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Relevant bibliographies by topics / Quantum automata categories

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Academic literature on the topic 'Quantum automata categories'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Quantum automata categories"

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Ion, C. Baianu, Georgescu George, F. Glazebrook James, and Brown Ronald. "BRAIN Journal - Lukasiewicz-Moisil Many-Valued Logic Algebra of Highly-Complex Systems." Brain Journal 1, SPECIAL ISSUE ON COMPLEXITY IN SCIENCES AND ARTIFICIAL INTELLIGENCE (2010): 1–11. https://doi.org/10.5281/zenodo.1037321.

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ABSTRACT The fundamentals of ÃLukasiewicz-Moisil logic algebras and their applications to complex genetic network dynamics and highly complex systems are presented in the context of a categorical ontology theory of levels, Medical Bioinformatics and self-organizing, highly complex systems. Quantum Automata were defined in refs.[2] and [3] as generalized, probabilistic automata with quantum state spaces [1]. Their next-state functions operate through transitions between quantum states defined by the quantum equations of motions in the Schr¨odinger representation, with both initial and boundary

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N'Danikou, Kuassi Alawénon, Adigla Appolinaire Wédjangnon, Charles Coômlan Hounton, and Christine Ajokè Ifètayo Nougbodé Ouinsavi. "Change Monitoring and Assessment of Land Use and Land Cover for the Municipality of Ouessè in Benin by the Modules for Land Use Change Evaluation Plugin." International Journal of Agricultural and Environmental Information Systems 16, no. 1 (2025): 1–18. https://doi.org/10.4018/ijaeis.369814.

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Assessing land use and land cover (LULC) changes is crucial in sub-Saharan Africa due to population growth and land degradation, emphasizing the significance of effective land use planning and management. In this study, the authors used the modules for land use change simulations plugin within the quantum geographic information system software to analyze and predict LULC change in the Ouessè municipality. The authors used Landsat images and a cellular automata-artificial neural network model to predict future LULC scenarios. Major LULC categories included woodlands, agricultural land, plantati

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Gadim, Mahya Rahimpour, and Nima Jafari Navimipour. "Quantum-Dot Cellular Automata in Designing the Arithmetic and Logic Unit: Systematic Literature Review, Classification and Current Trends." Journal of Circuits, Systems and Computers 27, no. 10 (2018): 1830005. http://dx.doi.org/10.1142/s0218126618300052.

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Quantum-dot Cellular Automata (QCA) presents a new model at Nano-scale for possible substitution of conventional Complementary Metal–Oxide–Semiconductor (CMOS) technology. On the other hand, an Arithmetic Logic Unit (ALU) is a digital electronic circuit which performs arithmetic and bitwise logical operations on integer binary numbers. Therefore, QCA-based ALU is an important part of the processor in order to develop a full capability processor. Although the QCA has become very important, there is not any comprehensive and systematic work on studying and analyzing its important techniques in t

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Ayaz, Ahmed Faridi, and Hiwarkar Tryambak. "Multimodal Sentiment Analysis: A Systematic review of History, Datasets, Multimodal Fusion Methods, Applications, Challenges and Future Directions." Journal of Research & Development' 14, no. 20 (2022): 85–90. https://doi.org/10.5281/zenodo.7525024.

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<strong>Abstract</strong> Sentiment analysis (SA), a buzzword in the fields of artificial intelligence (AI) and natural language processing (NLP), is gaining popularity. Due to numerous SA applications, there is an increasing need to automate the procedure of analysing the user's feelings concerning any products or services. Multimodal Sentiment Analysis (MSA), a branch of sentiment analysis that uses many modalities, is a rapidly growing topic of study as more and more opinions are expressed through videos rather than just text. Recent advances in machine learning are used by MSA to advan

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Youssef, Ait Ameur, Elguerch Badr, Novaren Veraldo, and Dommane Hamza. "A Comprehensive Analysis of Hybrid ConvNeXt and Vision Transformer Architectures for Skin Cancer Classification: Evaluating Simpler vs. Advanced Models on the HAM10000 Dataset." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 1808–15. https://doi.org/10.22214/ijraset.2025.70514.

