Готові списки джерел за темами / Brain model: artificial intelligence

Зміст

Статті в журналах
Дисертації
Книги
Частини книг
Тези доповідей конференцій
Звіти організацій

Добірка наукової літератури з теми "Brain model: artificial intelligence"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями

Оберіть тип джерела:

Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Brain model: artificial intelligence".

Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.

Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.

Статті в журналах з теми "Brain model: artificial intelligence"

Viorel, Gaftea. "BRAIN Journal - Computational Intelligence in a Human Brain Model." BRAIN - Broad Research in Artificial Intelligence and Neuroscience 7, no. 2 (2016): 17–24. https://doi.org/10.5281/zenodo.1044298.

Повний текст джерела

Анотація:

ABSTRACT This paper focuses on the current trends in the domain of brain research and on the current stage of development of the research for software and hardware solutions, communication capabilities between human beings and machines, new technologies, nanoscience and Internet of Things (IoT) devices. The proposed model for the Human Brain assumes the main similarities between human intelligence and the chess game thinking process. Tactical and strategic reasoning and the need to follow the rules of the chess game are all very similar to the activities of the human brain. The main objective

Стилі APA, Harvard, Vancouver, ISO та ін.

Kostas, Zotos. "Computer Algebra Systems & Artificial Intelligence." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 15, no. 2 (2024): 427–36. https://doi.org/10.18662/brain/15.2/584.

Повний текст джерела

Анотація:

From four-function calculators to calculators (or computers) with Computer Algebra System (CAS) software, Mathematics computing technology has advanced. With just a few button pushes, CASs can solve a wide range of mathematical problems, which is a true quantum leap in technology. The implications of having software in the classroom that can, for example, expand and factorize algebraic expressions, solve equations, differentiate functions, and find anti-derivatives are causing the mathematical community to engage in a heated debate about whether this is one of the most exciting or frighten

Стилі APA, Harvard, Vancouver, ISO та ін.

Weigand, Edda. "Dialogue and Artificial Intelligence." Language and Dialogue 9, no. 2 (2019): 294–315. http://dx.doi.org/10.1075/ld.00042.wei.

Повний текст джерела

Анотація:

Abstract The article focuses on a few central issues of dialogic competence-in-performance which are still beyond the reach of models of Artificial Intelligence (AI). Learning machines have made an amazing step forward but still face barriers which cannot be crossed yet. Linguistics is still described at the level of Chomsky’s view of language competence. Modelling competence-in-performance requires a holistic model, such as the Mixed Game Model (Weigand 2010), which is capable of addressing the challenge of the ‘architecture of complexity’ (Simon 1962). The complex cannot be ‘the ontology of

Стилі APA, Harvard, Vancouver, ISO та ін.

Zotos, Kostas. "Computer Algebra Systems & Artificial Intelligence." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 15, no. 2 (2024): 427–36. http://dx.doi.org/10.18662/brain/15.2/584.

Повний текст джерела

Анотація:

From four-function calculators to calculators (or computers) with Computer Algebra System (CAS) software, Mathematics computing technology has advanced. With just a few button pushes, CASs can solve a wide range of mathematical problems, which is a true quantum leap in technology. The implications of having software in the classroom that can, for example, expand and factorize algebraic expressions, solve equations, differentiate functions, and find anti-derivatives are causing the mathematical community to engage in a heated debate about whether this is one of the most exciting or frightening

Стилі APA, Harvard, Vancouver, ISO та ін.

Liu, Weijie. "Enhancing Brain-Computer Interface Performance and Security through Advanced Artificial Intelligence Techniques." Applied and Computational Engineering 154, no. 1 (2025): 1–6. https://doi.org/10.54254/2755-2721/2025.tj23002.

