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Journal articles on the topic 'Neutrosophic soft inverse images'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Al-Sharqi, Faisal Al, Abd Ghafur Ahmad, and Ashraf Al Al-Quran. "Mapping on Interval Complex Neutrosophic Soft Sets." International Journal of Neutrosophic Science 19, no. 4 (2022): 77–85. http://dx.doi.org/10.54216/ijns.190406.

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The neutrosophic idea is a fertile environment adaptable to different mathematical tools. This paper aims to introduce the mapping of complex interval neutrosophic soft sets (MI-CNSSs). Further, the images and inverse images of complex interval neutrosophic soft sets and their properties are explored. These will be supported by concrete examples, and this paper will present some theorems about complex interval neutrosophic soft images and inverse images.

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Al-Quran, Ashraf, Nasruddin Hassan, and Shawkat Alkhazaleh. "Fuzzy Parameterized Complex Neutrosophic Soft Expert Set for Decision under Uncertainty." Symmetry 11, no. 3 (2019): 382. http://dx.doi.org/10.3390/sym11030382.

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In the definition of the complex neutrosophic soft expert set (CNSES), parameters set is a classical set, and the parameters have the same degree of importance, which is considered as 1. This poses a limitation in modeling of some problems. This paper introduces the concept of fuzzy parameterized complex neutrosophic soft expert set (FP-CNSES) to handle this issue by assigning a degree of importance to each of the problem parameters. We further develop FP-CNSES by establishing the concept of weighted fuzzy parameterized complex neutrosophic soft expert set (WFP-CNSES) based on the idea that ea

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R., R., KR Balasubramanian, and A. Vadivel. "Interval Valued Neutrosophic Subalgebra in INK-Algebra." International Journal of Neutrosophic Science 24, no. 1 (2024): 51–64. http://dx.doi.org/10.54216/ijns.240105.

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This work presents the concept of interval-valued neutrosophic INK-subalgebras, also known as IV N INKsubalg’s, which are the level and strong level neutrosophic INK-subalgebras. Next, we establish and validate a few theorems that establish the connection between these concepts and neutrosophic INK-subalgebras. We define the images and inverse images of IV N INK-subalgebras and study the transformations of the homomorphic images and inverse images of interval valud neutrosophic (briefly, IV N) INK-subalgebra into IV N INK-subalgebras.

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Kharal, Athar, and B. Ahmad. "Mappings on Fuzzy Soft Classes." Advances in Fuzzy Systems 2009 (2009): 1–6. http://dx.doi.org/10.1155/2009/407890.

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We define the concept of a mapping on classes of fuzzy soft sets and study the properties of fuzzy soft images and fuzzy soft inverse images of fuzzy soft sets, and support them with examples and counterexamples.

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KHARAL, ATHAR, and B. AHMAD. "MAPPINGS ON SOFT CLASSES." New Mathematics and Natural Computation 07, no. 03 (2011): 471–81. http://dx.doi.org/10.1142/s1793005711002025.

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In this paper, we define the notion of a mapping on soft classes and study several properties of images and inverse images of soft sets supported by examples and counterexamples. Finally, these notions have been applied to the problem of medical diagnosis in medical expert systems.

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Prasad, Archana Kumari, Mahima Thakur, Jyoti Pandey Bajpai, and Samajh Singh Thakur. "MAPPINGS ON FERMATEAN FUZZY SOFT CLASSES." South East Asian J. of Mathematics and Mathematical Sciences 20, no. 01 (2024): 197–210. http://dx.doi.org/10.56827/seajmms.2024.2001.15.

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This paper defined mappings on Fermatean fuzzy soft classes and established some results related to images and inverse images of Fermatean fuzzy soft sets under these mappings. Further Fermatean fuzzy soft continuous , Fermatean fuzzy soft open and Fermatean fuzzy soft closed mappings in Fermatean fuzzy soft topological spaces are created and established some theorems related their properties and characterizations.

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Zorlutun, İdris. "Soft set-valued mappings and their application in decision making problems." Filomat 35, no. 5 (2021): 1725–33. http://dx.doi.org/10.2298/fil2105725z.

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In this paper, we introduce the notion of a set-valued mapping on soft classes and study several properties of images and inverse images of soft sets supported by examples and counterexamples. Finally, these notions have been applied in decision making problems.

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Al-Quran, Ashraf, and Shawkat Alkhazaleh. "Relations between the Complex Neutrosophic Sets with Their Applications in Decision Making." Axioms 7, no. 3 (2018): 64. http://dx.doi.org/10.3390/axioms7030064.

