Revolutionizing future connectivity: A contemporary survey on AI-empowered satellite-based non-terrestrial networks in 6G
Non-Terrestrial Networks (NTN) are expected to be a critical component of 6th Generation
(6G) networks, providing ubiquitous, continuous, and scalable services. Satellites emerge as …
(6G) networks, providing ubiquitous, continuous, and scalable services. Satellites emerge as …
[HTML][HTML] A survey on the role of industrial IOT in manufacturing for implementation of smart industry
The Internet of Things (IoT) is an innovative technology that presents effective and attractive
solutions to revolutionize various domains. Numerous solutions based on the IoT have been …
solutions to revolutionize various domains. Numerous solutions based on the IoT have been …
A performance overview of machine learning-based defense strategies for advanced persistent threats in industrial control systems
Cybersecurity incident response is a very crucial part of the cybersecurity management
system. Adversaries emerge and evolve with new cybersecurity tactics, techniques, and …
system. Adversaries emerge and evolve with new cybersecurity tactics, techniques, and …
[HTML][HTML] Security-Informed safety analysis of autonomous transport systems considering ai-powered cyberattacks and protection
The entropy-oriented approach called security-or cybersecurity-informed safety (SIS or
CSIS, respectively) is discussed and developed in order to analyse and evaluate the safety …
CSIS, respectively) is discussed and developed in order to analyse and evaluate the safety …
[HTML][HTML] Combining CNN features with voting classifiers for optimizing performance of brain tumor classification
Simple Summary This study presents a hybrid model for brain tumor detection. Contrary to
manual featur extraction, features extracted from a convolutional neural network are used to …
manual featur extraction, features extracted from a convolutional neural network are used to …
[HTML][HTML] Deep learning based hybrid intrusion detection systems to protect satellite networks
Despite the fact that satellite-terrestrial systems have advantages such as high throughput,
low latency, and low energy consumption, as well as low exposure to physical threats and …
low latency, and low energy consumption, as well as low exposure to physical threats and …
[HTML][HTML] Improving prediction of cervical cancer using knn imputed smote features and multi-model ensemble learning approach
H Karamti, R Alharthi, AA Anizi, RM Alhebshi… - Cancers, 2023 - mdpi.com
Simple Summary This paper presents a cervical cancer detection approach where the KNN
Imputer techniques is used to fill the missing values and after that SMOTE upsampled …
Imputer techniques is used to fill the missing values and after that SMOTE upsampled …
Cybersecurity analytics in protecting satellite telecommunications networks: a conceptual development of current trends, challenges, and strategic responses
Cybersecurity is a critical concern in satellite telecommunications networks, given their
vulnerability to cyber threats. This abstract presents a conceptual development of current …
vulnerability to cyber threats. This abstract presents a conceptual development of current …
A novel approach for breast cancer detection using optimized ensemble learning framework and XAI
Breast cancer (BC) is a common and highly lethal ailment. It stands as the second leading
contributor to cancer-related deaths in women worldwide. The timely identification of this …
contributor to cancer-related deaths in women worldwide. The timely identification of this …
[HTML][HTML] Enhancing prediction of brain tumor classification using images and numerical data features
Brain tumors, along with other diseases that harm the neurological system, are a significant
contributor to global mortality. Early diagnosis plays a crucial role in effectively treating brain …
contributor to global mortality. Early diagnosis plays a crucial role in effectively treating brain …