Taki Alrwbaye

Advanced materials in nano biosensor: A comprehensive review of design and application

R. Kaur, Vimal Arora, Harbinder Singh, Jasgurpreet Singh Chohan et autres

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Dynamic Channel Selection with Dominating Set Clustering for Cognitive MANET Routing Protocols

Taki Alrwbaye, Rohit Sharma

Using cognitive radio capabilities, Cognitive Mobile Ad Hoc Networks (Cognitive MANETs) enable dynamic spectrum access, allowing secondary users to take advantage of underused licensed channels opportunistically. The unpredictable availability of channels and frequent topology changes present a challenge to routing in such …

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Node Density-Based Routing Algorithms for Mobile Ad Hoc Networks

Taki Alrwbaye, Abdullah J. Alzahrani

Mobile Ad Hoc Networks (MANETs) operate in dynamic environments with frequently changing topologies and have no infrastructure. Various node densities can cause congestion, high delays, and packet loss in traditional routing protocols. In this paper, the BLS-AODV routing protocol is implemented to …

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A Hybrid Model for Cloud Resource Utilization Forecasting Using Machine Learning and Evolutionary Optimization

Taki Alrwbaye

To manage cloud resources efficiently, reduce costs, and improve service delivery in dynamic cloud environments, accurate forecasting is essential. The highly variable and nonlinear nature of cloud workloads often makes traditional prediction models ineffective. In this paper, Recurrent Neural Networks (RNNs) are …

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Secure and Energy-Efficient Load Balancing for Fog Computing in SDN Environments

Taki Alrwbaye

In response to the proliferation of Internet of Things devices and data-intensive applications, low-latency and energy-efficient computing solutions have become increasingly important. Cloud infrastructure is relieved of this burden by fog computing, which processes data at the network edge, thereby reducing the …

iq, in (code pays fourni par la source)

Early Detection of Alzheimer's Disease using Vision Transformer based Convolutional Neural Network

S. Aruna, Rojalina Priyadarshini, Taki Alrwbaye, P. R. Buvaneswari et autres

In recent scenarios, Alzheimer’s Disease (AD) has posed early recognition challenges due to complex and overlapping symptoms by making difficulties in timely care and intervention. The existing models such as Convolutional Neural Networks (CNN) struggled with limited interpretability. In this research, Vision …

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Deep Reinforcement Learning and Distributed Solution for Local Network based Optimization of Network Slicing in 5G Communications

Naziya Hussain, Anoop Singh, Taki Alrwbaye, Yogesh Ramaswamy et autres

Nowadays, the advent of 5G networks has introduced the concept of network slicing to allow the multiple independent networks for coexisting on a shared physical infrastructure. However, the existing Mixed-Integer Linear Programming (MILP) solution suffered inefficient resource utilization which has led to …

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Comprehensive Analysis on Feature Selection and Dimensionality Reduction in Big Data

Suvendu Kumar Jena, Taki Alrwbaye, Piyush Kumar Pareek, M. Nikitha et autres

From the past few years, massive volumes of structured, semi-structured and unstructured data are generated across various domains like healthcare, Internet of Things (IoT), finance and multimedia. Removing or ignoring irrelevant attributes from the data reduces the burden on Machine Learning (ML) …

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