Results 41 to 50 of about 10,385 (175)
Effective Teaching and Learning: Using ICT [PDF]
, 2007 Mellar, H., Kambouri, M., Logan, K., Betts, S., Nance, B., Moriarty, V. (2007) Effective Teaching and Learning: Using ICT. London: NRDC. Available at: http://www.nrdc.org.uk/uploads/documents/doc_3347.pdfResearch report for NRDCFindings and ...
Betts, Sally +5 more
core +2 more sources
Journal of the Association for Information Science and Technology, Volume 76, Issue 5, Page 752-769, May 2025.Abstract This paper investigates the use of multimedia verification, in particular, computational tools and Open‐source Intelligence (OSINT) methods, for verifying online multimedia content in the context of the ongoing wars in Ukraine and Gaza. Our study examines the workflows and tools used by several fact‐checkers and journalists working at Faktisk,
Sohail Ahmed Khan +6 more
wiley +1 more source
Consensus Graph Representation Learning for Better Grounded Image Captioning
, 2021 The contemporary visual captioning models frequently hallucinate objects that are not actually in a scene, due to the visual misclassification or over-reliance on priors that resulting in the semantic inconsistency between the visual information and the ...
Shi, Haochen +5 more
core +2 more sources
Expert Systems, Volume 42, Issue 2, February 2025.Abstract Conversational assistants (CAs) and Task‐oriented ones, in particular, are designed to interact with users in a natural language manner, assisting them in completing specific tasks or providing relevant information. These systems employ advanced natural language understanding (NLU) and dialogue management techniques to comprehend user inputs ...
Mourad Jbene +4 more
wiley +1 more source
Interpreting conflict from speech to sign on Italian television [PDF]
, 2011 If research on the role of spoken-language interpreting in global news coverage is limited, the role of signed-language interpreting in this area is news in itself!
Kellett Bidoli, Cynthia J., Sala, Rita
core +1 more source
Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis [PDF]
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)This paper introduces our solution for Track 2 in AI City Challenge 2024. The task aims to solve traffic safety description and analysis with the dataset of Woven Traffic Safety (WTS), a real-world Pedestrian-Centric Traffic Video Dataset for Fine ...
Maged Shoman +3 more
semanticscholar +1 more source
IET Image Processing, Volume 19, Issue 1, January/December 2025.This paper proposes a person retrieval framework that integrates YOLOv8s and person re‐identification (Re‐ID), aimed at accurately retrieving target person in video surveillance. Improved YOLOv8s is employed to extract person categories from the video on a frame‐by‐frame basis, and when combined with the stage‐wise clustering person Re‐ID network (SCPN)
Jianjun Zhuang +3 more
wiley +1 more source
Innovation and social learning in higher education institutions [PDF]
, 2016 Considering the existing experiences and the concrete needs of the hearing - impaired and visually - impaired groups for accessing HEI programmes, this handboook brings some important innovations: 1.
Caforio, Alessandro +9 more
core
DIBS: Enhancing Dense Video Captioning with Unlabeled Videos via Pseudo Boundary Enrichment and Online Refinement [PDF]
Computer Vision and Pattern RecognitionWe present Dive Into the BoundarieS (DIBS), a novel pretraining framework for dense video captioning (DVC), that elaborates on improving the quality of the generated event captions and their associated pseudo event bound-aries from unlabeled videos.
Hao Wu, Huabin Liu, Yu Qiao, Xiao Sun
semanticscholar +1 more source
Ensemble Transformer–Based Detection of Fake and AI–Generated News
Applied Computational Intelligence and Soft Computing, Volume 2025, Issue 1, 2025.The proliferation of fake online and AI–generated news content poses a significant threat to information integrity. This work leverages advanced natural language processing, machine learning, and deep learning algorithms to effectively detect fake and AI–generated content.
Md. Ishraquzzaman +4 more
wiley +1 more source