Results 111 to 120 of about 3,148,832 (339)

An inference mechanism for question answering

Journal of Computer Science and Technology, 2007
This work describes an inference mechanism applied to AliQAn Question Answering System for Spanish in open domain. AliQAn is based fundamentally on the use of syntactic patterns to identify the possible answers.
Sandra Roger, A. Ferrández, Sergio Ferrández, Pilar López Moreno, Jesús Peral   +4 more
doaj  

Automated classification of lay health articles using natural language processing: a case study on pregnancy health and postpartum depression

, 2023
Braja Gopal Patra, Zhaoyi Sun, Zilin Cheng, Praneet Kasi Reddy Jagadeesh Kumar, Abdullah Altammami, Yiyang Liu, Rochelle Joly, Caroline Jedlicka, Diana Delgado, Jyotishman Pathak, Yifan Peng, Yiye Zhang   +11 more
openalex   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Remote Diagnosis on Upper Respiratory Tract Infections Based on a Neural Network with Few Symptom Words—A Feasibility Study

Diagnostics
This study aims explore the feasibility of using neural network (NNs) and deep learning to diagnose three common respiratory diseases with few symptom words.
Chung-Hung Tsai, Kuan-Hung Liu, Da-Chuan Cheng   +2 more
doaj   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Detecting Pragmatic Ambiguity in Requirement Specification Using Novel Concept Maximum Matching Approach Based on Graph Network

IEEE Access
Requirements specifications written in natural language enable us to understand a program’s intended functionality, which we can then translate into operational software. At varying stages of requirement specification, multiple ambiguities emerge.
Khadija Aslam, Faiza Iqbal, Ayesha Altaf, Naveed Hussain, Monica Gracia Villar, Emmanuel Soriano Flores, Isabel De La Torre Diez, Imran Ashraf   +7 more
doaj   +1 more source

Calcium Imparts Advanced Functionalities to Silk Hydrogels for Biofabrication and Biomedical Innovation

Advanced Functional Materials, EarlyView.
The addition of calcium ions to silk fibroin enhances the hydrogel properties and, when combined with visible light crosslinking, enables compatibility with advanced light‐based fabrication techniques. Calcium ions extend the shelf‐life of silk and facilitate the fabrication of multizonal, multilayered constructs for advanced stimuli‐responsive ...
Hien A. Tran, Anton Maraldo, Chi Cong Nguyen, Trinh Thi‐Phuong Ho, Lauryn Srethbhakdi, Habib Joukhdar, Quinn van Hilst, Syamak Farajikhah, Fariba Dehghani, Thanh Nho Do, Khoon S. Lim, Jelena Rnjak‐Kovacina   +11 more
wiley   +1 more source

Punctuation Patterns in Finnegans Wake by James Joyce Are Largely Translation-Invariant

Entropy
The complexity characteristics of texts written in natural languages are significantly related to the rules of punctuation. In particular, the distances between punctuation marks measured by the number of words quite universally follow the family of ...
Krzysztof Bartnicki, Stanisław Drożdż, Jarosław Kwapień, Tomasz Stanisz   +3 more
doaj   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

Applications of Natural Language Processing in Software Traceability: A Systematic Mapping Study

, 2022
Zaki Pauzi, Andrea Capiluppi
openalex   +1 more source