Výsledky vyhľadávania - "Artificial Intelligence and Robotics"

DreamAnime: Learning Style-Identity Textual Disentanglement for Anime and Beyond

Autori: Chenshu Xu Yangyang Xu Huaidong Zhang a ďalší

Zdroj: IEEE Transactions on Visualization and Computer Graphics. 31:4198-4209

Predmety: Diffusion, Data Models, Artificial Intelligence and Robotics, Computational Modeling, Graphics and Human Computer Interfaces, Training, Natural Languages, Shape, Image Synthesis, Task Analysis, Customization, Visualization, Style Disentanglement

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38713571

Modality-Aware Discriminative Fusion Network for Integrated Analysis of Brain Imaging Genomics

Autori: Xiaoqi Sheng Hongmin Cai Yongwei Nie a ďalší

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 36:8577-8591

Predmety: Male, Artificial Intelligence and Robotics, multimodal fusion, OS and Networks, Brain, Neuroimaging, Genomics, Polymorphism, Single Nucleotide, Magnetic Resonance Imaging, Deep Learning, Alzheimer Disease, mild cognitive impairment (MCI), Humans, Imaging Genomics, Cognitive Dysfunction, Brain imaging genomics, Neural Networks, Computer, Algorithms, early diagnosis, Aged

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39178069

Multiobjective Linear Ensembles for Robust and Sparse Training of Few-Bit Neural Networks

Autori: Ambrogio Maria Bernardelli Stefano Gualandi Simone Milanesi a ďalší

Prispievatelia: Ambrogio Maria Bernardelli Stefano Gualandi Simone Milanesi a ďalší

Zdroj: INFORMS Journal on Computing. 37:623-643

Predmety: Artificial Intelligence and Robotics, Mixed-integer linear programming, Computer Sciences, Few-shot learning, sparsity, structured ensemble, binarized neural network, Binarized neural networks, Structured ensemble, integer neural network, Multi-objective optimisation, few-shot learning, multiobjective optimization, mixed-integer linear programming, Integer neural networks, Sparsity

Popis súboru: application/pdf; ELETTRONICO

Automating Procurement Practices Using Artificial Intelligence

Autori: Xingyi Li Viviana Culmone Bert De Reyck a ďalší

Zdroj: INFORMS Journal on Applied Analytics. 55:195-223

Predmety: Spend analysis, machine learning, Artificial Intelligence and Robotics, data-driven procurement, natural language processing, Operations and Supply Chain Management

RespEar: Earable-Based Robust Respiratory Rate Monitoring

Autori: Liu, Yang Butkow, Kayla-Jade Stuchbury-Wass, Jake a ďalší

Prispievatelia: Liu, Yang Butkow, Kayla-Jade Stuchbury-Wass, Jake a ďalší

Zdroj: 2025 IEEE International Conference on Pervasive Computing and Communications (PerCom). :67-77

Predmety: FOS: Computer and information sciences, Sound (cs.SD), Artificial Intelligence and Robotics, Audio and Speech Processing (eess.AS), Computer Science - Human-Computer Interaction, FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Human-Computer Interaction (cs.HC)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2407.06901

Quantifying the Role of Active Listening and Reassurance in Virtual Health Coach Interactions

Autori: HUSSAIN, GHULAM Keegan, Brian Ross, Robert a ďalší

Prispievatelia: HUSSAIN, GHULAM Keegan, Brian Ross, Robert a ďalší

Zdroj: Conference papers
Articles

Predmety: LLM, Conversational Agents, Health Care, Active Listening, Reassurance, Engineering, Artificial Intelligence and Robotics, active listening, reassurance, Conversational agents, health care, Other Computer Sciences

Popis súboru: application/pdf

Prístupová URL adresa: https://arrow.tudublin.ie/scschcomcon/443
https://arrow.tudublin.ie/creaart/244

Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection

Autori: Hao Tang Zechao Li Dong Zhang a ďalší

Zdroj: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47:1958-1974

Predmety: FOS: Computer and information sciences, RGB-thermal, Encoder-Decoder, multi-modal fusion, Artificial Intelligence and Robotics, salient object detection, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Numerical Analysis and Scientific Computing, Computer Science - Multimedia, Multimedia (cs.MM)

