default search action
Annals of Operations Research, Volume 339
Volume 339, Number 1-2, August 2024
- Ajay Kumar, Alexandra Brintrup, Eric W. T. Ngai, Ravi Shankar, Myong K. Jeong:
Deep learning applications in operations research. 1-2 - Mohamed Abdel-Basset
, Victor Chang
Deep learning approaches for human-centered IoT applications in smart indoor environments: a contemporary survey. 3-51 - Suyuan Luo, Tsan-Ming Choi
Great partners: how deep learning and blockchain help improve business operations together. 53-78 - Fuat Kosanoglu, Mahir Atmis
A deep reinforcement learning assisted simulated annealing algorithm for a maintenance planning problem. 79-110 - Anh Tuan Bui
Root cause analysis of manufacturing variation from optical scanning data. 111-130 - Sule Birim
The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods. 131-161 - Sheshadri Chatterjee
Examining the impact of deep learning technology capability on manufacturing firms: moderating roles of technology turbulence and top management support. 163-183 - Jeongsub Choi
Convolutional neural network based multi-input multi-output model for multi-sensor multivariate virtual metrology in semiconductor manufacturing. 185-201 - Zhaofu Hong
A data-driven spatially-specific vaccine allocation framework for COVID-19. 203-226 - Wenhui Zhao
A global forecasting method of heterogeneous household short-term load based on pre-trained autoencoder and deep-LSTM model. 227-259 - YongKyung Oh, Chiehyeon Lim, Junghye Lee
Multichannel convolution neural network for gas mixture classification. 261-295 - Md. Iftekharul Alam Efat, Petr Hájek
Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales. 297-328 - Jing Ma, Xiaoyu Guo, Xufeng Zhao
Identifying purchase intention through deep learning: analyzing the Q &D text of an E-Commerce platform. 329-348 - Hachmi Ben Ameur
Forecasting commodity prices: empirical evidence using deep learning tools. 349-367 - A. S. M. Sohel Azad, Aziz Hayat
Does the energy sector serve as a hedge and safe haven? 369-395 - Ayse Sinem Uysal
End-to-end risk budgeting portfolio optimization with neural networks. 397-426 - Jiguang Wang, Yilun Zhang, Xinjie Xing
A data-driven system for cooperative-bus route planning based on generative adversarial network and metric learning. 427-453 - Davide La Torre
Enhancing deep learning algorithm accuracy and stability using multicriteria optimization: an application to distributed learning with MNIST digits. 455-475 - Serge Nyawa
COVID-19 vaccine hesitancy: a social media analysis using deep learning. 477-515 - Yang Zou, Hecheng Wu, Yunqiang Yin
An improved transformer model with multi-head attention and attention to attention for low-carbon multi-depot vehicle routing problem. 517-536 - Kshitij Sharma, Yogesh K. Dwivedi
Incorporating causality in energy consumption forecasting using deep neural networks. 537-572 - Carlos Galera-Zarco
A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making. 573-612 - Noureddine Boustani, Ali Emrouznejad
Improving the predictive accuracy of the cross-selling of consumer loans using deep learning networks. 613-630 - Nan Yang, Nikolaos Korfiatis
Incorporating topic membership in review rating prediction from unstructured data: a gradient boosting approach. 631-662 - Jifan Zhang, Salih Tutun, Samira Fazel Anvaryazdi, Mohammadhossein Amini, Durai Sundaramoorthi
Management of resource sharing in emergency response using data-driven analytics. 663-692 - Teena Thomas
Collaborative truck multi-drone delivery system considering drone scheduling and en route operations. 693-739 - Bingnan Yang, Xianhao Xu, Yeming Gong
Data-driven optimization models for inventory and financing decisions in online retailing platforms. 741-764 - C. Gary Mena, Kristof Coussement, Koen W. De Bock, Arno De Caigny, Stefan Lessmann
Exploiting time-varying RFM measures for customer churn prediction with deep neural networks. 765-787 - Jingtang Ma
High-dimensional stochastic control models for newsvendor problems and deep learning resolution. 789-811 - Sangho Lee
Efficient visibility algorithm for high-frequency time-series: application to fault diagnosis with graph convolutional network. 813-833 - Wei Fan, Chunxia Zhu, Lijun Fu, Charbel José Chiappetta Jabbour, Zhiyang Shen
Role of land use in China's urban energy consumption: based on a deep clustering network and decomposition analysis. 835-859 - Dong Zhang, Pengkun Wu
