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  • Open Access

This study investigates the Lie point and Q-conditional symmetries of a classical two-component reaction–diffusion system in one spatial dimension. The symmetry classifications for the reaction–diffusion system and corresponding symmetry...

  • Article
  • Open Access

Yellow fever (YF) and malaria co-infections are real public health concerns in Africa, especially in countries such as Nigeria, where mosquitoes carrying both pathogens (Aedes for YF, Anopheles for malaria) coexist. A mathematical model that consider...

  • Article
  • Open Access
33 Views
28 Pages

New Adaptive Echolocation Radar Technique Incorporated into the Bat Algorithm Applied to Benchmark Functions (Radar-Bat)

  • Miguel A. García-Morales,
  • Rubén Salas-Cabrera,
  • Bárbara María-Esther García-Morales,
  • Juan Frausto-Solís and
  • Joel Rodríguez-Guillén

This article proposes a bat algorithm that incorporates novel techniques inspired by maritime radars, referred to as the Radar-Bat algorithm. This proposed method allows each virtual bat to identify the position of the best solution at a given distan...

  • Article
  • Open Access
74 Views
24 Pages

The increasing global reliance on wind and solar energy underscores the critical vulnerability of renewable systems to extreme weather, which can severely disrupt power generation. Accurately modelling the complex, multivariate dependencies of weathe...

  • Article
  • Open Access
127 Views
26 Pages

Accurate mapping of land use and land cover (LULC) is crucial for various applications such as urban planning, environmental management, and sustainable development, particularly in rapidly growing urban areas. African cities such as Yaoundé,...

  • Article
  • Open Access
90 Views
21 Pages

Accurate sales prediction is crucial for inventory and marketing in e-commerce. Cross-border sales involve complex patterns that traditional models cannot capture. To address this, we propose an improved Bidirectional Long Short-Term Memory (BiLSTM)...

  • Article
  • Open Access
108 Views
13 Pages

Gaining Understanding of Neural Networks with Programmatically Generated Data

  • Eric O’Sullivan,
  • Ken Kennedy and
  • Jean Mohammadi-Aragh

The performance of convolutional neural networks (CNNs) depends not only on model architecture but also on the structure and quality of the training data. While most artificial network interpretability methods focus on explaining trained models, less...

  • Article
  • Open Access
251 Views
25 Pages

To address the challenges of low precision, slow convergence, and poor anti-interference in traditional Particle Swarm Optimization (PSO) for Permanent Magnet Synchronous Motor (PMSM) speed control, a new Adaptive Hybrid Particle Swarm Optimization (...

  • Article
  • Open Access
276 Views
18 Pages

An Improved Approach Based on a New Laplace Model Using Classical and Risk Measures

  • Morad Alizadeh,
  • Gauss M. Cordeiro,
  • Jondeep Das,
  • Partha Jyoti Hazarika,
  • Javier E. Contreras-Reyes,
  • Mohamed S. Hamed and
  • Haitham M. Yousof

In this paper, we propose a generalized odd log-logistic standard Laplace model and study some of its main properties. The novelty of this model is based on classical and risk-based measures to effectively analyze the body mass index (BMI) data. The...

  • Article
  • Open Access
238 Views
27 Pages

IoTToe: Monitoring Foot Angle Variability for Health Management and Safety

  • Ata Jahangir Moshayedi,
  • Zeashan Khan,
  • Zhonghua Wang and
  • Mehran Emadi Andani

Toe-in (inward) and toe-out (outward) foot alignments significantly affect gait, posture, and joint stress, causing issues like abnormal gait, joint strain, and foot conditions such as plantar fasciitis and high arches. Addressing these alignments is...

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Math. Comput. Appl. - ISSN 2297-8747