Overview of the network architecture. The proposed network is designed with L stacked loops. Within each loop, the Origin-centric Part Transformer Block and the Spatial Transformer Encoder are arranged in a parallel structure to facilitate…
Category: 7. Maths
-
Hybrid golden Jackal and moth flame optimization algorithm based coverage path planning in heterogeneous UAV networks
In this section, the models, fitness function, and the process of hybridizing GJOA and MFOA for achieving coverage path planning is presented in a more detailed way.
System models
Consider UAVs, \(\:U=\{{u}_{1},\:{u}_{2},\:.\:.\:.\:,\:{u}_{n}\}\)…
Continue Reading
-
The analysis of landscape design and plant selection under deep learning
Datasets collection
The dataset used in this landscape image recognition experiment is the Sift Flow dataset. It is a standard dataset for scene understanding and image segmentation tasks, used to evaluate and compare the performance of different…
Continue Reading
-
Quantum secured blockchain framework for enhancing post quantum data security
This paper proposes a QuantumShield-BC framework to provide end-to-end protection for blockchain systems in the quantum age. It incorporates post-quantum digital signatures at the protocol layer, quantum key distribution (QKD) at the network…
Continue Reading
-
Multi-dimensional flux balance analysis to optimized resources and energy efficiency in MEC aided 5G networks
This section showcases the accomplishment of the suggested approach CBMDFBA and validates it using simulation data. Overall, energy usage and latency parameters concerning MDs and MHs are calculated. The simulation setup described in the section…
Continue Reading
-
Decentralized queue control with delay shifting in edge-IoT using reinforcement learning
Analytical modelling of the edge-IoT environment as a single-channel queueing system with controlled shift in distributions
In modern edge-oriented IoT environments, there is an increasing need for adaptive load regulation that considers…
Continue Reading
-
Unveiling Arabic named entity recognition using natural language processing with artificial intelligence approach on Moroccan dialect
This research introduces a novel NGOAI-ANER methodology for the Moroccan dialect. The methodology aims to enhance the precision and efficiency of NER systems for Arabic text. Various procedures, namely word embedding, SALSTM-based classification,…
Continue Reading
-
Optimizing plane detection in point clouds through line sampling
In this section, we present the experimental setup and results aimed at evaluating the performance of our proposed RANSAC-LP4 algorithm in comparison with the vanilla RANSAC method. Our evaluation is conducted on three real-world datasets…
Continue Reading
-
Machine learning models for accurately predicting properties of CsPbCl3 Perovskite quantum dots
Data description
We initiated our research by thoroughly analysing existing literature to compile a comprehensive database of hot injection synthesis parameters for \(\textrm{CsPbCl}_3\) PQDs. The data were collected from 59 peer-reviewed…
Continue Reading
-
Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning
In this paper, we model the vehicular networking communication resource allocation problem as a task based on multi-agent reinforcement learning using Asynchronous Federated Learning (AFL) combined with Multi-Agent Deep Deterministic Policy…
Continue Reading