Temporally aligned segmentation and clustering (TASC) framework for behavior time series analysis

E Zinkovskaia, O Tahary, Y Loewenstern… - Scientific Reports, 2024 - nature.com
Behavior exhibits a complex spatiotemporal structure consisting of discrete sub-behaviors,
or motifs. Continuous behavior data requires segmentation and clustering to reveal these …

Improving stock trend prediction through financial time series classification and temporal correlation analysis based on aligning change point

M Liang, X Wang, S Wu - Soft Computing, 2023 - Springer
In order to improve the accuracy of stock prediction, people major in computer science and
technology begin to apply their techniques to the financial market. In the financial market …

[PDF][PDF] Automatic note generator for Javanese gamelan music accompaniment using deep learning.

A Kurniawati, EM Yuniarno, YK Suprapto… - International Journal of …, 2023 - core.ac.uk
Melody and harmony are important concepts in music. Melody refers to the tone and rhythm
[1], while harmony is the use of chords or tones together [2]. They work together to create a …

Evaluation of the gross motor abilities of autistic children with a computerised evaluation method

X Liu, J Chen, G Wang, K Zhang, J Sun… - Behaviour & …, 2024 - Taylor & Francis
To effectively evaluate the gross motor ability of autistic children, we proposed a method of
computerised evaluation of gross motor skills (CEGM). The CEGM integrates Dynamic Time …

Positioning performance of a hexapod machining cell under machining and nonmachining operations

K Xing, IA Bonev, Z Liu, H Champliaud - Journal of Mechanical Science …, 2024 - Springer
Robotic machining is becoming increasingly popular in modern manufacturing owing to its
cost and flexibility advantages. Compared with serial robots, a hexapod-based industrial …

Speech recognition using efficientnet

Q Lu, Y Li, Z Qin, X Liu, Y Xie - Proceedings of the 2020 5th International …, 2020 - dl.acm.org
Aiming at the problem of speech recognition, this paper trains the latest convolutional
network model EfficientNet with better performance to improve its recognition accuracy. To …

Deep learning assessment of syllable affiliation of intervocalic consonants

Z Liu, Y Xu - The Journal of the Acoustical Society of America, 2023 - pubs.aip.org
In English, a sentence like “He made out our intentions.” could be misperceived as “He may
doubt our intentions.” because the coda/d/sounds like it has become the onset of the next …

Design of agricultural wireless sensor network node optimization method based on improved data fusion algorithm

T Ruipeng, Y Jianbu, T Jianrui, NK Aridas, MSA Talip - PloS one, 2024 - journals.plos.org
The agricultural WSN (wireless sensor network) has the characteristics of long operation
cycle and wide coverage area. In order to cover as much area as possible, farms usually …

A novel time-sensitive composite similarity model for multivariate time-series correlation analysis

M Liang, X Wang, S Wu - Entropy, 2021 - mdpi.com
Finding the correlation between stocks is an effective method for screening and adjusting
investment portfolios for investors. One single temporal feature or static nontemporal …

Machine learning-based prediction of transcriber performance on a segment of audio

EA Shellef, YKB Tsvi, I Getz, T Livne… - US Patent …, 2020 - Google Patents
When transcribing large audio files, such as in the case of legal depositions, there are often
many transcribers to choose from. Embodiments described herein enable calcu lation of …