Zobrazeno 1 - 10
of 9 761
pro vyhledávání: '"Event detection"'
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 11, Pp 3015-3026 (2024)
Event detection is a key task in the field of natural language processing, aiming to identify event trigger words and correctly classify their event types. Sentence-level event detection methods fail to effectively utilize intra-sentence and inter-se
Externí odkaz:
https://doaj.org/article/ad60caec67124c9ca2a1935b0d565fe1
Autor:
Konun Koushesh, Joachim R. R. Ritter
Publikováno v:
Journal of Applied Volcanology, Vol 13, Iss 1, Pp 1-21 (2024)
Abstract We introduce a seismic event detector that applies signal analysis in the time and frequency domains. Signals are searched for with matching coincidences at neighbouring recording stations in space and time. No a priori waveform information
Externí odkaz:
https://doaj.org/article/360e9b0e7a674cb2ab8e871862dfe50c
Autor:
Maxim K. Surkov
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 24, Iss 5, Pp 758-769 (2024)
The task of automatic metainformation recognition from audio sources is to detect and extract data of various natures (speech, noises, acoustic scenes, acoustic events, anomalies) from a given audio input signal. This area is well developed and kno
Externí odkaz:
https://doaj.org/article/bf33ba510ce8430dbea5a9ae18304a00
Publikováno v:
智能科学与技术学报, Vol 6, Pp 347-355 (2024)
The superior data analytics and logical reasoning capabilities of big language models provide new ideas for real-time traffic management and assisted decision-making. ChatGPT efficiently processes and analyzes publicly available social media data to
Externí odkaz:
https://doaj.org/article/259627cdb1464a2aaf6a08525afc0742
Autor:
Mikhail Andeevich Kovalchuk, Anastasiia Filatova, Aleksei Korneev, Mariia Koreneva, Denis Nasonov, Aleksandr Voskresenskii, Alexander Boukhanovsky
Publikováno v:
Smart Cities, Vol 7, Iss 5, Pp 2763-2780 (2024)
The digital world is increasingly permeating our reality, creating a significant reflection of the processes and activities occurring in smart cities. Such activities include well-known urban events, celebrations, and those with a very local characte
Externí odkaz:
https://doaj.org/article/f8ba71962e3645689fec67f86977761d
Autor:
Matjaž Zadravec, Zlatko Matjačić
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-11 (2024)
Abstract Background Gait event detection is crucial for assessment, evaluation and provision of biofeedback during rehabilitation of walking. Existing online gait event detection algorithms mostly rely on add-on sensors, limiting their practicality.
Externí odkaz:
https://doaj.org/article/0115f0f6d80c4948b3f03ba1099e41ca
Few-shot cybersecurity event detection method by data augmentation with prompting question answering
Publikováno v:
Tongxin xuebao, Vol 45, Pp 62-74 (2024)
The cybersecurity field lacks sufficient annotated data for event recognition, and the scenarios and semantics are complex, making it difficult to construct accurate event recognition models. A few-shot cybersecurity event detection method by data au
Externí odkaz:
https://doaj.org/article/0259453cdbc74e1b9ec423fbd074a04b
Publikováno v:
Gases, Vol 4, Iss 3, Pp 174-190 (2024)
The systematic analysis of measurement data allows a large amount of information to be obtained from existing measurements in a short period of time. Especially in vehicle development, many measurements are performed, and large amounts of data are co
Externí odkaz:
https://doaj.org/article/4983dd1cb1954e1780a0b0ee0f61bca3
Autor:
Michael Nigro, Sridhar Krishnan
Publikováno v:
Machine Learning with Applications, Vol 18, Iss , Pp 100593- (2024)
Audio scene analysis involves a variety of tasks to obtain information from an audio environment. Audio source counting is one such task that has implications to many other aspects of audio analysis, yet it is relatively unexplored. This work present
Externí odkaz:
https://doaj.org/article/ab4d25579a8345c9ae0c15f10fbd76bb
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-16 (2024)
Abstract Polyphonic sound source localization and detection (SSLD) task aims to recognize the categories of sound events, identify their onset and offset times, and detect their corresponding direction-of-arrival (DOA), where polyphonic refers to the
Externí odkaz:
https://doaj.org/article/b5fbdcd2e5e04128a8e197a9fe9d9aa0