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40030445
http://arxiv.org/abs/2412.01556

Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems

Autori: Mingfeng Fan Yaoxin Wu Zhiguang Cao a ďalší

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 36:4677-4689

Predmety: Artificial Intelligence and Robotics, Pareto optimization, Theory and Algorithms, Decoding, Transportation, Encoder-decoder, Vehicle routing, vehicle routing problems, neural heuristic, Context modeling, Training, Encoder–decoder, multiobjective optimization, Fans, Neural networks

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38517723
https://research.tue.nl/en/publications/cf1444fb-b68d-43eb-979c-4217ed876831
https://doi.org/10.1109/TNNLS.2024.3371706

Low Code/No Code Meets the Metaverse

Autori: George F. Hurlburt George K. Thiruvathukal Nir Kshetri a ďalší

Zdroj: Computer. 58:22-28

Predmety: Artificial Intelligence and Robotics, low code, Computer Sciences, no code, computer science, software engineering

Physics-informed deep learning with Kalman filter mixture for traffic state prediction

Autori: Deshpande, Niharika Park, Hyoshin (John)

Zdroj: International Journal of Transportation Science and Technology, Vol 17, Iss, Pp 161-174 (2025)

Predmety: Travel time, Artificial Intelligence and Robotics, TA1001-1280, Learning systems, Theory and Algorithms, Systems Engineering, Deep learning, Transportation Engineering, Physics informed, Physics-informed, Graph neural network, Graph neural networks, Transportation engineering, Benchmarking, State space methods, Kalman filter (KF), Probability density function, Deep learning (DL), Long short-term memory, Uncertainty analysis, Kalman filters, Traffic congestion, Graph neural network (GNN), Uncertainty reduction, Forecasting

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/2909e6d82b8a409c8eb784a8e0e6ad00

Chatbot Democracy

Autori: Nicholas Croce

Zdroj: Perspectives on Public Management and Governance. 8:53-60

Predmety: Artificial Intelligence and Robotics, Communication Technology and New Media, Artificial Intelligence (AI), public administration, natural language processing, Other Political Science, Interpersonal and Small Group Communication, Science and Technology Studies, deliberative democracy, generative chatbots in government

Popis súboru: application/pdf

Human-AI Synergy in Survey Development: Implications from Large Language Models in Business and Research

Autori: Ping Fan Ke Ka Chung Ng

Zdroj: ACM Transactions on Management Information Systems. 16:1-39

Predmety: Large Language Model, Artificial Intelligence and Robotics, Databases and Information Systems, Scale Development, Computer Sciences, Generative AI, Behavioral Research

Popis súboru: application/pdf

The integration of big data in finTech: Review of enhancing financial services through advanced technologies

Autori: Pazouki, Soudeh Jamshidi, Mohammad B. Jalali, Mirarmia a ďalší

Zdroj: World Journal of Advanced Research and Reviews. 25:546-556

Predmety: Big Data, Artificial intelligence, Big data, Artificial Intelligence and Robotics, Finance and Financial Management, Artificial Intelligence, Data Science, Financial services, Corporate Finance, Fintech, Financial Services

Popis súboru: application/pdf

A two-phase learning approach integrated with multi-source features for cloud service QoS prediction

Autori: Chen, Fuzan Yang, Jing Feng, Haiyang a ďalší

Zdroj: Frontiers of Engineering Management. 12:117-127

Predmety: Artificial Intelligence and Robotics, Theory and Algorithms, Similarity measure, Data Science, Matrix factorization, QoS prediction, Cloud service, Deep neural network, Recommendation, Technology and Innovation, Quality

Popis súboru: application/pdf

Socially shared regulation of learning and artificial intelligence: Opportunities to support socially shared regulation

Autori: Jinhee Kim Rita Detrick Seongryeong Yu a ďalší

Zdroj: Education and Information Technologies. 30:11483-11521

Predmety: Design, Artificial Intelligence and Robotics, Educational Psychology, Pedagogical content knowledge, Framework, Socially shared regulation of learning, Educational Technology, Online collaborative learning, Tools, AI for education, Collaborative learning with AI, TPACK, Students perception

