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Weather Data Analysis and Sensor Fault Detection Using An Extended IoT Framework with Semantics, Big Data, and Machine Learning
(IEEE, 2017)
In recent years, big data and Internet of Things (IoT) implementations started getting more attention. Researchers focused on developing big data analytics solutions using machine learning models. Machine learning is a ...
A Deep Learning based Stock Trading Model with 2-D CNN Trend Detection
(IEEE, 2017)
The success of convolutional neural networks in the field of computer vision has attracted the attention of many researchers from other fields. One of the research areas in which neural networks is actively used is financial ...
Deep Learning of Micro-Doppler Features for Aided and Unaided Gait Recognition
(IEEE, 2017)
Remote health monitoring is a topic that has gained increased interest as a way to improve the quality and reduce costs of health care, especially for the elderly. Falling is one of the leading causes for injury and death ...
An artificial neural network-based stock trading system using technical analysis and big data framework
(Association for Computing Machinery, Inc., 2017-04-13)
In this paper, a neural network-based stock price prediction and trading system using technical analysis indicators is presented. The model developed first converts the financial time series data into a series of buy-sell-hold ...
A Deep Neural-Network Based Stock Trading System Based on Evolutionary Optimized Technical Analysis Parameters
(ELSEVIER Science BV, 2017)
In this study, we propose a stock trading system based on optimized technical analysis parameters for creating buy-sell points using genetic algorithms. The model is developed utilizing Apache Spark big data platform. The ...
Estimation of parameters for the free-form machining with deep neural network
(IEEE, 2017)
Predictive Analytics is a crucial part of a Big Data application. Lately, developers have turned their attention to deep learning models due to their huge success in various implementations. Meanwhile, there is lack of ...
Automated Image Matching and New Readings for Cyrus the Great's 547 BC Campaign in the Nabonidus Chronicle (BM 35382 = ABC 7)
(Vandenhoeck & Ruprecht, 2017-12)
This article introduces an automated image matching technique called Scale Invariant Feature Transform (SIFT) as a tool to supplement the collation of problematic cuneiform signs. The Nabonidus Chronicle (II, 16), which ...
Feature diverse hierarchical classification of human gait with CW radar for assisted living
(Institution of Engineering and Technology, 2017-10-26)
Activity recognition and estimation of gait parameter are medically essential components of remote health monitoring systems that can improve quality of life, enable personalized treatments, acquire continual medical data ...
An ontology-based multi-agent virtual enterprise system (OMAVE): part 1: domain model<bold>l</bold>ing and rule management
(Taylor & Francis Inc., 2017)
New advancements in computers and information technologies have yielded novel ideas to create more effective virtual collaboration platforms for multiple enterprises. Virtual enterprise (VE) is a collaboration model between ...
An ontology-based multi-agent virtual enterprise system (OMAVE): part 2: partner selection
(Taylor & Francis Inc., 2017)
A virtual enterprise (VE) is a collaboration model between multiple business partners in a value chain. The VE model is particularly feasible and appropriate for small- and medium-sized enterprises (SMEs) and industrial ...
