Academic Articles & Research Papers

Natural language processing

article Free Access Share on Natural language processing Author: Yorick Wilks View Profile Authors Info & Claims Communications of the ACMVolume 39Issue 1Jan. 1996pp 60–62https://doi.org/10.1145/234173.234180Published:01 January 1996Publica...

USE OF ARTIFICIAL INTELLIGENCE TO IDENTIFY AND CORRECT MISCONCEPTIONS ABOUT RADIATION

The expansion of nuclear technologies in various industries, combined with the constant threat of radiation-related incidents, highlights the urgent need for effective radiation education. This study is devoted to an empirical investigation...

Development and External Validation of a Machine Learning Model for Automated Feedback Quality Assessment in Chinese Anesthesiology Residency Training

Lifeng Yao, Yijun Chen, Jing Shen, Junge Zhang, Yiwei Zhang, Guojin Liang, Yiqin Ji Department of Anesthesiology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, People’s Republic of ChinaCorrespondence: Yijun Chen, De...

Fungi are overlooked dimethylsulfoniopropionate degraders in marine environments.

A new image similarity metric for a perceptual and transparent geometric and chromatic assessment

Abstract Full-reference image quality assessment metrics such as PSNR and SSIM misalign with human perceptual judgments on texture and shape distortions, a limitation documented across multiple benchmarks. Deep perceptual metrics such as LP...

Cracking the code: AI’s role in mapping evidence syntheses to the United Nations sustainable development goals

Abstract Background Understanding the alignment and contributions of research to the United Nations Sustainable Development Goals (UN SDGs) is essential for guiding global progress toward these critical targets. Several SDG mapping approach...

Capire o interpretare (osservazioni su Celan)

La traduction de la poésie de Paul Celan pose la question et le défi de l’incommunicabilité, du moins au premier contact. Michele Ranchetti, qui a publié la traduction de deux recueils des poésies inédites Conseguito silenzio, et Sotto il t...

ILSA: an automated language complexity analysis tool for French

Estimating language complexity is an important aspect of educational measurement and assessment that can be used, for instance, to control for unwanted variance due to language, or to provide students with texts that are conducive to learni...

Local, authentique, durable : la gastronomie entre ancrage territorial et dynamiques globales.

Since the early twenty-first century, ecological, economic, and geopolitical crises have intensified challenges related to food systems, reshaping dietary practices and individual relationships with the environment. Sustainable food consump...

Assessing GPT's capabilities in consumer food survey analysis: A comparative approach for understanding food technophobia and novel protein perceptions

This study explores the application of GPT models for automating consumer food survey analysis, focusing on Chinese consumers' acceptance of plant-based foods, cultured meat, insect-based proteins, and microbial proteins. Traditional survey...

The Impact of Word Regularity on the Reading of Normal and Aphasic Gilak-Persian Adults

Background: Various factors influence the natural processing of words. The present study sought to investigate the effect of the regularity variable on the reading of words. Objectives: The participants in the study were 50 normal and 5 aph...

DE L’INTERVENTION DES ACTEURS NON ÉTATIQUES POUR LA SCOLARISATION DES ÉLÈVES DÉPLACÉS INTERNES (EDI)

Résumé : La crise sécuritaire à laquelle le Burkina Faso est confronté affecte son système éducatif depuis 2016. Elle est à l’origine de la fermeture de plusieurs milliers d’établissements scolaires et du déplacement des élèves de leurs lie...

Multi-Camera Machine Vision for Detecting and Analyzing Vehicle–Pedestrian Conflicts at Signalized Intersections: Deep Neural-Based Pose Estimation Algorithms

Over the past decade, researchers have advanced traffic monitoring using surveillance cameras, unmanned aerial vehicles (UAVs), loop detectors, LiDAR, microwave sensors, and sensor fusion. These technologies effectively detect and track veh...

Artificial Intelligence in Routine IVF Practice

Background: Artificial Intelligence (AI) has emerged as a transformative tool in in vitro fertilization (IVF) as it has done in other sectors. In IVF, AI offers advancements in embryo selection, treatment personalization, and outcome predic...

Autonomous Driving Roadway Feature Interpretation Using Integrated Semantic Analysis and Domain Adaptation

Lane detection is fundamental to autonomous driving, yet remains challenging in complex environments with occlusions, ambiguous markings, and varied lighting. We introduce the Global Semantic Enhancement Network (GSENet), a groundbreaking f...

Automated Burr Quality Classification in Drilling of AA6013 Aluminum Alloy Using YOLOv10n

Burr formation during drilling of aluminum alloys can compromise hole quality and assembly accuracy, increasing the need for secondary deburring operations. The time-consuming and operator-dependent nature of manual visual inspection create...

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

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 ...

Artificial Intelligence in Laryngology: Applications for Voice, Swallowing, and Endoscopic Assessment.

Automated estimation of cementitious sorptivity via computer vision

Monitoring water uptake in cementitious systems is crucial to assess their durability against corrosion, salt attack, and freeze-thaw damage. However, gauging absorption currently relies on labor-intensive and infrequent weight measurements...

Techno-economic and environmental assessment of next-generation battery-powered farming robots.