A survey on technologies and security protocols: Reference for future generation IoT
R Yugha, S Chithra - Journal of Network and Computer Applications, 2020 - Elsevier
Abstract Internet of Things (IoT) is the recent and growing which is inevitable in day-to-day
activities in current life. IoT is the network of systems which interconnect various real world …
activities in current life. IoT is the network of systems which interconnect various real world …
Consolidated modeling and prediction of heat transfer coefficients for saturated flow boiling in mini/micro-channels using machine learning methods
A Bard, Y Qiu, CR Kharangate, R French - Applied Thermal Engineering, 2022 - Elsevier
Flow boiling has become a reliable mode of compensating with larger power densities and
greater functions of devices because it is able to utilize both the latent and sensible heat …
greater functions of devices because it is able to utilize both the latent and sensible heat …
Identification of smartwatch-collected lifelog variables affecting body mass index in middle-aged people using regression machine learning algorithms and SHapley …
J Kim, J Lee, M Park - Applied Sciences, 2022 - mdpi.com
Body mass index (BMI) plays a vital role in determining the health of middle-aged people,
and a high BMI is associated with various chronic diseases. This study aims to identify …
and a high BMI is associated with various chronic diseases. This study aims to identify …
Proactive maintenance of small wind turbines using IoT and machine learning models
Y Selvaraj, C Selvaraj - International Journal of Green Energy, 2022 - Taylor & Francis
Wind is one of the most important natural resources from which we can generate power
through wind turbines, Presently the wind turbines may be small or large but the output …
through wind turbines, Presently the wind turbines may be small or large but the output …
Investigating spatial correlations between land use and pedestrian injury severity in crashes occurring away from intersections in Northwest Florida
M Koloushani, A Karaer… - Transportation …, 2022 - journals.sagepub.com
Roadway crashes are an increasing concern worldwide, and pedestrians are among the
most vulnerable road users because of several special characteristics, including their …
most vulnerable road users because of several special characteristics, including their …
3FS-CBR-IRF: improving case retrieval for case-based reasoning with three feature selection and improved random forest
I Tarchoune, A Djebbar, HFD Merouani… - Multimedia Tools and …, 2024 - Springer
Case-based reasoning (CBR) is widely used in medical decision support systems because
of its similarity to human reasoning. Despite the effectiveness of the latter, its performance …
of its similarity to human reasoning. Despite the effectiveness of the latter, its performance …
Older Adults' concerns regarding Hurricane-Induced evacuations during COVID-19: Questionnaire findings
The COVID-19 pandemic has drastically affected our day-to-day life in the last few years.
This problem becomes even more challenging when older adults are considered due to …
This problem becomes even more challenging when older adults are considered due to …
Optimal feature subset deduction based on possibilistic feature quality classification and feature complementarity
M Medhioub, SA Bouhamed, IK Kallel, N Derbel… - Expert Systems with …, 2024 - Elsevier
Data quality estimation has become an important research axis in applications when
defining useful information is required. Determining useful information is an essential task in …
defining useful information is required. Determining useful information is an essential task in …
SQL injection vulnerability detection using deep learning: a feature-based approach
SQL injection (SQLi), a well-known exploitation technique, is a serious risk factor for
database-driven web applications that are used to manage the core business functions of …
database-driven web applications that are used to manage the core business functions of …
An optimal higher order likelihood distribution based approach for strong edge and high contrast restoration
The existing studies are generally focused on the pixel intensity or noise variance, and not
much attention is given to describe the actual distribution. Some modifications have been …
much attention is given to describe the actual distribution. Some modifications have been …