Search
Search Results
-
Evolution of the Internet Topology and Traffic Dynamics of Data Packets
In recent years, the Internet has become one of the most influential media in our daily life, going beyond in its role as the basic infrastructure in... -
Synchronization in Complex Networks
The study of complex systems pervades all of science, from cell biology to ecology, from computer science to meteorology. A paradigm of a complex... -
Data Traffic, Topology and Congestion
We consider the interaction between the topology of a network and the tra.c carried along its channels. The binding elements between the topology and... -
Nonlinear Instabilities in TCP-RED
With the growing size and popularity of the Internet, congestion control has emerged as an important problem. Poor management of congestion can... -
On Dynamics of Transport Protocols Over Wide-Area Internet Connections
The Transport Control Protocol (TCP) is widely deployed over the Internet for reliably transporting data [27], and it accounts for a significant... -
Modeling TCP/RED: a Dynamical Approach
Today’s Internet applications, such as World Wide Web, file transfer, Usenet news, and remote login, are delivered via Transmission Control Protocol... -
Dynamics of Congestion Control
One reason for the success of TCP and its widespread usage in the Internet is its ability to control network congestion. A TCP source uses implicit... -
Statistical Properties of Chaos in Communication Networks
The behavior of communication networks, like the Internet is complex in many ways. This complexity may have many origins, including the topology of... -
Dynamic Complexity in the Internet Traffic
The Internet is one of the most enormous autonomously distributed network systems created by human being. There is no central control in the Internet... -
Macroscopic Dynamics in Large-Scale Data Networks
Modern society grows increasingly reliant on the Internet, a network of global reach that supports many services and clients. However, in such a... -
Chaos-Based Generation of Arti.cial Self-Similar Traffic
The exploitation of the unique features of chaotic dynamics for performance improvement recently became a widely followed path in several field of... -
Dynamical Properties of Externally Driven TCP traffic
One of the most influential achievements of the last sanctuary was the emergence of a decentralized, highly heterogenous, global communication... -
Modelling the Complex Internet Topology
Internet is one of the most impressive creatures of our civilization; it has literally changed the ways we do business, communication, education,... -
Nonlinear Dynamics of TCP and its Implications to Network Performance
TCP flows continuously intertwine in the Internet competing with each other for service capacity and buffer space in bottleneck routers. The window... -
A method for recognizing facial expression intensity based on facial muscle variations
Expression intensity recognition is a research problem in the field of computer vision and pattern recognition, which can be understood as the...
-
Cyber intrusion detection using dual interactive Wasserstein generative adversarial network with war strategy optimization in wireless sensor networks
Wireless sensor network (WSN) is one of the essential components of a multi-hop cyber-physical system comprising many fixed or moving sensors. There...
-
Dual strategy for single image denoising and generation using deep neural network
Removing noise in the real-world scenario has been a daunting task in the field of natural language processing. Research has shown that Deep Neural...
-
UDCT: lung Cancer detection and classification using U-net and DARTS for medical CT images
Lung cancer is the most fatal disease in recent times. Early detection of the same is very crucial and challenging task. Therefore, proper diagnostic...
-
Multitask EfficientNet affective computing for student engagement detection
In the realm of education, feedback emerges as a pivotal component, serving to foster engagement and interaction while also facilitating the...
-
A systematic review of factors, data sources, and prediction techniques for earlier prediction of traffic collision using AI and machine Learning
The prevalence of road traffic collisions is a pressing issue both worldwide and within the United States. The consequences of these incidents are...