Call for chapters on New Trends in Neutrosophic Theories and Applications

October 31st, 2024 Daniela Lopez de Luise

      Call for Chapters
for the collective book “New Trends in Neutrosophic Theories and Applications”, Vol. 4, Editors: Prof. Dr. F. Smarandache, and Dr. S. Pramanik (India):  
Submission Deadline: 31st December 2024, by
email to smarand@unm.edu” target=”_blank”>smarand@unm.edu and sura_pati@yahoo.co.in” target=”_blank”>sura_pati@yahoo.co.in 
Publication date: January 2025 
 
The book will be open-source. 
No publication fees.  
  
Several TOPICS 
Neutrosophy as a philosophy extending the Paradoxism, the Dialectics, the Yin-Yang ancient Chinese philosophy, the Manichaeism, and in general the Dualism,
http://fs.unm.edu/Neutrosophy-A-New-Branch-of-Philosophy.pdf

Neutrosophic set/logic/probability/statistics;
http://fs.unm.edu/eBook-Neutrosophics6.pdf (online sixth edition) 
 Nonstandard Neutrosophic Logic, Set, Probability https://arxiv.org/ftp/arxiv/papers/1903/1903.04558.pdf https://fs.unm.edu/AdvancesOfStandardAndNonstandard.pdf

Neutrosophic Numbers 

(a+bI, where I = literal indeterminacy, I^2 = I, which is
different from the numerical indeterminacy I = real set)

I-Neutrosophic Algebraic Structures and Neutrosophic Cognitive Maps
https://arxiv.org/ftp/math/papers/0311/0311063.pdf
http://fs.unm.edu/NCMs.pdf

Interval Neutrosophic Set/Logic
https://arxiv.org/pdf/cs/0505014.pdf
http://fs.unm.edu/INSL.pdf

Degree of Dependence and Degree of Independence between the Neutrosophic Components T, I, F.
http://fs.unm.edu/NSS/DegreeOfDependenceAndIndependence.pdf
 

 Neutrosophic Overset (when some neutrosophic component is > 1), since  for example, an employee working overtime deserves a degree of
membership > 1, with respect to an employee that only works regular
full-time and whose degree of membership = 1;
and to Neutrosophic
Underset (when some neutrosophic component is < 0), since, for
example, an employee making more damage than benefit to his company deserves a
degree of membership < 0, with respect to an employee that produces benefit
to the company and has the degree of membership > 0;
and to and to Neutrosophic Offset 
(when some neutrosophic components are off the interval [0, 1],
i.e. some neutrosophic component > 1 and 
some neutrosophic component < 0).

Then, similarly, the Neutrosophic Logic/Measure/Probability/Statistics etc.
were extended to respectively Neutrosophic Over-/Under-/Off- Logic /
Measure / Probability / Statistics etc.
https://arxiv.org/ftp/arxiv/papers/1607/1607.00234.pdf
http://fs.unm.edu/NeutrosophicOversetUndersetOffset.pdf
http://fs.unm.edu/SVNeutrosophicOverset-JMI.pdf
http://fs.unm.edu/IV-Neutrosophic-Overset-Underset-Offset.pdf
http://fs.unm.edu/NSS/DegreesOf-Over-Under-Off-Membership.pdf 
Neutrosophic Tripolar Set and Neutrosophic
Multipolar Set and consequently the Neutrosophic Tripolar
Graph and Neutrosophic Multipolar Graph
http://fs.unm.edu/eBook-Neutrosophics6.pdf (p. 93)
http://fs.unm.edu/IFS-generalized.pdf

Neutrosophic Measure and Neutrosophic Probability
( chance that an event occurs, indeterminate chance of occurrence,
chance that the event does not occur )
https://arxiv.org/ftp/arxiv/papers/1311/1311.7139.pdf
http://fs.unm.edu/NeutrosophicMeasureIntegralProbability.pdf

Refined / Split the Neutrosophic Components (T, I, F) 

into Neutrosophic SubComponents (T1, T2, …; I1, I2, …; F1, F2, …):
https://arxiv.org/ftp/arxiv/papers/1407/1407.1041.pdf
http://fs.unm.edu/n-ValuedNeutrosophicLogic-PiP.pdf

