Results 151 to 160 of about 35,156 (275)
Deep learning for Robust EEG Signal Forecasting using Long Short Term Memory Neural Network [PDF]
Iranian Journal of Electrical and Electronic EngineeringSignal forecasting in the medical field has many applications, such as signal correction and anomaly detection. According to this application, robust forecasting is required to obtain a signal identical to the original signal.
Duaa A. Kareem +4 more
doaj
Artificial Intelligence in Climate and Sustainable Finance: A Blessing or a Curse?
Journal of Economic Surveys, EarlyView.ABSTRACT While there are concerns regarding the sustainability of artificial intelligence (AI), it is a potential ally in the transition toward a greener future. It offers advanced tools for data analysis; risk modeling; and environmental, social, and governance (ESG) assessment.
Filippo di Pietro +3 more
wiley +1 more source
Impact of reintroduced elaphure on soil carbon storage in eastern Jiangsu Province, China
Restoration Ecology, EarlyView.Abstract Introduction The reintroduction in the wild of elaphure or Père David's deer (Elaphurus davidianus) in a coastal wetland in Dafeng, Jiangsu Province, in the absence of an apex predator has been shown to negatively impact the ecosystem through overgrazing, which, over time, can also degrade the soil's ability to sequester atmospheric carbon ...
Kozma Naka, Michael Kennedy, Yongbo Wu
wiley +1 more source
Eestis pesitsevate sookurgede (Grus grus) rändemustrid
, 2017 The Common Crane (Grus grus) has a large distribution area in Eurasia. It is a migratory bird species and its location depends on the season. In Estonia the Common Crane is quite frequent but has a low numbered population and is under protection. 8% of Common Cranes’ European population breeds in Estonia and another 10% stops here during migration. The
openaire +1 more source
Встречи стерха grus leucogeranus и серых журавлей grus grus на юге Сибири
Русский орнитологический журнал, 2015 Второе издание. Первая публикация: Миловидов C.П., Нехорошев О.Г. 2011. Встречи стерха и серых журавлей на юге Сибири // Информ. бюл. рабочей группы по журавлям Евразии 11: 47.
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Computational and Systems Oncology, Volume 6, Issue 1, December 2026.ABSTRACT Breast cancer is still a serious problem in the world arena, where its early and prompt detection is the most important factor in improving patient prognosis and survival. The use of traditional diagnostic techniques, such as imaging (e.g., mammography and ultrasound) and subsequent histopathological examination, is the mainstay, which ...
Likhon Chandra Sarkar +6 more
wiley +1 more source
Simulations on a common crane (Grus grus) population model
, 2012 Citación completa: Alonso JA, Alonso JC, Martinez S, Bautista LM. 1991. Simulations on a common crane (Grus grus) population model. Proceedings of the IV International Crane Workshop in 1987 at Qiqihar, China. Pages: 277-283.
Alonso López, Javier A. +3 more
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Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare +3 more
wiley +1 more source
Intraday Functional PCA Forecasting of Cryptocurrency Returns
Journal of Forecasting, Volume 45, Issue 5, Page 2186-2212, August 2026.ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley +1 more source
Speech and Language Markers of Bipolar Disorder: Challenges and Opportunities
Bipolar Disorders, Volume 28, Issue 5, August 2026.ABSTRACT Background Clinicians aspire to predict the emergence of Bipolar Disorder (BD) in a timely manner. To accomplish this, markers reflecting mental states that can be gathered non‐invasively and at large scale are needed. Here, we systematically evaluate evidence relating speech‐based markers to mood states in BD.
Farida Zaher +4 more
wiley +1 more source