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Abstract: Skin cancer, with melanoma as its most lethal form, continues to challenge global healthcare systems, withanestimated2.5millionnewcasesreportedin2025alonebytheWorldHealthOrganization.Thisextensivestudyevaluates two innovative hybrid deep learning architectures for automated skin lesion classification using the HAM10000 dataset, comprising over 10,000 dermoscopic images across seven diagnostic categories. Architecture 1, a hybrid model integrating ConvNeXt for local feature extraction with Vision Transformer (ViT) for global context, achieves a commendable 94.5% accuracy.Architecture

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Yannikov, I. M., M. V. Telegina, and R. A. Galiakberov. "Automated System for Classification of Environmental Situations Based on the Analysis of the State of Environmental Objects." Intellekt. Sist. Proizv. 20, no. 2 (2022): 96–105. http://dx.doi.org/10.22213/2410-9304-2022-2-96-105.

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The article is devoted to the creation of automated systems for classification of environmental situations based on the analysis of the states of environmental objects. The article analyzes the existing environmental problems, the procedure for their identification, determining the degree of their severity. The main provisions of ecological mapping are given. Based on the indicators of the results of the influence of society and the environment on each other, the stages of assessing environmental situations according to different gradations of their severity are shown. The procedure for perfor

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Chakravarty, Sujit. "The Curriculum in NDT Training Have to Include Basics Information Technology to Accomplish Reliability of Automated NDT Result's." e-Journal of Nondestructive Testing 29, no. 6 (2024). http://dx.doi.org/10.58286/29891.

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Automation in Non-Destructive Testing (NDT) is a reality of modern manufacturing and quality assurance. Information technology applications are simultaneously developed and applied to different fields of NDT methods. The future of doing reliability checks using automated system is inevitable. The results are important to make a variety of decisions regarding the quality of a product and/or service, hence affecting safety and reliability. Depending on artificial intelligence and quantum device development, various NDT training schemes have to adopt a new curriculum to address the issue of the b

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Mr., Chirag G. Mohature, Pranay N. Bawane Mr., Harshal K. Khapekar Mr., and Pragati Patil Dr. "INDUSTRY TRANSFORMATION DRIVEN BY AI: A MULTIDISCIPLINARY APPROACH TO INNOVATION AND ETHICS." June 7, 2025. https://doi.org/10.5281/zenodo.15474908.

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The goal of the quickly evolving discipline of artificial intelligence (AI) in computer science is to create machines that can replicate human cognitive functions including learning, thinking, and decision-making. In general, artificial intelligence (AI) can be divided into three categories: narrow AI, which focuses on specific tasks like virtual help or speech recognition; broad AI, which seeks to mimic the entire spectrum of human intelligence; and super AI, which is a speculative idea in which computers are able to think more intelligently than humans [1]. AI is now a force that is revoluti

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Mr., Chirag G. Mohature, Pranay N. Bawane Mr., Harshal K. Khapekar Mr., and Pragati Patil Dr. "INDUSTRY TRANSFORMATION DRIVEN BY AI: A MULTIDISCIPLINARY APPROACH TO INNOVATION AND ETHICS." June 7, 2025. https://doi.org/10.5281/zenodo.15593355.

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The goal of the quickly evolving discipline of artificial intelligence (AI) in computer science is to create machines that can replicate human cognitive functions including learning, thinking, and decision-making. In general, artificial intelligence (AI) can be divided into three categories: narrow AI, which focuses on specific tasks like virtual help or speech recognition; broad AI, which seeks to mimic the entire spectrum of human intelligence; and super AI, which is a speculative idea in which computers are able to think more intelligently than humans [1]. AI is now a force that is revoluti

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Mr., Chirag G. Mohature, Pranay N. Bawane Mr., Harshal K. Khapekar Mr., and Pragati Patil Dr. "INDUSTRY TRANSFORMATION DRIVEN BY AI: A MULTIDISCIPLINARY APPROACH TO INNOVATION AND ETHICS." June 7, 2025. https://doi.org/10.5281/zenodo.15607794.

