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  • Review
  • Open Access
121 Citations
59,553 Views
63 Pages

Connected and Automated Vehicles: Infrastructure, Applications, Security, Critical Challenges, and Future Aspects

  • Memoona Sadaf,
  • Zafar Iqbal,
  • Abdul Rehman Javed,
  • Irum Saba,
  • Moez Krichen,
  • Sajid Majeed and
  • Arooj Raza

Autonomous vehicles (AV) are game-changing innovations that promise a safer, more convenient, and environmentally friendly mode of transportation than traditional vehicles. Therefore, understanding AV technologies and their impact on society is criti...

  • Review
  • Open Access
466 Citations
42,170 Views
14 Pages

A Review of Deep Transfer Learning and Recent Advancements

  • Mohammadreza Iman,
  • Hamid Reza Arabnia and
  • Khaled Rasheed

Deep learning has been the answer to many machine learning problems during the past two decades. However, it comes with two significant constraints: dependency on extensive labeled data and training costs. Transfer learning in deep learning, known as...

  • Review
  • Open Access
20 Citations
42,095 Views
25 Pages

Technology in Forensic Sciences: Innovation and Precision

  • Xavier Chango,
  • Omar Flor-Unda,
  • Pedro Gil-Jiménez and
  • Hilario Gómez-Moreno

The advancement of technology and its developments have provided the forensic sciences with many cutting-edge tools, devices, and applications, allowing forensics a better and more accurate understanding of the crime scene, a better and optimal acqui...

  • Feature Paper
  • Review
  • Open Access
162 Citations
40,910 Views
40 Pages

Machine vision, an interdisciplinary field that aims to replicate human visual perception in computers, has experienced rapid progress and significant contributions. This paper traces the origins of machine vision, from early image processing algorit...

  • Systematic Review
  • Open Access
50 Citations
31,367 Views
20 Pages

Real-time sign language translation systems are of paramount importance in enabling communication for deaf and hard-of-hearing individuals. This population relies on various communication methods, including sign languages and visual techniques, to in...

  • Review
  • Open Access
51 Citations
30,566 Views
32 Pages

Vision Transformers for Image Classification: A Comparative Survey

  • Yaoli Wang,
  • Yaojun Deng,
  • Yuanjin Zheng,
  • Pratik Chattopadhyay and
  • Lipo Wang

Transformers were initially introduced for natural language processing, leveraging the self-attention mechanism. They require minimal inductive biases in their design and can function effectively as set-based architectures. Additionally, transformers...

  • Review
  • Open Access
15 Citations
29,519 Views
59 Pages

The emergence and acceptance of digital technology have caused information pollution and an infodemic on Online Social Networks (OSNs), blogs, and online websites. The malicious broadcast of illegal, objectionable and misleading content causes behavi...

  • Perspective
  • Open Access
108 Citations
25,148 Views
10 Pages

Developments and Applications of Artificial Intelligence in Music Education

  • Xiaofei Yu,
  • Ning Ma,
  • Lei Zheng,
  • Licheng Wang and
  • Kai Wang

With the continuous developments of information technology, advanced computer technology and information technology have been promoted and used in the field of music. As one of the products of the rapid development of information technology, Artifici...

  • Article
  • Open Access
10 Citations
23,939 Views
19 Pages

Tongue Disease Prediction Based on Machine Learning Algorithms

  • Ali Raad Hassoon,
  • Ali Al-Naji,
  • Ghaidaa A. Khalid and
  • Javaan Chahl

The diagnosis of tongue disease is based on the observation of various tongue characteristics, including color, shape, texture, and moisture, which indicate the patient’s health status. Tongue color is one such characteristic that plays a vital...

  • Article
  • Open Access
70 Citations
23,350 Views
40 Pages

This study examines the efficacy of Random Forest and XGBoost classifiers in conjunction with three upsampling techniques—SMOTE, ADASYN, and Gaussian noise upsampling (GNUS)—across datasets with varying class imbalance levels, ranging fro...

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Technologies - ISSN 2227-7080