Повний текст джерела

Анотація:

The brain-computer interface has become a rapidly developing field, but it has also brought many problems with its development. The main issues are the sparse amount of brain-computer interface data, the inaccurate decoding and classification of data, and the data security of the brain-computer interface. With the development of artificial intelligence, artificial intelligence also provides solutions to many problems. This study mainly uses artificial intelligence algorithms to solve these problems. This paper reviews the integration of artificial intelligence techniquesspecifically transfer l

Стилі APA, Harvard, Vancouver, ISO та ін.

Volobuev, Andrei N., Vasiliy F. Pyatin, Natalya P. Romanchuk, Petr I. Romanchuk, and Svetlana V. Bulgakova. "Modeling of stochastic brain function in artificial intelligence." Science and Innovations in Medicine 4, no. 3 (2019): 8–14. http://dx.doi.org/10.35693/2500-1388-2019-4-3-8-14.

Повний текст джерела

Анотація:

Objectives -research of stochastic brain function in respect to creation of artificial intelligence. Material and methods. Mathematical modeling principles were used for simulation of brain functioning in a stochastic mode. Results. Two types of brain activity were considered: determinated type, usually modeled using the perceptron, and stochastic type. It is shown, that stochastic brain function modeling is the necessary condition for AI to become capable of creativity, generation of new knowledge. Mathematical modeling of a neural network of the cerebral cortex, consisting of the set of the

Стилі APA, Harvard, Vancouver, ISO та ін.

Yashchenko, V. O. "Artificial brain. Biological and artificial neural networks, advantages, disadvantages, and prospects for development." Mathematical machines and systems 2 (2023): 3–17. http://dx.doi.org/10.34121/1028-9763-2023-2-3-17.

Повний текст джерела

Анотація:

The article analyzes the problem of developing artificial neural networks within the framework of creating an artificial brain. The structure and functions of the biological brain are considered. The brain performs many functions such as controlling the organism, coordinating movements, processing information, memory, thinking, attention, and regulating emotional states, and consists of billions of neurons interconnected by a multitude of connections in a biological neural network. The structure and functions of biological neural networks are discussed, and their advantages and disadvantages a

Стилі APA, Harvard, Vancouver, ISO та ін.

Vinny, Madhulika, and Pawan Singh. "Review on the Artificial Brain Technology: BlueBrain." Journal of Informatics Electrical and Electronics Engineering (JIEEE) 1, no. 1 (2020): 1–11. http://dx.doi.org/10.54060/jieee/001.01.003.

Повний текст джерела

Анотація:

Blue brain is a supercomputer programmed such that it can function as an artificial brain, which can also be called a virtual brain. IBM is developing this virtual brain which would be the world’s first such created machine. Its main aim is to create a machine in which the information of the actual brain can be uploaded. This would ensure that a person’s knowledge, personality, memories, and intelligence are preserved and safe. The Blue Brain project utilizes the technologies of reverse engineering and artificial intelligence at its core and is implemented through the use of supercomputers and

Стилі APA, Harvard, Vancouver, ISO та ін.

Bayaral, Sedat, Evrim Gül, and Derya Avcı. "Classification of Brain Tumors Using Artificial Intelligence." International Journal of Innovative Engineering Applications 9, no. 1 (2025): 8–22. https://doi.org/10.46460/ijiea.1563426.

Повний текст джерела

Анотація:

Brain MRI is a medical image obtained by MRI, which stands for "Magnetic Resonance Imaging". Brain MRI uses magnetic fields and radio waves to create detailed images of the brain and surrounding tissues. Today, deep learning algorithms are used to detect brain tumors or classify different brain regions. In this study, feature extraction has been performed with current deep learning models using a dataset consisting of 7023 open access images obtained from patients from various parts of the world, and the results were evaluated by training Support Vector Machine (SVM) and XGBoost models with th

Стилі APA, Harvard, Vancouver, ISO та ін.

K P, VISHNUPRIYA, JWALA JOSE, PRINCE JOY, SRITHA S, and GIBI K. S. "Brain-Inspired Artificial Intelligence: Revolutionizing Computing and Cognitive Systems." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–8. https://doi.org/10.55041/ijsrem39825.

