KR2022: Session on KR and Machine Learning

January 11th, 2022 Daniela Lopez de Luise

 

Call for Papers: Special Session on KR and Machine Learning

 

July 31 – August 5, 2022, Haifa, Israel

 

https://kr2022.cs.tu-dortmund.de/cfp_special_session_kr_and_machine_learning.php

 

** IMPORTANT DATES **

* Submission of title and abstract: February 2, 2022

* Paper submission deadline: February 9, 2022

* Author response period: March 29-31, 2022

* Author notification: April 15, 2022

* Camera-ready papers: May 7, 2022

* Conference: July 31 – August 5, 2022

 

** DESCRIPTION **

The last few years have witnessed a growing interest in AI methods that combine aspects of Machine Learning (ML) with insights and methods from the field of Knowledge Representation and Reasoning (KR). This trend is essentially motivated by the clear complementarity of ML and KR. For instance, the popularity and success of ML based systems has put issues such as explainability, bias and fairness firmly in the spotlight, and addressing these issues naturally leads to systems in which symbolic (or at least interpretable) representations play a more central role. On the other hand, ML also offers solutions for long-standing challenges in the field of KR, for instance related to efficient, noise-tolerant and ampliative inference, knowledge acquisition, and the limitations of symbolic representations. The synergy between ML and KR has the potential to lead to new advancements in fundamental AI challenges including, but not limited to, learning symbolic generalisations from raw (multi-modal) data, using knowledge to facilitate data-efficient learning, supporting interpretability of learned outcomes, federated multi-agent learning and decision-making.

 

This year, for the third time, KR2022 will host a special session on “Knowledge Representation and Machine Learning”, which aims at providing researchers and practitioners with a dedicated forum for the discussion of new ideas and research results at the intersection of these two fields. This special session will provide participants with the opportunity to make meaningful connections and develop a shared understanding of the challenges involved in developing innovative AI solutions that rely on a combination of insights and methods from ML and KR.

 

** EXPECTED CONTRIBUTIONS **

The Special Session on KR and ML at KR2022 invites submissions of papers that combine aspects of KR and ML research, including the use of KR methods for solving ML challenges (e.g. knowledge-guided or explainable learning), the use of ML methods for solving KR challenges (e.g. efficient inference, knowledge base completion), the integration of learning and reasoning, and the application of combined KR and ML approaches to solve real-world problems.

We welcome papers on a wide range of topics, including but not limited to:

* Learning symbolic knowledge, such as ontologies and knowledge graphs, action theories, commonsense knowledge, spatial and temporal theories, preference models and causal models

* Logic-based, logical and relational learning algorithms

* Machine-learning driven reasoning algorithms

* Neural-symbolic learning

* Statistical relational learning

* Multi-agent learning

* Symbolic reinforcement learning

* Learning symbolic abstractions from unstructured data

* Explainable AI

* Expressive power of learning representations

* Knowledge-driven natural language understanding and dialogue

* Knowledge-driven decision making

* Knowledge-driven intelligent systems for internet of things and cybersecurity

* Architectures that combine data-driven techniques and formal reasoning

 

 

** SUBMISSION GUIDELINES AND EVALUATION CRITERIA **

The Special Session on KR and Machine Learning will allow contributions of both regular papers (9 pages) and short papers (4 pages), excluding references, prepared and submitted according to the authors guidelines in the submission page:

https://kr2022.cs.tu-dortmund.de/submission.php

 

The special session welcomes contributions that extend the state-of-the-art at the intersection of KR and ML. Therefore, KR-only or ML-only submissions will not be accepted for evaluation in this special session.

 

Submissions will be rigorously peer reviewed by PC members who are active in KR and ML. Submissions will be evaluated on the basis of the originality, soundness, relevance and significance of the technical contribution, as well as the overall presentation quality.

