[HTML][HTML] Recent advancements in machine learning enabled portable and wearable biosensors
Recent advances in noninvasive portable and wearable biosensors have attracted
significant attention due to their capability to offer continual physiological information for …
significant attention due to their capability to offer continual physiological information for …
Nanofillers tailored polymers and enhanced synergistic properties for engineering applications: A review
Polymers tailored with different nanofillers are potentially used to fill the gaps of
conventional materials for various engineering applications. This can be done because of …
conventional materials for various engineering applications. This can be done because of …
Machine learning enabled onsite electrochemical detection of lidocaine using a microneedle array integrated screen printed electrode
Despite several advantageous uses of lidocaine patches to overcome discomfort and pain in
various clinical settings, overdosage of this drug can cause unwanted side effects on the …
various clinical settings, overdosage of this drug can cause unwanted side effects on the …
Machine learning enabled microneedle-based colorimetric pH sensing patch for wound health monitoring and meat spoilage detection
Since pH can alter the biological functions, level of nutrients, wound healing process, and
the behavior of chemicals, various healthcare and food industries are showing increased …
the behavior of chemicals, various healthcare and food industries are showing increased …
Minimally invasive detection of buprenorphine using a carbon-coated 3D-printed microneedle array
A machine learning-assisted 3D-printed conducting microneedle-based electrochemical
sensing platform was developed for wireless, efficient, economical, and selective …
sensing platform was developed for wireless, efficient, economical, and selective …
Torrefaction severity influence on the nutrient composition of biomass
Soil amendment has recently been addressed as one of the promising applications of
torrefied biomass, where the distribution of nutrients is a significant parameter of interest …
torrefied biomass, where the distribution of nutrients is a significant parameter of interest …
Prediction and optimisation of gasoline quality in petroleum refining: The use of machine learning model as a surrogate in optimisation framework
Hardware‐based sensing frameworks such as cooperative fuel research engines are
conventionally used to monitor research octane number (RON) in the petroleum refining …
conventionally used to monitor research octane number (RON) in the petroleum refining …
[PDF][PDF] Predictive modelling of students' university english language performance by classification with gaussian process models
H Fan - Journal of Combinatorial Mathematics and …, 2024 - combinatorialpress.com
This work suggests predicting student performance using a Gaussian process model
classification in order to address the issue that the prediction approach is too complex and …
classification in order to address the issue that the prediction approach is too complex and …
[HTML][HTML] Energy Optimization of Sugarcane Bagasse by Oxidative Torrefaction: A Multiple Linear Regression Method.
DA Racero-Galaraga, SJ Sofan-German… - International Journal …, 2024 - ijtech.eng.ui.ac.id
Biomass is widely recognized as a promising substitute for fossil fuels due to zero CO 2
emissions, global availability, storage capacity, and immediate response to demand …
emissions, global availability, storage capacity, and immediate response to demand …
[PDF][PDF] International Journal of Technology
DA Racero-Galaraga, SJ Sofan-German… - researchgate.net
Biomass is widely recognized as a promising substitute for fossil fuels due to zero CO2
emissions, global availability, storage capacity, and immediate response to demand …
emissions, global availability, storage capacity, and immediate response to demand …