Nome |
# |
Internet of Things in urban waste collection, file e384c42f-9e79-d4b2-e053-9f05fe0a1d67
|
434
|
Machine Learning and Optimization for Production Rescheduling in Industry 4.0, file e384c432-7e81-d4b2-e053-9f05fe0a1d67
|
345
|
An ICT-Based Reference Model for E-grocery in Smart Cities, file e384c42e-fe5f-d4b2-e053-9f05fe0a1d67
|
331
|
Waste collection in urban areas: a case study, file e384c430-2759-d4b2-e053-9f05fe0a1d67
|
301
|
Customized multi-period stochastic assignment problem for social engagement and opportunistic IoT, file e384c42f-6776-d4b2-e053-9f05fe0a1d67
|
256
|
Optimization for Networked Data in Environmental Urban Waste Collection: the ONDE-UWC project, file e384c42f-15ba-d4b2-e053-9f05fe0a1d67
|
133
|
New Valid Inequalities for the Two-Echelon Capacitated Vehicle Routing Problem, file e384c42f-998d-d4b2-e053-9f05fe0a1d67
|
131
|
Integrating sensors data in optimization methods for sustainable urban logistic, file e384c430-9c79-d4b2-e053-9f05fe0a1d67
|
127
|
Online Single-Machine Scheduling via Reinforcement Learning, file e384c433-9b94-d4b2-e053-9f05fe0a1d67
|
81
|
KPIs for Optimal Location of charging stations for Electric Vehicles: the Biella case-study, file e384c431-3d69-d4b2-e053-9f05fe0a1d67
|
63
|
The stochastic multi-path traveling salesman problem with dependent random travel costs., file e384c432-35e4-d4b2-e053-9f05fe0a1d67
|
47
|
Comparative analysis of models and performance indicators for optimal service facility location, file e384c432-9e5c-d4b2-e053-9f05fe0a1d67
|
44
|
Machine Learning for Variable Cost and Size Bin Packing Problem, file 20475384-673f-4fe8-b0fc-e2c163b5636e
|
41
|
Customized multi-period stochastic assignment problem for social engagement and opportunistic IoT, file e384c42f-e857-d4b2-e053-9f05fe0a1d67
|
41
|
Reinforcement Learning Algorithms for Online Single-Machine Scheduling., file e384c432-33df-d4b2-e053-9f05fe0a1d67
|
40
|
An Algorithm for the Optimal Waste Collection in Urban Areas, file e384c432-86ca-d4b2-e053-9f05fe0a1d67
|
33
|
Integrating sensors data in optimization methods for sustainable urban logistic, file e384c430-9c7a-d4b2-e053-9f05fe0a1d67
|
30
|
Evaluation of optimal charging station location for electric vehicles: an Italian case-study, file e384c432-6c04-d4b2-e053-9f05fe0a1d67
|
28
|
Integrating sensors data in optimization methods for sustainable urban logistic, file e384c432-7919-d4b2-e053-9f05fe0a1d67
|
27
|
Multi Period Assignment Problem for Social Engagement and Opportunistic IoT, file e384c431-77d9-d4b2-e053-9f05fe0a1d67
|
26
|
A Progressive Hedging Method for the Optimization of Social Engagement and Opportunistic IoT Problems, file e384c431-7437-d4b2-e053-9f05fe0a1d67
|
25
|
Mixing machine learning and optimization for the tactical capacity planning in last-mile delivery, file e384c433-d876-d4b2-e053-9f05fe0a1d67
|
21
|
Optimization Problems under Uncertainty in Smart Cities, file e384c432-9a12-d4b2-e053-9f05fe0a1d67
|
15
|
A chance-constraint approach for optimizing social engagement-based services, file e8071dba-f186-4c92-90a2-e6e12aacb5ec
|
13
|
Machine Learning heuristic for Variable Cost and Size Bin Packing Problem with Stochastic Items, file 7200494c-01cc-4708-98f8-e3c8c8573d97
|
9
|
A Decision Support System for Supporting Strategic Production Allocation in the Automotive Industry, file e384c434-98b0-d4b2-e053-9f05fe0a1d67
|
9
|
Solving assignment problems via Quantum Computing: A case-study in train seating arrangement, file 77239512-5870-43eb-bae9-1d34b186c0c4
|
7
|
An ICT-Based Reference Model for E-grocery in Smart Cities, file e384c42f-0180-d4b2-e053-9f05fe0a1d67
|
7
|
Solving assignment problems via Quantum Computing: A case-study in train seating arrangement, file d42b3371-ccde-46c7-a89e-2447c0895d16
|
6
|
Math‐based reinforcement learning for the adaptive budgeted influence maximization problem, file daa206ce-86cd-4ced-a4b1-29e3b4b6d47b
|
5
|
Machine Learning and Optimization for Production Rescheduling in Industry 4.0, file e384c433-cddc-d4b2-e053-9f05fe0a1d67
