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  • Review
  • Open Access
103 Citations
100,380 Views
26 Pages

The advent of autonomous vehicles has heralded a transformative era in transportation, reshaping the landscape of mobility through cutting-edge technologies. Central to this evolution is the integration of artificial intelligence (AI), propelling veh...

  • Article
  • Open Access
272 Citations
58,756 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...

  • Review
  • Open Access
165 Citations
56,073 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...

  • Systematic Review
  • Open Access
183 Citations
54,422 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...

  • Systematic Review
  • Open Access
77 Citations
50,653 Views
44 Pages

SQL and NoSQL Database Software Architecture Performance Analysis and Assessments—A Systematic Literature Review

  • Wisal Khan,
  • Teerath Kumar,
  • Cheng Zhang,
  • Kislay Raj,
  • Arunabha M. Roy and
  • Bin Luo

The competent software architecture plays a crucial role in the difficult task of big data processing for SQL and NoSQL databases. SQL databases were created to organize data and allow for horizontal expansion. NoSQL databases, on the other hand, sup...

  • Article
  • Open Access
409 Citations
48,819 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
128 Citations
38,991 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...

  • Review
  • Open Access
62 Citations
35,834 Views
24 Pages

Ransomware Detection Using Machine Learning: A Survey

  • Amjad Alraizza and
  • Abdulmohsen Algarni

Ransomware attacks pose significant security threats to personal and corporate data and information. The owners of computer-based resources suffer from verification and privacy violations, monetary losses, and reputational damage due to successful ra...

  • Article
  • Open Access
114 Citations
29,559 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...

  • Systematic Review
  • Open Access
17 Citations
24,396 Views
42 Pages

Predictive Models for Educational Purposes: A Systematic Review

  • Ahlam Almalawi,
  • Ben Soh,
  • Alice Li and
  • Halima Samra

This systematic literature review evaluates predictive models in education, focusing on their role in forecasting student performance, identifying at-risk students, and personalising learning experiences. The review compares the effectiveness of mach...

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Big Data Cogn. Comput. - ISSN 2504-2289