Machine learning algorithms in WSNs and its applications
AR Raut, SP Khandait - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Wireless sensor network (WSN) the unique and utmost encouraging tools for monitoring the
real-time applications. It has been utilized in various areas particularly for offering real-time …
real-time applications. It has been utilized in various areas particularly for offering real-time …
A machine learning model for spam reviews and spammer community detection
KP Rangar, A Khan - 2022 IEEE World Conference on Applied …, 2022 - ieeexplore.ieee.org
People's choices to purchase a product are influenced by its internet ratings and
recommendations. Spammers manipulate product sales by creating fraudulent ratings on …
recommendations. Spammers manipulate product sales by creating fraudulent ratings on …
Real Time Face Mask Detection by using CNN
A Chachere, S Dongre - 2022 7th International Conference on …, 2022 - ieeexplore.ieee.org
The ongoing Covid-19 (coronavirus) outbreak is worsening the worldwide health crisis,
impacting our daily lives. Wearing a face mask is the most basic form of prevention against …
impacting our daily lives. Wearing a face mask is the most basic form of prevention against …
Oral cancer detection using deep learning approach
RK Yadav, P Ujjainkar, R Moriwal - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Oral cancer is a prevalent malignancy that is challenging and has a high severity level. In
India, oral cancer is the eighth most prevalent cancer in the world, claiming 130,000 lives …
India, oral cancer is the eighth most prevalent cancer in the world, claiming 130,000 lives …
A computational approach to identify normal and abnormal persons gait using various machine learning and deep learning classifier
Walking based human identification is a looming method. Maximum biometric structure
needs more high resolution and a variety of sensors. Walking base human recognition can …
needs more high resolution and a variety of sensors. Walking base human recognition can …
Optimal sensor network routing with secure network monitoring using deep learning architectures
S Qamar - Neural Computing and Applications, 2023 - Springer
Wireless sensor network (WSN) comprises the interconnection of things or objects that are
embedded with both hardware and software. The WSN is a tiny sensor with end device …
embedded with both hardware and software. The WSN is a tiny sensor with end device …
Phishing Website Detection using Machine Learning Techniques
S Mathankar, SR Sharma, T Wankhede… - … on Emerging Trends …, 2023 - ieeexplore.ieee.org
Phishing attempts seek to take advantage of vulnerabilities in human-made systems'
security. Since the majority of cyberattacks are spread through techniques that take …
security. Since the majority of cyberattacks are spread through techniques that take …
Spectral unmixing for end member extraction and abundance estimation
A hyperspectral sensor can provide various hyperspectral images in the same area multiple
times. Endmember reflectance typically varies as a result of environmental change, and this …
times. Endmember reflectance typically varies as a result of environmental change, and this …
Real Estate Prediction System Using ML
A Wandhe, L Sehgal, H Sumra… - … on Emerging Trends …, 2023 - ieeexplore.ieee.org
In recent years, machine learning has played a significant role in many aspects of our lives,
including medical diagnosis, natural speech command, picture detection, product …
including medical diagnosis, natural speech command, picture detection, product …
Cardiac Patient Data Classification Using Ensemble Machine Learning Technique
N Ramteke, P Maidamwar - 2023 14th International …, 2023 - ieeexplore.ieee.org
Heart disease is a major global health problem, and successful treatment and prevention
depend greatly on early and correct diagnosis. Machine learning methods have showed …
depend greatly on early and correct diagnosis. Machine learning methods have showed …