|
5
|
Consensus formation on heterogeneous networks, file f09b2674-333e-4224-95b0-f1d8f5fe2c67
|
5
|
Risk-averse Approaches for a Two-Stage Assembly-to-Order Problem, file 57e93e35-271d-44af-9292-aa0dfe480eed
|
4
|
Reinforcement learning approaches for the stochastic discrete lot-sizing problem on parallel machines, file 8b9d12e8-2f20-4fc6-bc00-d368429a888f
|
4
|
Consensus formation on heterogeneous networks, file c3bd9bb8-0603-4c09-930f-be05ecbc6602
|
4
|
Risk-averse Approaches for a Two-Stage Assembly-to-Order Problem, file cf3a8e38-2eec-480c-a8a7-f428e67f95da
|
4
|
A Progressive Hedging Method for the Optimization of Social Engagement and Opportunistic IoT Problems, file e384c431-90bc-d4b2-e053-9f05fe0a1d67
|
4
|
Evaluation of optimal charging station location for electric vehicles: an Italian case-study, file e384c434-6c41-d4b2-e053-9f05fe0a1d67
|
4
|
Rolling horizon policies for multi-stage stochastic assemble-to-order problems, file 2d3e08af-7dde-455d-afab-2dfb78d3a49e
|
3
|
Online Single-Machine Scheduling via Reinforcement Learning, file a777b7b1-202c-4550-84e7-0c90be43c868
|
3
|
Reinforcement Learning Algorithms for Online Single-Machine Scheduling., file e384c432-95bd-d4b2-e053-9f05fe0a1d67
|
3
|
Mixing machine learning and optimization for the tactical capacity planning in last-mile delivery, file e384c433-ba4e-d4b2-e053-9f05fe0a1d67
|
3
|
A reduced variable neighborhood search for the just in time job shop scheduling problem with sequence dependent setup times, file 7ad4c2c9-923a-48d5-a0b4-c20d1dcb55f2
|
2
|
Optimal Seating Assignment in the COVID-19 Era via Quantum Computing, file 7bd7c052-9197-4c30-8275-5750cfee822c
|
2
|
A combined deep-learning and transfer-learning approach for supporting social influence prediction, file 8e8ed9e0-2d1f-46e7-b4f4-16ea00546004
|
2
|
Smartphone Data Classification Technique for Detecting the Usage of Public or Private Transportation Modes, file 9f32339e-686b-41c1-9e02-759566096c95
|
2
|
New Valid Inequalities for the Two-Echelon Capacitated Vehicle Routing Problem, file e384c431-9603-d4b2-e053-9f05fe0a1d67
|
2
|
The stochastic multi-path traveling salesman problem with dependent random travel costs., file e384c433-8b21-d4b2-e053-9f05fe0a1d67
|
2
|
Combining deep reinforcement learning and multi-stage stochastic programming to address the supply chain inventory management problem, file f0f577e0-f2a4-45a8-95ea-ce7254f8843a
|
2
|
Reinforcement learning approaches for the stochastic discrete lot-sizing problem on parallel machines, file 04b0faf0-6b2a-4ebf-80e0-fbc1c319e530
|
1
|
Lyapunov Central Limit Theorem: Theoretical Properties and Applications in Big-Data-Populated Smart City Settings, file 685c4ac2-d31e-44f4-a13b-c07e0e4ef1cb
|
1
|
User Emotion Detection via Taxonomy Management: An Innovative System, file 7c86a077-440d-47da-a660-9c1d0d788fe6
|
1
|
Rolling horizon policies for multi-stage stochastic assemble-to-order problems, file a605cb5b-9272-444e-bd50-95233eca1063
|
1
|
Integrating sensors data in optimization methods for sustainable urban logistics, file ad68313f-aeed-48d8-9891-b2b6736bd41c
|
1
|
Optimal Seating Assignment in the COVID-19 Era via Quantum Computing, file c484646e-6208-4e95-9b08-97fa86648831
|
1
|
A chance-constraint approach for optimizing social engagement-based services, file d86428d1-bfa2-4ef5-b2cb-118d434eff2d
|
1
|
Sustainable mobility and user preferences by crowdsourcing data: the Open Agora project, file e384c431-83cd-d4b2-e053-9f05fe0a1d67
|
1
|
Multi Period Assignment Problem for Social Engagement and Opportunistic IoT, file e384c431-9604-d4b2-e053-9f05fe0a1d67
|
1
|
An innovative framework for supporting big atmospheric data analytics via clustering-based spatio-temporal analysis, file e384c433-cdde-d4b2-e053-9f05fe0a1d67
|
1
|
The polynomial robust knapsack problem, file e384c434-e70d-d4b2-e053-9f05fe0a1d67
|
1
|
Cyber-attack detection via non-linear prediction of IP addresses: an innovative big data analytics approach, file f239857f-62de-45eb-a7ab-810ebf894ca7
|
1
|
Totale |
2.748 |