 

 

** CHAIRS **

Fabio Cozman University of Sao Paulo, Brazil 

Steven Schockaert Cardiff University, UK 

 

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Free 2022 January SPRINGEROPEN EURASIP JIVP Webminar ‘Drone Vision and Deep Learning for Infrastructure Inspection’ by Prof. I. Pitas (Jan. 2022, 13th at 12:30 p.m. CET)

January 10th, 2022 Daniela Lopez de Luise


To join the free 1-hour webinar, it is required to pre-register at,
https://forms.gle/HZ9SAL9KXD2ReD9X6
or through the journal website at,
https://jivp-eurasipjournals.springeropen.com/
Contact: Jana Palinkas <jana.palinkas@springernature.com&gt;

Abstract: This lecture overviews the use of drones for infrastructure inspection and maintenance. Various types of inspection, e.g., using visual cameras, LIDAR or thermal cameras are reviewed. Drone vision plays a pivotal role in drone perception/control for infrastructure inspection and maintenance, because: a) it enhances flight safety by drone localization/mapping, obstacle detection and emergency landing detection; b) performs quality visual data acquisition, and c) allows powerful drone/human interactions, e.g.,  through automatic event detection and gesture control. The drone should have: a) increased multiple drone decisional autonomy and b) improved multiple drone robustness and safety mechanisms (e.g., communication robustness/safety, embedded flight regulation compliance, enhanced crowd avoidance and emergency landing mechanisms). Therefore, it must be contextually aware and adaptive. Drone vision and machine learning play a very important role towards this end, covering the following topics: a) semantic world mapping b) drone and target localization, c) drone visual analysis for target/obstacle/crowd/point of interest detection, d) 2D/3D target tracking. Finally, embedded on-drone vision (e.g., tracking) and machine learning algorithms are extremely important, as they facilitate drone autonomy, e.g., in communication-denied environments.Primary application area is electric line inspection. Line detection and tracking and drone perching are examined. Human action recognition and co-working assistance are overviewed.
The lecture will offer : a) an overview of all the above plus other related topics and will stress the related algorithmic aspects, such as: b) drone localization and world mapping, c) target detection d) target tracking and 3D localization e) gesture control and co-working with humans. Some issues on embedded CNN and fast convolution computing will be overviewed as well.

Short bio: Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer,  EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering,  both from the Aristotle University of Thessaloniki (AUTH), Greece. Since 1994, he has been a Professor at the Department of Informatics of AUTH and Director of the Artificial Intelligence and Information Analysis (AIIA) lab. He served as a Visiting Professor at several Universities.
His current interests are in the areas of computer vision, machine learning, autonomous systems, intelligent digital media, image/video processing, human- centred computing, affective computing, 3D imaging and biomedical imaging. He has published over 920 papers, contributed in 45 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 13 international journals and General or Technical Chair of 5 international conferences. He delivered 98 keynote/invited speeches worldwide. He co-organized 33 conferences and participated in technical committees of 291 conferences. He participated in 71 R&D projects, primarily funded by the European Union and is/was principal investigator in 43 such projects. Prof. Pitas lead the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/. He is AUTH principal investigator in H2020 R&D projects Aerial Core and AI4Media. He was chair and initiator of the Autonomous Systems Initiative https://ieeeasi.signalprocessingsociety.org/. He is chair of the International AI Doctoral Academy (AIDA) https://www.i-aida.org/ and is PI in Horizon2020 EU funded R&D projects AI4Media (1 of the 4 AI flagship projects in Europe) and AerialCore. He has 34400+ citations to his work and h-index 87+.

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3rd CfP: ICAS 2022 || May 22 – 26, 2022 – Venice, Italy

January 9th, 2022 Daniela Lopez de Luise

CALL FOR PAPERS, TUTORIALS, PANELS

ICAS 2022, The Eighteenth International Conference on Autonomic and Autonomous Systems

General page: https://www.iaria.org/conferences2022/ICAS22.html

Submission page: https://www.iaria.org/conferences2022/SubmitICAS22.html

Event schedule: May 22 – 26, 2022

Contributions:

– regular papers [in the proceedings, digital library]

– short papers (work in progress) [in the proceedings, digital library]

– ideas: two pages [in the proceedings, digital library]

– extended abstracts: two pages [in the proceedings, digital library]

– posters: two pages [in the proceedings, digital library]

– posters:  slide only [slide-deck posted at www.iaria.org]

– presentations: slide only [slide-deck posted at www.iaria.org]

– demos: two pages [posted at www.iaria.org]

Submission deadline: February 10, 2022

Extended versions of selected papers will be published in IARIA Journals:  https://www.iariajournals.org

