IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification
At present times, the drastic advancements in the 5G cellular and internet of things (IoT)
technologies find useful in different applications of the healthcare sector. At the same time …
technologies find useful in different applications of the healthcare sector. At the same time …
Software reliability prediction and optimization using machine learning algorithms: A review
Software reliability is an important part while evaluating software quality. Many challenges
are faced while developing highly reliable software such as its usability, performance …
are faced while developing highly reliable software such as its usability, performance …
[HTML][HTML] Understanding global aggregation and optimization of federated learning
We investigate the hypothesis that exploring Federated Learning (FL) aggregation methods
can enhance training processes within FL frameworks, particularly in resource-constrained …
can enhance training processes within FL frameworks, particularly in resource-constrained …
ECA: An edge computing architecture for privacy-preserving in IoT-based smart city
M Gheisari, QV Pham, M Alazab, X Zhang… - IEEE …, 2019 - ieeexplore.ieee.org
Recently, IoT has greatly influenced our daily lives through various applications. One of the
most promising application is smart city that leverages IoT devices to manage cities without …
most promising application is smart city that leverages IoT devices to manage cities without …
A novel small-scale pedestrian detection method base on residual block group of CenterNet
M Wang, H Ma, S Liu, Z Yang - Computer Standards & Interfaces, 2023 - Elsevier
Pedestrian detection is widely used in intelligent supervision and assisted driving. With the
development of deep learning, the accuracy of pedestrian detection has been greatly …
development of deep learning, the accuracy of pedestrian detection has been greatly …
Classification and prediction of sustainable quality of experience of telecommunication service users using machine learning models
The quality of experience (QoE) of the individual user of telecommunication services is one
of the most important criteria for choosing the service package of mobile providers. To …
of the most important criteria for choosing the service package of mobile providers. To …
A Dynamic approach of eye disease classification using deep learning and machine learning model
R Pahuja, U Sisodia, A Tiwari, S Sharma… - Proceedings of Data …, 2022 - Springer
In today's world, machine learning and deep learning models are applied in the diagnosis of
eye diseases in an automated manner. Cataract, one of the eye diseases, can be especially …
eye diseases in an automated manner. Cataract, one of the eye diseases, can be especially …
Graph sample and aggregate attention network optimized with barnacles mating algorithm based sentiment analysis for online product recommendation
N Pughazendi, PV Rajaraman, MH Mohammed - Applied Soft Computing, 2023 - Elsevier
Big data analytics is important in many businesses that use computing applications like real-
time shopping and e-commerce. Big data is employed for promoting goods and improve …
time shopping and e-commerce. Big data is employed for promoting goods and improve …
Software effort estimation using ensemble of hybrid search-based algorithms based on metaheuristic algorithms
Software effort estimation is an essential task for software organizations to allocate
resources efficiently during the development of software and to negotiate with customers …
resources efficiently during the development of software and to negotiate with customers …
Device-free indoor localization based on sparse coding with nonconvex regularization and adaptive relaxation localization criteria
K Zhang, B Tan, S Ding, Y Li, G Li - International Journal of Machine …, 2023 - Springer
Considering practical device-free localization (DFL), the localization precision is usually
proportional to the sensor density, with an ordinary arrangement. A better localization …
proportional to the sensor density, with an ordinary arrangement. A better localization …