Transfer learning: a friendly introduction
Infinite numbers of real-world applications use Machine Learning (ML) techniques to
develop potentially the best data available for the users. Transfer learning (TL), one of the …
develop potentially the best data available for the users. Transfer learning (TL), one of the …
Artificial intelligence techniques for predictive modeling of vector-borne diseases and its pathogens: a systematic review
Vector-borne diseases (VBDs) have a significant impact on human and animal health. VBD
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …
Remote patient monitoring and classifying using the internet of things platform combined with cloud computing
S Iranpak, A Shahbahrami, H Shakeri - Journal of Big Data, 2021 - Springer
Many researchers have recently considered patients' health and provided an optimal and
appropriate solution. With the advent of technologies such as cloud computing, Internet of …
appropriate solution. With the advent of technologies such as cloud computing, Internet of …
Automatic identification of medically important mosquitoes using embedded learning approach-based image-retrieval system
V Kittichai, M Kaewthamasorn, Y Samung… - Scientific Reports, 2023 - nature.com
Mosquito-borne diseases such as dengue fever and malaria are the top 10 leading causes
of death in low-income countries. Control measure for the mosquito population plays an …
of death in low-income countries. Control measure for the mosquito population plays an …
Review of the algorithms used in exhaled breath analysis for the detection of diabetes
A Paleczek, A Rydosz - Journal of breath research, 2022 - iopscience.iop.org
Currently, intensive work is underway on the development of truly noninvasive medical
diagnostic systems, including respiratory analysers based on the detection of biomarkers of …
diagnostic systems, including respiratory analysers based on the detection of biomarkers of …
[HTML][HTML] In silico exploration of 4 (α-l-rhamnosyloxy)-benzyl isothiocyanate: A promising phytochemical-based drug discovery approach for combating multi-drug …
Multidrug-resistant (MDR) Staphylococcus aureus infections significantly threaten global
health. With rising resistance to current antibiotics and limited solutions, the urgent discovery …
health. With rising resistance to current antibiotics and limited solutions, the urgent discovery …
The forecast of COVID-19 spread risk at the county level
MD Hssayeni, A Chala, R Dev, L Xu, J Shaw, B Furht… - Journal of big …, 2021 - Springer
The early detection of the coronavirus disease 2019 (COVID-19) outbreak is important to
save people's lives and restart the economy quickly and safely. People's social behavior …
save people's lives and restart the economy quickly and safely. People's social behavior …
Enginefaultdb: a novel dataset for automotive engine fault classification and baseline results
This paper introduces EngineFaultDB, a novel dataset capturing the intricacies of
automotive engine diagnostics. Centered around the widely represented C14NE spark …
automotive engine diagnostics. Centered around the widely represented C14NE spark …
Microscopic parasite malaria classification using best feature selection based on generalized normal distribution optimization
Malaria disease can indeed be fatal if not identified and treated promptly. Due to
advancements in the malaria diagnostic process, microscopy techniques are employed for …
advancements in the malaria diagnostic process, microscopy techniques are employed for …
Dlrfnet: deep learning with random forest network for classification and detection of malaria parasite in blood smear
In healthcare, observing the features and areas of malaria in microscopic images is crucial
for the diagnosis and treatment of plasmodium malaria parasites for automated detection …
for the diagnosis and treatment of plasmodium malaria parasites for automated detection …