Suchergebnisse - "Emerging Technologies"

Framework for optimizing the construction process in Saudi Arabia: the integration of lean construction, building information modeling (BIM), and emerging technologies

Autoren: Elnaggar, Omar Ahmed Mahmoud

Weitere Verfasser: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental

Thesis Advisors: Turmo Coderque, José, Atencio Castillo, Edison Patricio

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Lean Construction, Building Information Modelling, Emerging Technologies, Frame-work, Project Management, Construction Management, Lifecycle Construction, Sustainability, Àrees temàtiques de la UPC::Enginyeria civil, Àrees temàtiques de la UPC::Edificació, 624 - Enginyeria civil i de la construcció en general

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/695416
https://dx.doi.org/10.5821/dissertation-2117-443160

Towards Trustworthy Agentic IoEV: AI Agents for Explainable Cyberthreat Mitigation and State Analytics

Autoren: Dif, Meryem Malak Bouchiha, Mouhamed Amine Korba, Abdelaziz Amara et al.

Quelle: 2025 IEEE 50th Conference on Local Computer Networks (LCN). :1-10

Schlagwörter: Machine Learning, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Emerging Technologies (cs.ET), Cryptography and Security, Artificial Intelligence, Networking and Internet Architecture, Cryptography and Security (cs.CR), Emerging Technologies, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2509.12233

Bayes2IMC: In-Memory Computing for Bayesian Binary Neural Networks

Autoren: Prabodh Katti Clement Ruah Osvaldo Simeone et al.

Quelle: IEEE Transactions on Circuits and Systems I: Regular Papers. 72:5422-5435

Schlagwörter: FOS: Computer and information sciences, Emerging Technologies (cs.ET), Hardware Architecture (cs.AR), Computer Science - Emerging Technologies, Computer Science - Hardware Architecture

Zugangs-URL: http://arxiv.org/abs/2411.07902

A 9T4R RRAM-Based ACAM for Analogue Template Matching at the Edge

Autoren: Georgios Papandroulidakis Shady Agwa Ahmet Cirakoglu et al.

Quelle: IEEE Transactions on Circuits and Systems I: Regular Papers. 72:5545-5558

Schlagwörter: FOS: Computer and information sciences, Emerging Technologies (cs.ET), Hardware Architecture (cs.AR), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Emerging Technologies, Systems and Control (eess.SY), Computer Science - Hardware Architecture, Electrical Engineering and Systems Science - Systems and Control

Zugangs-URL: http://arxiv.org/abs/2410.03414

Fast Adaptation for Deep Learning-Based Wireless Communications

Autoren: Wang, Ouya He, Hengtao Zhou, Shenglong et al.

Quelle: IEEE Communications Magazine. 63:158-164

Schlagwörter: Computer Science - Networking and Internet Architecture, Networking and Internet Architecture (cs.NI), Signal Processing (eess.SP), FOS: Computer and information sciences, Emerging Technologies (cs.ET), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Emerging Technologies, Electrical Engineering and Systems Science - Signal Processing

Zugangs-URL: http://arxiv.org/abs/2409.04302

A 5T-2MTJ STT-Assisted Spin-Orbit-Torque-Based Ternary Content Addressable Memory for Hardware Accelerators

Autoren: Siri Narla Piyush Kumar Azad Naeemi

Quelle: IEEE Transactions on Magnetics. 61:1-9

Schlagwörter: FOS: Computer and information sciences, Emerging Technologies (cs.ET), Hardware Architecture (cs.AR), Computer Science - Emerging Technologies, Computer Science - Hardware Architecture

Zugangs-URL: http://arxiv.org/abs/2409.17863

SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis

Autoren: Yu Liu Weiyao Tao Tong Xia et al.

Quelle: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :1903-1914

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Emerging Technologies (cs.ET), Computer Science - Artificial Intelligence, Computer Science - Emerging Technologies, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2505.14803

The Quantum Approximate Optimization Algorithm Can Require Exponential Time to Optimize Linear Functions

Autoren: Francisco Chicano Zakaria Abdelmoiz Dahi Gabriel Luque

Quelle: RIUMA. Repositorio Institucional de la Universidad de Málaga
Universidad de Málaga

Schlagwörter: Quantum optimization, FOS: Computer and information sciences, Quantum Physics, Algoritmos computacionales, Emerging Technologies (cs.ET), Computación cuántica, gate-based quantum computers, Computer Science - Emerging Technologies, FOS: Physical sciences, linear functions, QAOA, Quantum Physics (quant-ph)

Zugangs-URL: http://arxiv.org/abs/2505.06404
https://hdl.handle.net/10630/39485

Multi-VQC: A Novel QML Approach for Enhancing Healthcare Classification

Autoren: Tudisco, Antonio Volpe, Deborah Turvani, Giovanna

Quelle: 2025 IEEE International Conference on Quantum Software (QSW). :28-34

Schlagwörter: Quantum Machine Learning, Quantum Neural Network, Variational Quantum Circuits, Healthcare, Classification, Machine Learning, FOS: Computer and information sciences, Emerging Technologies (cs.ET), Emerging Technologies, Machine Learning (cs.LG)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2505.20797

Smart Industry Sweden: A Collaborative Industrial Graduate School

Autoren: Thorvald, Peter Bäckstrand, Jenny Malmsköld, Lennart et al.

Quelle: Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning Advances in Transdisciplinary Engineering. :719-730

Schlagwörter: Smart industry, emerging technologies, industry 4.0, education, graduate school, Production Technology, Produktionsteknik

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-21502
https://ebooks.iospress.nl/ISBN/978-1-64368-510-6

Global adoption of generative AI: What matters most?

