Results 101 to 110 of about 276,034 (269)

Investment risk forecasting model using extreme value theory approach combined with machine learning

AIMS Mathematics
Investment risk forecasting is challenging when the stock market is characterized by non-linearity and extremes. Under these conditions, VaR estimation based on the assumption of distribution normality becomes less accurate.
Melina Melina , Sukono , Herlina Napitupulu, Norizan Mohamed   +3 more
doaj   +1 more source

Few-shot RUL prediction for engines based on CNN-GRU model

Scientific Reports
In the realm of prognosticating the remaining useful life (RUL) of pivotal components, such as aircraft engines, a prevalent challenge persists where the available historical life data often proves insufficient.
Shuhan Sun, Jiongqi Wang, Yaqi Xiao, Jian Peng, Xuanying Zhou   +4 more
semanticscholar   +1 more source

Lightweight Hybrid Wafer Defect Pattern Network Based on Feedforward Efficient Attention

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT With the increase of semiconductor integration density, in order to cope with the increase of wafer defect complexity and types, especially the low recognition accuracy of overlapping mixed defects and unknown wafer defects, this study proposes a lightweight model for wafer defect detection called LightWMNet.
Zhiqiang Hu, Yiquan Wu
wiley   +1 more source

UNO: Unified Self‐Supervised Monocular Odometry for Platform‐Agnostic Deployment

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This work presents UNO, a unified monocular visual odometry framework that enables robust and adaptable pose estimation across diverse environments, platforms and motion patterns. Unlike traditional methods that rely on deployment‐specific tuning or predefined motion priors, our approach generalises effectively across a wide range of real ...
Wentao Zhao, Yihe Niu, Yanbo Wang, Tianchen Deng, Shenghai Yuan, Zhenli Wang, Rui Guo, Jingchuan Wang   +7 more
wiley   +1 more source

Multi‐Scale Spatio‐Temporal Transformer Network for Intelligent Healthcare and Transportation Systems: A Generative AI Approach

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Integrating healthcare systems with intelligent transportation networks represents a critical frontier in modern urban infrastructure, where efficient resource allocation and timely service delivery can significantly impact patient outcomes.
Huamao Jiang, Byung‐Gyu Kim, Chien‐Ming Chen, Keqin Li, Jianhui Lv   +4 more
wiley   +1 more source

Improving the forecasting accuracy of monthly runoff time series of the Brahmani River in India using a hybrid deep learning model

Journal of Water and Climate Change
Accurate prediction of monthly runoff is critical for effective water resource management and flood forecasting in river basins. In this study, we developed a hybrid deep learning (DL) model, Fourier transform long short-term memory (FT-LSTM), to improve
Sonali Swagatika, Jagadish Chandra Paul, Bibhuti Bhusan Sahoo, Sushindra Kumar Gupta, P. K. Singh   +4 more
doaj   +1 more source

Addressing environmental misperceptions for nature recovery

Conservation Biology, EarlyView.
Abstract A poorly understood and systemic challenge to global conservation agreements is shifting baseline syndrome (SBS), wherein people misperceive the extent to which nature has changed. This can diminish societal expectations for nature recovery. We broadened the conceptual framing of SBS beyond the more common elements of nature loss to include ...
Shuo Gao, Sophus O. S. E. zu Ermgassen, Joseph W. Bull, E. J. Milner‐Gulland   +3 more
wiley   +1 more source

Grus grus

, 2008
Recopilaci?n de observaciones de la Grulla com?n (Grus grus) realizadas durante varias salidas de campo a diferentes enclaves de Palencia y Valladolid, cerca de la Laguna de la Nava y de Laguna de Duero, respectivamente, entre 1947 y 1952. Se incluyen los datos de dos contenidos estomacales.
openaire   +1 more source

Cross Ownership Versus Merger Under Product Differentiation

Journal of Economics &Management Strategy, EarlyView.
ABSTRACT We compare the merger participants' profits under a merger and under cross ownership (CO) in an oligopolistic industry with horizontally differentiated products. We show under Cournot competition that the merger participants would be better off under a symmetric CO than a merger.
Arijit Mukherjee
wiley   +1 more source

LSTM AND GRU IN RICE PREDICTION FOR FOOD SECURITY IN INDONESIA

Barekeng
Hunger in Indonesia remains a serious challenge, especially in the face of food price instability, particularly rice as the main staple food. In order to achieve SDG 2 “Zero Hunger” by 2030, policies that support price stability and more effective food ...
Triyani Hendrawati, Kennedy Marthendra, Brian Riski Jayama Simanjuntak, Anindya Aprilianti Pravitasari   +3 more
doaj   +1 more source