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 …
The monarch butterfly optimization algorithm for solving feature selection problems
M Alweshah, SA Khalaileh, BB Gupta… - Neural Computing and …, 2022 - Springer
Feature selection (FS) is considered to be a hard optimization problem in data mining and
some artificial intelligence fields. It is a process where rather than studying all of the features …
some artificial intelligence fields. It is a process where rather than studying all of the features …
An efficient malware detection approach with feature weighting based on Harris Hawks optimization
This paper introduces and tests a novel machine learning approach to detect Android
malware. The proposed approach is composed of Support Vector Machine (SVM) classifier …
malware. The proposed approach is composed of Support Vector Machine (SVM) classifier …
GCAM: lightweight image inpainting via group convolution and attention mechanism
Y Chen, R Xia, K Yang, K Zou - International Journal of Machine Learning …, 2024 - Springer
Recently, image inpainting techniques tend to be more concerned with how to enhance the
quality of restoration than with how to function on various platforms with limited processing …
quality of restoration than with how to function on various platforms with limited processing …
OESV-KRF: Optimal ensemble support vector kernel random forest based early detection and classification of skin diseases
The most widespread disease that often puts the patient's life in danger is skin disease.
Avoiding this situation, it necessitates the development of efficient and reliable skin cancer …
Avoiding this situation, it necessitates the development of efficient and reliable skin cancer …
Analysis of machine learning classifiers for early detection of DDoS attacks on IoT devices
Distributed denial-of-service attacks are still difficult to handle as per current scenarios. The
attack aim is a menace to network security and exhausting the target networks with …
attack aim is a menace to network security and exhausting the target networks with …
[HTML][HTML] Comparison of multiclass classification techniques using dry bean dataset
Background The application of classsification methods through multivariate and machine
learning techniques has enormous significance in agricultural sector. It is vital to classify …
learning techniques has enormous significance in agricultural sector. It is vital to classify …
[HTML][HTML] COVID-19 detection and classification for machine learning methods using human genomic data
MT Ahemad, MA Hameed, R Vankdothu - Measurement: Sensors, 2022 - Elsevier
Coronavirus is a disease connected to coronavirus. World Health Organization has declared
COVID-19 a pandemic. It has an impact on 212 nations and territories worldwide. Examining …
COVID-19 a pandemic. It has an impact on 212 nations and territories worldwide. Examining …
Optimal multiple key‐based homomorphic encryption with deep neural networks to secure medical data transmission and diagnosis
Medical database classification problems can be considered as complex optimization
problems to assure the diagnosis support precisely. In healthcare, several computer …
problems to assure the diagnosis support precisely. In healthcare, several computer …
Detection of fake job postings by utilizing machine learning and natural language processing approaches
The modern era is about everything that can be handled virtually in human life, such as
online banking, education, security, job, etc. This increase in technology use also makes it …
online banking, education, security, job, etc. This increase in technology use also makes it …