Artykuły w czasopismach na temat „Brain-inspired approaches”
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Andrés, Eva, Manuel Pegalajar Cuéllar i Gabriel Navarro. "Brain-Inspired Agents for Quantum Reinforcement Learning". Mathematics 12, nr 8 (19.04.2024): 1230. http://dx.doi.org/10.3390/math12081230.
Pełny tekst źródłaMa, Gehua, He Wang, Jingyuan Zhao, Rui Yan i Huajin Tang. "Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation". Proceedings of the AAAI Conference on Artificial Intelligence 38, nr 1 (24.03.2024): 574–82. http://dx.doi.org/10.1609/aaai.v38i1.27813.
Pełny tekst źródłaPham, Trung Quang, Teppei Matsui i Junichi Chikazoe. "Evaluation of the Hierarchical Correspondence between the Human Brain and Artificial Neural Networks: A Review". Biology 12, nr 10 (12.10.2023): 1330. http://dx.doi.org/10.3390/biology12101330.
Pełny tekst źródłaS Neves, Fabio, i Marc Timme. "Bio-inspired computing by nonlinear network dynamics—a brief introduction". Journal of Physics: Complexity 2, nr 4 (1.12.2021): 045019. http://dx.doi.org/10.1088/2632-072x/ac3ad4.
Pełny tekst źródłaKułacz, Łukasz, i Adrian Kliks. "Neuroplasticity and Microglia Functions Applied in Dense Wireless Networks". Journal of Telecommunications and Information Technology 1 (29.03.2019): 39–46. http://dx.doi.org/10.26636/jtit.2019.130618.
Pełny tekst źródłaZheng, Tianyi, Wuhao Yang, Jie Sun, Zhenxi Liu, Kunfeng Wang i Xudong Zou. "Processing IMU action recognition based on brain-inspired computing with microfabricated MEMS resonators". Neuromorphic Computing and Engineering 2, nr 2 (8.04.2022): 024004. http://dx.doi.org/10.1088/2634-4386/ac5ddf.
Pełny tekst źródłaMisra, Durgamadhab. "Special Issue of Interface on Neuromorphic Computing: An Introduction and State of the Field". Electrochemical Society Interface 32, nr 1 (1.03.2023): 45–46. http://dx.doi.org/10.1149/2.f08231if.
Pełny tekst źródłaFlor, Herta, Koichi Noguchi, Rolf-Detlef Treede i Dennis C. Turk. "The role of evolving concepts and new technologies and approaches in advancing pain research, management, and education since the establishment of the International Association for the Study of Pain". Pain 164, nr 11S (listopad 2023): S16—S21. http://dx.doi.org/10.1097/j.pain.0000000000003063.
Pełny tekst źródłaKulhare, Rachna, i S. Veenadhari. "Feature Reduction in Classification Tasks using Bio-inspired Optimization Algorithms". SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology 14, nr 04 (31.12.2022): 72–78. http://dx.doi.org/10.18090/samriddhi.v14i04.12.
Pełny tekst źródłaVASSILIADIS, VASSILIOS, i GEORGIOS DOUNIAS. "NATURE–INSPIRED INTELLIGENCE: A REVIEW OF SELECTED METHODS AND APPLICATIONS". International Journal on Artificial Intelligence Tools 18, nr 04 (sierpień 2009): 487–516. http://dx.doi.org/10.1142/s021821300900024x.
Pełny tekst źródłaPatrikelis, Panayiotis, Lambros Messinis, Vasileios Kimiskidis i Stylianos Gatzonis. "Neuropsychology of epilepsy surgery and theory-based practice: an opinion review". Arquivos de Neuro-Psiquiatria 81, nr 09 (wrzesień 2023): 835–43. http://dx.doi.org/10.1055/s-0043-1770349.
Pełny tekst źródłaDarwish, Saad M., Lina J. Abu Shaheen i Adel A. Elzoghabi. "A New Medical Analytical Framework for Automated Detection of MRI Brain Tumor Using Evolutionary Quantum Inspired Level Set Technique". Bioengineering 10, nr 7 (9.07.2023): 819. http://dx.doi.org/10.3390/bioengineering10070819.
Pełny tekst źródłaRayaprolu, Sruti, Lenora Higginbotham, Pritha Bagchi, Caroline M. Watson, Tian Zhang, Allan I. Levey, Srikant Rangaraju i Nicholas T. Seyfried. "Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau". Neuropsychopharmacology 46, nr 1 (8.09.2020): 98–115. http://dx.doi.org/10.1038/s41386-020-00840-3.