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The basic aim of soft computing is to trade precision for a tractableness and reduction in solution cost by pushing the limits of tolerance for imprecision and uncertainty. This paper introduces a novel soft computing technique called complex neutrosophic relation (CNR) to evaluate the degree of interaction between two complex neutrosophic sets (CNSs). CNSs are used to represent two-dimensional information that are imprecise, uncertain, incomplete and indeterminate. The Cartesian product of CNSs and subsequently the complex neutrosophic relation is formally defined. This relation is generalise

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Imène, Im�, and Afef Selmi. "Integrating Neutrosophic Vague N-Soft Sets with Chimp Optimization Algorithm for Sentiment Analysis on Social Media." International Journal of Neutrosophic Science 25, no. 1 (2025): 51–63. http://dx.doi.org/10.54216/ijns.250104.

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The swift development in social media through the internet produces vast data in a real-time scenario that has startling effects on large datasets. It generated the high-level use of sentiments and emotions in social networking media. Sentiment analysis (SA) using a neutrosophic set presents a new technique to handle the integral ambiguity and uncertainty in text datasets. Different from classical approaches, which categorize sentiment as positive, negative, or neutral, the neutrosophic set allows for the comparison analysis of truth-, indeterminacy-, and falsie-membership functions for all th

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Al-Saidi, Muslem, Áron Ballagi, Oday Ali Hassen, and Saad M. Saad. "Cognitive Classifier of Hand Gesture Images for Automated Sign Language Recognition: Soft Robot Assistance Based on Neutrosophic Markov Chain Paradigm." Computers 13, no. 4 (2024): 106. http://dx.doi.org/10.3390/computers13040106.

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In recent years, Sign Language Recognition (SLR) has become an additional topic of discussion in the human–computer interface (HCI) field. The most significant difficulty confronting SLR recognition is finding algorithms that will scale effectively with a growing vocabulary size and a limited supply of training data for signer-independent applications. Due to its sensitivity to shape information, automated SLR based on hidden Markov models (HMMs) cannot characterize the confusing distributions of the observations in gesture features with sufficiently precise parameters. In order to simulate un

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Al Ghour, Samer. "On Soft Generalized ω-Closed Sets and Soft T1/2 Spaces in Soft Topological Spaces". Axioms 11, № 5 (2022): 194. http://dx.doi.org/10.3390/axioms11050194.

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In this paper, we define a soft generalized ω-closed set, which is a generalization of both the soft ω-closed set and the soft generalized closed set. We show that the classes of generalized closed sets and generalized ω-closed sets coincide in soft anti-locally countable soft topological spaces. Additionally, in soft locally countable soft topological spaces, we show that every soft set is a soft generalized ω-closed set. Furthermore, we prove that the classes of soft generalized closed sets and soft generalized ω-closed sets coincide in the soft topological space (X,τω,A). In addition to the

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A.S.C.S.Sastry, P.V.V.Kishore MIEE, Ch Raghava Prasad, and M.V.D.Prasad. "Denoising Ultrasound Medical Images." International Journal of Measurement Technologies and Instrumentation Engineering 5, no. 1 (2015): 1–14. http://dx.doi.org/10.4018/ijmtie.2015010101.

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Medical ultrasound imaging has revolutioned the diagnostics of human body in the last few decades. The major drawback of ultrasound medical images is speckle noise. Speckle noise in ultrasound images is because of multiple reflections of ultrasound waves from hard tissues. Speckle noise degrades the medical ultrasound images lessening the visible quality of the image. The aim of this paper is to improve the image quality of ultrasound medical images by applying block based hard and soft thresholding on wavelet coefficients. Medical ultrasound image transformation to wavelet domain uses debauch

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Ivanov, A. P. "Correcting the infrared images of soft biological tissues." Proceedings of the National Academy of Sciences of Belarus. Physics and Mathematics Series 55, no. 1 (2019): 110–17. http://dx.doi.org/10.29235/1561-2430-2019-55-1-110-117.

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Non-invasive (remote) thermographic methods based on IR images are being actively implemented. Using the calculation results of the temperature increment that occurs when a pathological source exists in the person’s skin, a number of ways of solving “inverse problems” are proposed. These include the determination of the depth of the thermal source by measuring the mono or polychrome increment of the normalized brightness of the tissue surface at one point; the source depth and heat transfer parameter by measuring the poly or monochrome one of the normalized brightness (or temperature) at two p

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Wu, Xizeng, and Hong Liu. "A reconstruction formula for soft tissue X-ray phase tomography." Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics 12, no. 4 (2004): 273–79. http://dx.doi.org/10.3233/xst-2004-00112.

