Results 121 to 130 of about 31,978 (281)
Urban water supply networks are prone to complex noise interference, which significantly degrades the performance of data-driven forecasting models. Conventional denoising techniques, such as standard Variational Mode Decomposition (VMD), often rely on ...
Yujie Shang, Zheng Zhang
doaj +1 more source
Urbanization and food transition in the Brazilian Amazon: From wild to domesticated meat
Abstract Urbanization is expected to influence food transitions, resulting in a shift from wild foods to more domesticated foods. Concomitantly, food insecurity and urban demand for natural resources, including wildlife, are expected to increase overall, even when the per capita consumption is expected to decrease.
Willandia A. Chaves +7 more
wiley +1 more source
ABSTRACT Objective To review the published literature on prenatal findings of COL2A1‐related SEDC, summarizing reported imaging and molecular variants, and to describe two additional prenatal cases evaluated at a tertiary referral center. Method A narrative review with a systematic search strategy was conducted to analyze prenatal imaging findings ...
López‐Rodríguez Larissa +10 more
wiley +1 more source
In this study, we offer a dual-decomposition hybrid time series forecasting model that combines improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and variational mode decomposition (VMD) with gated recurrent unit (GRU)
Aastha M. Sathe +2 more
doaj +1 more source
ABSTRACT The aggregation of human islet amyloid polypeptide (hIAPP) into cytotoxic oligomers and amyloid fibrils is a hallmark of type 2 diabetes mellitus (T2DM), leading to pancreatic β‐cell dysfunction. In contrast, rat IAPP (rIAPP) is largely non‐amyloidogenic. Osmolytes such as glucose, glycerol, and sorbitol are known to stabilize globular protein
Kiara A. Kidman +3 more
wiley +1 more source
Epx4 Nanopore With Multiple Constrictions for Single‐Molecule Identification
Epx4 is a biological multi‐constriction nanopore that generates informative current signals for polypeptide sensing. Compared with α‐hemolysin, Epx4 detects short poly‐L‐lysine (S‐PLL, Mw 10 kDa) at a higher event frequency and produces signal features that distinguish it from long poly‐L‐lysine (L‐PLL, Mw 30–70 kDa), with an ROC AUC of 0.82 for the ...
Ayako Ijuin +7 more
wiley +1 more source
Prediction of significant wave height using a VMD-LSTM-rolling model in the South Sea of China
Accurate prediction of significant wave height is crucial for ocean engineering. Traditional time series prediction models fail to achieve satisfactory results due to the non-stationarity of significant wave height.
Tong Ding +5 more
doaj +1 more source
PREDIKSI HARGA PANGAN HORTIKULTURA MENGGUNAKAN VMD-LSTM DAN OPTIMASI PSO [PDF]
Penelitian ini mengembangkan model prediksi harga komoditas hortikultura bawang merah, bawang putih, cabai merah, dan cabai rawit dengan mengintegrasikan metode Variational Mode Decomposition (VMD), Long ShortTerm Memory (LSTM), dan Particle Swarm ...
Tanjung, Mutiq Anisa
core
Fault Diagnosis Method of Bearings Based on SCSSA-VMD-MCKD
To tackle the issue of detecting early, subtle faults in rolling bearings in the presence of noise interference, the SCSSA-VMD-MCKD method is suggested.
Xiancong Wu +3 more
core +1 more source
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge +4 more
wiley +1 more source