Law of Included Multiple-Middle (as extension of the Law of Included Middle):  (<A>; <neutA1>, <neutA2>, …, <neutAn>; <antiA>); http://fs.unm.edu/LawIncludedMultiple-Middle.pdf 

and the Law of Included Infinitely-Many-Middles: 
(<A>; <neutA1>, <neutA2>, …, <neutAinfinity>;
<antiA>) https://fs.unm.edu/NSS/LawIncludedInfinitely1.pdf 
Neutrosophic Statistics (indeterminacy is introduced into classical statistics with respect to any data regarding the sample / population, probability distributions / laws / graphs / charts etc.,
with respect to the individuals that only partially belong to a sample /
population, and so on):
https://arxiv.org/ftp/arxiv/papers/1406/1406.2000.pdf
http://fs.unm.edu/NeutrosophicStatistics.pdf

 Extension of the Analytical Hierarchy Process (AHP) 

Neutrosophic Precalculus and Neutrosophic Calculus
https://arxiv.org/ftp/arxiv/papers/1509/1509.07723.pdf
http://fs.unm.edu/NeutrosophicPrecalculusCalculus.pdf

Refined Neutrosophic Numbers
(a+ b1I1 + b2I2 + … + bnIn),
where I1, I2, …, In are
Sub-Indeterminacies of Indeterminacy I.  

 (t,i,f)-Neutrosophic Graphs  Thesis-AntiThesis-NeutroThesis, and NeutroSynthesis, Neutrosophic Axiomatic System, neutrosophic dynamic systems, symbolic neutrosophic logic,
(t, i, f)-Neutrosophic Structures, 
I-Neutrosophic Structures, 
Refined Literal Indeterminacy, Quadruple Neutrosophic Algebraic Structures, Multiplication Law of SubIndeterminacies, 
and Neutrosophic Quadruple Numbers 
of the form a + bT + cI + dF, where T, I, F are literal neutrosophic components, and a, b, c, d are real or complex numbers:
https://arxiv.org/ftp/arxiv/papers/1512/1512.00047.pdf
http://fs.unm.edu/SymbolicNeutrosophicTheory.pdf
 
 Addition, Multiplication, Scalar Multiplication, Power, Subtraction, and
Division of Neutrosophic Triplets (T, I, F) https://fs.unm.edu/CR/SubstractionAndDivision.pdf 
Neutrosophic Multisets (as generalization of classical multisets)
http://fs.unm.edu/NeutrosophicMultisets.htm

Neutrosophic Triplet Structures and
m-valued refined neutrosophic triplet structures
http://fs.unm.edu/NeutrosophicTriplets.htm

Neutrosophic Duplet Structures
http://fs.unm.edu/NeutrosophicDuplets.htm 

 
Neutrosophic Score, Accuracy, and Certainty Functions form a
total order relationship on the set of (single-valued, interval-valued, and in
general subset-valued) neutrosophic triplets (T, I, F); and these functions are used in MCDM (Multi-Criteria Decision Making): http://fs.unm.edu/NSS/TheScoreAccuracyAndCertainty1.pdf 
 
Theory of Neutrosophic Evolution: Degrees of Evolution, Indeterminacy or Neutrality, and Involution (as extension of Darwin's Theory of
Evolution):
http://fs.unm.edu/neutrosophic-evolution-PP-49-13.pdf 
       
The Law that: It Is Easier to Break from Inside than from Outside a
Neutrosophic Dynamic System:
http://fs.unm.edu/EasierMaiUsor.pdf 
        
New types of soft sets: HyperSoft Set, IndetermSoft Set, IndetermHyperSoft
Set, SuperHyperSoft Set, TreeSoft Set: http://fs.unm.edu/TSS/NewTypesSoftSets-Improved.pdf  
https://fs.unm.edu/NSS/IndetermSoftIndetermHyperSoft38.pdf (with IndetermSoft Operators acting on IndetermSoft Algebra) 
Neutrosophic Psychology (Neutropsyche, Refined Neutrosophic Memory: conscious, aconscious, unconscious, Neutropsychic Personality, Eros / Aoristos / Thanatos, Neutropsychic Crisp Personality):
http://fs.unm.edu/NeutropsychicPersonality-ed3.pdf

