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The Encyclopedia of Neutrosophic Researchers, 1st volume
  • Language: en
  • Pages: 232

The Encyclopedia of Neutrosophic Researchers, 1st volume

This is the first volume of the Encyclopedia of Neutrosophic Researchers, edited from materials offered by the authors who responded to the editor’s invitation. The 78 authors are listed alphabetically. The introduction contains a short history of neutrosophics, together with links to the main papers and books. Neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic measure, neutrosophic precalculus, neutrosophic calculus and so on are gaining significant attention in solving many real life problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistent, and indeterminacy. In the past years the fields of neutrosophics have been extended and applied in various fields, such as: artificial intelligence, data mining, soft computing, decision making in incomplete / indeterminate / inconsistent information systems, image processing, computational modelling, robotics, medical diagnosis, biomedical engineering, investment problems, economic forecasting, social science, humanistic and practical achievements.

Computer Vision – ECCV 2024
  • Language: en
  • Pages: 582

Computer Vision – ECCV 2024

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Computer Vision – ECCV 2024
  • Language: en
  • Pages: 436

Computer Vision – ECCV 2024

None

Computer Vision – ECCV 2022
  • Language: en
  • Pages: 818

Computer Vision – ECCV 2022

The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Collected Papers. Volume VII
  • Language: en
  • Pages: 1002

Collected Papers. Volume VII

This seventh volume of Collected Papers includes 70 papers comprising 974 pages on (theoretic and applied) neutrosophics, written between 2013-2021 by the author alone or in collaboration with the following 122 co-authors from 22 countries: Mohamed Abdel-Basset, Abdel-Nasser Hussian, C. Alexander, Mumtaz Ali, Yaman Akbulut, Amir Abdullah, Amira S. Ashour, Assia Bakali, Kousik Bhattacharya, Kainat Bibi, R. N. Boyd, Ümit Budak, Lulu Cai, Cenap Özel, Chang Su Kim, Victor Christianto, Chunlai Du, Chunxin Bo, Rituparna Chutia, Cu Nguyen Giap, Dao The Son, Vinayak Devvrat, Arindam Dey, Partha Pratim Dey, Fahad Alsharari, Feng Yongfei, S. Ganesan, Shivam Ghildiyal, Bibhas C. Giri, Masooma Raza Ha...

SALT AND PEPPER NOISE REDUCTION AND EDGE DETECTION ALGORITHM BASED ON NEUTROSOPHIC LOGIC
  • Language: en
  • Pages: 18

SALT AND PEPPER NOISE REDUCTION AND EDGE DETECTION ALGORITHM BASED ON NEUTROSOPHIC LOGIC

Noise reduction of images is a challenging task in image processing. Salt and pepper noise is one kind of noise that a ects a gray-scale image signi cantly. Generally, the median lter is used to reduce salt and pepper noise; it gives optimum results while compared to other image lters. Median lter works only up to a certain level of noise intensity.

Reduction of indeterminacy of gray-scale image in bipolar neutrosophic domain
  • Language: en
  • Pages: 12

Reduction of indeterminacy of gray-scale image in bipolar neutrosophic domain

Neutrosophy is a branch of philosophy introduced by Florentin Smarandache. Neutrosophic set (NS) is the derivative of neutrosophy; it is a powerful tool to handle uncertainty. Here we applied neutrosophic set to gray scale image domain for image analysis. Several authors contributed in neutrosophic image analysis and image processing.

Neutrosophic Sets and Systems, Book Series, Vol. 28, 2019
  • Language: en
  • Pages: 302

Neutrosophic Sets and Systems, Book Series, Vol. 28, 2019

“Neutrosophic Sets and Systems” has been created for publications on advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics that started in 1995 and their applications in any field, such as the neutrosophic structures developed in algebra, geometry, topology, etc

Neutrosophic Sets and Systems, Vol. 28, 2019
  • Language: en
  • Pages: 304

Neutrosophic Sets and Systems, Vol. 28, 2019

“Neutrosophic Sets and Systems” has been created for publications on advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics that started in 1995 and their applications in any field, such as the neutrosophic structures developed in algebra, geometry, topology, etc. Some articles from this issue: Reduction of indeterminacy of gray-scale image in bipolar neutrosophic domain, Single Valued Neutrosophic Coloring, An Integrated Neutrosophic and MOORA for Selecting Machine Tool, Plithogenic Fuzzy Whole Hypersoft Set, Construction of Operators and their Application in Frequency Matrix Multi Attribute Decision Making Technique, Pi-Distance of Rough Neutrosophic Sets for Medical Diagnosis, Machine learning in Neutrosophic Environment: A Survey.

Some similarity and entropy measurements of bipolar neutrosophic soft sets
  • Language: en
  • Pages: 21

Some similarity and entropy measurements of bipolar neutrosophic soft sets

In this paper, we proposed a different approach on bipolar neutrosophic soft sets and discussed their properties with examples which was initially introduced by Mumtaz Ali et al.[15]. Also we defined some similarity and entropy measurements between any two bipolar neutrosophic soft sets. Further, we proposed the representation of a 2-D digital image in bipolar neutrosophic soft domain. Finally, based on similarity measurements, we propose a decision making process of real-time problem in image analysis.