Autoren: Hassnian Ali Atta ul Mustafa Ahmet Faruk Aysan

Quelle: Journal of Economy and Technology, Vol 3, Iss, Pp 166-176 (2025)

Schlagwörter: Economics as a science, Generative AI, Electronic computers. Computer science, Global Adoption, Social Sciences, QA75.5-76.95, Future, HB71-74, Emerging Technologies

Zugangs-URL: https://doaj.org/article/94ba81d679b64caa9000e6f018716261

SoK: Bitcoin Layer Two (L2)

Autoren: Minfeng Qi Qin Wang Zhipeng Wang et al.

Quelle: Qi, M, Wang, Q, Wang, Z, Schneider, M, Zhu, T, Chen, S, Knottenbelt, W & Hardjono, T 2025, 'SoK: Bitcoin Layer Two (L2)', ACM Computing Surveys. https://doi.org/10.1145/3763232

Schlagwörter: FOS: Computer and information sciences, Computer Science - Cryptography and Security, Emerging Technologies (cs.ET), Computer Science - Emerging Technologies, Cryptography and Security (cs.CR)

Zugangs-URL: http://arxiv.org/abs/2409.02650

A Coalgebraic Model of Quantum Bisimulation

Autoren: Ceragioli, Lorenzo Di Lavore, Elena Lomurno, Giuseppe et al.

Quelle: Electronic Proceedings in Theoretical Computer Science. 429:249-269

Schlagwörter: FOS: Computer and information sciences, Emerging Technologies (cs.ET), Logic in Computer Science, Emerging Technologies, Logic in Computer Science (cs.LO)

Zugangs-URL: http://arxiv.org/abs/2509.20933

Enhancing Disaster Resilience with UAV-Assisted Edge Computing: A Reinforcement Learning Approach to Managing Heterogeneous Edge Devices

Autoren: Talha Azfar Kaicong Huang Ruimin Ke

Quelle: ACM Journal on Autonomous Transportation Systems. 3:1-21

Schlagwörter: FOS: Computer and information sciences, Emerging Technologies (cs.ET), Artificial Intelligence (cs.AI), Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Artificial Intelligence, Computer Science - Emerging Technologies, Distributed, Parallel, and Cluster Computing (cs.DC)

Zugangs-URL: http://arxiv.org/abs/2501.15305

GIScience in the era of Artificial Intelligence: a research agenda towards Autonomous GIS

Autoren: Zhenlong Li Huan Ning Song Gao et al.

Quelle: Annals of GIS. :1-36

Schlagwörter: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Artificial Intelligence (cs.AI), Emerging Technologies (cs.ET), Computer Science - Artificial Intelligence, Computer Science - Emerging Technologies

Zugangs-URL: http://arxiv.org/abs/2503.23633

Accurate Modeling of Continuous-time SAT Solvers in SPICE

Autoren: Pershin, Y. V. Nguyen, D. C.

Quelle: Radioengineering. 34:526-540

Schlagwörter: SPICE, FOS: Computer and information sciences, 3-SAT, computing technology, Emerging Technologies (cs.ET), boolean satisfiability problem, Computer Science - Emerging Technologies, FOS: Physical sciences, nonlinear dynamical systems, Chaotic Dynamics (nlin.CD), Nonlinear Sciences - Chaotic Dynamics

Dateibeschreibung: text; application/pdf

Zugangs-URL: http://arxiv.org/abs/2412.14690
https://hdl.handle.net/11012/255413

High-Performance Real-World Optical Computing Trained by in Situ Gradient-Based Model-Free Optimization

Autoren: Guangyuan Zhao Xin Shu Renjie Zhou

Quelle: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47:7194-7205

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Emerging Technologies (cs.ET), Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Computer Science - Emerging Technologies, FOS: Physical sciences, Physics - Optics, Optics (physics.optics), Machine Learning (cs.LG)

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39316490
http://arxiv.org/abs/2307.11957

On the Energy-Efficiency Trade-Off Between Active and Passive Communications With RIS-Based Symbiotic Radio

Autoren: Sihan Wang Jingran Xu Yong Zeng

Quelle: IEEE Transactions on Green Communications and Networking. 9:1107-1121

Schlagwörter: FOS: Computer and information sciences, Emerging Technologies (cs.ET), Computer Science - Information Theory, Information Theory (cs.IT), Computer Science - Emerging Technologies, 7. Clean energy

Zugangs-URL: http://arxiv.org/abs/2305.13621

mmWave Radar for Sit-to-Stand Analysis: A Comparative Study With Wearables and Kinect

Autoren: Shuting Hu Peggy Ackun Xiang Zhang et al.

Quelle: IEEE Transactions on Biomedical Engineering. 72:2623-2634

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Emerging Technologies (cs.ET), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Emerging Technologies, Applications (stat.AP), Electrical Engineering and Systems Science - Signal Processing, Statistics - Applications

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40042953
http://arxiv.org/abs/2411.14656

Sustainable Wireless Networks via Reconfigurable Intelligent Surfaces (RISs): Overview of the ETSI ISG RIS

Autoren: Ruiqi Liu Shuang Zheng Qingqing Wu et al.

Quelle: IEEE Communications Standards Magazine. 9:111-117

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Emerging Technologies (cs.ET), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Emerging Technologies, Electrical Engineering and Systems Science - Signal Processing, 7. Clean energy

Zugangs-URL: http://arxiv.org/abs/2406.05647