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Computers, Volume 13, Issue 9

September 2024 - 29 articles

Cover Story: This research introduces a new approach for detecting mobile phone use by drivers, exploiting the capabilities of Kolmogorov–Arnold Networks (KANs) to improve road safety. We created a unique dataset for our research on bus drivers for two scenarios: driving without phone interaction and driving while on a phone call. A different KAN-based network was developed for custom action recognition tailored to identifying drivers holding phones. We evaluated the performance of our system against convolutional neural network-based solutions and showed the differences in accuracy and robustness. The work has implications beyond enforcement, providing foundational technology for automating monitoring and improving safety protocols in commercial and public transport sectors. View this paper
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Articles (29)

  • Article
  • Open Access
3,771 Views
16 Pages

23 September 2024

The United Arab Emirates (UAE) is a frontrunner in digitalising government services, demonstrating the successful implementation of National Digital Identity (NDI) systems. Unlike many developing nations with varying levels of success with electronic...

  • Article
  • Open Access
2,231 Views
15 Pages

Parallel Attention-Driven Model for Student Performance Evaluation

  • Deborah Olaniyan,
  • Julius Olaniyan,
  • Ibidun Christiana Obagbuwa,
  • Bukohwo Michael Esiefarienrhe and
  • Olorunfemi Paul Bernard

23 September 2024

This study presents the development and evaluation of a Multi-Task Long Short-Term Memory (LSTM) model with an attention mechanism for predicting students’ academic performance. The research is motivated by the need for efficient tools to enhan...

  • Article
  • Open Access
4 Citations
2,287 Views
17 Pages

23 September 2024

With the rapid development of the education industry and the expansion of university enrollment scale, it is difficult for the original teaching resource operation and maintenance management mode and utilization efficiency to meet the demands of teac...

  • Article
  • Open Access
1 Citations
2,069 Views
16 Pages

23 September 2024

The online services provided by the Service Provider (SP) have brought significant convenience to people’s lives. Nowadays, people have grown accustomed to obtaining diverse services via the Internet. However, some SP utilize or even tamper wit...

  • Article
  • Open Access
26 Citations
5,898 Views
25 Pages

Enhancing Fake News Detection with Word Embedding: A Machine Learning and Deep Learning Approach

  • Mutaz A. B. Al-Tarawneh,
  • Omar Al-irr,
  • Khaled S. Al-Maaitah,
  • Hassan Kanj and
  • Wael Hosny Fouad Aly

19 September 2024

The widespread dissemination of fake news on social media has necessitated the development of more sophisticated detection methods to maintain information integrity. This research systematically investigates the effectiveness of different word embedd...

  • Article
  • Open Access
1 Citations
1,342 Views
21 Pages

Weighted Averages and Polynomial Interpolation for PM2.5 Time Series Forecasting

  • Anibal Flores,
  • Hugo Tito-Chura,
  • Victor Yana-Mamani,
  • Charles Rosado-Chavez and
  • Alejandro Ecos-Espino

18 September 2024

This article describes a novel method for the multi-step forecasting of PM2.5 time series based on weighted averages and polynomial interpolation. Multi-step prediction models enable decision makers to build an understanding of longer future terms th...

  • Article
  • Open Access
1 Citations
1,641 Views
19 Pages

18 September 2024

Gliomas are a common and aggressive kind of brain tumour that is difficult to diagnose due to their infiltrative development, variable clinical presentation, and complex behaviour, making them an important focus in neuro-oncology. Segmentation of bra...

  • Article
  • Open Access
2 Citations
2,223 Views
15 Pages

Cross-Lingual Short-Text Semantic Similarity for Kannada–English Language Pair

  • Muralikrishna S N,
  • Raghurama Holla,
  • Harivinod N and
  • Raghavendra Ganiga

18 September 2024

Analyzing the semantic similarity of cross-lingual texts is a crucial part of natural language processing (NLP). The computation of semantic similarity is essential for a variety of tasks such as evaluating machine translation systems, quality checki...

  • Article
  • Open Access
7 Citations
2,689 Views
18 Pages

Enhancing Solar Power Efficiency: Smart Metering and ANN-Based Production Forecasting

  • Younes Ledmaoui,
  • Asmaa El Fahli,
  • Adila El Maghraoui,
  • Abderahmane Hamdouchi,
  • Mohamed El Aroussi,
  • Rachid Saadane and
  • Ahmed Chebak

17 September 2024

This paper presents a comprehensive and comparative study of solar energy forecasting in Morocco, utilizing four machine learning algorithms: Extreme Gradient Boosting (XGBoost), Gradient Boosting Machine (GBM), recurrent neural networks (RNNs), and...

  • Article
  • Open Access
6 Citations
8,336 Views
17 Pages

17 September 2024

The extensive utilization of drones has led to numerous scenarios that encompass both advantageous and perilous outcomes. By using deep learning techniques, this study aimed to reduce the dangerous effects of drone use through early detection of dron...

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Computers - ISSN 2073-431XCreative Common CC BY license