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Array is a peer-reviewed journal published by Elsevier, covering Advanced Neural Network Applications, Network Security and Intrusion Detection, Advanced Malware Detection Techniques.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Array 12 (2023) 45–58.
Formats any DOI in Array style. No sign-up. |
| Publishes research in | Advanced Neural Network Applications Network Security and Intrusion Detection Advanced Malware Detection Techniques Topic Modeling IoT and Edge/Fog Computing |
| ISSN | 2590-0056 |
| Citation impact (2-yr) | 2.57 |
| h-index | 46 |
| i10-index | 201 |
| Total citations | 11,377 |
| Article processing charge | $1,350 |
| Open access | Yes |
| Top institutions publishing here | Vellore Institute of Technology University |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
To ensure good performance, modern machine learning models typically require large amounts of quality annotated data. Meanwhile, the data collection and annotation processes are usually performed manually, and consume a lot of time and resources. The quality and representativeness of curated data for a given task is usually dictated by the natural availability of clean…
Multi-modality is widely used in medical imaging, because it can provide multiinformation about a target (tumor, organ or tissue). Segmentation using multimodality consists of fusing multi-information to improve the segmentation. Recently, deep learning-based approaches have presented the state-of-the-art performance in image classification, segmentation, object detection and tracking tasks. Due to their self-learning and generalization ability…
This article presents a comprehensive survey of deep learning applications for object detection and scene perception in autonomous vehicles. Unlike existing review papers, we examine the theory underlying self-driving vehicles from deep learning perspective and current implementations, followed by their critical evaluations. Deep learning is one potential solution for object detection and scene perception problems,…
The impulse towards a larger introduction of Information and Communication Technology (ICT) in the agricultural field is currently experiencing its momentum, as digitisation has large potentialities to provide benefits for both producers and consumers; on the other hand, pushing technological solutions into a rural context encounters several challenges. In this work, we provide a survey…