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In clinical x-ray phase imaging, the significant tissue attenuation cannot be ignored. In x-ray phase tomography, the presence of tissue attenuation requires acquisition of at least two images for the retrieval of tissue phase for a given tomographic view. This paper presents an important observation that the same map of the projected electron densities can determine both the phase and attenuation maps of soft tissues, provided that the dominance of incoherent scattering holds. Based on this observation a new strategy to perform the phase retrieval was developed. A 3-D phase tomography reconst

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Močkoř, Jiří. "Semiring-Valued Fuzzy Sets and F-Transform." Mathematics 9, no. 23 (2021): 3107. http://dx.doi.org/10.3390/math9233107.

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The notion of a semiring-valued fuzzy set is introduced for special commutative partially pre-ordered semirings, including basic operations with these fuzzy structures. It is showed that many standard MV-algebra-valued fuzzy type structures with standard operations, such as hesitant, intuitionistic, neutrosophic or fuzzy soft sets are, for appropriate semirings, isomorphic to semiring-valued fuzzy sets with operations defined. F-transform and inverse F-transform are introduced for semiring-valued fuzzy sets and properties of these transformations are investigated. Using the transformation of M

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Deabes, Wael, Alaa Sheta, Kheir Eddine Bouazza, and Mohamed Abdelrahman. "Application of Electrical Capacitance Tomography for Imaging Conductive Materials in Industrial Processes." Journal of Sensors 2019 (December 28, 2019): 1–22. http://dx.doi.org/10.1155/2019/4208349.

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This paper presents highly robust, novel approaches to solving the forward and inverse problems of an Electrical Capacitance Tomography (ECT) system for imaging conductive materials. ECT is one of the standard tomography techniques for industrial imaging. An ECT technique is nonintrusive and rapid and requires a low burden cost. However, the ECT system still suffers from a soft-field problem which adversely affects the quality of the reconstructed images. Although many image reconstruction algorithms have been developed, still the generated images are inaccurate and poor. In this work, the Cap

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Zotov, D. I., K. V. Dmitriev, and O. D. Rumyantseva. "Reconstruction of sound speed and absorption coefficient of soft biological tissues by ultrasound tomography." Journal of Physics: Conference Series 2822, no. 1 (2024): 012002. http://dx.doi.org/10.1088/1742-6596/2822/1/012002.

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Abstract The problem of reconstructing the internal structure of an object under study with high resolution is considered. The structure is described by spatial distributions of sound speed and ultrasound absorption coefficient. These acoustic characteristics are reconstructed in the form of quantitative values. Such a problem set is typical for the inverse problems of tomographic type. Special algorithms for processing experimental data have been developed for this purpose. High resolution of reconstructed images is ensured thanks to multi-view information about the object under study and tak

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Teske, Hendrik, Kathrin Bartelheimer, Rolf Bendl, Eva M. Stoiber, and Kristina Giske. "Handling images of patient postures in arms up and arms down position using a biomechanical skeleton model." Current Directions in Biomedical Engineering 3, no. 2 (2017): 469–72. http://dx.doi.org/10.1515/cdbme-2017-0099.

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AbstractDeformable image registration is gradually becoming the tool of choice for motion extraction during adaptive radiotherapy. Achieving a motion vector field that accurately represents the anatomical changes requires a tissue specific transformation model. Therefore, widely used spline based models most likely fail in appropriately reproducing large anatomical changes such as the arms of the patient being positioned up and down. We present the application of a tissue specific biomechanical model with the goal to mimic patient motion even in presence of large motion. Based on the planning

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Song, Yang, Lan Xiong, Zhenyou Liu, Yongye Wu, and Zhanlong Zhang. "Research on Human Lung Impedance Tomography Based on Soft Thresholding Image Segmentation and Reduced-Order Tikhonov Regularization." Applied Sciences 14, no. 8 (2024): 3309. http://dx.doi.org/10.3390/app14083309.

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The lung is one of the most vital organs in the human body, and its condition is closely correlated with overall health. Electrical impedance tomography (EIT), as a biomedical imaging technique, often produces low-quality reconstructed images due to its inherent ill-posedness in solving the inverse problem. To address this issue, this paper proposes a soft-threshold region segmentation algorithm with a relaxation factor. This algorithm segments the reconstructed lung images into internal regions, edge regions, and background regions, resulting in clearer boundaries in the reconstructed images.

