Results 41 to 50 of about 5,348 (187)
The dynamic time warping (DTW) algorithm is widely used in pattern matching and sequence alignment tasks, including speech recognition and time series clustering.
Yihang Jiang +6 more
doaj +1 more source
ABSTRACT The FAO's “blue transformation” roadmap necessitates a fundamental shift towards precision aquaculture to meet global food security targets while minimizing environmental footprints. This review provides a comprehensive overview of how artificial intelligence (AI) and decision support systems (DSS) serve as pivotal enablers for the “better ...
Mustafa Öz, Enes Üstüner
wiley +1 more source
In order to improve the effect of continuous speech recognition, this paper combines the DTW algorithm to construct a continuous Russian speech recognition system and proposes a continuous Russian speech detection method based on VGDTW-MPCA with an ...
Chunping Yu, Xin Wang
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Abstract Generative AI is increasingly positioned as a peer in collaborative learning, yet its effects on ethical deliberation remain unclear. We report a between‐subjects experiment with university students (N = 217) who discussed an autonomous‐vehicle dilemma in triads under three conditions: human‐only control, supportive AI teammate or contrarian ...
Yueqiao Jin +7 more
wiley +1 more source
DTW–RADON-BASED SHAPE DESCRIPTOR FOR PATTERN RECOGNITION [PDF]
In this paper, we present a pattern recognition method that uses dynamic programming for the alignment of Radon features. The key characteristic of the method is to use dynamic time warping (DTW) to match corresponding pairs of the Radon features for all possible projections.
KC Santosh +2 more
openaire +1 more source
On Discrete Time Wilson Systems
In this paper, we define the discrete time Wilson frame (DTW frame) for l2ℤ and discuss some properties of discrete time Wilson frames. Also, we give an interplay between DTW frames and discrete time Gabor frames.
Teena Kohli, Suman Panwar, S. K. Kaushik
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Ecological patterns are often fundamentally chronological. However, generalization of data is necessarily accompanied by a loss of detail or resolution. Temporal data in particular contain information not only in data values but in the temporal structure,
Jens C. Hegg, Brian P. Kennedy
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L‐VISP: LSTM Visualization for Interpretable Symptom Prediction in Patient Cohorts
L‐VISP is a human‐machine solution that uses visual analytics for LSTM modelling in clinical research. L‐VISP uses custom visual encodings to make multiple LSTM variants interpretable, supporting a full range of analysis, from understanding model operations and evaluating performance to interpreting results in a clinical context.
C. Floricel +6 more
wiley +1 more source
Automatic Generation of Piano Score Following Videos
This article studies the problem of generating a piano score following video from an audio recording in a fully automated manner. This problem contains two components: identifying the piece and aligning the audio with raw sheet music images.
Mengyi Shan, T. J. Tsai
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ABSTRACT Aims Type 2 diabetes (T2D) is associated with increased hip fracture risk. We evaluated the impact of T2D on post‐hip fracture outcomes, which is less well described. Materials and Methods Individuals aged ≥ 60 years hospitalised for hip fractures between 2011 and 2020 were identified from the territory‐wide electronic health records of Hong ...
Xincheng Zou +12 more
wiley +1 more source

