Advanced machine learning models for predicting unconfined compressive strength from point load strength index of rock samples from Chennai and Bangalore [PDF]
Scientific ReportsThis study explores the effectiveness of point load tests (PLI), specifically both diametral (PLId) and axial tests (PLIa), in forecasting various rock types’ Unconfined Compressive Strength (UCS).
Sowmya Kochukrishnan +3 more
doaj +2 more sources
Source Apportionment of Heavy Metals in Stream Sediments from the Hilly Western Wanda Mountains Based on PCA-APCS-MLR [PDF]
ToxicsThe hilly terrain at the western foot of the Wanda Mountains boasts intricate geological conditions, compounded by long-term mineral extraction and farming activities.
Xiangjin Yan +5 more
doaj +2 more sources
Predicting the uniaxial compressive strength and elasticity modulus of sandstones from physical and mechanical properties using statistical analyses and artificial intelligence-based techniques. [PDF]
PLoS ONEThis study develops predictive models for the uniaxial compressive strength (UCS) and elasticity modulus (E) of sandstones by integrating statistical analyses with artificial intelligence (AI) techniques.
Davood Fereidooni, Matloob Hejazifar
doaj +2 more sources
Analysis of heavy metal contamination in topsoils across land use types within the Manghe River watershed in South Taihang and its source attribution. [PDF]
PLoS ONETo investigate the characteristics of soil heavy metal pollution in the Manghe River watershed, a typical industrial and mining complex area in the Yellow River Basin, concentrations of Hg, Cr, Cu, Ni, Pb, Zn, Cd, and pH were measured in 121 topsoil ...
Xiaoqiang Wan +5 more
doaj +2 more sources
Heavy Metal Pollution in River Sediments: Risk Assessment, Source Apportionment, and Remediation—A Review Focusing on Chinese River Basins [PDF]
ToxicsRiver sediments act not only as important sinks for heavy metal pollution in watersheds, but also as potential secondary sources under changing environmental conditions.
Yuheng Tan +7 more
doaj +2 more sources
A novel fixed-point leaky sign regressor algorithm based adaptive noise canceller for PLI cancellation in ECG signals [PDF]
, 2022 In this paper, a novel fixed-point Leaky Sign Regressor Algorithm (LSRA) based adaptive noise canceller has been employed for the cancellation of 60 Hz Power Line Interference (PLI) from the ElectroCardioGram (ECG) signal.
Kale, Izzet, Faiz, Mohammed Mujahid Ulla
core +1 more source
Moving load on elastic structures: Passage through the wave speed barriers [PDF]
, 2010 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The asymptotic behaviour of an elastically supported infinite string and an elastic isotropic half plane (in frames of specific asymptotic model) under a ...
Voloshin, Vitaly
core +7 more sources
Pollution grading standards based on the pollution load index (PLI) [23].
, 2022 Pollution grading standards based on the pollution load index (PLI) [23].
Jiemei Lv (12066216) +4 more
core +1 more source
Reliability and evaluation of point load index values obtained from different testing devices [PDF]
, 2020 In some rock mass classification methods, the point load index (PLI) value is used as a parameter in the determination of the class of rock mass. The PLI value may be used as a design parameter such as uniaxial compressive strength (UCS) and tensile ...
Altindag, R., Akbay, D.
core +1 more source
Reproducibility of functional connectivity and graph measures based on the Phase Lag Index (PLI) and weighted Phase Lag Index (wPLI) derived from high resolution EEG [PDF]
, 2014 Functional connectivity (FC) and graph measures provide powerful means to analyze complex networks. The current study determines the inter-subject-variability using the coefficient of variation (CoV) and long-term test-retest-reliability (TRT) using the ...
Florian Hatz +23 more
core +1 more source