Pattern-based clustering of daily weigh-in trajectories using dynamic time warping. [PDF]
Bothwell S +5 more
europepmc +1 more source
DTW-C++: Fast dynamic time warping and clustering oftime series data [PDF]
Volkan Kumtepeli +2 more
openalex +1 more source
Research on Yaw Deviation of Wind Turbine Based on Dynamic Time Warping
Xinda Xu +5 more
openalex +1 more source
Crossed cerebellar diaschisis in status epilepticus: A systematic review of the literature
Abstract Objective Crossed cerebellar diaschisis is a neuroimaging phenomenon observed in various neurological conditions, including status epilepticus. This systematic review aims to summarize the clinical and radiological characteristics of patients developing crossed cerebellar diaschisis following status epilepticus and to discuss potential ...
Payam Tabaee Damavandi +6 more
wiley +1 more source
Data Filtering Method for Intelligent Vehicle Shared Autonomy Based on a Dynamic Time Warping Algorithm. [PDF]
Gao Z, Yu T, Sun T, Zhao H.
europepmc +1 more source
Voice Recognition using Dynamic Time Warping and Mel-Frequency Cepstral Coefficients Algorithms
Abdelmajid Hassan Mansour +2 more
openalex +1 more source
Wearable fabric electronics for sensing, memory and neuromorphic computing applications
Overview of textile electronic devices for sensing, memory and neuromorphic computing applications. Abstract With the advent of the big data era, traditional Von Neumann architecture is facing an energy consumption bottleneck due to separated memory and computing units, inspiring the research of brain‐like neuromorphic computing devices for artificial ...
Bo Sun, Lin Lu, Jialin Meng, Tianyu Wang
wiley +1 more source
Classifying ball trajectories in invasion sports using dynamic time warping: A basketball case study. [PDF]
Yu YY, Wu PP, Mengersen K, Hobbs W.
europepmc +1 more source
Assessment of human gait after total knee arthroplasty by dynamic time warping algorithm [PDF]
Reza Abbasi‐Kesbi +3 more
openalex +1 more source
Relative Geologic Time By Dynamic Time Warping
This thesis considers an approach to tackle a core problem within seismic interpretation, which is bringing an autonomously generated interpretation of the seismic data, which is now known as a Relative Geologic Time. The proposed method readily utilizes the method of Dynamic Time Warping, which is an established method within signal processing.
openaire +1 more source