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Gao, Haoze, Yi Ren, Canghai Yin, Chaojun Zhao, Gang Luo, and Wei Chen. "Fracture morphologies and failure mechanism of TC4 alloy blades of aeroengine damaged by soft/hard object impact." Journal of Physics: Conference Series 3026, no. 1 (2025): 012023. https://doi.org/10.1088/1742-6596/3026/1/012023.

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Abstract In this paper, the differences in macroscopic and microscopic fracture morphology of TC4 alloy blades damaged by soft/hard object impact were quantitatively studied. The results show that the crack length formed by a hard object impact is 2.83 mm, which is much smaller than that of a soft object impact. Meanwhile, a secondary crack perpendicular to the main crack tip is also formed by hard object impact. The scanning electron microscope (SEM) fracture morphology images of the cracks induced by hard object impact are mainly characterized by a large number of ductile dimples and a small

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Yang, Xiaocheng, Xiang You, Lin Wu, et al. "A Radio-interferometric Imaging Method Based on the Wavelet Tight Frame." Astronomical Journal 169, no. 3 (2025): 130. https://doi.org/10.3847/1538-3881/ada28d.

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Abstract Reconstructing the signal from measured visibilities in radio interferometry is an ill-posed inverse problem. In this paper, we present a novel radio-interferometric imaging method based on the wavelet tight frame aimed at efficiently obtaining an accurate solution. In our approach, the signal is sparsely represented by the directional tensor product complex tight framelets, which can effectively capture the texture and shape features of the images. To enhance computational efficiency, we employ the projected fast iterative soft-thresholding algorithm for solving the l 1-norm minimiza

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Mwambela, Alfred, and Josiah Nombo. "Image Reconstruction Method Based on Iterative Linear Back Projection and Logistic Forward Solver for Electrical Capacitance Tomography Measurement System." Tanzania Journal of Science 50, no. 2 (2024): 347–58. http://dx.doi.org/10.4314/tjs.v50i2.14.

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Image reconstruction is one of the important tasks in the application of electrical capacitance tomography (ECT) systems. Though numerous algorithms have been implemented, it is often challenging to obtain satisfactory images in all imaging regions by the use of a single algorithm due to the soft-field nature of ECT systems. The preferred iterative reconstruction algorithms are highly computationally inefficient. A new iterative reconstruction algorithm is proposed which combine iterative Linear Back Projection and Logistic Regression. In this method, the solution to the ECT forward problem is

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Pradeep, K., S. Balasubramanian, Hemalatha Karnan, and K. Karthick Babu. "Segmentation of Fused CT and MRI Images with Brain Tumor." Asian Journal of Science and Applied Technology 6, no. 1 (2017): 1–4. http://dx.doi.org/10.51983/ajsat-2017.6.1.945.

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This paper proposes an approach for combining two multimodality images [CT and MRI] with tumor cell, helps to delineate the anatomical and physiological differences from one dataset to another using Wavelet transform and its inverse transform. Image fusion is the process that matches two or more image datasets resulting in a single image dataset. There are many fusion processes that can take place at different levels, in this paper focuses on pixel level fusion process, where each pixel from the input images [CT and MRI] are taken as composite input data for further processing. In this project

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Aswini, K. R. N., and S. Vijaya Raghavan. "Filtering of Corneal Images using Hybrid Wavelet Transform in the Cases of Keratoconus." Journal of Electronics and Informatics 4, no. 2 (2022): 101–13. http://dx.doi.org/10.36548/jei.2022.2.005.

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One of the most prevalent, bilateral, asymmetric, and progressive corneal diseases, keratoconus can have a slight to severe impact on vision. Early on, the condition is frequently misdiagnosed as irregular astigmatism, delaying diagnosis. Although we have cutting-edge diagnostic techniques, the results are insufficient to fully assess the corneal health at different areas, making it challenging to plan additional treatment programmes. Here, image pre-processing techniques using a Hybrid Wavelet Transform of Discrete Wavelet Transform (DWT) and Stationary Wavelet Transform (SWT), followed by so

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Lee, Min-Jae, Gi-Mun Um, Joungil Yun, Won-Sik Cheong, and Soon-Yong Park. "Enhanced Soft 3D Reconstruction Method with an Iterative Matching Cost Update Using Object Surface Consensus." Sensors 21, no. 19 (2021): 6680. http://dx.doi.org/10.3390/s21196680.

