Application of Artificial Neural Network and Multiple Linear Regression for Modelling Adsorptive Removal of Pb (II) ions over Cedrus deodara Bark Powder [PDF]
Cedrus deodara is a coniferous tree native to Himalayan region. Its wood is a valuable resource for the timber industry; however, its bark is typically discarded as a waste material.
Anurag Lall, Avinash Pandey, Jyoti Mani
doaj +1 more source
Open channel flow and velocity behaviour presents a dilemma for drainage systems designers where hydrologic parameters are fluctuating in space and time.
Eyad Abushandi
doaj +1 more source
Results of the FA-MLR, SPA-MLR, GA-MLR, PLS and BVS.
Results of the FA-MLR, SPA-MLR, GA-MLR, PLS and BVS.
Alexandre C. B. Delbem (672578) +5 more
core +1 more source
Evaluation of Heat Dissipation Efficiency in Rectangular Heat Sinks with Ceramic Coating across Different Base Materials [PDF]
The design of the heating system is critical in achieving optimal thermal efficiency. Solid Works, a well-known design software, was used to meticulously create heat sink fins in both rectangular and square designs.
Bairi Aditya +5 more
doaj +1 more source
QSAR and Molecular Docking Studies on Non-Imidazole-Based Histamine H3 Receptor Antagonists [PDF]
Background: In the recent years, histamine H3 receptor (H3R) has been receiving increasing attention in pharmacotherapy of neurological disorders.
Maryam Hamzeh-Mivehroud +2 more
doaj +1 more source
Computational time (seconds) for SPA-MLR, GA-MLR, PLS, BVS and FA-MLR.
Computational time (seconds) for SPA-MLR, GA-MLR, PLS, BVS and FA-MLR.
Alexandre C. B. Delbem (672578) +5 more
core +1 more source
Effect of land use on soil enzyme activities at karst area in Nanchuan, Chongqing, Southwest China
The study of soil enzyme activities under different land use is of importance for exploration of the soil quality evolution and its evaluation during the revegetation at karst area in Nanchuan, Chongqing, China.
Q. Li +4 more
doaj +1 more source
Results of the FA-MLR, SPA-MLR, GA-MLR, PLS and BVS, in simulated data.
Results of the FA-MLR, SPA-MLR, GA-MLR, PLS and BVS, in simulated data.
Alexandre C. B. Delbem (672578) +5 more
core +1 more source
Biomass difference map (MLR model 1 – MLR model 2).
Biomass difference map (MLR model 1 – MLR model 2).
Ram Avtar (467792) +2 more
core +1 more source
MLR model result for four volunteers.
MLR model result for four volunteers.
Galina Valova (12160766) +3 more
core +1 more source