Повний текст джерела

Анотація:

Brain-inspired artificial intelligence (AI) is a rapidly evolving field that seeks to model computational systems after the structure, processes, and functioning of the human brain. By drawing from neuroscience and cognitive science, brain-inspired AI aims to improve the efficiency, scalability, and adaptability of machine learning algorithms. This paper explores the key technologies and advancements in the realm of brain-inspired AI, including neural networks, neuromorphic hardware, brain-computer interfaces, and algorithms inspired by biological learning mechanisms. Additionally, we will ana

Стилі APA, Harvard, Vancouver, ISO та ін.

Більше джерел

Дисертації з теми "Brain model: artificial intelligence"

Mendeleck, Andre. "Um modelo conexionista para a geração de movimentos voluntarios em ambiente desestruturado." [s.n.], 1995. http://repositorio.unicamp.br/jspui/handle/REPOSIP/263849.

Повний текст джерела

Анотація:

Orientador: Douglas Eduardo Zampieri Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica Made available in DSpace on 2018-07-20T21:35:26Z (GMT). No. of bitstreams: 1 Mendeleck_Andre_D.pdf: 34563816 bytes, checksum: eb6f74befb171f93b3b0ab498352357e (MD5) Previous issue date: 1995 Resumo: Neste trabalho apresentamos uma estrutura neuronal artificial com autoaprendizado para o auxílio à geração de trajetórias em um ambiente desestruturado, O objetivo é formar uma sequência de valores de referência que podem auxiliar a definição de um caminho ou uma tr

Стилі APA, Harvard, Vancouver, ISO та ін.

Kogeyama, Renato. "Who is the cowboy in Washington?: beating google at their own game with neuroscience and cryptography." reponame:Repositório Institucional do FGV, 2014. http://hdl.handle.net/10438/13524.

Повний текст джерела

Анотація:

Submitted by RENATO Kogeyama (rkogeyama@gmail.com) on 2015-03-06T14:50:01Z No. of bitstreams: 1 Dissertação final.pdf: 1794273 bytes, checksum: b90c57e65dc2272d6edcdbabe5703b90 (MD5) Approved for entry into archive by Janete de Oliveira Feitosa (janete.feitosa@fgv.br) on 2015-03-10T12:44:03Z (GMT) No. of bitstreams: 1 Dissertação final.pdf: 1794273 bytes, checksum: b90c57e65dc2272d6edcdbabe5703b90 (MD5) Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2015-03-12T19:58:58Z (GMT) No. of bitstreams: 1 Dissertação final.pdf: 1794273 bytes, checksum: b90c57e65dc227

Стилі APA, Harvard, Vancouver, ISO та ін.

Gomez, Chloé. "DeepStim Project. Modeling states of consciousness and their modulation by electrical Deep Brain Stimulation : from experimental data to computational models." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASL027.

Повний текст джерела

Анотація:

Le diagnostic des patients dans le coma est souvent diﬃcile. Les examens cérébraux ren- seignent les médecins sur l’étendue des lésions cérébrales mais ne permettent pas de déterminer avec précision l’état de conscience du patient. De plus, aucune approche thérapeutique ne permet une restauration systématique de la conscience.Des études pionnières menées sur des patients et des Primates Non Humains (PNH) ont montré que la Stimulation Cérébrale Profonde (SCP) des noy- aux intralaminaires du thalamus pouvait restaurer ou améliorer la conscience lorsqu’elle est altérée.Cependant, les conséquences

Стилі APA, Harvard, Vancouver, ISO та ін.

Voils, Danny. "Scale Invariant Object Recognition Using Cortical Computational Models and a Robotic Platform." PDXScholar, 2012. https://pdxscholar.library.pdx.edu/open_access_etds/632.

