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Reveal the hidden layer via entity embedding in traffic prediction
(
Elsevier B.V.
, 2019 , Conference Paper)
The neural network-based models have been widely used in traffic prediction. They have improved accuracy and efficiency in traffic flow, speed, passenger flow, and delay. Many variables are considered to predict traffic ...
Using pavements to generate electricity
(
Elsevier B.V.
, 2019 , Conference Paper)
As part of developing a safe, efficient, and sustainable transportation infrastructure, health monitoring of pavements and bridges, as well as the monitoring of real-time roadway conditions for safety, have become increasingly ...
Leveraging utilization as performance metric for CDN enabled energy efficient internet of things
(
Elsevier B.V.
, 2019 , Article)
The exponential increase in the Internet of Things (IoT) has drastically augmented the need for computing and storage resources. IoT devices generate massive data that requires to be efficiently stored and disseminated for ...
Nonlinear stochastic modeling for optimal dispatch of distributed energy resources in active distribution grids including reactive power
(
Elsevier B.V.
, 2019 , Article)
This paper deals with energy storage system (ESS) in active distribution networks. The purpose is to install ESSs on the grid to minimize network losses. The problem is expressed as an optimization programming to minimize ...
Unsupervised learning approach for web application auto-decomposition into microservices
(
Elsevier Inc.
, 2019 , Article)
Nowadays, large monolithic web applications are manually decomposed into microservices for many reasons including adopting a modern architecture to ease maintenance and increase reusability. However, the existing approaches ...
Reinforcement learning-based control of drug dosing for cancer chemotherapy treatment
(
Elsevier Inc.
, 2017 , Article)
The increasing threat of cancer to human life and the improvement in survival rate of this disease due to effective treatment has promoted research in various related fields. This research has shaped clinical trials and ...
PyGOP: A Python library for Generalized Operational Perceptron algorithms
(
Elsevier B.V.
, 2019 , Article)
PyGOP provides a reference implementation of existing algorithms using Generalized Operational Perceptron (GOP), a recently proposed artificial neuron model. The implementation adopts a user-friendly interface while allowing ...
Global reverse supply chain design for solid waste recycling under uncertainties and carbon emission constraint
(
Elsevier Ltd
, 2017 , Article)
The emergence of concerns over environmental protection, resource conservation as well as the development of logistics operations and manufacturing technology has led several countries to implement formal collection and ...
Performance evaluation of time-frequency image feature sets for improved classification and analysis of non-stationary signals: Application to newborn EEG seizure detection
(
Elsevier B.V.
, 2017 , Article)
This study demonstrates that a time-frequency (TF) image pattern recognition approach offers significant advantages over standard signal classification methods that use t-domain only or f-domain only features. Two approaches ...
A new nano-power trigger circuit for battery-less power management electronics in energy harvesting systems
(
Elsevier B.V.
, 2017 , Article)
This paper presents a solution for battery-less power management circuits for micro-power energy converters, allowing energy harvesting systems to operate under continuous and intermittent conditions. The proposed trigger ...