng, C Zhang… - Expert Systems with …, 2024 - Elsevier
Traditional SVM algorithms for multi-class (k> 2 classes) classification tasks include “one-
against-one”,“one-against-rest”, and “one-against-one-against-rest”, which build k (k− 1)/2 or …
against-one”,“one-against-rest”, and “one-against-one-against-rest”, which build k (k− 1)/2 or …
Audio related quality of experience evaluation in urban transportation environments with brain inspired graph learning
The fast advancement of urban transportation systems in the recent decades has on one
hand improved efficiency in traffic control and management, yet on the other hand brought …
hand improved efficiency in traffic control and management, yet on the other hand brought …
Intelligent diagnosis of open and short circuit faults in electric drive inverters for real-time applications
MA Masrur, Z Chen, Y Murphey - IET Power Electronics, 2010 - IET
This study presents a machine learning technique for fault diagnostics in induction motor
drives. A normal model and an extensive range of faulted models for the inverter–motor …
drives. A normal model and an extensive range of faulted models for the inverter–motor …
Self-aware networks and QoS
Novel user-oriented networked systems will simultaneously exploit a variety of wired and
wireless communication modalities to offer different levels of quality of service (QoS) …
wireless communication modalities to offer different levels of quality of service (QoS) …