Повний текст джерела

Анотація:

This paper proposes an end-to-end, scale invariant, visual object recognition system, composed of computational components that mimic the cortex in the brain. The system uses a two stage process. The first stage is a filter that extracts scale invariant features from the visual field. The second stage uses inference based spacio-temporal analysis of these features to identify objects in the visual field. The proposed model combines Numenta's Hierarchical Temporal Memory (HTM), with HMAX developed by MIT's Brain and Cognitive Science Department. While these two biologically inspired paradigms a

Стилі APA, Harvard, Vancouver, ISO та ін.

Aitkenhead, Matthew. "Using artificial intelligence to model complex systems." Thesis, University of Aberdeen, 2003. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU602065.

Повний текст джерела

Анотація:

Two observations underpin this thesis; 1. There is a need for automated pattem-recognition techniques that allow processes requiring skills normally associated with the human brain to be carried out rapidly, reliably and cheaply, and; 2. The current methods applied to solving artificial intelligence (AI) problems are insufficient to the task of creating generalised systems capable of pattem-recognition and environmental interaction. Neural networks (NNs) are a good method of solving AI problems that are difficult or impossible to solve using knowledge-based or symbolic techniques. NNs provide

Стилі APA, Harvard, Vancouver, ISO та ін.

Machado, Beatriz. "Artificial intelligence to model bedrock depth uncertainty." Thesis, KTH, Jord- och bergmekanik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252317.

Повний текст джерела

Анотація:

The estimation of bedrock level for soil and rock engineering is a challenge associated to many uncertainties. Nowadays, this estimation is performed by geotechnical or geophysics investigations. These methods are expensive techniques, that normally are not fully used because of limited budget. Hence, the bedrock levels in between investigations are roughly estimated and the uncertainty is almost unknown. Machine learning (ML) is an artificial intelligence technique that uses algorithms and statistical models to predict determined tasks. These mathematical models are built dividing the data be

Стилі APA, Harvard, Vancouver, ISO та ін.

Coletti, Mark. "An analysis of a model-based evolutionary algorithm| Learnable Evolution Model." Thesis, George Mason University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3625081.

Повний текст джерела

Анотація:

An evolutionary algorithm (EA) is a biologically inspired metaheuristic that uses mutation, crossover, reproduction, and selection operators to evolve solutions for a given problem. Learnable Evolution Model (LEM) is an EA that has an evolutionary algorithm component that works in tandem with a machine learner to collaboratively create populations of individuals. The machine learner infers rules from best and least fit individuals, and then this knowledge is exploited to improve the quality of offspring. Unfortunately, most of the extant work on LEM has been ad hoc , and so

Стилі APA, Harvard, Vancouver, ISO та ін.

Chang, Spencer J. "Brain Tumor Classification Using Hit-or-Miss Capsule Layers." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/2006.

Повний текст джерела

Анотація:

The job of classifying or annotating brain tumors from MRI images can be time-consuming and difficult, even for radiologists. To increase the survival chances of a patient, medical practitioners desire a means for quick and accurate diagnosis. While datasets like CIFAR, ImageNet, and SVHN have tens of thousands, hundreds of thousands, or millions of samples, an MRI dataset may not have the same luxury of receiving accurate labels for each image containing a tumor. This work covers three models that classify brain tumors using a combination of convolutional neural networks and of the concept of

Стилі APA, Harvard, Vancouver, ISO та ін.

Golesorkhi, Mehrshad. "The Brain's Intrinsic Spatiotemporal Structure and Its Potential Application in Artificial Intelligence." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42211.

Повний текст джерела

Анотація:

Neuroscience focuses largely on how the brain mediates perception and cognition. However, this leaves open the basic organization and hierarchies of the brain’s neural activity by itself prior to and independent of its role in cognition. A recent model characterizes the brain’s intrinsic features in terms of temporo- spatial dynamical (rather than cognitive) terms – the brain’s spatiotemporal hierarchies shape what is called ‘brain’s intrinsicality’. The brain’s intrinsicality may provide potential applications in designing artificial intelligence (AI). In this dissertation, I explore ‘intrins

Стилі APA, Harvard, Vancouver, ISO та ін.