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In this paper, we propose a multi-view stereo matching method, EnSoft3D (Enhanced Soft 3D Reconstruction) to obtain dense and high-quality depth images. Multi-view stereo is one of the high-interest research areas and has wide applications. Motivated by the Soft3D reconstruction method, we introduce a new multi-view stereo matching scheme. The original Soft3D method is introduced for novel view synthesis, while occlusion-aware depth is also reconstructed by integrating the matching costs of the Plane Sweep Stereo (PSS) and soft visibility volumes. However, the Soft3D method has an inherent lim

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Ahmed, Ahmed Shihab. "ON-Line MRI Image Selection and Tumor Classification using Artificial Neural Network." Ibn AL- Haitham Journal For Pure and Applied Sciences 33, no. 1 (2020): 162. http://dx.doi.org/10.30526/33.1.2363.

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When soft tissue planning is important, usually, the Magnetic Resonance Imaging (MRI) is a medical imaging technique of selection. In this work, we show a modern method for automated diagnosis depending on a magnetic resonance images classification of the MRI. The presented technique has two main stages; features extraction and classification. We obtained the features corresponding to MRI images implementing Discrete Wavelet Transformation (DWT), inverse and forward, and textural properties, like rotation invariant texture features based on Gabor filtering, and evaluate the meaning of every pr

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Xue, Zhiguang, Hejun Zhu, and Sergey Fomel. "Full-waveform inversion using seislet regularization." GEOPHYSICS 82, no. 5 (2017): A43—A49. http://dx.doi.org/10.1190/geo2016-0699.1.

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Because of inaccurate, incomplete, and inconsistent waveform records, full-waveform inversion (FWI) in the framework of a local optimization approach may not have a unique solution, and thus it remains an ill-posed inverse problem. To improve the robustness of FWI, we have developed a new model regularization approach that enforced the sparsity of solutions in the seislet domain. The construction of seislet basis functions requires structural information that can be estimated iteratively from migration images. We implement FWI with seislet regularization using nonlinear shaping regularization

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Marchiori, G., S. Zaffagnini, L. Cavazza, et al. "COMPREHENSIVE EVALUATION OF MUSCULOSKELETAL SOFT TISSUES BY CONTRAST-ENHANCED MICROCT AND HISTOLOGY: PERSPECTIVE AND LIMITS." Orthopaedic Proceedings 106-B, SUPP_18 (2024): 108. http://dx.doi.org/10.1302/1358-992x.2024.18.108.

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IntroductionHistology is still considered the gold standard method for the evaluation of soft tissues in the musculoskeletal field, thanks to the possibility of studying structures using different staining and high magnification microscopy. To overcome the intrinsic limits of this method, contrast enhanced microtomographic (CE- microCT) protocols are constantly evolving to allow 3D study of soft tissues. However, no standardized approaches are available, and many concerns exist about the alterations induced to the samples.MethodmicroCT/histology protocols were explored on human tendons and men

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Salam, Amira, Mai Mohamed, and Ibrahim M. Hezam. "Inundations and Climatic Fluctuations: Prospects, Difficulties, and Recommendations." Climate Change Reports 1 (February 17, 2024): 30–47. http://dx.doi.org/10.61356/j.ccr.2024.1210.

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At the momentarily, most of the global economic losses resulting from catastrophes are brought about by aerial floods which are expected to intensify due to climate change. Accordingly, sea level rise brought on by climate change will make coastal flooding more likely in many areas. cyclone, however, is also significantly impacted by climate change. Whilst urban flood mitigation and management are becoming more widely acknowledged as worldwide concerns. Moreover, considering catalysts for seeking methodologies for treating these natural disasters. In the era of contemporary technology, leverag

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van Gogh, Stefano, Subhadip Mukherjee, Jinqiu Xu, et al. "Iterative phase contrast CT reconstruction with novel tomographic operator and data-driven prior." PLOS ONE 17, no. 9 (2022): e0272963. http://dx.doi.org/10.1371/journal.pone.0272963.

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Breast cancer remains the most prevalent malignancy in women in many countries around the world, thus calling for better imaging technologies to improve screening and diagnosis. Grating interferometry (GI)-based phase contrast X-ray CT is a promising technique which could make the transition to clinical practice and improve breast cancer diagnosis by combining the high three-dimensional resolution of conventional CT with higher soft-tissue contrast. Unfortunately though, obtaining high-quality images is challenging. Grating fabrication defects and photon starvation lead to high noise amplitude

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Fan, Yuhong. "An Improved Magnetohydrodynamic Simulation of the 2006 December 13 Coronal Mass Ejection of NOAA Active Region 10930." Astrophysical Journal 941, no. 1 (2022): 61. http://dx.doi.org/10.3847/1538-4357/aca0ec.

