Results 161 to 170 of about 1,043 (255)

Assessment of Lasso and Ridge models for soil swelling potential prediction. [PDF]

Sci Rep
Bility MT, Vora T, Lakhani PN, Bhogayata AC, Bhagat SK.   +4 more
europepmc   +1 more source

Carbon‐Negative Upcycling of Sewage Sludge into Superiorly Stable Gel Via Liquid‐Phase Utilization Strategy for Water‐Remediation

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This work developed a low‐temperature sludge hydrothermal coupled with gel crosslinking strategy which could upgrade the waste liquid generated from sewage sludge hydrothermal treatment into the hydrothermal‐liquid‐gel. The inventive hydrothermal‐liquid‐gel exhibited the enhanced pollutant removal capability, high synthetic stability, and superior ...
Zifan Liu, Sunxinyi Wang, Lingxiao Lu, Weiguo Zhang, Qiang Zheng, Cailiang Yue, Huimin Chang, Xiaohui Lu, Ming Xu, Zhi Qian, Qing Zhou, Fuqiang Liu, Baoshan Xing   +12 more
wiley   +1 more source

Comparing statistical 'phenomic prediction' models for remote-sensing-based phenotyping of maize susceptibility to common rust. [PDF]

Plant Phenomics
Martini JWR, Montesinos-Lopez OA, Crossa J, Ortiz R.   +3 more
europepmc   +1 more source

Regression in tensor product spaces by the method of sieves. [PDF]

Electron J Stat, 2023
Zhang T, Simon N.
europepmc   +1 more source

Surface Consistent Seismic Hazard Assessment in the Shillong Plateau, Northeast India: A Probabilistic Approach Using Multiple Source Models and a Logic Tree Framework

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT We perform probabilistic seismic hazard analysis (PSHA) in the Shillong Plateau by clubbing the up‐to‐date earthquake data and seismotectonic properties of the study area. Twenty‐one areal seismic sources are delineated based on the updated earthquake catalog, tectonic, and fault plane solutions.
Mohd Shahabuddin, William Kumar Mohanty, Eleftheria Papadimitriou   +2 more
wiley   +1 more source

Robust estimation methods for addressing multicollinearity and outliers in beta regression models. [PDF]

Sci Rep
Olaluwoye OT, Lukman AF, Alrasheedi MA, Nzomo WN, Farghali RA.   +4 more
europepmc   +1 more source

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

Energy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

New insights into multicollinearity in the Cox proportional hazard models: the Kibria-Lukman estimator and its application. [PDF]

J Appl Stat
Seifollahi S, Algamal ZY, Arashi M.
europepmc   +1 more source

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

Energy Science &Engineering, EarlyView.
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley   +1 more source

Accelerating photonic gas sensor design: machine learning-driven inverse optimization of silicon photonics Bragg gratings. [PDF]

Sci Rep
Khafagy M, Khafagy M, Swillam MA.
europepmc   +1 more source