董鵬飛 and Pang-fei Tung. "IntelliMap: a new GIS model with intelligence." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31221804.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Більше джерел

Книги з теми "Brain model: artificial intelligence"

Haken, H. Brain dynamics. 2nd ed. Springer, 2008.

Знайти повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

1947-, Kitamura Tadashi, ed. What should be computed to understand and model brain function?: From robotics, soft computing, biology and neuroscience to cognitive philosophy. ill., 2001.

Знайти повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

1964-, Beim Graben P., ed. Lectures in supercomputational neuroscience: Dynamics in complex brain networks. Springer, 2008.

Знайти повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Joshi, Rajiv, Eduard Alarcon, Arvind Kumar, and Matt Ziegler. From Artificial Intelligence to Brain Intelligence. River Publishers, 2022. http://dx.doi.org/10.1201/9781003338215.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Edelkamp, Stefan, and Alessio Lomuscio, eds. Model Checking and Artificial Intelligence. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74128-2.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Peled, Doron A., and Michael J. Wooldridge, eds. Model Checking and Artificial Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00431-5.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

van der Meyden, Ron, and Jan-Georg Smaus, eds. Model Checking and Artificial Intelligence. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20674-0.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Wang, Yueming, ed. Human Brain and Artificial Intelligence. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1288-6.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

De Gregorio, Massimo, Vito Di Maio, Maria Frucci, and Carlo Musio, eds. Brain, Vision, and Artificial Intelligence. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11565123.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Zeng, An, Dan Pan, Tianyong Hao, Daoqiang Zhang, Yiyu Shi, and Xiaowei Song, eds. Human Brain and Artificial Intelligence. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1398-5.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Більше джерел

Частини книг з теми "Brain model: artificial intelligence"

Shi, Zhongzhi, and Zeqin Huang. "Cognitive Model of Brain-Machine Integration." In Artificial General Intelligence. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27005-6_17.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Lőrincz, András. "Learning the States: A Brain Inspired Neural Model." In Artificial General Intelligence. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22887-2_36.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Wang, Zefan, Kuiyu Wang, and Xiaolin Hu. "Accelerating Allen Brain Institute’s Large-Scale Computational Model of Mice Primary Visual Cortex." In Artificial Intelligence. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20503-3_57.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Rahgooy, Taher, and K. Brent Venable. "Learning Preferences in a Cognitive Decision Model." In Human Brain and Artificial Intelligence. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1398-5_13.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Krauss, Patrick. "AI as a Model for the Brain." In Artificial Intelligence and Brain Research. Springer Berlin Heidelberg, 2024. http://dx.doi.org/10.1007/978-3-662-68980-6_21.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Domenella, Rosaria Grazia, and Alessio Plebe. "A Neural Model of Human Object Recognition Development." In Brain, Vision, and Artificial Intelligence. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11565123_12.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Lin, Baihan. "Neural Networks as Model Selection with Incremental MDL Normalization." In Human Brain and Artificial Intelligence. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1398-5_14.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Aznar, F., M. Sempere, M. Pujol, and R. Rizo. "A Cognitive Model for Autonomous Agents Based on Bayesian Programming." In Brain, Vision, and Artificial Intelligence. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11565123_27.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Frydrych, M., L. Lensu, S. Parkkinen, J. Parkkinen, and T. Jaaskelainen. "Photoelectric Response of Bacteriorhodopsin in Thin PVA Films and Its Model." In Brain, Vision, and Artificial Intelligence. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11565123_13.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Gao, Daiheng, Zhenzhi Wu, Yujie Wu, Guoqi Li, and Jing Pei. "ARLIF: A Flexible and Efficient Recurrent Neuronal Model for Sequential Tasks." In Human Brain and Artificial Intelligence. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1288-6_1.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Тези доповідей конференцій з теми "Brain model: artificial intelligence"

