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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

Unpacking Public Perceptions of Qris with Twitter Data: A Vader And LDA Methodology

Dzakiya Ishmatul Ulya, Anang Kunaefi, Dwi Rolliawati, Bayu Adhi Nugroho • Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer (2023)

QRIS, a mobile payment transaction system standardized by Bank Indonesia, has become the subject of extensive public discourse on Twitter. Employing VADER for sentiment analysis and LDA for topic modeling, this study aims to capture the nua...

DOAJ Open Access (DOAJ) DOI: 10.31961/eltikom.v7i2.742

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

Advanced Swine Management: Infrared Imaging for Precise Localization of Reproductive Organs in Livestock Monitoring

Iyad Almadani, Brandon Ramos, Mohammed Abuhussein, Aaron L. Robinson • Digital (2024)

Traditional methods for predicting sow reproductive cycles are not only costly but also demand a larger workforce, exposing workers to respiratory toxins, repetitive stress injuries, and chronic pain. This occupational hazard can even lead ...

DOAJ Open Access (DOAJ) DOI: 10.3390/digital4020022

TSER: A Two-Stage Character Segmentation Network With Two-Stream Attention and Edge Refinement

Jinyingming Zhang, Jin Liu, Xiongwei Xu, Peizhu Gong et al. • IEEE Access (2020)

Segmenting characters in an image is a classic yet challenging task in computer vision. Correctly determining boundaries of adhesive characters with various scales and shapes is essential for character segmentation, especially for separatin...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.3036545

Robust Techniques for Computer Vision

Peter Meer, B. Tordoff, P. H. S. Torr, C. Davidson et al. (2004)

ysis 1995, pages 191--208. AddisonWesley Longman, 1996. [116] R. H. Zamar. Robust estimation in the errors-in-variables model. Biometrika, 76:149-- 160, 1989. [117] Z. Zhang. Determining the epipolar geometry and its uncertainty: A review. ...

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Strawberry plant wetness detection using computer vision and deep learning

Arth Patel, Won Suk Lee, Natalia A. Peres, Clyde W. Fraisse • Smart Agricultural Technology (2021)

Botrytis fruit rot and anthracnose are fungal diseases of strawberry. These diseases are a significant contributor to yield losses, requiring farmers to use fungicides frequently to prevent them. The proliferation of botrytis and anthracnos...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.atech.2021.100013

Generalized Vision-Based Detection, Identification and Pose Estimation of Lamps for BIM Integration

Francisco Troncoso-Pastoriza, Javier López-Gómez, Lara Febrero-Garrido • Sensors (2018)

This paper introduces a comprehensive approach based on computer vision for the automatic detection, identification and pose estimation of lamps in a building using the image and location data from low-cost sensors, allowing the incorporati...

DOAJ Open Access (DOAJ) DOI: 10.3390/s18072364

Intelligent Algorithm for Rock Core RQD Based on Object Detection and Image Segmentation to Suppress Noise and Vibration

Feng Xiong, Jintao Wang, Guohua Zhang, Xueming Shi et al. • Advances in Civil Engineering (2024)

In the construction of the civil engineering infrastructure, the noise and vibration are affected by the geological conditions, adopting specific construction techniques based on the geological conditions is of great significance in suppres...

DOAJ Open Access (DOAJ) DOI: 10.1155/2024/3599911

Algoritms for determining the attitude position of an unmanned aerial vehicle relative to the landing platform by using computer vision

T. Yu. Gainutdinova, S. V. Novikova, V. G. Gainutdinov, M. V. Trusfus et al. • Вестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение (2023)

Algorithms for determining the attitude position of an aircraft or helicopter-type unmanned aerial vehicle relative to the landing platform with special optical marks are considered. An assessment is made of the possibility of calculating t...

DOAJ Open Access (DOAJ) DOI: 10.18287/2541-7533-2023-22-4-37-51

Low illumination image enhancement algorithm of CycleGAN coal mine based on attention mechanism and Dilated convolution

Yuanbin WANG, Yaru GUO, Jia LIU, Xu WANG et al. • Meitan kexue jishu (2024)

The complex underground environment, filled with a large amount of dust and water vapor, and uneven illumination of artificial light source, leads to problems such as low illumination and loss of detail features in images collected by under...

DOAJ Open Access (DOAJ) DOI: 10.12438/cst.2023-1597

Determining the Optimum Layer Combination for Cross-Laminated Timber Panels According to Timber Strength Classes Using Artificial Neural Networks

Engin Derya Gezer, Abdullah Uğur Birinci, Aydın Demir, Hasan Öztürk et al. • BioResources (2024)

The primary aim of this work was to determine the effects of production parameters, such as wood species and timber strength classes, on some mechanical properties of cross-laminated timber (CLT) panels using artificial neural network (ANN)...

DOAJ Open Access (DOAJ)

Survey on categorical data for neural networks

John Hancock, Taghi M. Khoshgoftaar • Journal Of Big Data (2020)

Abstract This survey investigates current techniques for representing qualitative data for use as input to neural networks. Techniques for using qualitative data in neural networks are well known. However, researchers continue to discover n...

OPENALEX cc-by DOI: https://doi.org/10.1186/s40537-020-00305-w

Formation of Cluster‐Structured Metallic Filaments in Organic Memristors for Wearable Neuromorphic Systems with Bio‐Mimetic Synaptic Weight Distributions

Uihoon Jung, Miseong Kim, Jaewon Jang, Jin‐Hyuk Bae et al. • Advanced Science (2024)

Abstract With increasing demand for wearable electronics capable of computing huge data, flexible neuromorphic systems mimicking brain functions have been receiving much attention. Despite considerable efforts in developing practical neural...

DOAJ Open Access (DOAJ) DOI: 10.1002/advs.202307494