Understanding of machine learning with deep learning: architectures, workflow, applications and future directions

MM Taye - Computers, 2023 - mdpi.com
In recent years, deep learning (DL) has been the most popular computational approach in
the field of machine learning (ML), achieving exceptional results on a variety of complex …

AI-based modeling: techniques, applications and research issues towards automation, intelligent and smart systems

IH Sarker - SN Computer Science, 2022 - Springer
Artificial intelligence (AI) is a leading technology of the current age of the Fourth Industrial
Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and …

[PDF][PDF] Klasterisasi Data Penjualan Berdasarkan Wilayah Menggunakan Metode K-Means Pada Pt Xyz

EM Fitri, RR Suryono, A Wantoro - Jurnal Komputasi, 2023 - jurnal.fmipa.unila.ac.id
PT XYZ merupakan perusahaan yang bergerak dalam bidang distributor minuman ringan
yang ada di Lampung. Permasalahan yang dihadapi perusahaan saat ini dalam mengelola …

ChatGPT: A revolutionary tool for teaching and learning mathematics

Y Wardat, MA Tashtoush, R AlAli… - Eurasia Journal of …, 2023 - ejmste.com
This study aims to examine the perspectives of various stakeholders, such as students and
educators, on the use of artificial intelligence in teaching mathematics, specifically after the …

Rethinking graph neural networks for anomaly detection

J Tang, J Li, Z Gao, J Li - International Conference on …, 2022 - proceedings.mlr.press
Abstract Graph Neural Networks (GNNs) are widely applied for graph anomaly detection. As
one of the key components for GNN design is to select a tailored spectral filter, we take the …

Deep learning: a comprehensive overview on techniques, taxonomy, applications and research directions

IH Sarker - SN computer science, 2021 - Springer
Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is
nowadays considered as a core technology of today's Fourth Industrial Revolution (4IR or …

[HTML][HTML] Bidirectional convolutional recurrent neural network architecture with group-wise enhancement mechanism for text sentiment classification

A Onan - Journal of King Saud University-Computer and …, 2022 - Elsevier
Sentiment analysis has been a well-studied research direction in computational linguistics.
Deep neural network models, including convolutional neural networks (CNN) and recurrent …

Internet of things (iot) security intelligence: a comprehensive overview, machine learning solutions and research directions

IH Sarker, AI Khan, YB Abushark, F Alsolami - Mobile Networks and …, 2023 - Springer
Abstract The Internet of Things (IoT) is one of the most widely used technologies today, and
it has a significant effect on our lives in a variety of ways, including social, commercial, and …

Is chatgpt fair for recommendation? evaluating fairness in large language model recommendation

J Zhang, K Bao, Y Zhang, W Wang, F Feng… - Proceedings of the 17th …, 2023 - dl.acm.org
The remarkable achievements of Large Language Models (LLMs) have led to the
emergence of a novel recommendation paradigm—Recommendation via LLM (RecLLM) …

Machine learning: Algorithms, real-world applications and research directions

IH Sarker - SN computer science, 2021 - Springer
In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world
has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data …