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Molecular self-assembled chemosensors and their arrays
Supramolecular chemosensor arrays are powerful analytical methods to classify and
quantify analytes using pattern recognition. This Review summarizes approaches based on …
quantify analytes using pattern recognition. This Review summarizes approaches based on …
based optical sensor arrays for simultaneous detection of multi-targets in aqueous media: a review
Sensor arrays, drawing inspiration from mammalian olfactory systems, are a fundamental
concept for high-throughput analysis based on pattern recognition. Although numerous …
concept for high-throughput analysis based on pattern recognition. Although numerous …
Hyperspectral leaf reflectance as proxy for photosynthetic capacities: An ensemble approach based on multiple machine learning algorithms
Global agriculture production is challenged by increasing demands from rising population
and a changing climate, which may be alleviated through development of genetically …
and a changing climate, which may be alleviated through development of genetically …
Augmentation of limited input data using an artificial neural network method to improve the accuracy of water quality modeling in a large lake
The performance of water quality models depends on both data from the external inputs and
the internal processes of a water body. Limited field data can often be the major cause of …
the internal processes of a water body. Limited field data can often be the major cause of …
Prediction of surface roughness and cutting forces using RSM, ANN, and NSGA-II in finish turning of AISI 4140 hardened steel with mixed ceramic tool
This paper aims at modeling surface roughness and cutting force in finish turning of AISI
4140 hardened steel with mixed ceramic tool. For this purpose, an attempt is made to …
4140 hardened steel with mixed ceramic tool. For this purpose, an attempt is made to …
Monitoring of tool wear using measured machining forces and neuro-fuzzy modelling approaches during machining of GFRP composites
AI Azmi - Advances in Engineering Software, 2015 - Elsevier
The challenges of machining, particularly milling, glass fibre-reinforced polymer (GFRP)
composites are their abrasiveness (which lead to excessive tool wear) and susceptible to …
composites are their abrasiveness (which lead to excessive tool wear) and susceptible to …
Mathematical modeling for turning on AISI 420 stainless steel using surface response methodology
In this study, an attempt has been made to statistically model the relationship between
cutting parameters (speed, feed rate and depth of cut), cutting force components (Fx, Fy and …
cutting parameters (speed, feed rate and depth of cut), cutting force components (Fx, Fy and …
Simple colorimetric chemosensor array for oxyanions: quantitative assay for herbicide glyphosate
Although the determination of oxyanions due to correlation with metabolic processes and
diseases is in high demand, most of the developed methods are suffering from a shortage of …
diseases is in high demand, most of the developed methods are suffering from a shortage of …
Artificial neural network and regression models for performance prediction of abrasive waterjet in rock cutting
An experimental study is carried out for modeling the rock cutting performance of abrasive
waterjet. Kerf angle (KA) is considered as a performance criteria and modeled using artificial …
waterjet. Kerf angle (KA) is considered as a performance criteria and modeled using artificial …
Cutting conditions modeling and optimization in hard turning using RSM, ANN and desirability function
Mechanical manufacturing companies are required to produce parts with high quality,
greater accuracy and high productivity to be competitive. For this purpose, the present work …
greater accuracy and high productivity to be competitive. For this purpose, the present work …