Print proceedings will be available via Curran Associates, Inc.: https://www.proceedings.com/9769.html

Articles will be archived in the free access ThinkMind Digital Library: https://www.thinkmind.org

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All tracks are open to both research and industry contributions.
Before submission, please check and comply with the editorial rules: https://www.iaria.org/editorialrules.html

ICAS 2022 Topics (for topics and submission details: see CfP on the site)

Call for Papers: https://www.iaria.org/conferences2022/CfPICAS22.html

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ICAS 2022 Tracks (topics and submission details: see CfP on the site)

SELFTRENDS: Toward brain-like autonomic and autonomous systems

Adaptive robust resource allocation; Optimal self-organized collective actions; Collective adaptation; Active learning; Opportunistic collaborative interactive learning; Adaption fairness; Social and biometric data-aware adaptation; Brain connectivity models; Using unbalanced Datasets; Quantum-inspired optimization; Automated (industrial) assembly environments; Deep neural networks; Multimodal knowledge of the brain; Self-organization in M2M infrastructures; Self-organizing socio-technical systems; Context-aware data self-adaptation; Multi-level loop encapsulation in smart systems; Uncertainty in self-adaptive systems; Adaptive Software defined systems (SDS) scalability; Adaptability in multi-tenant Clouds; Self-aware model-driven systems; Proactive self-adaptation; Self-adaptive urban traffic; Adaptive power profiling; Run-time for self-adaptive systems; Distributed adaptive systems; Self-improving system integration; Self-improving activity recognition systems; Feedback computing; Optimal feedback control; Dynamic adaptive applications; Self-managing Clouds; Decentralized autonomic behavior; Market-adaptive trust; Semantics of self-behavior; Self-organizing patterns; Stability propagation in self-organizing systems; Inconsistency in self-deciding systems; Reasoning problems tractability; Decidability in self-organizing systems

ROBOTRENDS: Robot-related trends

Autonomous aquatic agents; Aerial autonomous robots; Drones control and management; Knowledge-based robot motions; Autonomous mobile robot interaction; Humanoid robots; Intelligent robots; Self-reconfigurable mobile robots; Humanoid imitative learning; Robots in unknown environments; Human centric robots; Adjustable robust optimizations; Moral autonomous agents and human evolution; Cognitive robotics; Robot partnership; Affective communication robots; Human-centric robotics; Visually-impaired and robots; Evolutionary swarm robotics; Robots and human advices; Universal robot hands

SOCIAL ROBOTS: Social robots and cognition

Human-robot interaction; Robot-robot interaction; Perception of a humanoid robots; Humanoid robots mediating social Interaction; Socially assistive robots; Conversational robots; Verbal Interaction; Human-robot touch interaction; Expressive interactions; Social emotions; Arts by humanoid robots; Collaborative social robots; Game approaches; Human-robot interactive games; Robots co-worker partners; Healthcare companion robots; Socially assistive robots; Robot-assisted rehabilitation therapy; Child-robot interaction; Mobile assistive robots; Robots in public spaces; Shopping mall robots; Home utility robots; Robot-assisted cognitive training; Robot-based multimodal emotion recognition; Advertizign robots; Telepresence robots; Robot teleoperation; Robots' social credibility

MACHINE LEARNING: Advanced topics in Deep/Machine learning

Distributed and parallel learning algorithms; Image and video coding; Deep learning and Internet of Things; Deep learning and Big data; Data preparation, feature selection, and feature extraction; Error resilient transmission of multimedia data; 3D video coding and analysis; Depth map applications; Machine learning programming models and abstractions; Programming languages for machine learning; Visualization of data, models, and predictions; Hardware-efficient machine learning methods; Model training, inference, and serving; Trust and security for machine learning applications; Testing, debugging, and monitoring of machine learning applications; Autonomous and robotics systems; Machine learning for systems.

