A deep analysis of brain tumor detection from mr images using deep learning networks
Creating machines that behave and work in a way similar to humans is the objective of
artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving …
artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving …
Cnn based multiclass brain tumor detection using medical imaging
Brain tumors are the 10th leading reason for the death which is common among the adults
and children. On the basis of texture, region, and shape there exists various types of tumor …
and children. On the basis of texture, region, and shape there exists various types of tumor …
Distributed Deep CNN‐LSTM Model for Intrusion Detection Method in IoT‐Based Vehicles
As 5G and other technologies are widely used in the Internet of Vehicles, intrusion detection
plays an increasingly important role as a vital detection tool for information security …
plays an increasingly important role as a vital detection tool for information security …
[PDF][PDF] Crime tracking system and people's safety in India using machine learning approaches
The era of digitization and computers has already arrived. The enormous coverage of
cyberspace has changed the way of overall major and minor aspects of the life of doing and …
cyberspace has changed the way of overall major and minor aspects of the life of doing and …
A novel machine-learning-based hybrid CNN model for tumor identification in medical image processing
The popularization of electronic clinical medical records makes it possible to use automated
methods to extract high-value information from medical records quickly. As essential medical …
methods to extract high-value information from medical records quickly. As essential medical …
A novel QKD approach to enhance IIOT privacy and computational knacks
The industry-based internet of things (IIoT) describes how IIoT devices enhance and extend
their capabilities for production amenities, security, and efficacy. IIoT establishes an …
their capabilities for production amenities, security, and efficacy. IIoT establishes an …
Self-aware execution environment model (SAE2) for the performance improvement of multicore systems
Multicore systems are known for operating in a dynamic execution environment. Various
conventional approaches/efforts carried out so far towards achieving the dynamism have …
conventional approaches/efforts carried out so far towards achieving the dynamism have …
Machine learning sensors for diagnosis of COVID-19 disease using routine blood values for internet of things application
A Velichko, MT Huyut, M Belyaev, Y Izotov, D Korzun - Sensors, 2022 - mdpi.com
Healthcare digitalization requires effective applications of human sensors, when various
parameters of the human body are instantly monitored in everyday life due to the Internet of …
parameters of the human body are instantly monitored in everyday life due to the Internet of …
Federated learning approach to protect healthcare data over big data scenario
The benefits and drawbacks of various technologies, as well as the scope of their
application, are thoroughly discussed. The use of anonymity technology and differential …
application, are thoroughly discussed. The use of anonymity technology and differential …
Internet of things for sustaining a smart and secure healthcare system
The thyroid is a key endocrine gland in the human body that regulates several bodily
processes, including protein synthesis, energy consumption, and the body's reaction to other …
processes, including protein synthesis, energy consumption, and the body's reaction to other …