Pełny tekst źródłaTAN, TSE GUAN, JASON TEO i PATRICIA ANTHONY. "NATURE-INSPIRED COGNITIVE EVOLUTION TO PLAY MS. PAC-MAN". International Journal of Modern Physics: Conference Series 09 (styczeń 2012): 456–63. http://dx.doi.org/10.1142/s2010194512005545.
Pełny tekst źródłaIrastorza-Valera, Luis, José María Benítez, Francisco J. Montáns i Luis Saucedo-Mora. "An Agent-Based Model to Reproduce the Boolean Logic Behaviour of Neuronal Self-Organised Communities through Pulse Delay Modulation and Generation of Logic Gates". Biomimetics 9, nr 2 (9.02.2024): 101. http://dx.doi.org/10.3390/biomimetics9020101.
Pełny tekst źródłaZacarias-Morales, Noel, Pablo Pancardo, José Adán Hernández-Nolasco i Matias Garcia-Constantino. "Attention-Inspired Artificial Neural Networks for Speech Processing: A Systematic Review". Symmetry 13, nr 2 (28.01.2021): 214. http://dx.doi.org/10.3390/sym13020214.
Pełny tekst źródłaBouayed, Jaouad, Hassan Rammal i Rachid Soulimani. "Oxidative Stress and Anxiety: Relationship and Cellular Pathways". Oxidative Medicine and Cellular Longevity 2, nr 2 (2009): 63–67. http://dx.doi.org/10.4161/oxim.2.2.7944.
Pełny tekst źródłaWahlang, Imayanmosha, Arnab Kumar Maji, Goutam Saha, Prasun Chakrabarti, Michal Jasinski, Zbigniew Leonowicz i Elzbieta Jasinska. "Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and Age". Sensors 22, nr 5 (24.02.2022): 1766. http://dx.doi.org/10.3390/s22051766.
Pełny tekst źródłaFoy, Judith G., Marissa Feldman, Edward Lin, Margaret Mahoney i Chelsea Sjoblom. "Neuroscience Workshops for Fifth-Grade School Children by Undergraduate Students: A University–School Partnership". CBE—Life Sciences Education 5, nr 2 (czerwiec 2006): 128–36. http://dx.doi.org/10.1187/cbe.05-08-0107.
Pełny tekst źródłaLi, Xiao Guang. "Research on the Development and Applications of Artificial Neural Networks". Applied Mechanics and Materials 556-562 (maj 2014): 6011–14. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.6011.
Pełny tekst źródłaLi, Qingkai, Yanbo Pang, Yushi Wang, Xinyu Han, Qing Li i Mingguo Zhao. "CBMC: A Biomimetic Approach for Control of a 7-Degree of Freedom Robotic Arm". Biomimetics 8, nr 5 (25.08.2023): 389. http://dx.doi.org/10.3390/biomimetics8050389.
Pełny tekst źródłaHusbands, Phil, Yoonsik Shim, Michael Garvie, Alex Dewar, Norbert Domcsek, Paul Graham, James Knight, Thomas Nowotny i Andrew Philippides. "Recent advances in evolutionary and bio-inspired adaptive robotics: Exploiting embodied dynamics". Applied Intelligence 51, nr 9 (10.05.2021): 6467–96. http://dx.doi.org/10.1007/s10489-021-02275-9.
Pełny tekst źródłaMutkule, Prasad R., Nilesh P. Sable, Parikshit N. Mahalle i Gitanjali R. Shinde. "Histopathological parameter and brain tumor mapping using distributed optimizer tuned explainable AI classifier". Journal of Autonomous Intelligence 7, nr 5 (21.05.2024): 1617. http://dx.doi.org/10.32629/jai.v7i5.1617.
Pełny tekst źródłaZhou, Rui, Ju Wang, Guijiang Xia, Jingyang Xing, Hongming Shen i Xiaoyan Shen. "Cascade Residual Multiscale Convolution and Mamba-Structured UNet for Advanced Brain Tumor Image Segmentation". Entropy 26, nr 5 (30.04.2024): 385. http://dx.doi.org/10.3390/e26050385.
Pełny tekst źródłaDíaz-Pernas, Francisco Javier, Mario Martínez-Zarzuela, Míriam Antón-Rodríguez i David González-Ortega. "A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network". Healthcare 9, nr 2 (2.02.2021): 153. http://dx.doi.org/10.3390/healthcare9020153.