SYSAT: Advances in system automation

Methods, techniques ant tools for automation features; Methodologies for automating of design systems; Industrial automation for production chains; Nonlinear optimization and automation control; Nonlinearities and system stabilization; Automation in safety systems; Structured uncertainty; Open and closed automation loops; Test systems automation; Theory on systems robustness; Fault-tolerant systems

UNMANNED: Driver-less cars and unmanned vehicles

Self-driving cars; Drones; Terrestrial unmanned vehicles; Unmanned aerial vehicles; Underwater unmanned vehicles; Unmanned sea surface vehicles; Collision control; Traffic surveillance challenges; Path planning and estimation; Communication between unmanned vehicles; Integration of unmanned aerial vehicles in civil airspace; Unmanned vehicular clusters; Designing unmanned vehicular-based systems; Safety of unmanned vehicles; Commercial and surveillance applications; Emergency applications; Legal aspects of unmanned vehicular systems; Testbeds and pilot experiments

AUTSY: Theory and Practice of Autonomous Systems

Design, implementation and deployment of autonomous systems; Frameworks and architectures for component and system autonomy; Design methodologies for autonomous systems; Composing autonomous systems; Formalisms and languages for autonomous systems; Logics and paradigms for autonomous systems; Ambient and real-time paradigms for autonomous systems; Delegation and trust in autonomous systems; Centralized and distributed autonomous systems; Collocation and interaction between autonomous and non-autonomous systems; Dependability in autonomous systems; Survivability and recovery in autonomous systems; Monitoring and control in autonomous systems; Performance and security in autonomous systems; Management of autonomous systems; Testing autonomous systems; Maintainability of autonomous systems

AWARE: Design and Deployment of Context-awareness Networks, Services and Applications

Context-aware fundamental concepts, mechanisms, and applications; Modeling context-aware systems; Specification and implementation of awareness behavioral contexts; Development and deployment of large-scale context-aware systems and subsystems; User awareness requirements and design techniques for interfaces and systems; Methodologies, metrics, tools, and experiments for specifying context-aware systems; Tools evaluations, Experiment evaluations

AUTONOMIC: Autonomic Computing: Design and Management of Self-behavioral Networks and Services

Theory, architectures, frameworks and practice of self-adaptive management mechanisms; Modeling and techniques for specifying self-ilities; Self-stabilization and dynamic stability criteria and mechanisms; Tools, languages and platforms for designing self-driven systems; Autonomic computing and GRID networking; Autonomic computing and proactive computing for autonomous systems; Practices, criteria and methods to implement, test, and evaluate industrial autonomic systems; Experiences with autonomic computing systems

CLOUD: Cloud computing and Virtualization

Hardware-as-a-service; Software-as-a-service [SaaS applicaitions]; Platform-as-service; On-demand computing models; Cloud Computing programming and application development; Scalability, discovery of services and data in Cloud computing infrastructures; Privacy, security, ownership and reliability issues; Performance and QoS; Dynamic resource provisioning; Power-efficiency and Cloud computing; Load balancing; Application streaming; Cloud SLAs, business models and pricing policies; Custom platforms; Large-scale compute infrastructures; Managing applications in the clouds; Data centers; Process in the clouds; Content and service distribution in Cloud computing infrastructures; Multiple applications can run on one computer (virtualization a la VMWare); Grid computing (multiple computers can be used to run one application); Virtualization platforms; Open virtualization format; Cloud-computing vendor governance and regulatory compliance

MCMAC: Monitoring, Control, and Management of Autonomous Self-aware and Context-aware Systems

Agent-based autonomous systems; Policy-driven self-awareness mechanisms and their applicability in autonomic systems; Autonomy in GRID networking and utility computing; Studies on autonomous industrial applications, services, and their developing environment; Prototypes, experimental systems, tools for autonomous systems, GRID middleware

CASES: Automation in specialized mobile environments

Theory, frameworks, mechanisms and case studies for satellite systems; Spatial/temporal constraints in satellites systems; Trajectory corrections, speed, and path accuracy in satellite systems; Mechanisms and case studies for nomadic code systems; Platforms for mobile agents and active mobile code; Performance in nomadic code systems; Case studies systems for mobile robot systems; Guidance in an a priori unknown environment; Coaching/learning techniques; Pose maintenance, and mapping; Sensing for autonomous vehicles; Planning for autonomous vehicles; Mobile networks, Ad hoc networks and self-reconfigurable networks

ALCOC: Algorithms and theory for control and computation

Control theory and specific characteristics; Types of computation theories; Tools for computation and control; Algorithms and data structures; Special algorithmic techniques; Algorithmic applications; Domain case studies; Technologies case studies for computation and control; Application-aware networking

