Results 161 to 170 of about 20,128 (303)

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

Tutor-postgraduate interaction and dropout intention among Chinese medical postgraduates: multiple mediating roles of emotional regulatory self-efficacy and burnout. [PDF]

Front Psychol
Jiang X, Tong J, Zhang X, Li H.
europepmc   +1 more source

Capacitor-Free, Low Drop-Out Linear Regulator in a 180 nm CMOS for Hearing Aids [PDF]

, 2016
Jørgensen, Ivan Harald Holger, Larsen, Dennis Øland, Llimos Muntal, Pere, Yosef-Hay, Yoni   +3 more
core   +2 more sources

Predicting Parameters Affecting Building Energy Consumption Using Machine Learning Models

Energy Science &Engineering, EarlyView.
This framework integrates long‐term weather forecasting with building energy simulation to predict energy demand. The CNN–LSTM model achieved the highest accuracy (R2 ≈ 0.95), supporting smart HVAC control with ~ 15% energy savings. ABSTRACT The rapid growth of population and the construction industry have led to an increase in energy demand and an ...
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Regulatory mechanism for host-cell contact-dependent T3SS gene expression in <i>Vibrio parahaemolyticus</i>. [PDF]

mSystems
Tandhavanant S, Terashima H, Hiyoshi H, Anggramukti DS, Precha N, Iida T, Matsuda S, Chantratita N, Kodama T.   +8 more
europepmc   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

From bulk RNA sequencing to spatial transcriptomics: a comparative review of differential gene expression analysis methods. [PDF]

Hum Genomics
Kalantari-Dehaghi M, Ghohabi-Esfahani N, Emadi-Baygi M.   +2 more
europepmc   +1 more source

Mediation–Moderation Analysis of Senior High School Student Satisfaction, Academic Engagement, Gender, and Its Relationship With Learning Styles and Academic Performance

Future in Educational Research, EarlyView.
ABSTRACT A complex interplay of cognitive, emotional and contextual factors shapes student learning and academic success. This study examined the relationships among learning styles, student satisfaction, academic engagement, gender, and academic performance of senior high school students in the La Dade‐Kotopon Municipality of Ghana.
Francis Britwum, Henry Yaw Acheampong, Samuel Obed Amoah, Edwin Adjei, Sandra Aidoo, Enoch Osei Agyemang   +5 more
wiley   +1 more source

Deubiquitinase MoAMSH inhibits autophagy by targeting MoAtg6 in Magnaporthe oryzae. [PDF]

Cell Commun Signal
Liao J, Shen ZF, Wang JY, He MF, Lv HM, Zhao J, Zhang YR, Zhu XM, Li L, Wang ZH, Khan IA, Lu JP, Liu XH, Lin FC.   +13 more
europepmc   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source