Theory of Spiral Neutrosophic Human Evolution http://fs.unm.edu/SpiralNeutrosophicEvolution.pdf 

Neutrosophic Sociology (NeutroSociology) [neutrosophic
concept, or (T, I, F)-concept, is a concept that is T% true, I% indeterminate,
and F% false]: http://fs.unm.edu/Neutrosociology.pdf 
Refined Neutrosophic Crisp Set http://fs.unm.edu/RefinedNeutrosophicCrispSet.pdf 
        
New types of topologies: NonStandard Topology, Largest Extended NonStandard Real Topology, Neutrosophic Triplet Weak/Strong Topologies, Neutrosophic Extended Triplet Weak/Strong Topologies, Neutrosophic Duplet Topology,
Neutrosophic Extended Duplet Topology, Neutrosophic MultiSet Topology,
NonStandard Neutrosophic Topology, NeutroTopology, AntiTopology, Refined Neutrosophic Topology, Refined Neutrosophic Crisp Topology,
SuperHyperTopology, and Neutrosophic SuperHyperTopology: 
        
Generalization of the classical Algebraic Structures to NeutroAlgebraic
Structures (or NeutroAlgebras)  {whose operations and
axioms are partially true, partially indeterminate, and partially false} 
as extensions of Partial Algebra, and
to AntiAlgebraic Structures (or AntiAlgebras) {whose operations and 
axioms are totally false}. 
And, in general, he extended any
classical Structure, in no matter what field of knowledge, to a 
NeutroStructure and an
AntiStructure:   
       NeutroGeometry & AntiGeometry as alternatives and generalizations of the Non-Euclidean Geometries.  
While the Non-Euclidean Geometries resulted from the total negation of only one specific axiom (Euclid’s Fifth Postulate), 
the AntiGeometry results from the total negation of any axiom 
and even of more axioms from any
geometric axiomatic system (Euclid’s, Hilbert’s, etc.), and the 
NeutroAxiom results from the partial
negation of one or more axioms [and no total negation of no axiom] from 
any geometric axiomatic
system.      
   
 Extension of HyperGraph to SuperHyperGraph
and Neutrosophic SuperHyperGraph 
  
  
Neutrosophic Number Theory (Abobala) 
       
Real Examples of NeutroGeometry and AntiGeometry: 
  
Plithogenic Logic as a generalization of MultiVariate Logic 
       
Plithogenic Probability and Statistics as generalizations of MultiVariate Probability and Statistics respectively 
 
AH-isometry f(x+yI) = f(x) + I[f(x+y) – f(x)] 
and foundation of the
Neutrosophic Euclidean Geometry (by Abobala & Hatip) 
       
SuperHyperAlgebra & Neutrosophic SuperHyperAlgebra 
       
SuperHyperFunction, SuperHyperTopology 
        
Symbolic Plithogenic Algebraic Structures built on the set of Symbolic Plithogenic Numbers of the form 
a0 + a1P1 + a2P2 + … + anPn 
where the multiplication Pi·Pj is based on the prevalence order and absorbance law http://fs.unm.edu/NSS/SymbolicPlithogenicAlgebraic39.pdf 
        
Neutrosophic Cryptology (Merkepci-Abobala-Allouf) 
       
MultiNeutrosophic Set (a neutrosophic set whose elements' degrees T, I, F are evaluated by multiple sources): 
Appurtenance Equation, Inclusion Equation,
& Neutrosophic Numbers used in Neutrosophic Statistics 
 
MultiAlism System of Thought (an open dynamic system of many opposites, with their neutralities or indeterminacies, formed by elements from many systems): 
 SuperHyperStructure and Neutrosophic SuperHyperStructure 
  
