Construction of Facial Expression Recognition Technology of Intelligent Service Robot Based on Nanofiber Flexible Wearable Electronic Skins by Feigao Li, Chenyang Li, Yue Liu

“…In recent years, deep processing has led to outstanding gains in numerous domains, including robotics, computer graphics, and natural language processing. Therefore, this article applies a popular recognition algorithm based on deep learning, combined with a nanofiber flexible wearable electronic skin, and applies it to the field of facial expression recognition. …”
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Medical language model specialized in extracting cardiac knowledge by Hansle Gwon, Jiahn Seo, Seohyun Park, Young-Hak Kim, Tae Joon Jun

“…Abstract The advent of the Transformer has significantly altered the course of research in Natural Language Processing (NLP) within the domain of deep learning, making Transformer-based studies the mainstream in subsequent NLP research. …”
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Machine Learning and Data Science in Social Sciences: Methods, Applications, and Future Directions by Elias Dritsas, Maria Trigka

“…This survey examines the application of key AI techniques, particularly machine learning (ML), natural language processing (NLP), network science, and explainable AI (XAI), in addressing domain-specific challenges in empirical research. …”
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Electronic Health Record classification and analysis using NLP Techniques by Himavamshi K., Tejaswini D., Sethi Gaurav, Anusuya Devi V.S, Pavani P., Hariharan Shanmugasundaram

“…This paper presents an automated system for the classification and analysis of Electronic Health Records (EHRs) using Natural Language Processing (NLP) techniques. The proposed solution integrates text extraction from PDFs and NLP methods to identify and classify EHR content effectively. …”
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QnA Chatbot with Mistral 7B and RAG method: Traffic Law Case Study by Muhammad Roiful Anam, Agus Subhan Akbar, Heru Saputro

“…Mistral 7B is a language model designed to achieve high efficiency and performance in handling Natural Language Processing (NLP). This research will evaluate the model's effectiveness in legal data processing using the Retrieval-Augmented Generation (RAG) method, focusing on road traffic and transportation law No 22/2009. …”
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Recurrent neural networks as neuro-computational models of human speech recognition. by Christian Brodbeck, Thomas Hannagan, James S Magnuson

“…While RNNs can simulate several key behavioral observations about human speech and language processing, it is unknown whether RNNs also develop computational dynamics that resemble human neural speech processing. …”
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Knowledge Distribution in German Drama by Melanie Andresen, Benjamin Krautter, Janis Pagel, Nils Reiter

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Survey of artificial intelligence data security and privacy protection by Kui REN, Quanrun MENG, Shoukun YAN, Zhan QIN

“…Artificial intelligence and deep learning algorithms are developing rapidly.These emerging techniques have been widely used in audio and video recognition, natural language processing and other fields.However, in recent years, researchers have found that there are many security risks in the current mainstream artificial intelligence model, and these problems will limit the development of AI.Therefore, the data security and privacy protection was studied in AI.For data and privacy leakage, the model output based and model update based problem of data leakage were studied.In the model output based problem of data leakage, the principles and research status of model extraction attack, model inversion attack and membership inference attack were discussed.In the model update based problem of data leakage, how attackers steal private data in the process of distributed training was discussed.For data and privacy protection, three kinds of defense methods, namely model structure defense, information confusion defense and query control defense were studied.In summarize, the theoretical foundations, classic algorithms of data inference attack techniques were introduced.A few research efforts on the defense techniques were described in order to provoke further research efforts in this critical area.…”
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The geometry of meaning: evaluating sentence embeddings from diverse transformer-based models for natural language inference by Mohammed Alsuhaibani

“…Natural language inference (NLI) is a fundamental task in natural language processing that focuses on determining the relationship between pairs of sentences. …”
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A Systematic Review of Deep Learning Approaches to Educational Data Mining by Antonio Hernández-Blanco, Boris Herrera-Flores, David Tomás, Borja Navarro-Colorado

“…Deep Learning is a machine learning method based on neural network architectures with multiple layers of processing units, which has been successfully applied to a broad set of problems in the areas of image recognition and natural language processing. This paper surveys the research carried out in Deep Learning techniques applied to EDM, from its origins to the present day. …”
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Detecting and Explaining Postpartum Depression in Real-Time with Generative Artificial Intelligence by Silvia García-Méndez, Francisco de Arriba-Pérez

“…Mainly, our work contributes to an intelligent PPD screening system that combines Natural Language Processing, Machine Learning (ML), and Large Language Models (LLMS) toward an affordable, real-time, and noninvasive free speech analysis. …”
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Exploring BERT for Aspect-based Sentiment Analysis in Portuguese Language by Émerson Philippe Lopes, Larissa Freitas, Gabriel Gomes, Gerônimo Lemos, Luiz Otávio Hammes, Ulisses B. Corrêa

“…Aspect-Based Sentiment Analysis (ABSA) is a Natural Language Processing (NLP) task that extracts referred aspects from text and assigns polarities to opinions about those aspects. …”
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Artificial Intelligence by Augustus Orowhigo ATUBI

“…The robust growth of machine learning algorithms supported by various technologies like internet of things, robotic process automation, computer vision, natural language processing have enabled the growth of Al. In this paper, efforts are being made to explore some of the innovative Al technologies used in the transportation industry. …”
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Traffic Incident Duration Prediction: A Systematic Review of Techniques by Artur Grigorev, Adriana-Simona Mihaita, Fang Chen

“…Future research directions proposed include the following: (1) development of data fusion models that integrate heterogeneous datasets of incident reports for enhanced predictive modeling; (2) utilization of natural language processing (NLP) to extract contextual information from textual incident reports; and (3) implementation of advanced ML pipelines that incorporate anomaly detection, hyperparameter optimization, and sophisticated feature selection techniques. …”
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Providing Definitive Learning Direction for Relation Classification System by Pengda Qin, Weiran Xu, Jun Guo

“…Deep neural network has adequately revealed its superiority of solving various tasks in Natural Language Processing, especially for relation classification. …”
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Enchancing Enhancing Medical Named Entity Recognition with Ensemble Voting of BERT-Based Models on BC5CDR by Fadhli Faqih Maulana, Abu Salam

“…However, the primary challenge in managing this data is the vast volume of unstructured text, which requires Natural Language Processing (NLP) techniques for automatic information extraction. …”
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Emotionally Intelligent Chatbots: A Systematic Literature Review by Ghazala Bilquise, Samar Ibrahim, Khaled Shaalan

“…Researchers are leveraging Artificial Intelligence (AI) and Natural Language Processing (NLP) techniques to impart emotional intelligence capabilities in chatbots. …”
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vFerryman: An Artificial Intelligence-Driven Personalized Companion Providing Calming Visuals and Social Interaction for Emotional Well-Being by Wei-Ji Wang

“…The system integrates advanced natural language processing and machine learning technologies into the CrewAI framework. …”
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Sign language recognition method based on deep learning by He Mu

“…Sign language recognition, as an interdisciplinary field involving computer vision, pattern recognition, and natural language processing, holds profound research significance and extensive application value. …”
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Emerging Technologies of Natural Language-Enabled Chatbots: A Review and Trend Forecast Using Intelligent Ontology Extraction and Patent Analytics by Min-Hua Chao, Amy J. C. Trappey, Chun-Ting Wu

“…Natural language processing (NLP) is a critical part of the digital transformation. …”
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