Combination forecasting of COVID-19 in Bangladesh: guiding public health policy through integrated time series, ML, and DL models. [PDF]
Akther S, Dhar AK, Pingky JS.
europepmc +1 more source
An Overview of Deep Learning Techniques for Big Data IoT Applications
Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur +2 more
wiley +1 more source
RNN-Bi-LSTM spectrum sensing algorithm for NOMA waveform with diverse channel conditions. [PDF]
Kumar A, Nanthaamornphong A, Masud M.
europepmc +1 more source
Forecasting Carbon Prices: A Literature Review
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis +2 more
wiley +1 more source
Encoding of interdependent features of head direction and angular head velocity in navigation. [PDF]
Cai D, Liu T, Liu J.
europepmc +1 more source
Stock Portfolio Management Based on AI Technology
ABSTRACT Forecasting stock performance is crucial for formulating a profitable trading approach aimed at achieving significant gains. In addition, prediction results serve as essential prerequisites for creating and optimizing active investment portfolios.
Alejandro Moreno Alonso +1 more
wiley +1 more source
Predictive and interpretable machine learning for COVID-19 resurgences: the role of SARS-CoV-2 variants in the post-pandemic era. [PDF]
Ferreira RS, Colnago M, Casaca W.
europepmc +1 more source
ABSTRACT Accurate predictions of carbon prices are essential for efficient administration and stable operation of carbon markets. Previous studies have mostly focused on point or interval predictions based on point‐valued data. These approaches insufficiently capture the full extent of market volatility.
Di Sha +4 more
wiley +1 more source
Deep learning optimization of teaching schedules in sports dance education. [PDF]
Zhao G, Gu X, Du X, Yang Z.
europepmc +1 more source
Diverse perceptual biases emerge from Hebbian plasticity in a recurrent neural network model.
Schönsberg F +4 more
europepmc +1 more source

