Pietilä, M. & Kangas, K. Examining the relationship between recreation settings and experiences in Oulanka National Park – A Spatial approach. J. Outdoor Recreation Tourism. 9, 26–36 (2015).
Category: 7. Maths
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Optical soliton solutions, dynamical and sensitivity analysis for fractional perturbed Gerdjikov–Ivanov equation
In this section, we will discuss the dynamical behavior through bifurcation and sensitivity.
Bifurcation analysis
From (18), we can write as
$$\begin{aligned} F^{”}=\frac{\alpha _1\kappa ^2+\alpha _4\kappa -\kappa \omega }{\alpha…
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Improved railway track faults detection using Mel-frequency cepstral coefficient and constant-Q transform features
This section discusses dataset collection and strategy, feature extraction techniques, machine learning methods for classification, and the recommended approach.
Dataset collection
The dataset holds crucial importance in the automated…
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Fractional differential quadrature method for modeling composite halide perovskite solar cells
Firstly, Discrete singular convolution differential quadrature (DQ) method combined with the technique of block-marching to analyze the halide perovskite CH3NH3GeI3 layer inserted between two layers (Electron transport layer- Hole transport…
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Mixed effect gradient boosting for high-dimensional longitudinal data
Mixed Effect Gradient Boosting (MEGB) is a hybrid statistical and machine learning technique that integrates the strengths of gradient boosting with mixed-effects modelling, addressing the unique challenges of longitudinal or hierarchical data….
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Medical triage as an AI ethics benchmark
In this work, we demonstrated the ability of LLMs to solve ethical dilemmas in the medical context. All models, except Mistral, consistently outperformed random guessing on the TRIAGE benchmark. This indicates that models do indeed have a good…
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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…
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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,…
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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…
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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…
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