 Appurtenance Equation, Inclusion Equation,
& Neutrosophic Numbers used in Neutrosophic Statistics 
  
SuperHyperStructure and Neutrosophic SuperHyperStructure 
  
Zarathustra & Neutrosophy 
The Principles of (Partial Locality, Partial Indeterminacy, Partial NonLocality)
and (Multi Locality,  Multi Indeterminacy, Multi NonLocality) 
Neutrosophy Transcends Binary Oppositions in Mythology and Folklore 
Neutrosophy means: Common Parts to Uncommon Things 
and Uncommon Parts to Common Things 
Upside-Down Logics: Falsification of the Truth &
Truthification of the False 
 
Neutrosophic (and fuzzy-extensions) TwoFold Algebra 
  
Applications in:

Artificial Intelligence, Information Systems, Computer Science, Cybernetics,
Theory Methods, Mathematical Algebraic Structures, Applied Mathematics,
Automation, Control Systems, Big Data, Engineering, Electrical, Electronic;  
Philosophy, Social Science, Psychology, Biology,
Biomedical, Genetics, Engineering, Medical Informatics, Operational Research,
Management Science, Imaging Science, Photographic Technology, Instruments,
Instrumentation, Physics, Optics, Economics, Mechanics, Neurosciences,
Radiology Nuclear, Medicine, Medical Imaging, Interdisciplinary Applications,
Multidisciplinary Sciences, etc.   

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AIIA/AIDA Winder School on ‘AI and big Data Analytics for Inspection/Surveillance, Disaster Prevention and Management, online free participation, 3-4/12/2024.

October 30th, 2024 Daniela Lopez de Luise

Dear AI scientist/engineer/student/enthusiast,

 

the Artificial Intelligence and Information Analysis (AIIA) Lab of Aristotle University of Thessaloniki, in cooperation with the International AI Doctoral Academy (AIDA) offers the 2024 ‘AIIA/AIDA Winder School on ‘AI and big Data Analytics for Inspection/Surveillance, Disaster Prevention and Management” (3-4/12/2024) covering the following topics:

 

  • Big Data Analytics for Natural Disaster Management (NDM), e.g., of forest fires and floods. In such cases, drone images are complemented with satellite images, meteorological data, maps, and social media posts to form big data chunks that must be co-analyzed for efficient NDM.
  • Drone Imaging for infrastructure inspection and surveillance, e.g., for damage detection in industrial pipelines and electrical installations.

 

This school consists of two courses:

  1. Short course on Big Data Analytics for Natural Disaster Management, December 3rd, 2024.
  2. Short course on Deep Learning and Computer Vision for Industrial Infrastructure Inspection, December 4th, 2024.

 

These courses are organized by the Horizon Europe R&D projects TEMA and SIMAR, respectively.

  • Interested students, scientists and engineers can register in each of these courses free of charge and separately using the above links.

 

School Organizer: Prof. Ioannis Pitas

Chair of the International AI Doctoral Academy (AIDA), Director of the Artificial Intelligence and Information analysis (AIIA) Lab,

Aristotle University of Thessaloniki, Greece

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3rd WORKSHOP ON COMPUTER VISION FOR WINTER SPORTS (CV4WS)

October 29th, 2024 Daniela Lopez de Luise
3nd WORKSHOP ON COMPUTER VISION FOR WINTER SPORTS (CV4WS) 
in conjunction with the
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025 (https://wacv2025.thecvf.com/)
WORKSHOP WEBSITE 

TOPICS
We invite submissions to our WACV 2025 workshop on computer vision in winter and mountain sports, including disciplines like skiing, bobsleigh, climbing, and downhill biking. These sports capture massive viewership and participation globally, yet pose unique challenges for computer vision due to fast motion, harsh environments, and real-time processing demands.
Our workshop aims to advance visual analysis and enhance spectator experiences through cutting-edge research. Topics of interest include athlete pose estimation, performance analysis, injury prevention, augmented reality for fan engagement, and robust methods for challenging weather conditions. We welcome contributions on algorithmic approaches, fusion of visual data with other sensors, and new datasets/benchmarks in these domains.