Pełny tekst źródłaKhan, Ameer Hamza, Xinwei Cao, Bin Xu i Shuai Li. "Beetle Antennae Search: Using Biomimetic Foraging Behaviour of Beetles to Fool a Well-Trained Neuro-Intelligent System". Biomimetics 7, nr 3 (23.06.2022): 84. http://dx.doi.org/10.3390/biomimetics7030084.
Pełny tekst źródłaCamuñas-Mesa, Luis, Bernabé Linares-Barranco i Teresa Serrano-Gotarredona. "Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations". Materials 12, nr 17 (27.08.2019): 2745. http://dx.doi.org/10.3390/ma12172745.
Pełny tekst źródłaRiemer, Constanze, Michael Burwinkel, Anja Schwarz, Sandra Gültner, Simon W. F. Mok, Ines Heise, Nikola Holtkamp i Michael Baier. "Evaluation of drugs for treatment of prion infections of the central nervous system". Journal of General Virology 89, nr 2 (1.02.2008): 594–97. http://dx.doi.org/10.1099/vir.0.83281-0.
Pełny tekst źródłaTominov, Roman V., Zakhar E. Vakulov, Vadim I. Avilov, Ivan A. Shikhovtsov, Vadim I. Varganov, Victor B. Kazantsev, Lovi Raj Gupta, Chander Prakash i Vladimir A. Smirnov. "Approaches for Memristive Structures Using Scratching Probe Nanolithography: Towards Neuromorphic Applications". Nanomaterials 13, nr 10 (9.05.2023): 1583. http://dx.doi.org/10.3390/nano13101583.
Pełny tekst źródłaPurwono, Purwono, Agung Budi Prasetio i Burhanuddin bin Mohd Aboobaider. "Comparison of Classification and Regression Model Approaches on the Main Causes of Stroke with Symbolic Regression Feyn Qlattice". Journal of Advanced Health Informatics Research 1, nr 2 (23.09.2023): 95–105. http://dx.doi.org/10.59247/jahir.v1i2.87.
Pełny tekst źródłaZhang, Cuiling. "Neuroscience and Translation". International Journal of Translation and Interpreting Research 15, nr 2 (31.07.2023): 180–83. http://dx.doi.org/10.12807/ti.115202.2023.r02.
Pełny tekst źródłaXu, Wentao, Sung-Yong Min, Hyunsang Hwang i Tae-Woo Lee. "Organic core-sheath nanowire artificial synapses with femtojoule energy consumption". Science Advances 2, nr 6 (czerwiec 2016): e1501326. http://dx.doi.org/10.1126/sciadv.1501326.
Pełny tekst źródłaMehmood, Atif, Muazzam Maqsood, Muzaffar Bashir i Yang Shuyuan. "A Deep Siamese Convolution Neural Network for Multi-Class Classification of Alzheimer Disease". Brain Sciences 10, nr 2 (5.02.2020): 84. http://dx.doi.org/10.3390/brainsci10020084.
Pełny tekst źródłaTang, Jing. "Shining Light on the Nervous System: From Biomaterials to Bioelectronics". ECS Meeting Abstracts MA2019-02, nr 55 (1.09.2019): 2421. http://dx.doi.org/10.1149/ma2019-02/55/2421.
Pełny tekst źródłaMansouri-Benssassi, Esma, i Juan Ye. "Synch-Graph: Multisensory Emotion Recognition Through Neural Synchrony via Graph Convolutional Networks". Proceedings of the AAAI Conference on Artificial Intelligence 34, nr 02 (3.04.2020): 1351–58. http://dx.doi.org/10.1609/aaai.v34i02.5491.
Pełny tekst źródłaAbbas, Haider, Jiayi Li i Diing Shenp Ang. "Conductive Bridge Random Access Memory (CBRAM): Challenges and Opportunities for Memory and Neuromorphic Computing Applications". Micromachines 13, nr 5 (30.04.2022): 725. http://dx.doi.org/10.3390/mi13050725.
Pełny tekst źródłaSarangi, Biswaranjan, Arunanshu Mahapatro i Biswajit Tripathy. "Outlier Detection Using Convolutional Neural Network for Wireless Sensor Network". International Journal of Business Data Communications and Networking 17, nr 2 (lipiec 2021): 1–16. http://dx.doi.org/10.4018/ijbdcn.286705.
Pełny tekst źródłaHuerta, Ramón, Shankar Vembu, José M. Amigó, Thomas Nowotny i Charles Elkan. "Inhibition in Multiclass Classification". Neural Computation 24, nr 9 (wrzesień 2012): 2473–507. http://dx.doi.org/10.1162/neco_a_00321.