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Abstract We present a magnetohydrodynamic simulation of the coronal mass ejection on 2006 December 13 in the emerging δ-sunspot NOAA Active Region 10930, improving upon a previous simulation by Fan as follows. (1) Incorporate an ambient solar wind instead of using a static potential magnetic field extrapolation as the initial state. (2) In addition to imposing the emergence of a twisted flux rope, also impose at the lower boundary a random electric field that represents the effect of turbulent convection, which drives field-line braiding and produces resistive and viscous heating in the corona

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Vasyukov, A. V. "Locating the Interface between Different Media Based on Matrix Ultrasonic Sensor Data Using Convolutional Neural Networks." Computational Mathematics and Information Technologies 8, no. 2 (2024): 60–67. http://dx.doi.org/10.23947/2587-8999-2024-8-2-60-67.

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Introduction. The study focuses on modelling the process of ultrasound medical examination in a heterogeneous environment with regions of significantly different sound speeds. Such scenarios typically arise when visualizing brain structures through the skull. The aim of this work is to compare possible approaches to determining the interface between acoustically contrasting media using convolutional neural networks.Materials and Methods. Numerical modelling of the direct problem is performed, obtaining synthetic calculated ultrasonic images based on known geometry and rheology of the area as w

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Wilkes, R., Y. Zhao, K. Cunningham, K. Kieswetter, and B. Haridas. "3D strain measurement in soft tissue: Demonstration of a novel inverse finite element model algorithm on MicroCT images of a tissue phantom exposed to negative pressure wound therapy." Journal of the Mechanical Behavior of Biomedical Materials 2, no. 3 (2009): 272–87. http://dx.doi.org/10.1016/j.jmbbm.2008.10.006.

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Sattar, Muhammad Awais, Matheus Martinez Garcia, Robert Banasiak, Luis M. Portela, and Laurent Babout. "Electrical Resistance Tomography for Control Applications: Quantitative Study of the Gas-Liquid Distribution inside A Cyclone." Sensors 20, no. 21 (2020): 6069. http://dx.doi.org/10.3390/s20216069.

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Phase separation based centrifugal forces is effective, and thus widely explored by the process industry. In an inline swirl separator, a core of the light phase is formed in the center of the device and captured further downstream. Given the inlet conditions, this gas core created varies in shape and size. To predict the separation behavior and control the process in an optimal way, the gas core diameter should be measured with the minimum possible intrusiveness. Process tomography techniques such as electrical resistance tomography (ERT) allows us to measure the gas core diameter in a fast a

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Mustafa, Firas Mahmood. "Image Enhancement based on the Histogram Equalization and Multiresolution Discrete Stationary Wavelet Transforms." Academic Journal of Nawroz University 11, no. 2 (2022): 50–59. http://dx.doi.org/10.25007/ajnu.v11n2a1323.

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In recent years, due to the tremendous development that took place on the Internet and its applications in the aspects of human life, the demands of using digital images have also increased dramatically, and that opens up horizons for scientific research in the field of improving the quality of the digital images by removing the noise that caused by to processes that are applied within network transmissions like performing storage, retrieval, and encryption to preserve privacy. All these effects are yielded to reduce image quality and loss of visual information. To surmount this problem, image

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Richter, Dustin, Jonathan Tobey, Natalia McIver, et al. "Poster 208: Changes in Posterior Tibial Slope Following "L" and "Inverse L" High Tibial Osteotomy: A Biomechanical Study." Orthopaedic Journal of Sports Medicine 10, no. 7_suppl5 (2022): 2325967121S0076. http://dx.doi.org/10.1177/2325967121s00769.

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Objectives: High tibial osteotomy (HTO) is a well-established procedure for addressing varus deformity of the knee or offloading the medial compartment in cases of medial compartment osteoarthritis. Altering the weightbearing axis of the tibia through HTO may result in unintended changes to the posterior tibial slope (PTS) and thus the sagittal stability of the knee. In 2003, Lobenhoffer described a biplanar “L” shaped HTO with an ascending cut in the coronal plane, leaving the tibial tubercle on the distal side of the osteotomy. Since then, multiple techniques have been described, including a

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Kobayashi, Hironori, Norihiko Yoshimura, Takayuki Katagiri, et al. "Evaluation of Liver Iron Deposition in Transfusion-Dependent Patients By Dual-Energy CT." Blood 128, no. 22 (2016): 3619. http://dx.doi.org/10.1182/blood.v128.22.3619.3619.

