Results 141 to 150 of about 90,690 (297)

Swarm-based intelligent models for developing cybersecurity frameworks with IDS. [PDF]

Sci Rep
Kumar NS, Ramakrishna V, Kamal MV, Kumar KS, Reddy VSN, Ramulu PJ.   +5 more
europepmc   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

A wearable monitoring system for running gait analysis by diffusion transformer. [PDF]

PLoS One
Hu X, Wang G, Ma G.
europepmc   +1 more source

A Practical Real‐Time Observer‐Based Radiation Prediction Algorithm for Solar Plants

Energy Science &Engineering, EarlyView.
A novel radiation prediction method is proposed. The model's existence is verified by applying real data to an offline identifier. An adaptive state/parameter estimator is developed to identify the model. The identification process occurs in real‐time, independent of specific situations. The method offers universal radiation prediction.
S. Sepehr Tabatabaei, S. Ayoub Mirtavousi, Mohammadreza Dehghan   +2 more
wiley   +1 more source

E-Journal visitor analysis using particle swarm optimization-long short-term memory (PSO LSTM)

Agung Bella Putra Utama, Aji Prasetya Wibawa, Muladi Muladi, Leonel Hernandez, Haviluddin Haviluddin, Ming Foey Teng   +5 more
openalex   +1 more source

Stock Market Prediction with RNN-LSTM and GA-LSTM

SHS Web of Conferences
The stock price reflects various factors such as the rate of economic growth, inflation, overall economy, trade balance, and monetary system, all of which impact the stock market as a whole. Investors often find the principle of stock price trends unclear because of the many important variables involved.
openaire   +2 more sources

Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study

Energy Science &Engineering, EarlyView.
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Khurram Hashmi, Abbas Javed, Basem Alamri, Krzysztof Ejsmont   +6 more
wiley   +1 more source

Integrating a Convolutional Neural Network and MultiHead Attention with Long Short-Term Memory for Real-Time Control During Drying: A Case Study of Yuba (<i>Tofu Skin</i>). [PDF]

Foods
Guo J, Wu J, Zhang L, Peng Z, Wei L, Li W, Shen J, Liu Y.   +7 more
europepmc   +1 more source

Permutation Feature Importance –Six Features – LSTM Model.

Majed Alzara (20700224), Nadeen Gihad (22403969), Heba Abdou (20700221), Akram Soltan (22403972), AlHussein Hilal (22403975), Ahmed Ehab (21462125)   +5 more
openalex   +1 more source

Economic and Technical Assessment of Wind Potential Using SARIMAX Time Series Models: Wind Speed Forecasting and Analysis

Energy Science &Engineering, EarlyView.
The wind energy potential of Khaf was evaluated for 2025 using 15 years of wind data combined with advanced forecasting models, SARIMAX and Prophet. This integrated framework enables precise estimation of wind power density and optimal turbine selection, paving the way for the efficient and sustainable development of wind farms in the region.
Mohammad Amin Valizadeh, Iman Khorsandi Shamir, Abolfazl Ahmadi, Mojtaba Mirhosseini   +3 more
wiley   +1 more source