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ORCIDAnnals 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, Hossam Hawash, Ripon K. Chakrabortty, Michael J. Ryan:
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, Hasan Hüseyin Turan:
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, Ipek Kazancoglu, Sachin Kumar Mangla, Aysun Kahraman, Yigit Kazançoglu:
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, Ranjan Chaudhuri, Demetris Vrontis, Thanos Papadopoulos:
Examining the impact of deep learning technology capability on manufacturing firms: moderating roles of technology turbulence and top management support. 163-183 - Jeongsub Choi, Mengmeng Zhu, Jihoon Kang, Myong K. Jeong:
Convolutional neural network based multi-input multi-output model for multi-sensor multivariate virtual metrology in semiconductor manufacturing. 185-201 - Zhaofu Hong, Yingjie Li, Yeming Gong, Wanying Chen:
A data-driven spatially-specific vaccine allocation framework for COVID-19. 203-226 - Wenhui Zhao, Tong Li, Danyang Xu, Zhaohua Wang:
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, Sewon Kim, Sungil Kim:
Multichannel convolution neural network for gas mixture classification. 261-295 - Md. Iftekharul Alam Efat, Petr Hájek, Mohammad Zoynul Abedin, Rahat Uddin Azad, Md. Al Jaber, Shuvra Aditya, Mohammad Kabir Hassan:
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, Sahbi Boubaker, Zied Ftiti, Waël Louhichi, Kais Tissaoui:
Forecasting commodity prices: empirical evidence using deep learning tools. 349-367 - A. S. M. Sohel Azad, Aziz Hayat, Huson Joher Ali Ahmed:
Does the energy sector serve as a hedge and safe haven? 369-395 - Ayse Sinem Uysal, Xiaoyue Li, John M. Mulvey:
End-to-end risk budgeting portfolio optimization with neural networks. 397-426 - Jiguang Wang, Yilun Zhang, Xinjie Xing, Yuanzhu Zhan, Wai Kin Victor Chan, Sunil Tiwari:
A data-driven system for cooperative-bus route planning based on generative adversarial network and metric learning. 427-453 - Davide La Torre, Danilo Liuzzi, Marco Repetto, Matteo Rocca:
Enhancing deep learning algorithm accuracy and stability using multicriteria optimization: an application to distributed learning with MNIST digits. 455-475 - Serge Nyawa, Dieudonné Tchuente, Samuel Fosso Wamba:
COVID-19 vaccine hesitancy: a social media analysis using deep learning. 477-515 - Yang Zou, Hecheng Wu, Yunqiang Yin, Lalitha Dhamotharan, Daqiang Chen, Aviral Kumar Tiwari:
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, Bhimaraya A. Metri:
Incorporating causality in energy consumption forecasting using deep neural networks. 537-572 - Carlos Galera-Zarco, Goulielmos Floros:
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, Roya Gholami, Ozren Despic, Athina Ioannou:
Improving the predictive accuracy of the cross-selling of consumer loans using deep learning networks. 613-630 - Nan Yang, Nikolaos Korfiatis, Dimitris Zissis, Konstantina Spanaki:
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, Hema Sundaramoorthi:
Management of resource sharing in emergency response using data-driven analytics. 663-692 - Teena Thomas, Sharan Srinivas, Chandrasekharan Rajendran:
Collaborative truck multi-drone delivery system considering drone scheduling and en route operations. 693-739 - Bingnan Yang, Xianhao Xu, Yeming Gong, Yacine Rekik:
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, Shan Yang:
High-dimensional stochastic control models for newsvendor problems and deep learning resolution. 789-811 - Sangho Lee, Jeongsub Choi, Youngdoo Son:
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, Malin Song:
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, Chong Wu, Eric W. T. Ngai:
Forecasting duty-free shopping demand with multisource data: a deep learning approach. 861-887 - Ilgin Gökasar, Alperen Timurogullari, Sarp Semih Özkan, Muhammet Deveci:
IDILIM: incident detection included linear management using connected autonomous vehicles. 889-908 - Abdelrahman Hosny, Sherief Reda:
Automatic MILP solver configuration by learning problem similarities. 909-936 - Lorenzo Federico, Ayoub Mounim, Pierpaolo D'Urso, Livia De Giovanni:
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, Giacomo Spigler:
Optimizing inland container shipping through reinforcement learning. 1025-1050 - G. Peter Zhang, Yusen Xia, Maohua Xie:
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, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya:
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, Ali Emrouznejad, Emran Mohammadi, Jafar Gheidar-Kheljani:
A novel robust network data envelopment analysis approach for performance assessment of mutual funds under uncertainty. 1149-1175 - Ajay Kumar, Tsan-Ming Choi, Samuel Fosso Wamba, Shivam Gupta, Kim Hua Tan:
Infection vulnerability stratification risk modelling of COVID-19 data: a deterministic SEIR epidemic model analysis. 1177-1203 - Antonios Georgantas, Michalis Doumpos, Constantin Zopounidis:
Robust optimization approaches for portfolio selection: a comparative analysis. 1205-1221 - M. Tanveer, Taniya Rajani, Reshma Rastogi, Yuan-Hai Shao, M. A. Ganaie:
Comprehensive review on twin support vector machines. 1223-1268 - Hashem Omrani, Arash Alizadeh, Ali Emrouznejad, Tamara Teplova:
Data envelopment analysis model with decision makers' preferences: a robust credibility approach. 1269-1306 - Arkajyoti Roy, Shaunak S. Dabadghao, Ahmadreza Marandi:
Value of intermediate imaging in adaptive robust radiotherapy planning to manage radioresistance. 1307-1328 - Scindhiya Laxmi, S. K. Gupta, Sumit Kumar:
Intuitionistic fuzzy least square twin support vector machines for pattern classification. 1329-1378 - Jie Wu, Lulu Shen, Ganggang Zhang, Zhixiang Zhou, Qingyuan Zhu:
Efficiency evaluation with data uncertainty. 1379-1403 - Ping Yan, Jun Pei, Ya Zhou, Panos M. Pardalos:
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, Chen Ling, Hongjin He, Liqun Qi:
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, Kiana Kheiri, Ali Sadeghi, Erfan Babaee Tirkolaee:
An extended robust mathematical model to project the course of COVID-19 epidemic in Iran. 1499-1523 - Jan Pablo Burgard, Carina Moreira Costa, Martin Schmidt:
Robustification of the k-means clustering problem and tailored decomposition methods: when more conservative means more accurate. 1525-1568 - Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu:
Natural language interactions enhanced by data visualization to explore insurance claims and manage risk. 1569-1587 - Levent Eriskin, Mumtaz Karatas:
Applying robust optimization to the shelter location-allocation problem: a case study for Istanbul. 1589-1635 - Maryam Sadeghloo, Saeed Emami, Ali Divsalar:
A Benders decomposition algorithm for the multi-mode resource-constrained multi-project scheduling problem with uncertainty. 1637-1677 - Umar Muhammad Modibbo, Srikant Gupta, Aquil Ahmed, Irfan Ali:
An integrated multi-objective multi-product inventory managed production planning problem under uncertain environment. 1679-1723 - Le Chang, Yanlin Shi:
A discussion on the robust vector autoregressive models: novel evidence from safe haven assets. 1725-1755 - Ranjan Chaudhuri, Sheshadri Chatterjee, Demetris Vrontis, Alkis Thrassou:
Adoption of robust business analytics for product innovation and organizational performance: the mediating role of organizational data-driven culture. 1757-1791 - Kanchan Jha, Sriparna Saha, Pratik Dutta:
Incorporation of gene ontology in identification of protein interactions from biomedical corpus: a multi-modal approach. 1793-1811 - Miriam F. Bongo, Charlle Lee Sy:
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
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