Yadav, Vishakha, Sushil Kumar Saroj, and Rohit Kumar Tiwari. "GhostNet Model Based Brain Tumor Classification." In 2025 3rd International Conference on Communication, Security, and Artificial Intelligence (ICCSAI). IEEE, 2025. https://doi.org/10.1109/iccsai64074.2025.11064547.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Lafta, Alaa M., Waleed Hameed, Angham Khalid Hussain, et al. "Brain Inspired Cognitive Architecture of Hierarchical Distributed Model Based on Artificial Intelligence." In 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). IEEE, 2024. http://dx.doi.org/10.1109/icsseecc61126.2024.10649526.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Daher, Muhammet Kusey, and Abdullah Elewi. "Deep CNN Model for Classifying Neurological Diseases using MRI Brain Images." In 2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP). IEEE, 2024. http://dx.doi.org/10.1109/idap64064.2024.10710896.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Kalshetti, Kashiraj Vtthal, C. Sai Charan, B. Sumanth Naik, and K. Sunil Kumar. "Geodesic-Enhanced Deep Learning Model for Brain Aneurysm Segmentation and Diagnosis." In 2025 3rd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS). IEEE, 2025. https://doi.org/10.1109/icssas66150.2025.11080773.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Hong, Chenyi, Hualiang Wang, Zhuoxuan Wu, Zuozhu Liu, and Junhui Lv. "FoTNet: An Effective Deep Learning Model for Preoperative Differentiation of Common Malignant Brain Tumors." In 2024 IEEE International Conference on Medical Artificial Intelligence (MedAI). IEEE, 2024. https://doi.org/10.1109/medai62885.2024.00073.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Abiodun, Moses Kazeem, Abidemi Emmanuel Adeniyi, Joseph Bamidele Awotunde, et al. "Brain Tumor Detection and Segmentation Using Deep Learning Models." In 2024 6th World Symposium on Artificial Intelligence (WSAI). IEEE, 2024. https://doi.org/10.1109/wsai62426.2024.10829366.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Yi, Wanlin, and Xia Shi. "An adaptive deep brain stimulation for tremor: based on a computational model." In 2024 5th International Conference on Computers and Artificial Intelligence Technology (CAIT). IEEE, 2024. https://doi.org/10.1109/cait64506.2024.10963311.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Miao, Zhengqing, Anja Meunier, Michal Robert Žák, and Moritz Grosse-Wentrup. "Exploring Artificial Neural Network Models for c-VEP Decoding in a Brain-Artificial Intelligence Interface." In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024. https://doi.org/10.1109/bibm62325.2024.10821771.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Sharma, Amit, and Sunny Arora. "Hybrid Machine Learning Model with Textural Feature Analysis for Brain Tumour Detection." In 2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit). IEEE, 2024. https://doi.org/10.1109/globalaisummit62156.2024.10947920.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

G, Saranya, Kumaran K, Vidhyalakshmi M, and Siva Priya M. S. "U-Net Model Based Classification on Brain Tumor in Magnetic Resonance Imaging (MRI) Multimodal." In 2024 4th International Conference on Artificial Intelligence and Signal Processing (AISP). IEEE, 2024. https://doi.org/10.1109/aisp61711.2024.10870818.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Звіти організацій з теми "Brain model: artificial intelligence"

Pasupuleti, Murali Krishna. Quantum Cognition: Modeling Decision-Making with Quantum Theory. National Education Services, 2025. https://doi.org/10.62311/nesx/rrvi225.

Повний текст джерела

Анотація:

Abstract Quantum cognition applies quantum probability theory and mathematical principles from quantum mechanics to model human decision-making, reasoning, and cognitive processes beyond the constraints of classical probability models. Traditional decision theories, such as expected utility theory and Bayesian inference, struggle to explain context-dependent reasoning, preference reversals, order effects, and cognitive biases observed in human behavior. By incorporating superposition, interference, and entanglement, quantum cognitive models offer a probabilistic framework that better accounts

Стилі APA, Harvard, Vancouver, ISO та ін.