MODEL: Modeling, virtualization, any-on-demand, MDA, SOA

Modeling techniques, tools, methodologies, languages; Model-driven architectures (MDA); Service-oriented architectures (SOA); Utility computing frameworks and fundamentals; Enabled applications through virtualization; Small-scale virtualization methodologies and techniques; Resource containers, physical resource multiplexing, and segmentation; Large-scale virtualization methodologies and techniques; Management of virtualized systems; Platforms, tools, environments, and case studies; Making virtualization real; On-demand utilities; Adaptive enterprise; Managing utility-based systems; Development environments, tools, prototypes

SELF: Self-adaptability and self-management of context-aware systems

Novel approaches to modeling and representing context adaptability, self-adaptability, and self-manageability; Models of computation for self-management context-aware systems; Use of MDA/MDD (Model Driven Architecture / Model Driven Development) for context-aware systems; Design methods for self-adaptable context-aware systems; Applications of advanced modeling languages to context self-adaptability; Methods for managing adding context to existing systems and context-conflict free systems; Architectures and middleware models for self-adaptable context-aware systems; Models of different adaptation and self-adaptation mechanisms (component-based adaptation approach, aspect oriented approach, etc.); System stability in the presence of context inconsistency; Learning and self-adaptability of context-aware systems; Business considerations and organizational modeling of self-adaptable context-aware systems; Performance evaluation of self-adaptable context-aware systems; Scalability of self-adaptable context-aware systems

KUI: Knowledge-based user interface

Evolving intelligent user interface for WWW; User interface design in autonomic systems; Adaptive interfaces in a knowledge-based design; Knowledge-based support for the user interface design process; Built-in knowledge in adaptive user interfaces; Requirements for interface knowledge representation; Levels for knowledge-based user interface; User interface knowledge on the dynamic behavior; Support techniques for knowledge-based user interfaces; Intelligent user interface for real-time systems; Planning-based control of interface animation; Model-based user interface design; Knowledge-based user interface migration; Automated user interface requirements discovery for scientific computing; Knowledge-based user interface management systems; 3D User interface design; Task-oriented knowledge user interfaces; User-interfaces in a domestic environment; Centralised control in the home; User-interfaces for the elderly or disabled; User-interfaces for the visually, aurally, or mobility impaired; Interfacing with ambient intelligence systems; Assisted living interfaces; Interfaces for security/alarm systems

AMMO: Adaptive management and mobility

QoE and adaptation in mobile environments; Content marking and management (i.e. MPEG21); Adaptive coding (H.265, FEC schemes, etc.. ); Admission control resource allocation algorithms; Monitoring and feedback systems; Link adaptation mechanisms; Cross layer approaches; Adaptation protocols (with IMS and NGNs scenarios); QoE vs NQoS mapping systems; Congestion control mechanisms; Fairness issues (fair sharing, bandwidth allocation…); Optimization/management mechanisms (MOO, fuzzy logic, machine learning, etc.)

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3rd CfP: INTELLI 2022 || May 22 – 26, 2022 – Venice, Italy

January 7th, 2022 Daniela Lopez de Luise
============== INTELLI 2022 | Call for Papers ===============

CALL FOR PAPERS, TUTORIALS, PANELS

INTELLI 2022, The Eleventh International Conference on Intelligent Systems and Applications

General page: https://www.iaria.org/conferences2022/INTELLI22.html

Submission page: https://www.iaria.org/conferences2022/SubmitINTELLI22.html

Event schedule: May 22 – 26, 2022

Contributions:

– regular papers [in the proceedings, digital library]

– short papers (work in progress) [in the proceedings, digital library]

– ideas: two pages [in the proceedings, digital library]

– extended abstracts: two pages [in the proceedings, digital library]

– posters: two pages [in the proceedings, digital library]

– posters:  slide only [slide-deck posted at www.iaria.org]

– presentations: slide only [slide-deck posted at www.iaria.org]

– demos: two pages [posted at www.iaria.org]

Submission deadline: February 10, 2022

Extended versions of selected papers will be published in IARIA Journals:  https://www.iariajournals.org

Print proceedings will be available via Curran Associates, Inc.: https://www.proceedings.com/9769.html