Pełny tekst źródłaMahmoud, Ahmed, i Mohamed Atia. "Improved Visual SLAM Using Semantic Segmentation and Layout Estimation". Robotics 11, nr 5 (6.09.2022): 91. http://dx.doi.org/10.3390/robotics11050091.
Pełny tekst źródłaSpencer, Ana P., Marília Torrado, Beatriz Custódio, Sara C. Silva-Reis, Sofia D. Santos, Victoria Leiro i Ana P. Pêgo. "Breaking Barriers: Bioinspired Strategies for Targeted Neuronal Delivery to the Central Nervous System". Pharmaceutics 12, nr 2 (23.02.2020): 192. http://dx.doi.org/10.3390/pharmaceutics12020192.
Pełny tekst źródłaStippler, Martina, Veronica Ortiz, P. David Adelson, Yue-Fang Chang, Elizabeth C. Tyler-Kabara, Stephen R. Wisniewski, Ericka L. Fink, Patrick M. Kochanek, S. Danielle Brown i Michael J. Bell. "Brain tissue oxygen monitoring after severe traumatic brain injury in children: relationship to outcome and association with other clinical parameters". Journal of Neurosurgery: Pediatrics 10, nr 5 (listopad 2012): 383–91. http://dx.doi.org/10.3171/2012.8.peds12165.
Pełny tekst źródłaJabir, Brahim, i Noureddine Falih. "Dropout, a basic and effective regularization method for a deep learning model: a case study". Indonesian Journal of Electrical Engineering and Computer Science 24, nr 2 (1.11.2021): 1009. http://dx.doi.org/10.11591/ijeecs.v24.i2.pp1009-1016.
Pełny tekst źródłaCarriero, Alessandro, Léon Groenhoff, Elizaveta Vologina, Paola Basile i Marco Albera. "Deep Learning in Breast Cancer Imaging: State of the Art and Recent Advancements in Early 2024". Diagnostics 14, nr 8 (19.04.2024): 848. http://dx.doi.org/10.3390/diagnostics14080848.
Pełny tekst źródłaBeyan, Cigdem, i Howard I. Browman. "Setting the stage for the machine intelligence era in marine science". ICES Journal of Marine Science 77, nr 4 (18.06.2020): 1267–73. http://dx.doi.org/10.1093/icesjms/fsaa084.
Pełny tekst źródłaBernert, Marie, i Blaise Yvert. "An Attention-Based Spiking Neural Network for Unsupervised Spike-Sorting". International Journal of Neural Systems 29, nr 08 (25.09.2019): 1850059. http://dx.doi.org/10.1142/s0129065718500594.
Pełny tekst źródłaLi, Shangjin, i Yijun Zhao. "Addressing Motion Blurs in Brain MRI Scans Using Conditional Adversarial Networks and Simulated Curvilinear Motions". Journal of Imaging 8, nr 4 (23.03.2022): 84. http://dx.doi.org/10.3390/jimaging8040084.
Pełny tekst źródłaGabashvili, Anna N., Nelly S. Chmelyuk, Vera V. Oda, Maria K. Leonova, Viktoria A. Sarkisova, Polina A. Lazareva, Alevtina S. Semkina, Nikolai A. Belyakov, Timur R. Nizamov i Petr I. Nikitin. "Magnetic and Fluorescent Dual-Labeled Genetically Encoded Targeted Nanoparticles for Malignant Glioma Cell Tracking and Drug Delivery". Pharmaceutics 15, nr 10 (4.10.2023): 2422. http://dx.doi.org/10.3390/pharmaceutics15102422.
Pełny tekst źródłaEckerdt, Frank, i Leonidas C. Platanias. "Emerging Role of Glioma Stem Cells in Mechanisms of Therapy Resistance". Cancers 15, nr 13 (1.07.2023): 3458. http://dx.doi.org/10.3390/cancers15133458.
Pełny tekst źródłaAlongi, Pierpaolo, Annachiara Arnone, Viola Vultaggio, Alessandro Fraternali, Annibale Versari, Cecilia Casali, Gaspare Arnone, Francesco DiMeco i Ignazio Gaspare Vetrano. "Artificial Intelligence Analysis Using MRI and PET Imaging in Gliomas: A Narrative Review". Cancers 16, nr 2 (18.01.2024): 407. http://dx.doi.org/10.3390/cancers16020407.
Pełny tekst źródłaPuerto, Eduard, Jose Aguilar i Angel Pinto. "Automatic Spell-Checking System for Spanish Based on the Ar2p Neural Network Model". Computers 13, nr 3 (12.03.2024): 76. http://dx.doi.org/10.3390/computers13030076.
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