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Most Cited

  • Article
  • Open Access
388 Citations
46,504 Views
10 Pages

In this study, the author collected tweets about ChatGPT, an innovative AI chatbot, in the first month after its launch. A total of 233,914 English tweets were analyzed using the latent Dirichlet allocation (LDA) topic modeling algorithm to answer th...

  • Article
  • Open Access
247 Citations
56,169 Views
16 Pages

ChatGPT, a conversational AI interface that utilizes natural language processing and machine learning algorithms, is taking the world by storm and is the buzzword across many sectors today. Given the likely impact of this model on data science, throu...

  • Systematic Review
  • Open Access
160 Citations
49,042 Views
31 Pages

Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods

  • Tiago P. Pagano,
  • Rafael B. Loureiro,
  • Fernanda V. N. Lisboa,
  • Rodrigo M. Peixoto,
  • Guilherme A. S. Guimarães,
  • Gustavo O. R. Cruz,
  • Maira M. Araujo,
  • Lucas L. Santos,
  • Marco A. S. Cruz and
  • Ewerton L. S. Oliveira
  • + 2 authors

One of the difficulties of artificial intelligence is to ensure that model decisions are fair and free of bias. In research, datasets, metrics, techniques, and tools are applied to detect and mitigate algorithmic unfairness and bias. This study exami...

  • Review
  • Open Access
137 Citations
51,596 Views
20 Pages

Artificial Intelligence in Pharmaceutical and Healthcare Research

  • Subrat Kumar Bhattamisra,
  • Priyanka Banerjee,
  • Pratibha Gupta,
  • Jayashree Mayuren,
  • Susmita Patra and
  • Mayuren Candasamy

Artificial intelligence (AI) is a branch of computer science that allows machines to work efficiently, can analyze complex data. The research focused on AI has increased tremendously, and its role in healthcare service and research is emerging at a g...

  • Article
  • Open Access
113 Citations
34,967 Views
17 Pages

Real-Time Attention Monitoring System for Classroom: A Deep Learning Approach for Student’s Behavior Recognition

  • Zouheir Trabelsi,
  • Fady Alnajjar,
  • Medha Mohan Ambali Parambil,
  • Munkhjargal Gochoo and
  • Luqman Ali

Effective classroom instruction requires monitoring student participation and interaction during class, identifying cues to simulate their attention. The ability of teachers to analyze and evaluate students’ classroom behavior is becoming a cru...

  • Article
  • Open Access
107 Citations
19,904 Views
14 Pages

The lungs are the center of breath control and ensure that every cell in the body receives oxygen. At the same time, they filter the air to prevent the entry of useless substances and germs into the body. The human body has specially designed defence...

  • Systematic Review
  • Open Access
106 Citations
37,021 Views
23 Pages

Physics-Informed Neural Network (PINN) Evolution and Beyond: A Systematic Literature Review and Bibliometric Analysis

  • Zaharaddeen Karami Lawal,
  • Hayati Yassin,
  • Daphne Teck Ching Lai and
  • Azam Che Idris

This research aims to study and assess state-of-the-art physics-informed neural networks (PINNs) from different researchers’ perspectives. The PRISMA framework was used for a systematic literature review, and 120 research articles from the comp...

  • Article
  • Open Access
99 Citations
26,625 Views
27 Pages

Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach

  • Abdul Rehman Khalid,
  • Nsikak Owoh,
  • Omair Uthmani,
  • Moses Ashawa,
  • Jude Osamor and
  • John Adejoh

In the era of digital advancements, the escalation of credit card fraud necessitates the development of robust and efficient fraud detection systems. This paper delves into the application of machine learning models, specifically focusing on ensemble...

  • Review
  • Open Access
97 Citations
63,671 Views
24 Pages

Data is the lifeblood of any organization. In today’s world, organizations recognize the vital role of data in modern business intelligence systems for making meaningful decisions and staying competitive in the field. Efficient and optimal data...

  • Article
  • Open Access
87 Citations
15,110 Views
20 Pages

A Real-Time Computer Vision Based Approach to Detection and Classification of Traffic Incidents

  • Mohammed Imran Basheer Ahmed,
  • Rim Zaghdoud,
  • Mohammed Salih Ahmed,
  • Razan Sendi,
  • Sarah Alsharif,
  • Jomana Alabdulkarim,
  • Bashayr Adnan Albin Saad,
  • Reema Alsabt,
  • Atta Rahman and
  • Gomathi Krishnasamy

To constructively ameliorate and enhance traffic safety measures in Saudi Arabia, a prolific number of AI (Artificial Intelligence) traffic surveillance technologies have emerged, including Saher, throughout the past years. However, rapidly detecting...