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Abstract [Introduction] The launch of the oral iron chelator "Deferasirox" has improved the outcomes of blood transfusion-dependent patients with iron overload in the last decade. Although serum ferritin (SF) remains the mostly commonly used metric to monitor body iron stores for decisions regarding the indication of iron chelate therapy, it is known to be affected by many factors. The liver iron concentration (LIC) is considered to be an indicator of total body iron stores, and the MR imaging-based R2 technique is the standard non-invasive technique used to evaluate LIC. However, this techniq

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Shawkat, Alkhazaleh, and Marei Emad. "Mappings on Neutrosophic Soft Classes." July 1, 2015. https://doi.org/10.5281/zenodo.22563.

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In 1995 Smarandache introduced the concept of neutrosophic set which is a mathematical tool for handling problems involving imprecise, indeterminacy and inconsistent data. In 2013 Maji introduced the concept of neutrosophic soft set theory as a general mathematical tool for dealing with uncertainty. In this paper we define the notion of a mapping on classes where the neutrosophic soft classes are collections of neutrosophic soft set. We also define and study the properties of neutrosophic soft images and neutrosophic soft inverse images of neutrosophic s

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Said, Broumi, Mumtaz Ali, and Smarandache Florentin. "MAPPINGS ON NEUTROSOPHIC SOFT EXPERT SETS." May 20, 2015. https://doi.org/10.5281/zenodo.49111.

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 In this paper we introduced  mapping on neutrosophic soft expert sets through which we can study the images and inverse images of neutrosophic soft expert sets. Further, we investigated the basic operations and other  related properties of mapping on neutrosophic soft expert sets in this paper. 

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Al-Sharqi, Faisal, Abd Ghafur Ahmad, and Ashraf Al-Quran. "Fuzzy parameterized-interval complex neutrosophic soft sets and their applications under uncertainty." Journal of Intelligent & Fuzzy Systems, October 11, 2022, 1–25. http://dx.doi.org/10.3233/jifs-221579.

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Interval complex neutrosophic soft set (ICNSS) is the generalization of complex neutrosophic soft set (CNSS) as it provides an interval-based membership structure to handle the complex neutrosophic soft data. However, in the definition of the ICNSS, parameters set is a classical set, and the parameters have the same degree of importance which is considered as 1. This poses a limitation in modeling of some problems. Therefore, we introduce the concept of fuzzy parameterized interval complex neutrosophic soft set (FP-ICNSS) based on idea that each of elements of parameters set has got an importa

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Sagvan, Y. Musa, and A. Asaad Baravan. "Mappings on Bipolar Hypersoft Classes." January 14, 2023. https://doi.org/10.5281/zenodo.7536095.

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Mappings are significant mathematical tools with many applications in our daily lives. The bipolar hypersoft set is one of the effective tools for dealing with ambiguity and vagueness. The purpose of this article is to define mappings between the classes of bipolar hypersoft sets. The notions of bipolar hypersoft image and bipolar hypersoft inverse image of bipolar hypersoft sets are then defined, and some of their properties are studied. Moreover, we discuss the relations between the bipolar hypersoft image and the bipolar hypersoft inverse image of the bipolar hypersoft sets. This proposed w

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NSS. "Algebraic Properties of Quasigroup Under Q−neutrosophic Soft Set." February 18, 2024. https://doi.org/10.5281/zenodo.10674590.

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The novel concept called neutrosophic set was launched to take care of indeterminate factors inreal-life data. The hybrid model of neutrosophic set and soft set has been widely studied in different areas ofalgebra, especially in associative structures such as fields, groups, rings, and modules. In this current paper,the novel concept is further introduce to a non-associative structure termed Q−neutrosophic soft quasigroup(Q−NSG) and investigate its different algebraic properties of the quasigroups. We shown the conditions forthe sets of α−level cut of Q−NSG to be

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Ashraf, Al-Quran, and Hassan Nasruddin. "Mapping on complex neutrosophic soft expert sets." August 26, 2018. https://doi.org/10.5281/zenodo.1413097.

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We introduce the mapping on complex neutrosophic soft expert sets. Further, we investigated the basic operations and other related properties of complex neutrosophic soft expert image and complex neutrosophic soft expert inverse image of complex neutrosophic soft expert sets.

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Al-Sharqi, Faisal, Abd Ghafur Ahmad, and Ashraf Al-Quran. "Interval complex neutrosophic soft relations and their application in decision-making." Journal of Intelligent & Fuzzy Systems, February 27, 2022, 1–27. http://dx.doi.org/10.3233/jifs-212422.