Articles will be archived in the free access ThinkMind Digital Library: https://www.thinkmind.org

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All tracks are open to both research and industry contributions.
Before submission, please check and comply with the editorial rules: https://www.iaria.org/editorialrules.html

INTELLI 2022 Topics (for topics and submission details: see CfP on the site)

Call for Papers: https://www.iaria.org/conferences2022/CfPINTELLI22.html

============================================================

INTELLI 2022 Tracks (topics and submission details: see CfP on the site)

Fundamentals in intelligent systems and applications

 – Intelligence by design

 – Intelligent distributed systems

 – Context-aware intelligent systems

 – Symbolic intelligence

 – Neuromorphic systems

 – Collective intelligence

 – Ambient Intelligence

 – Cooperative intelligent applications

 – Formal ontology and semantics

 – Persuasive intelligence

 – Bio-inspired intelligence

 – Cognitive systems and applications

 – Real-time intelligence

 – Hybrid artificial intelligent systems

 – Heuristic search

 – Automated planning

 – Adaptive problem solving

New production paradigms and concepts

 – Industry 4.0 in a global context

 – Industry 4.0 and Internet of Things (IoT) approaches

 – Smart factory and Industry 4.0

 – Manufacturing-oriented Big Data

 – Industry 4.0 Data analytics

 – Cyber-manufacturing systems

 – Life cycle sustainability of production systems

 – 3D/4D printing production-oriented

 – Cooperation and communication in manufacturing environments

 – Industrial robotics and intelligent manufacturing

 – New computing and knowledge paradigms in manufacturing environments

 – Flexible manufacturing systems

Intelligent Information processing

 – Intelligent signal processing

 – Intelligent data analysis

 – Web intelligence

 – IoT architecture for intelligent environments

 – Intelligent web search engines

 – Intelligent natural language systems and applications

 – Intelligent information extraction

 – Intelligent perception and intelligent machines

 – Intelligent agents

 – Augmented reality systems

 – Spiking neural networks and systems

 – Patterns in intelligent applications

 – Stability in intelligent systems

 – Ethical evaluation of intelligent systems

Intelligent communication networks

 – Cognitive intelligence in vehicular networks

 – Guidance systems

 – Intelligent health systems

 – Indoor special-awareness

 – Intelligent systems for software computing

 – Sensor-based intelligent systems

 – Intelligent systems for wireless applications

 – Intelligent transport systems

 – Intelligent applications for disaster management

 – Intelligence in medical decision applications

 – Intelligent forecasting applications

 – Intelligent human-computer interaction systems

 – Intelligent multimedia

 – Intelligent recommenders

 – Intelligent security systems and applications

 – Intelligent robotics

 – Intelligent embedded systems

 – RFID and BLE technologies in intelligent systems

 – Intelligent sensors and sensing applications

 – Mobility intelligence and semantic applications

 – Case studies and trials of intelligent solutions

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Intelligent and Fuzzy Systems Conference 2022 with Springer Proceedings and SCI Journals

January 6th, 2022 Daniela Lopez de Luise

INFUS 2022
JULY19-21, 2022
http://infus.itu.edu.tr/

INFUS 2022 INTERNATIONAL CONFERENCE ON INTELLIGENT AND FUZZY SYSTEMS,
DIGITAL ACCELERATION AND THE NEW NORMAL,
IZMIR TURKEY

 
INFUS 2022 conference will be organized in Izmir, Turkey. Virtual conference option will be available for the participants who cannot join to the conference on site.
 

Visit to Ancient City PERGAMON

 
 
The  Ancient City PERGAMON
 
Pergamon  was a rich and powerful ancient Greek city in Mysia. It is located 26 kilometres from the modern coastline of the Aegean Sea on a promontory on the north side of the river Caicus (modern-day Bakırçay) and northwest of the modern city of Bergama, Turkey.
 

Publish with INFUS 2022 Special Issues

Meet the Giants of Fuzzy Sets at INFUS 2022

Scopus Proceedings-INFUS 2022 

 
INFUS 2022 proceedings will be published as a book by the Springer (Lecture Notes in Networks and Systems Series) and indexed by SCOPUS, WEB OF SCIENCE, INSPEC, WTI Frankfurt eG, zbMATH, SCImago. 
 

 
 

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