过去一年中添加的文章,按日期排序

TEL'M: Test and Evaluation of Language Models

G Cybenko, J Ackerman, P Lintilhac - arXiv preprint arXiv:2404.10200, 2024 - arxiv.org
69 天前 - … but those efforts have been largely ad hoc with results that are … and evaluation of
artificial intelligence technologies has … that this methodology could be applied to other Artificial

Towards Controlled Design of Learning Agents for Automated Video Game Playing

D Gotojuch - Game AI Uncovered - taylorfrancis.com
70 天前 - … behaviour flow through ad hoc authoring with a layered approach to separate the
… both ad hoc and learning logic, but if the proxy layer is present, it is expected to use ad hoc

Remote Glacier Monitoring Through Semantic Fusion of Geographic and Contextual Data

S Senatore, G Albamonte, G Falcone - Available at SSRN 4796151 - papers.ssrn.com
70 天前 - … model that combines Machine Learning methods for satellite … An ad-hoc ontology
was developed to model the … and Deep Learning techniques for segmenting remote sensing im…

FeRHA: Fuzzy-Extractor-Based RF and Hardware Fingerprinting Two-Factor Authentication

M Alkanhal, M Younis, A Alali, SS Mehjabin - Applied Sciences, 2024 - mdpi.com
70 天前 - … This paper investigates the potential use of machine learning techniques as part of
a … response mapping, achieved through machine learning (ML) techniques. It is imperative to …

Designing RISC-V Instruction Set Extensions for Artificial Neural Networks: An LLVM Compiler-Driven Perspective

KK Balasubramanian, M Di Salvo, W Rocchia… - IEEE …, 2024 - ieeexplore.ieee.org
70 天前 - … ABSTRACT The demand for Artificial Intelligence (AI) based solutions is exponentially
… to run particular neural network algorithms. Compared to standard methods, we choose a …

Towards optimal tuned machine learning techniques based vehicular traffic prediction for real roads scenarios

R Qaddoura, MB Younes, A Boukerche - Ad Hoc Networks, 2024 - Elsevier
70 天前 - Machine learning and artificial intelligence mechanisms have been widely used
to predict the traffic characteristics on road networks [12], [13], [27]. Grid search …

Improved Vehicular Congestion Classification using Machine Learning for VANETs

SAA Shah, X Fernando, R Kashef - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
71 天前 - … of a reliable connected vehicular adhoc network (VANET) … and explains the research
methodology adopted in this … input to compare KNN, artificial neural network (ANN) and …

Reliable prediction of difficult airway for tracheal intubation from patient preoperative photographs by machine learning methods

F García, DJ Lee, F Mendoza Garcés… - 2024 - bird.bcamath.org
73 天前 - … Subsequently, here we propose four ad hoc ML pipelines for … In addition, we
developed an ad hoc multi-input DCNN to … state-of-the-art methods (three clinical formulae, four …

AI-Based Effective Communication in Software-Defined VANET: A Study

A Haldorai, S Murugan, M Balakrishnan - Artificial Intelligence for …, 2024 - Springer
74 天前 - methods based on artificial intelligence for modifying the broadcast range [23]. To
augment VANET, Different techniques can be used like machine learning… of ad hoc networks, …

Intrusion Detection Systems and its application in latest Networking Technologies–A Survey

K Shanthi, R Maruthi - Educational Administration: Theory and Practice, 2024 - kuey.net
74 天前 - Artificial Intelligence (AI) techniques were used in all the … , gathers, and examines
mobile ad hoc node activity data in … mobile ad hoc networks (MANET) prevention techniques