Research papers are solicited in, but not limited to, the following topic areas:
  • Machine learning solutions for video understanding or activity recognition regarding winter and mountain sports
  • Pose estimation of athletes
  • Evaluation and measurement of athlete performance
  • Performance forecasting
  • Detection/evaluation/prevention of injuries in winter sports with computer vision
  • Crowd and spectators monitoring
  • Augmented/virtual reality for winter sports and fan engagement
  • Applications of computer vision/AI to winter sports (skiing, ice-hockey, ice-skating, biathlon, bobsleigh, luge, curling, etc.)
  • Image/video understanding in winter/harsh weather conditions
  • Camera pose estimation in broadcast videos
  • Video-based trajectory reconstruction and analysis
  • Winter scene reconstruction from images/videos
  • Snow/ice measurements and analysis with computer vision
  • Real-time processing algorithms
  • Fusion of image/video data and other sensor data
  • Datasets, benchmarks and annotations of winter sport data

SUBMISSIONS
There are two submission tracks: FULL PAPERS and EXTENDED ABSTRACTS.

Full paper submissions should propose comprehensive and well-validated solutions, and adhere to the guidelines of standard WACV 2025 submissions (max 8 pages + references). Accepted full papers will be published under the WACV 2025 workshop proceedings and included in IEEE Xplore.

Extended abstracts should be max 4 pages in length (including tables, figures and references) and can describe novel but not extensively validated ideas, ongoing works, or be recaps of recently published papers (either journal or conference). The accepted abstracts will be published under an arXiv compendium.

All submissions should be compiled for double-blind review, adopt the standard WACV 2025 template (Overleaf template, ZIP Archive), and be submitted via the workshop's CMT platform:

We plan to invite a selection of authors, along with a summary paper featuring submissions to the SkiTB challenge, to contribute to a special issue in a prestigious journal. This special issue will encompass broader topics in sports science and technology.
THE SKITB CHALLENGE
The team at the University of Udine has recently unveiled SkiTB, a large dataset for computer vision research in skiing. For the workshop, such a dataset will be exploited to organize a visual tracking challenge through a dedicated research competition platform (e.g. CodaLab).
 Challenge participants will be required to submit a report presenting their solution. A collection of the best reports will be included in a future special issue. 
The best performing teams will be invited to present their solutions to the workshop's attendees. 
  • Opening challenge date: 01 December 2024
  • Deadline for submissions: 31 January 2025
  • Technical report submission: 07 February 2025

Challenge page:
IMPORTANT DATES
Important dates for full paper submissions:
  • 22 November 2024, 2022 23:59 PST: full paper submission due
  • December 18, 2024: notification to authors of full paper submissions
  • January 10, 2025 23:59 PST: full paper camera-ready papers due
Important dates for extended abstract submissions:
  • December 20, 2024 23:59 PST: extended abstract due
  • January 10, 2025: notification to authors of extended abstract submissions
  • January 31, 2025 23:59 PST: extended abstract camera-ready papers due 
Workshop date:
  • February 28 or March 3 or 4, 2025

ORGANIZERS
Dr. Niccolò Bisagno, University of Trento, Italy
Dr. Matteo Dunnhofer, University of Udine, Italy
Dr. Katja Ludwig, University of Augsburg, Germany
Prof. Hideki Koike, Tokyo Institute of Technology, Japan
Prof. Christian Micheloni, University of Udine, Italy

Prof. Nicola Conci, University of Trento, Italy

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Free Webinar by Dr. Tempestt Neal on Qualitative Methods for Biometrics Research

October 29th, 2024 Daniela Lopez de Luise
The IEEE Biometrics Council invites participants to the upcoming (free)
webinar by Prof. Tempestt Neal on “Qualitative Methods for Biometrics
Research”. Detail on the webinar are given below:

Title: Qualitative Methods for Biometrics Research: Exploring User
Behavior and System Design
Speaker: Prof. Tempestt Neal, University of South Florida, USA
When: 14 November 2024, at 1pm ET (7 pm CET)
Where: Online (Zoom)
Registration: (free, but required):
https://us06web.zoom.us/webinar/register/WN_-iyWaOA1Tpmx9r6CQU2t0g

