Seasonal Decomposition‐Enhanced Deep Learning Architecture for Probabilistic Forecasting
ABSTRACT Time series decomposition as a general preprocessing method has been widely used in the field of time series forecasting. However, since the future is unknown, this preprocessing practice is limited in realistic forecasting, especially in real‐time forecasting scenarios.
Keyan Jin +1 more
wiley +1 more source
Targetable Vulnerabilities in MYC‐Driven B Cell Lymphomas Resistant to BCR Extinction
ABSTRACT Polatuzumab vedotin, an antibody‐drug conjugate (ADC) targeting the B cell receptor (BCR) signaling subunit CD79B, has recently entered frontline therapy for diffuse large B cell lymphoma (DLBCL) and high‐grade B cell lymphoma (HGBCL), achieving encouraging clinical results. However, MYC‐driven B cell lymphomas, particularly HGBCL with MYC and
Silvia Brambillasca +15 more
wiley +1 more source
Hybrid modeling and forecasting of COVID-19: integrating SEAIQHRD and GPR for improved predictions. [PDF]
Rao MA +5 more
europepmc +1 more source
Adaptive Feeding Robot With Multisensor Feedback and Predictive Control Using Autoregressive Integrated Moving Average-Feed-Forward Neural Network: Simulation Study. [PDF]
Sadeghi-Esfahlani S +5 more
europepmc +1 more source
ABSTRACT Background & Aims Dengue is a significant vector‐borne disease that has severely impacted public health in Bangladesh, underscoring the growing importance of digital health in enhancing surveillance and prevention. Understanding its trends and future estimates is crucial for improving early prevention strategies.
Arman Hossain Chowdhury
wiley +1 more source
Trends in Open and Endoscopic Carpal Tunnel Release: Medicare Projections Through 2040. [PDF]
Mastrokostas PG +6 more
europepmc +1 more source
Forecasting Natural Gas Prices in Real Time
ABSTRACT This paper provides a comprehensive analysis of the forecastability of the real price of natural gas in the United States at the monthly frequency considering a universe of models that differ in complexity and economic content. We find that considerable reductions in mean‐squared prediction error relative to a no‐change benchmark can be ...
Christiane Baumeister +3 more
wiley +1 more source
Integrating quantile regression with ARIMA and ANN for interpretable and accurate PM2.5 forecasting in Hat Yai, Thailand. [PDF]
Chumnaul J, Damkliang K.
europepmc +1 more source
ABSTRACT This paper uses market segmentation and multiple regression to estimate the impact of Airbnb on Japan's hotel industry. A theoretical framework for Airbnb's business model is presented: a three‐sided market platform consisting of guests, incumbent hotels, and private lodging.
Yoshihiro Ito, Daichi Mitsumoto
wiley +1 more source
Modeling and forecasting air pollution for public health protection based on ML and time series models in Gulf Cooperation Council (GCC) countries. [PDF]
Daniyal M +5 more
europepmc +1 more source

