| Nome |
# |
|
Different Perspectives of a Factory of the Future: An Overview, file e31e124d-b19b-987f-e053-3705fe0a095a
|
438
|
|
An Algorithm to Predict E-Bike Power Consumption Based on Planned Routes, file e31e1250-66cf-987f-e053-3705fe0a095a
|
401
|
|
A User-Aware and Semantic Approach for Enterprise Search, file e31e124d-735e-987f-e053-3705fe0a095a
|
358
|
|
A Survey of the Use of Software Agents in Digital Factories, file e31e124d-c86a-987f-e053-3705fe0a095a
|
297
|
|
An adaptive agent-based system for deregulated smart grids, file e31e124b-fea2-987f-e053-3705fe0a095a
|
281
|
|
A Self-healing Architecture based on RAINBOW for Industrial Usage, file e31e124b-d23a-987f-e053-3705fe0a095a
|
262
|
|
Dynamic digital factories for agile supply chains: An architectural approach, file e31e1250-278c-987f-e053-3705fe0a095a
|
256
|
|
Building self-adaptive systems by adaptation patterns integrated into agent methodologies, file e31e124c-a8e4-987f-e053-3705fe0a095a
|
252
|
|
MOMIS: Exploiting agents to support information integration, file e31e124b-ecee-987f-e053-3705fe0a095a
|
231
|
|
EU H2020 MSCA RISE Project FIRST - “virtual Factories: Interoperation suppoRting buSiness innovation”, file e31e124d-c868-987f-e053-3705fe0a095a
|
218
|
|
Context-aware Readings with Inbooki, file e31e124b-18f0-987f-e053-3705fe0a095a
|
202
|
|
Injecting roles in Java agents through runtime bytecode manipulation, file e31e124a-9745-987f-e053-3705fe0a095a
|
187
|
|
Patterns for self-adaptive systems: agent-based simulations, file e31e124c-7fb5-987f-e053-3705fe0a095a
|
179
|
|
Dealing with data and software interoperability issues in digital factories, file e31e124d-5ec4-987f-e053-3705fe0a095a
|
160
|
|
Introduction to the Special Issue on Enabling Technologies for Collaborations, file e31e124c-b890-987f-e053-3705fe0a095a
|
157
|
|
The future of factories: Different trends, file e31e124f-9eba-987f-e053-3705fe0a095a
|
98
|
|
Artificial immunology for collective adaptive systems design and implementation, file e31e124b-f6af-987f-e053-3705fe0a095a
|
95
|
|
Dynamic digital factories for agile supply chains: An architectural approach, file e31e124f-489a-987f-e053-3705fe0a095a
|
72
|
|
Towards User-Aware Service Composition, file e31e124b-dd65-987f-e053-3705fe0a095a
|
68
|
|
The future of AOSE: exploiting SME for a new conception of methodologies, file e31e124d-4d5d-987f-e053-3705fe0a095a
|
47
|
|
Preface to the special section on agent-oriented design methods and programming techniques for distributed computing in dynamic and complex environments, file e31e1250-0035-987f-e053-3705fe0a095a
|
39
|
|
Adaptive coordination in autonomous driving: Motivations and perspectives, file e31e1250-07ed-987f-e053-3705fe0a095a
|
36
|
|
Flexibility out of standardization, file e31e1250-946d-987f-e053-3705fe0a095a
|
21
|
|
Dealing with data and software interoperability issues in digital factories, file e31e1250-1f54-987f-e053-3705fe0a095a
|
12
|
|
A Taxonomy of Architectural Patterns for Self-Adaptive Systems, file e31e124a-a4e5-987f-e053-3705fe0a095a
|
7
|
|
Artificial immunology for collective adaptive systems design and implementation, file e31e124b-9ba5-987f-e053-3705fe0a095a
|
5
|
|
Identification of Social Aspects by Means of Inertial Sensor Data, file 62abfbcb-15d1-4180-80df-47ff38dcd9da
|
3
|
|
Context-awareness in the deregulated electric energy market: an agent-based approach, file e31e124b-43a9-987f-e053-3705fe0a095a
|
3
|
|
Adaptive coordination in autonomous driving: Motivations and perspectives, file e31e124d-0828-987f-e053-3705fe0a095a
|
3
|
|
Dynamic digital factories for agile supply chains: An architectural approach, file e31e124f-2865-987f-e053-3705fe0a095a
|
3
|
|
Learn to Bet: Using Reinforcement Learning to Improve Vehicle Bids in Auction-Based Smart Intersections, file 656f9d94-c1b8-405e-a116-16aa71480f7f
|
2
|
|
Introduction to the Special Issue on Collective Adaptive Systems, file c644503a-dbe0-4894-8b25-cd54b0180af6
|
2
|
|
Runtime Change of Collaboration Patterns in Autonomic Systems: Motivations and Perspectives, file e31e124a-a6b8-987f-e053-3705fe0a095a
|
2
|
|
Location-dependent services for mobile users, file e31e124c-07c9-987f-e053-3705fe0a095a
|
2
|
|
An Architecture for Predictive Maintenance of Railway Points Based on Big Data Analytics, file e31e124e-4673-987f-e053-3705fe0a095a
|
2
|
|
Autonomous, context-aware, adaptive Digital Twins—State of the art and roadmap, file e31e1250-6ae5-987f-e053-3705fe0a095a
|
2
|
|
Applying security policies through agent roles: A JAAS based approach, file e31e124a-95d8-987f-e053-3705fe0a095a
|
1
|
|
Exploiting runtime bytecode manipulation to add roles to Java agents, file e31e124a-9772-987f-e053-3705fe0a095a
|
1
|
|
Mobile JikesRVM: a Framework to Support Transparent Java Thread Migration, file e31e124a-9f8b-987f-e053-3705fe0a095a
|
1
|
|
Collaboration in Swarm Robotics: a Visual Communication Approach, file e31e124a-a8b5-987f-e053-3705fe0a095a
|
1
|
|
A method fragments approach to methodologies for engineering self-organising systems, file e31e124a-ae7e-987f-e053-3705fe0a095a
|
1
|
|
Towards User-Aware Service Composition, file e31e124b-e0da-987f-e053-3705fe0a095a
|
1
|
|
MOMIS: Exploiting agents to support information integration, file e31e124b-ecef-987f-e053-3705fe0a095a
|
1
|
|
Evolutionary Strategies for Novelty-Based Online Neuroevolution in Swarm Robotics, file e31e124c-804b-987f-e053-3705fe0a095a
|
1
|
|
The influence of the picking times of the components in time and space assembly line balancing problems: An approach with evolutionary algorithms, file e31e124c-acaf-987f-e053-3705fe0a095a
|
1
|
|
SASO 2016: Selected, revised, and extended best papers, file e31e124d-0f06-987f-e053-3705fe0a095a
|
1
|
|
Auction-based crossings management, file e31e124d-cb15-987f-e053-3705fe0a095a
|
1
|
|
Message from the SASO 2016 Program Committee Chairs, file e31e124f-47d6-987f-e053-3705fe0a095a
|
1
|
|
3rd FoCAS workshop on fundamentals of collective adaptive systems (FoCAS 2015), file e31e124f-5e44-987f-e053-3705fe0a095a
|
1
|
|
Does the venue of scientific conferences leverage their impact? A large scale study on Computer Science conferences, file e31e1250-08c7-987f-e053-3705fe0a095a
|
1
|
| Totale |
4.417 |