*** Talk Summary ***
Qualitative research is a method of inquiry aimed at gaining a deep
understanding of social phenomena by relying on individuals’ direct
experiences. Unlike quantitative research, which seeks to quantify
variables and analyze numerical data, qualitative research emphasizes
the exploration of complex, subjective experiences, meanings, and social
dynamics. Qualitative exploration can greatly enhance the field of
biometrics by offering deep insights into complex issues like bias in
biometric systems and user acceptability. These methods allow for a more
detailed understanding of how these systems are perceived and
experienced, which is crucial for addressing ethical concerns and
improving overall effectiveness. This webinar aims to provide biometrics
researchers with a foundational understanding of qualitative research
methods and their applicability to the field.

*** About the Speaker ***
Tempestt Neal is an Associate Professor of Computer Science and
Engineering at the University of South Florida. She leads the Cyber
Identity and Behavior Research (CIBeR) Lab, which primarily conducts
quantitative and qualitative research on mobile-based sensing for
biometrics and human behavior understanding in interdisciplinary
applications, as well as cybersecurity awareness among populations
historically underrepresented in Science and Engineering. The lab’s
research also spans natural language processing, mostly including the
study of linguistic cues as a cognitive biometric trait, as well as
implicit opinion mining tasks. She holds a Ph.D. from the University of
Florida (Computer Engineering, 2018), M.S. from Clemson University
(Computer Science, 2014), and a B.S. from South Carolina State
University (Computer Science with a minor in Mathematics, 2012). Dr.
Neal has served as an Associate Editor for the IEEE Biometrics Council
Newsletter and Guest Editor for the MDPI Electronics Special Issue on
Recent Advances in Biometric Security in IoT Based on Machine Learning.
She has also served on the organizing committee for several workshops in
Artificial Intelligence and Biometrics, including the Workshops on
Applied Multimodal Affect Recognition (AMAR 2020, AMAR 2021, AMAR 2022)
and the Workshop on Interdisciplinary Applications of Identity Science
and Biometrics. She was a recipient of the University of Florida Delores
Auzenne Dissertation Award and National Science Foundation CyberCorps
Scholarship for Service Fellowship. She was also recognized as a
2021-2022 McKnight Junior Faculty Fellow, and received an NSF CAREER
Award in 2023.

For more information, visit:
https://ieee-biometrics.org/event/qualitative-methods-for-biometrics-besearch/

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Call for Papers/Abstracts – ICICIP 2025, Muscat, Oman, February 6-11, 2025

October 29th, 2024 Daniela Lopez de Luise
Call for Papers/Abstracts
Conference website: https://conference.cs.cityu.edu.hk/icicip/ 

The 13th International Conference on Intelligent Control and Information Processing (ICICIP2025) will be held in Muscat, Oman, February 6-11, 2025, following the successes of previous events. As the capital of Oman, Muscat is Oman's largest city with a population of over four million people and numerous tourist attractions. ICICIP2025 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature plenary speeches given by world-renowned scholars, regular sessions with broad coverage, special sessions focusing on popular topics, and post-conference workshops/tutorials in the region.

Prospective authors are invited to contribute high-quality papers to ICICIP2025. In addition, proposals for special sessions within the technical scopes of the symposium are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ICICIP2025. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information, and brief biographical information on the organizers.

Authors are invited to submit abstract only or full-length papers (8 pages maximum) by the submission deadline through the online submission system. Potential organizers are also invited to enlist five or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take consideration of the referees' comments and suggestions. All accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements. Selected high-quality papers will be included in several journal special issues.

The abstract and paper submission system is now open. 

Abstract and Paper Submission link: https://openreview.net/group?id=IEEE.org/ICICIP/2025/Conference&referrer=%5BHomepage%5D(%2F)#tab-your-consoles 


Paper or Abstract Only Submission Deadline (Extended): November 15, 2024


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