Results 41 to 50 of about 483,582 (250)
tsflex: Flexible time series processing & feature extraction
SoftwareX, 2022 Time series processing and feature extraction are crucial and time-intensive steps in conventional machine learning pipelines. Existing packages are limited in their applicability, as they cannot cope with irregularly-sampled or asynchronous data and ...
Jonas Van Der Donckt +3 more
doaj +1 more source
New Optimized Adaptive Time Series IDS Classifier Algorithm: Beyond Deep Learning
IEEE Access, 2023 Adaptive time series Intrusion Detection System (IDS) Classifier is essential to detect real-time cyber-threats. Meanwhile, optimized hyperparameters on time series IDS classifier model will ensure swift detection. However, current studies on Time Series
Saiyed Rasol Bin Tuan Muda +4 more
doaj +1 more source
The effects of promoter methylation on downregulation of DAZAP2 in multiple myeloma cell lines. [PDF]
PLoS ONE, 2012 Our previous studies had shown that DAZAP2 was profoundly downregulated in bone marrow mononuclear cells from multiple myeloma patients. In this report, we analyzed epigenetic changes in multiple myeloma cell lines to understand the molecular mechanisms ...
Sai-Qun Luo +7 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider +15 more
wiley +1 more source
Ultra-short-term and Short-term Power Load Single-step and Multi-step Prediction Considering Spatial Association [PDF]
Jisuanji gongchengAccurate ultra-short-term and short-term multi-region power load forecasting is the key to achieving rapid response and real-time scheduling in power systems.
GENG Zhenwei, LI Shenzhang, YU Fengrong
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk +10 more
wiley +1 more source
Electronics LettersMultivariate time series forecasting is widely used in various fields in real life. Many time series prediction models have been proposed. The current forecasting model lacks the mining of correlation between sequences based on different periods and ...
WenChang Zhang +5 more
doaj +1 more source
Emergence of functional hierarchy in a multiple timescale neural network model: a humanoid robot experiment. [PDF]
PLoS Computational Biology, 2008 It is generally thought that skilled behavior in human beings results from a functional hierarchy of the motor control system, within which reusable motor primitives are flexibly integrated into various sensori-motor sequence patterns.
Yuichi Yamashita, Jun Tani
doaj +1 more source
Management of panfacial and complex facial fractures: A Belgaum perspective – Case series
Indian Journal of Health Sciences and Biomedical Research KLEU, 2023 Multiple facial bone fractures usually are consequential to severe injuries secondary to motor vehicle calamities. These complex and panfacial fractures are usually associated with multiple systemic injuries that mandate a multidisciplinary approach to ...
Vijaylaxmi Shettar +4 more
doaj +1 more source
, 2023 Time-series forecasting is a challenging task that requires high accuracy and efficiency. Hybrid models that combine decomposition algorithms with multiple individual models have demonstrated promising results for forecasting performance.
Y He (7724882) +2 more
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