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Natural Language Processing for Requirements Engineering

Liping Zhao, Waad Alhoshan, Alessio Ferrari, Keletso J. Letsholo et al. • ACM Computing Surveys (2021)

Natural Language Processing for Requirements Engineering (NLP4RE) is an area of research and development that seeks to apply natural language processing (NLP) techniques, tools, and resources to the requirements engineering (RE) process, to...

OPENALEX Open Access DOI: https://doi.org/10.1145/3444689

Handbook of Natural Language Processing

Robert Dale, Hermann L. Moisl, HAROLD L. SOMERS • Computational Linguistics (2001)

Symbolic approaches to natural language processing tokenisation and sentence segmentation lexical analysis parsing techniques semantic analysis discourse structure and intention recognition natural language generation intelligent writing as...

OPENALEX Open Access DOI: https://doi.org/10.1162/coli.2000.27.4.602

Natural language processing

Gobinda G Chowdhury • Annual Review of Information Science and Technology (2003)

Previous ARIST chapters (Haas, 1996;Warner, 1987) described a number of theoretical developments that have influenced research in NLP.The most recent theoretical developments can be grouped into four classes: (i) statistical and corpus-base...

OPENALEX Open Access DOI: https://doi.org/10.1002/aris.1440370103

Advances in natural language processing

Julia Hirschberg, Christopher D. Manning • Science (2015)

Natural language processing employs computational techniques for the purpose of learning, understanding, and producing human language content. Early computational approaches to language research focused on automating the analysis of the lin...

OPENALEX DOI: https://doi.org/10.1126/science.aaa8685

Natural language processing with Python

Steven Bird, Ewan Klein, Edward Loper • CERN Document Server (European Organization for Nuclear Research) (2009)

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'...

OPENALEX

Mobile learning for less-commonly taught languages: design and application

Tang Jinlan, Zhai Yuming, Li Lingxiao, Liu Peixin et al. • Journal of China Computer-Assisted Language Learning (2024)

The increasing development of emerging technologies contributes to ubiquitous and personalized language learning. Hence this study reported a project of designing and applying mobile learning for a less-commonly taught language, Fijian lang...

DOAJ Open Access (DOAJ) DOI: 10.1515/jccall-2024-0006

Computer vision in smart agriculture and precision farming: Techniques and applications

Sumaira Ghazal, Arslan Munir, Waqar Shahid Qureshi • Artificial Intelligence in Agriculture (2024)

The transformation of age-old farming practices through the integration of digitization and automation has sparked a revolution in agriculture that is driven by cutting-edge computer vision and artificial intelligence (AI) technologies. Thi...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.aiia.2024.06.004

An image based application in Matlab for automated modelling and morphological analysis of insect wings

Shahab Eshghi, Fatemeh Nabati, Shaghayegh Shafaghi, Vahid Nooraeefar et al. • Scientific Reports (2022)

Abstract Despite extensive research on the biomechanics of insect wings over the past years, direct mechanical measurements on sensitive wing specimens remain very challenging. This is especially true for examining delicate museum specimens...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-022-17859-9

Identification of camouflage military individuals with deep learning approaches DFAN and SINETV2

Ali Haider, Ghulam Muhammad, Talha Ahmed Khan, Kushsairy Kadir et al. • Scientific Reports (2025)

Abstract Camouflaged object detection particularly is considered as challenging and crucial because these objects are designed to either mimic their environment or be completely hidden within it. The goal of camouflage patterns utilization ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-18886-y

Computer Vision

Mrs. Arjoo Pandey • International Journal for Research in Applied Science and Engineering Technology (2023)

Abstract: Computer vision is a field of artificial intelligence that focuses on enabling computers to understand and interpret visual information from images or videos. It involves developing algorithms and techniques to extract meaningful ...

OPENALEX Open Access DOI: https://doi.org/10.22214/ijraset.2023.54701

Computer Vision System for Automatic Counting of Planting Microsites Using UAV Imagery

Wassim Bouachir, Koffi Eddy Ihou, Houssem-Eddine Gueziri, Nizar Bouguila et al. • IEEE Access (2019)

Mechanical site preparation by mounding is often used by the forest industry to provide optimal growth conditions for tree seedlings. Prior to planting, an essential step consists in estimating the number of mounds at each planting block, w...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2019.2923765

Lipid vesicle shape analysis from populations using light video microscopy and computer vision.

Jernej Zupanc, Barbara Drašler, Sabina Boljte, Veronika Kralj-Iglič et al. • PLoS ONE (2014)

We present a method for giant lipid vesicle shape analysis that combines manually guided large-scale video microscopy and computer vision algorithms to enable analyzing vesicle populations. The method retains the benefits of light microscop...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pone.0113405

Lightweight Road Image Segmentation Algorithm Based on Multi-Scale Feature Fusion for Blind Guiding Scenarios

SHA Yuyang, LU Jingtao, DU Haofan, ZHAI Xiaobing, MENG Weiyu, LIAN Xu, LUO Gang, LI Kefeng • Jisuanji gongcheng (2025)

Image segmentation is a crucial technology for environmental perception, and it is widely used in various scenarios such as autonomous driving and virtual reality. With the rapid development of technology, computer vision-based blind guidin...

DOAJ Open Access (DOAJ) DOI: 10.19678/j.issn.1000-3428.0068674