--- title: "Media Technology — papers" description: "Media Technology: 10 papers of the Elamur Research library, the most cited first — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/engineering/media-technology/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/engineering/media-technology/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Engineering](https://md.research.elamur.ai/free/en/shelves/engineering/) / Media Technology # ⚙️ Media Technology 10 papers · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Media Technology is a subfield of Engineering in the OpenAlex classification of science. The topics most of its papers here are on: «Vehicle License Plate Recognition», «Advanced Image Fusion Techniques», «Engineering Education and Curriculum Development». ## Papers 1. [**Efficient Low-rank Multimodal Fusion With Modality-Specific Factors**Zhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan, et al.*2018 · 1,174 citations*](https://md.research.elamur.ai/free/en/papers/liu-2018-efficient-low-rank-multimodal-fusion/) 2. [**HATFormer: Historic Handwritten Arabic Text Recognition with Transformers**Adrian Chan, Anupam Mijar, Mehreen Saeed, et al.*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/chan-2024-hatformer-historic-handwritten-arabic-text/) 3. [**An End-to-End OCR Framework for Robust Arabic-Handwriting Recognition using a Novel Transformers-based Model and an Innovative 270 Million-Words Multi-Font Corpus of Classical Arabic with Diacritics**Aly Mostafa, Omar Mohamed, Ali Ashraf, et al.*2022 · 3 citations*](https://md.research.elamur.ai/free/en/papers/mostafa-2022-end-end-ocr-framework-robust/) 4. [**Ancient but Digitized: Developing Handwritten Optical Character Recognition for East Syriac Script Through Creating KHAMIS Dataset**Ameer Majeed, Hossein Hassani*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/majeed-2024-ancient-but-digitized-developing-handwritten/) 5. [**Off-Line Arabic Handwritten Words Segmentation using Morphological Operators**Nisreen AbdAllah, Serestina Viriri*2020 · 2 citations*](https://md.research.elamur.ai/free/en/papers/abdallah-2021-off-line-arabic-handwritten-words/) 6. [**Arabic Handwritten Text Line Dataset**Hakim Bouchal, Ahror Belaid*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/bouchal-2023-arabic-handwritten-text-line-dataset/) 7. [**Neural Computing for Online Arabic Handwriting Character Recognition using Hard Stroke Features Mining**Amjad Rehman*2020 · 1 citation*](https://md.research.elamur.ai/free/en/papers/rehman-2020-neural-computing-online-arabic-handwriting/) 8. [**LV-ROVER-MLT: Low-Resource Maltese OCR by Synthetic Fine-Tuning and Multi-Stream Arbitration**Adam Darmanin*2026*](https://md.research.elamur.ai/free/en/papers/darmanin-2026-lv-rover-mlt-low-resource/) 9. [**Nepal Script Text Recognition from Ancient Artifacts: Challenges and Opportunities**Swornim Nakarmi, Sarin Sthapit, Sahil Ratna Tuladhar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nakarmi-2026-nepal-script-text-recognition-ancient/) 10. [**UniSkill: A Dataset for Matching University Curricula to Professional Competencies**Nurlan Musazade, József Mezei, Mike Zhang*2026*](https://md.research.elamur.ai/free/en/papers/musazade-2026-uniskill-dataset-matching-university-curricula/) Updated 23 October 2026 - [← previous subfield Industrial and Manufacturing Engineering](https://md.research.elamur.ai/free/en/shelves/engineering/industrial-and-manufacturing-engineering/) - [next subfield → Safety, Risk, Reliability and Quality](https://md.research.elamur.ai/free/en/shelves/engineering/safety-risk-reliability-and-quality/) - [↑ back to Engineering](https://md.research.elamur.ai/free/en/shelves/engineering/)