Results 201 to 210 of about 257,738 (354)

Spatial Variations in Methane Content and Their Main Controlling Factors of the Deep‐Buried Coalbed in the Nalinhe–Hengshan Area, Ordos Basin

Energy Science &Engineering, EarlyView.
Ash yield is the primary geological factor controlling the spatial variations in the total gas content of the deep‐buried coalbed methane in the Nalinhe‐Hengshan area, Ordos Basin. However, porosity dominates the differential enrichment of the free gas content of the deep‐buried coalbed methane in the Nalinhe‐Hengshan area, Ordos Basin.
Shi Yunhe, Wang Kangle, Wang Huaichang, Wang Yufei, Zhang Hui, Cao Jingjing, Yin Liangliang, Hu Xinyou, Liang Chao, Liu Mina   +9 more
wiley   +1 more source

A Quantitative Framework for Evaluating the Performance of Algorithm-Directed Whole-Population Remote Patient Monitoring: Tutorial for Type 1 Diabetes Care. [PDF]

JMIR Diabetes
Kurtzig J, Addala A, Bishop FK, Dupenloup P, Ferstad JO, Johari R, Maahs DM, Prahalad P, Zaharieva DP, Scheinker D.   +9 more
europepmc   +1 more source

A 10-Year Comparison of Water Levels Measured with a Geodetic GPS Receiver versus a Conventional Tide Gauge

, 2017
K. Larson, R. Ray, S. Williams
semanticscholar   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

Energy Science &Engineering, EarlyView.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine, Noureddine El Barbri, Mourad Yessef, Mohammed M. Alammar, Z.M.S. El‐Barbary, Hatim Ameziane   +5 more
wiley   +1 more source

What does matter in tide-rising tide or ebbing tide-in aortic branch design? [PDF]

JVS Vasc Sci
Chakfe N, Lejay A.
europepmc   +1 more source

‘The Rising Tide’ [PDF]

Bulletin of the Royal College of Psychiatrists, 1983
openaire   +1 more source

A Comprehensive Review of AI‐Powered Energy Systems

Energy Science &Engineering, EarlyView.
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo, Pedram Asef, Masoumeh Javadi, Mousa Marzband, Shady S. Refaat, Muhyaddin Rawa   +5 more
wiley   +1 more source

Identification of chondroitin polymerizing factor as a biomarker for predicting immunotherapy response in breast cancer: a bioinformatics analysis of tumor microenvironment. [PDF]

Transl Cancer Res
He Z, Xu Y, Wu C.
europepmc   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Correction: Turning the tide on turnover: The impact of empowering leadership on the work-family spillover of managers. [PDF]

PLoS One
Khan NA, Bahadur W, Maialeh R, Pravdina N, Akhtar M.   +4 more
europepmc   +1 more source