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Interval complex neutrosophic soft sets (I-CNSSs) refers to interval neutrosophic soft sets (I-NSSs) featuring three two-dimensional independent membership functions accordingly (falsity, indeterminacy, as well as uncertainty interval). A relation is a tool that helps in describing consistency and agreement between objects. Throughout this paper, we insert and discuss the interval complex neutrosophic soft relation (simply denoted by I-CNSR), a novel soft computing technique used to examine the interaction degree among corresponding models known as I-CNSSs. We present the definition of the Car

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Grebe-Ellis, Johannes, and Thomas Quick. "Soft Shadow Images." European Journal of Physics, March 27, 2023. http://dx.doi.org/10.1088/1361-6404/acc7da.

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Abstract In traditional optics education, shadows are often regarded as a mere triviality, namely as silhouettes of obstacles to the propagation of light. However, by examining a series of shadow phenomena from an embedded perspective, we challenge this view and demonstrate how in general both the shape of object and light source have significant impact on the resulting soft shadow images. Through experimental and mathematical analysis of the imaging properties of inverse objects, we develop a generalized concept of shadow images as complementary phenomena. Shadow images are instructive exampl

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Vijayabalaji, S., N. Thillaigovindan, N. Sathiyaseelan, and S. Broumi. "Enhancing Failure Mode and Effect Analysis with Neutrosophic Inverse Soft Expert Sets." November 30, 2023. https://doi.org/10.5281/zenodo.10224254.

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.., Shazia, Muhammad .., Midha .., and Florentin Smarandache. "Plithogenic Subjective Hyper-Super-Soft Matrices with New Definitions Local, Global, Universal Subjective Ranking Model." International Journal of Neutrosophic Science, 2020, 56–79. http://dx.doi.org/10.54216/ijns.060205.

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In this paper, we initially introduce a novel type of matrix representation of Plithogenic Crisp/Fuzzy/Intuitionistic/Neutrosophic Hypersoft Set named as Plithogenic Crisp/Fuzzy/Intuitionistic/Neutrosophic Hypersoft Matrix, which is generated by multiple parallel sheets of matrices. Furthermore, these parallel sheets are representing parallel universes or parallel realities (a combination of attributes and sub-attributes w.r.t. subjects). We represent cross-sectional cuts of these hyper-soft matrices as parallel sheets (images of the expanded universe). Later, we utilize these Hypersoft matric

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Shazia, Rana, Saeed Muhammad, Qayyum Midha, and Smarandache Florentin. "Plithogenic Subjective Hyper-Super-Soft Matrices with New Definitions & Local, Global, Universal Subjective Ranking Model." August 18, 2020. https://doi.org/10.5281/zenodo.3989833.

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In this paper, we initially introduce a novel type of matrix representation of Plithogenic Crisp/Fuzzy/Intuitionistic/Neutrosophic Hypersoft Set named as Plithogenic Crisp/Fuzzy/Intuitionistic/Neutrosophic Hypersoft Matrix, which is generated by multiple parallel sheets of matrices. Furthermore, these parallel sheets are representing parallel universes or parallel realities (a combination of attributes and sub-attributes w.r.t. subjects). We represent cross-sectional cuts of these hyper-soft matrices as parallel sheets (images of the expanded universe). Later, we utilize these Hypersoft matric

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NSS. "Empowering Artificial Intelligence Techniques with Soft Computing of Neutrosophic Theory in Mystery Circumstances for Plant Diseases." April 2, 2024. https://doi.org/10.5281/zenodo.10905886.

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Plant diseases are one of the factors that lead to yield and economic losses, which have a direct effect on national and international food production systems. One of the most essential ways to avoid agricultural product loss or reduction in amount is to diagnose plant diseases promptly and accurately. Hence, the diagnosis process for plants is crucial and should be conducted accurately. Moreover, this study focuses on this process by constructing an Artificiality Diagnostics Framework (ADF) to serve the study’s objectives which entailed conducting diagnosis for

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Muhmmad, Ahsan, Saeed Muhammad, and Ur Rahman Atiqe. "A Theoretical and Analytical Approach for Fundamental Framework of Composite mappings on Fuzzy Hypersoft Classes." September 7, 2021. https://doi.org/10.5281/zenodo.5486295.

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Mapping is a fundamental mathematical concept that is used in many elementary areas of science and mathematics and has numerous applications. The core purpose of this study is to provide a theoretical and analytical approach for carving out a basic structure of composite mappings on the classes of Fuzzy Hypersoft (FHS) sets. It is a comprehensive study of existing concepts regarding mappings on fuzzy soft, soft and hesitant fuzzy soft classes through characterizing of composite mappings on FHS classes. Moreover, certain generalized properties of mappings on FHS classes like FHS images and FHS

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