Ann. Oper. Res.

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Publications

volume 339, number 1-2, 2024

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. Ann. Oper. Res. 339 (1-2) (2024)
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. Ann. Oper. Res. 339 (1-2) (2024)
Nan Yang, Nikolaos Korfiatis, Dimitris Zissis, Konstantina Spanaki
Incorporating topic membership in review rating prediction from unstructured data: a gradient boosting approach. Ann. Oper. Res. 339 (1-2) (2024)
Abdelrahman Hosny, Sherief Reda
Automatic MILP solver configuration by learning problem similarities. Ann. Oper. Res. 339 (1-2) (2024)
Ilgin Gökasar, Alperen Timurogullari, Sarp Semih Özkan, Muhammet Deveci
IDILIM: incident detection included linear management using connected autonomous vehicles. Ann. Oper. Res. 339 (1-2) (2024)
YongKyung Oh, Chiehyeon Lim, Junghye Lee, Sewon Kim, Sungil Kim
Multichannel convolution neural network for gas mixture classification. Ann. Oper. Res. 339 (1-2) (2024)
Zhaofu Hong, Yingjie Li, Yeming Gong, Wanying Chen
A data-driven spatially-specific vaccine allocation framework for COVID-19. Ann. Oper. Res. 339 (1-2) (2024)
Teena Thomas, Sharan Srinivas, Chandrasekharan Rajendran
Collaborative truck multi-drone delivery system considering drone scheduling and en route operations. Ann. Oper. Res. 339 (1-2) (2024)
A. S. M. Sohel Azad, Aziz Hayat, Huson Joher Ali Ahmed
Does the energy sector serve as a hedge and safe haven? Ann. Oper. Res. 339 (1-2) (2024)
Ajay Kumar, Alexandra Brintrup, Eric W. T. Ngai, Ravi Shankar, Myong K. Jeong
Deep learning applications in operations research. Ann. Oper. Res. 339 (1-2) (2024)
Lorenzo Federico, Ayoub Mounim, Pierpaolo D'Urso, Livia De Giovanni
Complex networks and deep learning for copper flow across countries. Ann. Oper. Res. 339 (1-2) (2024)
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. Ann. Oper. Res. 339 (1-2) (2024)
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. Ann. Oper. Res. 339 (1-2) (2024)
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. Ann. Oper. Res. 339 (1-2) (2024)
Jingtang Ma, Shan Yang
High-dimensional stochastic control models for newsvendor problems and deep learning resolution. Ann. Oper. Res. 339 (1-2) (2024)
Fuat Kosanoglu, Mahir Atmis, Hasan Hüseyin Turan
A deep reinforcement learning assisted simulated annealing algorithm for a maintenance planning problem. Ann. Oper. Res. 339 (1-2) (2024)
Serge Nyawa, Dieudonné Tchuente, Samuel Fosso Wamba
COVID-19 vaccine hesitancy: a social media analysis using deep learning. Ann. Oper. Res. 339 (1-2) (2024)
G. Peter Zhang, Yusen Xia, Maohua Xie
Intermittent demand forecasting with transformer neural networks. Ann. Oper. Res. 339 (1-2) (2024)
Sangho Lee, Jeongsub Choi, Youngdoo Son
Efficient visibility algorithm for high-frequency time-series: application to fault diagnosis with graph convolutional network. Ann. Oper. Res. 339 (1-2) (2024)
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. Ann. Oper. Res. 339 (1-2) (2024)
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. Ann. Oper. Res. 339 (1-2) (2024)
Ayse Sinem Uysal, Xiaoyue Li, John M. Mulvey
End-to-end risk budgeting portfolio optimization with neural networks. Ann. Oper. Res. 339 (1-2) (2024)
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. Ann. Oper. Res. 339 (1-2) (2024)
Hachmi Ben Ameur, Sahbi Boubaker, Zied Ftiti, Waël Louhichi, Kais Tissaoui
Forecasting commodity prices: empirical evidence using deep learning tools. Ann. Oper. Res. 339 (1-2) (2024)

volume 339, number 3, 2024