Results 211 to 220 of about 30,985 (264)

Intelligent Control Strategy of a Battery Energy Storage for a Climate‐Controlled Greenhouse with a High Proportion of Local Renewable Energy

IEEJ Transactions on Electrical and Electronic Engineering, Volume 21, Issue 7, Page 1020-1027, July 2026.
Greenhouse cultivation offers the advantage of controlled growth conditions, leading to enhanced crop productivity and quality. However, maintaining these optimal conditions requires substantial energy, resulting in increased greenhouse gas emissions and operational costs. Integrating local renewable energy sources, particularly photovoltaic (PV) solar
Akihiro Funaki, Jorge Solis
wiley   +1 more source

A comprehensive maternal health risk prediction dataset from IoT-enabled medical cyber-physical systems in developing countries: supporting machine learning and deep learning applications for clinical decision support. [PDF]

BMC Med Inform Decis Mak
Hossain MM, Nayan NM, Kashem MA.
europepmc   +1 more source

STELLAR‐CB: Synthetic Temporal LSTM for Livestock Activity Recognition—Cow Behaviour

Veterinary Medicine and Science, Volume 12, Issue 4, July 2026.
This study introduces a novel framework combining LSTM networks with SMOTE to address class imbalance in precision livestock farming. It improves the detection of rare behaviours in livestock, achieving state‐of‐the‐art performance while reducing computational overhead, offering a practical, breed‐agnostic solution for enhancing automated behaviour ...
Ghufran Ahmed, Rauf Ahmed Shams Malick, Ahmad Sami Al‐Shamayleh, Muhammad Adnan Ayub, Usama Antuley, Twaha Ahmed Minai, Muhammad Faisal Khan, Muhammad Faraz Hyder, Muhammad Mubashir Khan, Adnan Akhunzada   +9 more
wiley   +1 more source

Prediction of on-field rugby scrummaging contact forces from videos using artificial neural networks. [PDF]

PLoS One
Cordero-Sánchez J, Sheehy Z, Serrancolí G, Preatoni E, Trewartha G, Cazzola D.   +5 more
europepmc   +1 more source

Unified Attention Recurrent Neural Network for Bias Correction of MJO Prediction

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 7, July 2026.
Abstract In global subseasonal forecasting using dynamical models, correcting the systematic biases of Madden–Julian Oscillation (MJO) predictions has proven critical, particularly due to issues of rapid amplitude damping and phase distortion. To address these biases, recent studies have demonstrated that deep learning offers a promising solution by ...
Yiyi Guo, Vassili Kitsios, Tingru Cui, Liuhua Peng, Feng Liu   +4 more
wiley   +1 more source

A hybrid AI-genetic algorithm framework for the optimization of polymer flooding strategies: a numerical simulation-based approach. [PDF]

Sci Rep
Nourizadeh M, Khosravi R, Simjoo M, Chahardowli M.   +3 more
europepmc   +1 more source

Adjoint propagation of error signal through modular recurrent neural networks for biologically plausible learning. [PDF]

Elife
Liu Z, Shu H, Wang L, Meng X, Wang Y, Li X, Wang W, Chen T.   +7 more
europepmc   +1 more source

Machine Learning‐Based Loan Approval Automation: Enhancing Efficiency, Accuracy and Fairness in Credit Decision‐Making

Expert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT Traditional loan approval processes are manual, time‐consuming and susceptible to human bias. This research develops a machine learning‐based system to automate loan eligibility assessment while enhancing efficiency, accuracy and fairness in credit decision‐making. We developed and compared multiple supervised ML models—including Random Forest,
Mani Ghahremani, Hellen Amimo Otieno, Mishanil Kazreen, Stavros Shiaeles   +3 more
wiley   +1 more source

Synergistic interfacial engineering of mesoporous magnetic metal oxide TiO2 nanocomposites for sustainable visible-light photocatalysis: Experimental insights and ML-based performance prediction. [PDF]

PLoS One
Kazmi SA, Khan MS, Bilal M, Arshad M, Sarwar R, Nfor NE, Javed MF, Tasqeeruddin S, Khan A, Shaikh AJ, Al-Harrasi A, Riaz N.   +11 more
europepmc   +1 more source

Artificial intelligence-enhanced electrocardiography for acute myocardial infarction detection: a systematic review. [PDF]

Cardiovasc Diagn Ther
Lee Y, Ahn JH, Yang HM.
europepmc   +1 more source