|
|
|
|
|
Fekhr Eddine Keddous and Amir Nakib
Convolutional neural networks (CNNs) have powerful representation learning capabilities by automatically learning and extracting features directly from inputs. In classification applications, CNN models are typically composed of: convolutional layers, po...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hadeel Alsolai, Shahnawaz Qureshi, Syed Muhammad Zeeshan Iqbal, Asif Ameer, Dania Cheaha, Lawrence Edward Henesey and Seppo Karrila
An increasing problem in today?s society is the spiraling number of people suffering from various sleep disorders. The research results presented in this paper support the use of a novel method that employs techniques from the classification of sleep dis...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abul Azad and Xin Wang
Land use and transportation planning have a significant impact on the performance of cities? traffic conditions and the quality of people?s lives. The changing characteristics of land use will affect and challenge how a city is able to manage, organize, ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Berk A. Alpay, David Wanik, Peter Watson, Diego Cerrai, Guannan Liang and Emmanouil Anagnostou
Thunderstorms are complex weather phenomena that cause substantial power outages in a short period. This makes thunderstorm outage prediction challenging using eventwise outage prediction models (OPMs), which summarize the storm dynamics over the entire ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiujuan Xiang, Guangluan Xu, Xingyu Fu, Yang Wei, Li Jin and Lei Wang
Current popular abstractive summarization is based on an attentional encoder-decoder framework. Based on the architecture, the decoder generates a summary according to the full text that often results in the decoder being interfered by some irrelevant in...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sabur Ajibola Alim, Nahrul Khair B. Alang Md. Rashid, Md. Mozasser Rahman
Pág. 113 - 118
The level crossing (LX) or railway crossing being an intersection between a public road and a railway line, can be controlled actively or passively. Sound recognition can be used to actively control a level crossing. A system is proposed in this study fo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sergi Mas-Pujol, Esther Salamí and Enric Pastor
Meeting the demand with the available airspace capacity is one of the most challenging problems faced by Air Traffic Management. Nowadays, this collaborative Demand?Capacity Balancing process often ends up enforcing Air Traffic Flow Management regulation...
ver más
|
|
|
|
|
|
|
|
|
|
|
Furkan Kayim,Atinç Yilmaz
Pág. 16 - 24
In ancient times, trade was carried out by barter. With the use of money and similar means, the concept of financial instruments emerged. Financial instruments are tools and documents used in the economy. Financial instruments can be foreign exchange rat...
ver más
|
|
|
|
|
|
|
|
|
|
|
(1) Md Asifuzzaman Jishan (Department of Statistics, Technische Universität Dortmund, Germany) (2) Khan Raqib Mahmud (University of Liberal Arts Bangladesh, Bangladesh) (3) Abul Kalam Al Azad (University of Liberal Arts Bangladesh, Bangladesh) (4) Md Shahabub Alam (Department of Statistics, Technische Universität Dortmund, Germany) (5) Anif Minhaz Khan (Department of Statistics, Technische Universität Dortmund, Germany)
Pág. 109 - 122
Automated image to text generation is a computationally challenging computer vision task which requires sufficient comprehension of both syntactic and semantic meaning of an image to generate a meaningful description. Until recent times, it has been stud...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ran Li, Hui Sun, Xue Wei, Weiwen Ta and Haiying Wang
Real-time and accurate state-of-charge estimation performs an important role in the smooth operation of various electric vehicle battery management systems. Neural network theory represents one of the most effective and commonly used methods of SOC predi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yepeng Cheng, Zuren Liu and Yasuhiko Morimoto
Traditional time series forecasting techniques can not extract good enough sequence data features, and their accuracies are limited. The deep learning structure SeriesNet is an advanced method, which adopts hybrid neural networks, including dilated causa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Euclides Carlos Pinto Neto, Derick Moreira Baum, Jorge Rady de Almeida, Jr., João Batista Camargo, Jr. and Paulo Sergio Cugnasca
Currently, the increasing number of daily flights emphasizes the importance of air transportation. Furthermore, Air Traffic Management (ATM) enables air carriers to operate safely and efficiently through the multiple services provided. Advanced analytic ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sarhang Sorguli and Husam Rjoub
Energy accounting is a system for regularly measuring, analyzing, and reporting the energy use of various activities. This is done to increase energy efficiency and monitor the impact of energy usage on the environment. Primary energy accounting is now d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kang Liu, Longyun Kang and Di Xie
Accurate state of health (SOH) estimation is critical to the operation, maintenance, and replacement of lithium-ion batteries (LIBs), which have penetrated almost every aspect of our life. This paper introduces a new approach to accurately estimate the S...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammad Mustafa Taye
In recent years, deep learning (DL) has been the most popular computational approach in the field of machine learning (ML), achieving exceptional results on a variety of complex cognitive tasks, matching or even surpassing human performance. Deep learnin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hussein Abdel-Jaber, Disha Devassy, Azhar Al Salam, Lamya Hidaytallah and Malak EL-Amir
Deep learning uses artificial neural networks to recognize patterns and learn from them to make decisions. Deep learning is a type of machine learning that uses artificial neural networks to mimic the human brain. It uses machine learning methods such as...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaoxu Niu, Junwei Ma, Yankun Wang, Junrong Zhang, Hongjie Chen and Huiming Tang
The proposed decomposition-ensemble learning model can be efficiently used to enhance the prediction accuracy of landslide displacement prediction and can also be extended to other difficult forecasting tasks in the geosciences with extremely complex non...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ratiranjan Jena, Biswajeet Pradhan and Abdullah M. Alamri
The eastern region of India, including the coastal state of Odisha, is a moderately seismic-prone area under seismic zones II and III. However, no major studies have been conducted on earthquake probability (EPA) and hazard assessment (EHA) in Odisha. Th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lu Han, Xiaohong Jiao and Zhao Zhang
A hybrid electric vehicle (HEV) is a product that can greatly alleviate problems related to the energy crisis and environmental pollution. However, replacing such a battery will increase the cost of usage before the end of the life of a HEV. Thus, resear...
ver más
|
|
|
|
|
|
|
|
|
|
|
Daqian Wei, Bo Wang, Gang Lin, Dichen Liu, Zhaoyang Dong, Hesen Liu and Yilu Liu
This paper documents the condition-based maintenance (CBM) of power transformers, the analysis of which relies on two basic data groups: structured (e.g., numeric and categorical) and unstructured (e.g., natural language text narratives) which accounts f...
ver más
|
|
|
|
|
|