Forecasting duty-free shopping demand with multisource data: a deep learning approach. 861-887 - Ilgin Gökasar
IDILIM: incident detection included linear management using connected autonomous vehicles. 889-908 - Abdelrahman Hosny
Automatic MILP solver configuration by learning problem similarities. 909-936 - Lorenzo Federico
Complex networks and deep learning for copper flow across countries. 937-963 - Amin Abbasi-Pooya, Michael T. Lash
The third party logistics provider freight management problem: a framework and deep reinforcement learning approach. 965-1024 - Vid Tomljenovic, Yasemin Merzifonluoglu
Optimizing inland container shipping through reinforcement learning. 1025-1050 - G. Peter Zhang, Yusen Xia
Intermittent demand forecasting with transformer neural networks. 1051-1072
Volume 339, Number 3, August 2024
- Panos M. Pardalos, Hossein Moosaei, Milan Hladík, M. Tanveer:
An introduction to robust data analysis and its applications. 1073-1075 - Roohallah Alizadehsani
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). 1077-1118 - Suyun Liu, Luís Nunes Vicente
The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning. 1119-1148 - Pejman Peykani
A novel robust network data envelopment analysis approach for performance assessment of mutual funds under uncertainty. 1149-1175 - Ajay Kumar
Infection vulnerability stratification risk modelling of COVID-19 data: a deterministic SEIR epidemic model analysis. 1177-1203 - Antonios Georgantas, Michalis Doumpos
Robust optimization approaches for portfolio selection: a comparative analysis. 1205-1221 - M. Tanveer
Comprehensive review on twin support vector machines. 1223-1268 - Hashem Omrani
Data envelopment analysis model with decision makers' preferences: a robust credibility approach. 1269-1306 - Arkajyoti Roy
Value of intermediate imaging in adaptive robust radiotherapy planning to manage radioresistance. 1307-1328 - Scindhiya Laxmi, S. K. Gupta
Intuitionistic fuzzy least square twin support vector machines for pattern classification. 1329-1378 - Jie Wu, Lulu Shen, Ganggang Zhang
Efficiency evaluation with data uncertainty. 1379-1403 - Ping Yan, Jun Pei
When platform exploits data analysis advantage: change of OEM-led supply chain structure. 1405-1431 - Chun-Na Li, Pei-Wei Ren, Yan-Ru Guo, Ya-Fen Ye, Yuan-Hai Shao
Regularized linear discriminant analysis based on generalized capped l2,q-norm. 1433-1459 - Zhiyuan Zhang
A tensor train approach for internet traffic data completion. 1461-1479 - Ja'far Dehghanpour, Nezam Mahdavi-Amiri
Orthogonal nonnegative matrix factorization problems for clustering: A new formulation and a competitive algorithm. 1481-1497 - Reza Lotfi
An extended robust mathematical model to project the course of COVID-19 epidemic in Iran. 1499-1523 - Jan Pablo Burgard
Robustification of the k-means clustering problem and tailored decomposition methods: when more conservative means more accurate. 1525-1568 - Md. Rafiqul Islam
Natural language interactions enhanced by data visualization to explore insurance claims and manage risk. 1569-1587 - Levent Eriskin
Applying robust optimization to the shelter location-allocation problem: a case study for Istanbul. 1589-1635 - Maryam Sadeghloo, Saeed Emami
A Benders decomposition algorithm for the multi-mode resource-constrained multi-project scheduling problem with uncertainty. 1637-1677 - Umar Muhammad Modibbo
An integrated multi-objective multi-product inventory managed production planning problem under uncertain environment. 1679-1723 - Le Chang
A discussion on the robust vector autoregressive models: novel evidence from safe haven assets. 1725-1755 - Ranjan Chaudhuri, Sheshadri Chatterjee
Adoption of robust business analytics for product innovation and organizational performance: the mediating role of organizational data-driven culture. 1757-1791 - Kanchan Jha
Incorporation of gene ontology in identification of protein interactions from biomedical corpus: a multi-modal approach. 1793-1811 - Miriam F. Bongo
Can diverse and conflicting interests of multiple stakeholders be balanced? 1813-1837 - Natalia M. Markovich
Extremal properties of evolving networks: local dependence and heavy tails. 1839-1870
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-26 00:36 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: