[HTML][HTML] Routing schemes in FANETs: A survey
Flying ad hoc network (FANET) is a self-organizing wireless network that enables
inexpensive, flexible, and easy-to-deploy flying nodes, such as unmanned aerial vehicles …
inexpensive, flexible, and easy-to-deploy flying nodes, such as unmanned aerial vehicles …
Nonlinear neural network based forecasting model for predicting COVID-19 cases
The recent COVID-19 outbreak has severely affected people around the world. There is a
need of an efficient decision making tool to improve awareness about the spread of COVID …
need of an efficient decision making tool to improve awareness about the spread of COVID …
COVID-19 mortality rate prediction for India using statistical neural network models
The primary aim of this study is to investigate suitable Statistical Neural Network (SNN)
models and their hybrid version for COVID-19 mortality prediction in Indian populations and …
models and their hybrid version for COVID-19 mortality prediction in Indian populations and …
A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security
Ensuring the privacy and trustworthiness of smart city—Internet of Things (IoT) networks
have recently remained the central problem. Cyborg intelligence is one of the most popular …
have recently remained the central problem. Cyborg intelligence is one of the most popular …
Guide to Cyber Security in Digital Transformation
DPF Möller - Springer Link, Gewerbestrasse, 2023 - Springer
Digital transformation and cybersecurity is a global phenomenon, capturing the attention in
every industry and spurring major investment. However, digital transformation and …
every industry and spurring major investment. However, digital transformation and …
Machine learning and deep learning
DPF Möller - Guide to Cybersecurity in Digital Transformation …, 2023 - Springer
Abstract Machine Learning is a sub-category of Artificial Intelligence enabling computers
with the ability of pattern recognition, or to continuously learn from, making predictions …
with the ability of pattern recognition, or to continuously learn from, making predictions …
Machine learning methods application for consumer banking
Machine learning (ML) methods are effective tools for analysis of many actual problems in
modern banking. Increasing growth of data and rapid digitalization underpin the …
modern banking. Increasing growth of data and rapid digitalization underpin the …
A new RFID Middleware architecture based on a hybrid security technique using data encryption and RBAC for modern real-time tracking applications
Radio Frequency Identification (RFID) is a contactless technology that has developed over
the 90s and 20th centuries. It employs electromagnetic or electrostatic coupling in the radio …
the 90s and 20th centuries. It employs electromagnetic or electrostatic coupling in the radio …
[PDF][PDF] A watermark-based secure model for data security against security attacks for machine learning algorithms
Abstract Machine Learning (ML) has been known as one of the most widely used by the
decision-based application. Most of the security sensitive applications have been using DL …
decision-based application. Most of the security sensitive applications have been using DL …
[PDF][PDF] SiMBA: Systematic Clustering-Based Methodology to Support Built Environment Analysis.
The general interest in sustainable development models has grown enormously over the
last 50 years, and architecture and urban planning are certainly two areas in which research …
last 50 years, and architecture and urban planning are certainly two areas in which research …