Detection of Skin Cancer: A Deep Learning Approach
Despite recent advances in medical imaging and machine learning, the detection of skin
cancer remains an enormous challenge. Traditional techniques like visual inspection and …
cancer remains an enormous challenge. Traditional techniques like visual inspection and …
Eeg-driven age prediction: Advancements in machine learning models
This research article proposes a novel method for predicting human age using EEG signals
and machine learning (ML) models. EEG signals provide valuable insights into brain activity …
and machine learning (ML) models. EEG signals provide valuable insights into brain activity …
Sensorimotor Activity Patterns using Machine Learning: Assessing the Impact of Auditory Timing Perception and Comparing Different Algorithms
Perception and action are the characteristics of the human condition and define our impact
on the world around us. The brain's ability to effectively sort and incorporate these signals for …
on the world around us. The brain's ability to effectively sort and incorporate these signals for …
An artificial intelligence tool to assess the risk of severe mental distress among college students in terms of demographics, eating habits, lifestyles, and sport habits: an …
L Zhang, S Zhao, Z Yang, H Zheng, M Lei - BMC psychiatry, 2024 - Springer
Background Precisely estimating the probability of mental health challenges among college
students is pivotal for facilitating timely intervention and preventative measures. However, to …
students is pivotal for facilitating timely intervention and preventative measures. However, to …
A Machine Learning Based Investigative Analysis for Predicting the Critical Temperature of Superconductors
INTRODUCTION: Ever since the initial discovery of superconductivity, the fundamental
concept and the complex relationship between critical temperature and superconductive …
concept and the complex relationship between critical temperature and superconductive …
Modeling and Simulation of Sustainable Solar PV: A Ubiquitous Computing Approach
Integrating solar photovoltaic panels with existing structures can emerge as a viable solution
to the current energy crisis and reduction of carbon footprint. The goal of this research is to …
to the current energy crisis and reduction of carbon footprint. The goal of this research is to …
Implementation of Bio-inspired Algorithms in Designing Optimized PID controller for Cuk Converter for Enhanced Performance: A Software based Approach
RK Shagor, F Faisal, MM Nishat… - … Transactions on AI …, 2023 - publications.eai.eu
This paper represents the idea of implementing bio-inspired algorithms in designing an
optimized PID controller to investigate the stability and improve the performance of the …
optimized PID controller to investigate the stability and improve the performance of the …
Investigation and Modeling of Solar PV: A Simulation Method
MM Nishat, F Faisal - 2024 21st International Conference on …, 2024 - ieeexplore.ieee.org
Combining solar photovoltaic panels with pre-existing buildings may be a workable way to
reduce carbon emissions and address the present energy issue. The purpose of this project …
reduce carbon emissions and address the present energy issue. The purpose of this project …
[PDF][PDF] Predicting the stress level of students using Supervised Machine Learning and Artificial Neural Network (ANN)
A Suraj Arya, NA Ramli - Indian Journal of Engineering, 2024 - researchgate.net
Nowadays, the concept of stress is universally acknowledged. Many of us face situations
that contribute to daily hassles, affecting professionals such as teachers, doctors, lawyers …
that contribute to daily hassles, affecting professionals such as teachers, doctors, lawyers …
Impact of Covid-19 on Bangladeshi university students mental health: ML and DL analysis
The Covid-19 outbreak has adversely influenced university students across the world both
physically and psychologically. The psychological struggle faced by students, is effected by …
physically and psychologically. The psychological struggle faced by students, is effected by …