Strauss, K. D. The artificial intelligence model output analyzer. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10129459.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Hannas, William, Huey-Meei Chang, Daniel Chou, and Brian Fleeger. China's Advanced AI Research: Monitoring China's Paths to "General" Artificial Intelligence. Center for Security and Emerging Technology, 2022. http://dx.doi.org/10.51593/20210064.

Повний текст джерела

Анотація:

China is following a national strategy to lead the world in artificial intelligence by 2030, including by pursuing “general AI” that can act autonomously in novel circumstances. Open-source research identifies 30 Chinese institutions engaged in one or more of this project‘s aspects, including machine learning, brain-inspired AI, and brain-computer interfaces. This report previews a CSET pilot program that will track China’s progress and provide timely alerts.

Стилі APA, Harvard, Vancouver, ISO та ін.

Gillespie, Nicole, Caitlin Curtis, Rossana Bianchi, Ali Akbari, and Rita Fentener van Vlissingen. Achieving Trustworthy AI: A Model for Trustworthy Artificial Intelligence. The University of Queensland and KPMG, 2020. http://dx.doi.org/10.14264/ca0819d.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Agrawal, Ajay, John McHale, and Alexander Oettl. Artificial Intelligence and Scientific Discovery: A Model of Prioritized Search. National Bureau of Economic Research, 2023. http://dx.doi.org/10.3386/w31558.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Bhattacharyya, Debangsu, Daniel Purdy, Angan Mukherjee, et al. Boiler Health Monitoring Using a Hybrid First Principles-Artificial Intelligence Model. Office of Scientific and Technical Information (OSTI), 2025. https://doi.org/10.2172/2568166.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Melnyk, Yuriy, and Iryna Pypenko. Artificial intelligence as a factor revolutionizing higher education. KRPOCH, 2024. https://doi.org/10.26697/krpoch.melnyk.pypenko.report.pppmsf.2024.

Повний текст джерела

Анотація:

The role of artificial intelligence-based chatbots in higher education practice was considered. The use of chatbots among higher education stakeholders (students and faculty) was studied. A model of stakeholder behaviour was developed. This model describes two ways of solving problems: with and without the use of artificial intelligence. Trends in the use of chatbots in higher education were identified: students were 26.9% more likely than faculty to use artificial intelligence-based chatbots to prepare for classes or complete assignments at their college/university; almost all students (68.0%

Стилі APA, Harvard, Vancouver, ISO та ін.

Mazari, Mehran, Yahaira Nava-Gonzalez, Ly Jacky Nhiayi, and Mohamad Saleh. Smart Highway Construction Site Monitoring Using Artificial Intelligence. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2025.2336.

Повний текст джерела

Анотація:

Construction is a large sector of the economy and plays a significant role in creating economic growth and national development,and construction of transportation infrastructure is critical. This project developed a method to detect, classify, monitor, and track objects during the construction, maintenance, and rehabilitation of transportation infrastructure by using artificial intelligence and a deep learning approach. This study evaluated the performance of AI and deep learning algorithms to compare their performance in detecting and classifying the equipment in various construction scenes.

Стилі APA, Harvard, Vancouver, ISO та ін.

Oliveira, Rafael. Towards a Balanced Metacognitive Model for Artificial Intelligence: A Hybrid and Hierarchical Architecture. ResearchHub Technologies, Inc., 2025. https://doi.org/10.55277/researchhub.zw4z9aks.1.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

André, Christophe, Manuel Bétin, Peter Gal, and Paul Peltier. Developments in Artificial Intelligence markets: New indicators based on model characteristics, prices and providers. Organisation for Economic Co-Operation and Development (OECD), 2025. https://doi.org/10.1787/9302bf46-en.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Ми пропонуємо знижки на всі преміум-плани для авторів, чиї праці увійшли до тематичних добірок літератури. Зв'яжіться з нами, щоб отримати унікальний промокод!