Deep learning in mining biological data
Recent technological advancements in data acquisition tools allowed life scientists to
acquire multimodal data from different biological application domains. Categorized in three …
acquire multimodal data from different biological application domains. Categorized in three …
iWorksafe: Towards Healthy Workplaces During COVID-19 With an Intelligent Phealth App for Industrial Settings
The recent outbreak of the novel Coronavirus Disease (COVID-19) has given rise to diverse
health issues due to its high transmission rate and limited treatment options. Almost the …
health issues due to its high transmission rate and limited treatment options. Almost the …
Cross-content recommendation between movie and book using machine learning
Machine learning-driven recommendation systems are widely used in today's growing
digital world. Existing movie and book recommender systems work using a collaborative …
digital world. Existing movie and book recommender systems work using a collaborative …
A machine learning pipeline to classify foetal heart rate deceleration with optimal feature set
Deceleration is considered a commonly practised means to assess Foetal Heart Rate (FHR)
through visual inspection and interpretation of patterns in Cardiotocography (CTG). The …
through visual inspection and interpretation of patterns in Cardiotocography (CTG). The …
A fuzzy ensemble-based deep learning model for EEG-based emotion recognition
Emotion recognition from EEG signals is a major field of research in cognitive computing.
The major challenges involved in the task are extracting meaningful features from the …
The major challenges involved in the task are extracting meaningful features from the …
[PDF][PDF] A Fuzzy Logic Controller Based MPPT Technique for Photovoltaic Generation System.
Solar energy is abundant and sustainable energy that photovoltaic (PV) cells can transform
directly into electricity. Several conditions such as temperature and solar irradiance …
directly into electricity. Several conditions such as temperature and solar irradiance …
Simulation of solar panel maximum power point tracking using the fuzzy logic control method
A Mutia, D Abdullah, K Kraugusteeliana… - Majlesi Journal of …, 2023 - mjee.isfahan.iau.ir
The use of solar energy has begun to be developed in PLTS, but the photovoltaic module
electricity produced is not at maximum output power. To increase the efficiency of the …
electricity produced is not at maximum output power. To increase the efficiency of the …
[HTML][HTML] Integration of hybrid PV-wind system for electric vehicle charging: Towards a sustainable future
RT Kumar, CCA Rajan - e-Prime-Advances in Electrical Engineering …, 2023 - Elsevier
This research addresses the pressing need for sustainable energy solutions in the context of
Electric Vehicle (EV) charging. It focuses on the integration of Hybrid Renewable Energy …
Electric Vehicle (EV) charging. It focuses on the integration of Hybrid Renewable Energy …
Design of a novel robust adaptive neural network‐based fractional‐order proportional‐integrated‐derivative controller on DC/DC Boost converter
M Abdollahzadeh, H Mollaee… - The Journal of …, 2023 - Wiley Online Library
DC/DC Boost converter has a right half‐plane zero structure called a non‐minimum phase
system, which presents several challenging constraints for designing well‐behaved control …
system, which presents several challenging constraints for designing well‐behaved control …
An investigative study on the effects of pedagogical agents on intrinsic, extraneous and germane cognitive load: experimental findings with dyscalculia and non …
Several studies have warranted the need to explore the relationship between pedagogical
agents in the learning environment and the cognitive load on the learners, specifically, to …
agents in the learning environment and the cognitive load on the learners, specifically, to …