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The goal of the quickly evolving discipline of artificial intelligence (AI) in computer science is to create machines that can replicate human cognitive functions including learning, thinking, and decision-making. In general, artificial intelligence (AI) can be divided into three categories: narrow AI, which focuses on specific tasks like virtual help or speech recognition; broad AI, which seeks to mimic the entire spectrum of human intelligence; and super AI, which is a speculative idea in which computers are able to think more intelligently than humans [1]. AI is now a force that is revoluti

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Dissertations / Theses on the topic "Quantum automata categories"

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Bar, Krzysztof. "Automated rewriting for higher categories and applications to quantum theory." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:ba1d3341-873d-4255-8400-c2277b7648f3.

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The contribution of this thesis is a novel framework for rewriting in higher categories. Its theoretical foundation is the theory of quasistrict higher categories and the practical realisation is a proof assistant Globular. The framework introduces the notions of diagrams and signatures as new mutually-recursive structures that give the algebraic basis for the approach. These structures are related the notion of an n-polygraph, but allow reasoning about quasistrict higher categorical structures in a way amenable to computer implementation. Building on this, we propose a new definition of a qua

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Kissinger, Aleks. "Pictures of processes : automated graph rewriting for monoidal categories and applications to quantum computing." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:61fb3161-a353-48fc-8da2-6ce220cce6a2.

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This work is about diagrammatic languages, how they can be represented, and what they in turn can be used to represent. More specifically, it focuses on representations and applications of string diagrams. String diagrams are used to represent a collection of processes, depicted as "boxes" with multiple (typed) inputs and outputs, depicted as "wires". If we allow plugging input and output wires together, we can intuitively represent complex compositions of processes, formalised as morphisms in a monoidal category. While string diagrams are very intuitive, existing methods for defining them rig

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Books on the topic "Quantum automata categories"

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Argentina) Luis Santaló Winter School-CIMPA Research School Topics in Noncommutative Geometry (3rd 2010 Buenos Aires. Topics in noncommutative geometry: Third Luis Santaló Winter School-CIMPA Research School Topics in Noncommutative Geometry, Universidad de Buenos Aires, Buenos Aires, Argentina, July 26-August 6, 2010. Edited by Cortiñas, Guillermo, editor of compilation. American Mathematical Society, 2012.

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Conference papers on the topic "Quantum automata categories"

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Marchuk, Andrii. "YOLO ALGORITHM USING IN DECISION SUPPORT SYSTEMS BASED ON THE USE OF NEURAL NETWORKS." In 17th IC Measurement and Control in Complex Systems. VNTU, 2024. https://doi.org/10.31649/mccs2024.5-07.

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In recent years, computer technologies, particularly computer vision technologies, have played an increasingly important role in medical diagnostics, including otoscopy—the process of visualizing the external auditory canal and tympanic membrane to detect ear pathologies. However, otoscopic images have several characteristics that complicate automatic classification, such as variations in lighting, orientation, and the presence of artifacts. These factors necessitate the development of reliable deep learning models for accurate disease classification. This paper examines modern approaches to a

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Moreno, Marcelo, Maria Isabel Gonçalves da Silva, Clodoaldo Antônio de Sá, et al. "Breast cancer mortality and pesticide use in the Western Mesoregion of Santa Catarina, Brazil." In XXVI Brazilian Mastology Congress. Mastology, 2024. https://doi.org/10.29289/259453942024v34s2032.

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Introduction: Santa Catarina has significant agricultural productivity and ranks among the ten largest consumers of pesticides in Brazil. The state is notable for grain production, which exceeded 6.5 million tons in the 2021/2022 harvest. In the western mesoregion of the state, grain production is also prominent, especially with maize and soybean cultivation, where endocrine-disrupting pesticides are systematically used throughout the production chain of these transgenic crops. In Santa Catarina, considering female deaths from malignant neoplasms in 2020, 35% were related to breast cancer. The

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