Popis súboru: application/pdf

Deep Reinforcement Learning With Explicit Context Representation

Autori: Francisco Munguia-Galeano Ah-Hwee Tan Ze Ji

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 36:419-432

Predmety: FOS: Computer and information sciences, Artificial intelligence, Computer Science - Machine Learning, machine learning (ML, Artificial Intelligence and Robotics, Theory and Algorithms, OS and Networks, deep reinforcement learning (RL), neural networks, Q-learning (QL), Machine Learning (cs.LG)

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37906492
http://arxiv.org/abs/2310.09924

The ATTUNE Model for Artificial Trust Towards Human Operators

Autori: Petousakis, Giannis Cangelosi, Angelo Stolkin, Rustam a ďalší

Zdroj: Petousakis, G, Cangelosi, A, Stolkin, R & Chiou, M 2025, The ATTUNE Model for Artificial Trust Towards Human Operators. in 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC) : Proceedings. IEEE, pp. 1-8, 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Kuching, Malaysia, 6/10/24. https://doi.org/10.1109/SMC54092.2024.10831621

Predmety: FOS: Computer and information sciences, Computer Science - Robotics, real time systems, monitoring and evaluation, robot awareness, human-robot collaboration, artificial intelligence (incl. Robotics), Robotics (cs.RO), navigation and exploration

Prístupová URL adresa: http://arxiv.org/abs/2411.19580
https://research.manchester.ac.uk/en/publications/1a2643db-3786-467e-8f46-564734e6681f
https://doi.org/10.1109/SMC54092.2024.10831621
https://research.manchester.ac.uk/en/publications/1a2643db-3786-467e-8f46-564734e6681f
https://doi.org/10.1109/SMC54092.2024.10831621
https://doi.org/10.48550/arXiv.2411.19580

BrushBuds: Toothbrushing Tracking Using Earphone IMUs

Autori: Yang, Q Liu, Y Stuchbury-Wass, J a ďalší

Prispievatelia: Yang, Q Liu, Y Stuchbury-Wass, J a ďalší

Zdroj: Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing. :655-660

Predmety: Artificial Intelligence and Robotics, Hardware Systems, Earable devices, Toothbrushing monitoring, IMUs

Popis súboru: application/pdf

Fostering Trust Through User Interface Design in Multi-Drone Search and Rescue

Autori: Johanna Ahlskog Maria-Theresa Bahodi Artur Lugmayr a ďalší

Zdroj: Ahlskog, J, Bahodi, M-T, Lugmayr, A & Merritt, T R 2024, Fostering Trust Through User Interface Design in Multi-Drone Search and Rescue. in TAS 2024-Proceedings of the 2nd International Symposium on Trustworthy Autonomous Systems., 2, Association for Computing Machinery (ACM), Austin TX USA, TAS '24: Second International Symposium on Trustworthy Autonomous Systems, Austin, Texas, United States, 16/09/2024. https://doi.org/10.1145/3686038.3686052

Predmety: Multi-agent robotic systems, Artificial Intelligence and Robotics, Computer Sciences, Unmanned aerial vehicle, Cognitive workload, Human Computer Interaction, Människa-datorinteraktion (interaktionsdesign), Search & Rescue, Trust, Situational awareness, Drone swarm, Human-drone interaction, Physical Sciences and Mathematics, Multi-robot systems, Multi-drone systems

Popis súboru: application/pdf

Prístupová URL adresa: https://vbn.aau.dk/da/publications/c25c6400-666f-4ed4-a0aa-7e6f233f8814
http://www.scopus.com/inward/record.url?scp=85205386200&partnerID=8YFLogxK
https://doi.org/10.1145/3686038.3686052
https://vbn.aau.dk/ws/files/753241867/3686038.3686052.pdf
https://vbn.aau.dk/ws/files/739172956/tas24-14.pdf
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-230579

Transparency and Authority Concerns with Using AI to Make Ethical Recommendations in Clinical Settings

Autori: Jeffrey Byrnes Michael Robinson

Zdroj: Nursing Ethics. 32:1749-1760

Predmety: transparency, Artificial intelligence, nursing ethics, Artificial Intelligence and Robotics, clinical ethics, 06 humanities and the arts, 0603 philosophy, ethics and religion, moral guidance, Health and Medical Administration, 03 medical and health sciences, 0302 clinical medicine, Applied Ethics, Medical Humanities

Popis súboru: application/pdf