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[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 …
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 …
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 …
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 …
Machine Learning Approach on Time Series for PV‐Solar Energy
Solar energy is the kind of alternative energy that a photovoltaic (PV) system may generate.
The PV system depends on the environmental conditions present at the moment, such as …
The PV system depends on the environmental conditions present at the moment, such as …
[PDF][PDF] Machine learning techniques for hourly global horizontal irradiance prediction: A case study for smart cities of India
The availability of solar irradiance is uncertain and time-dependent, which is influenced by
several climatic factors. Therefore accurate solar irradiance prediction is required for …
several climatic factors. Therefore accurate solar irradiance prediction is required for …
Deep Learning and Multi‐Horizontal Solar Energy Forecasting of Different Weather Conditions in Smart Cities
PK Sharma, MVK Kumar, MW Ahmad… - … Smart Homes and …, 2025 - Wiley Online Library
Variations in the power system's total voltage and regularity are directly caused by increased
renewable energy pumped into the power grid. Therefore, it is critical to have accurate …
renewable energy pumped into the power grid. Therefore, it is critical to have accurate …
A Radial Basis Function Neural Network Algorithm for the Simultaneous Retrieval of Two Meteorological Parameters from Solar Radiation
NW Nzala, N Ssebiyonga, D Muyimbwa… - Tanzania Journal of …, 2023 - ajol.info
Local meteorological parameters are key in understanding the frequency of occurrence of
extreme weather conditions such as floods, and droughts, among others. In this study, we …
extreme weather conditions such as floods, and droughts, among others. In this study, we …