Explainable Artificial Intelligence-Based Diseases Diagnosis From Unstructured Clinical Data and Decision Making Using Blockchain Technologies by Sumathi M., S. P. Raja

“…An explainable artificial intelligence-based disease diagnosis and blockchain-based decision-making system are presented in this work to address these challenges and improve patient care. A natural language processing system analyzes the unstructured data to identify different types of data and explainable AI diagnosis disease with justification and reason for the prediction. …”
Get full text

GDPR-oriented intelligent checking method of privacy policies compliance by Xin LI, Peng TANG, Xiheng ZHANG, Weidong QIU, Hong HUI

“…The implementation of the EU’s General Data Protection Regulation (GDPR) has resulted in the imposition of over 300 fines since its inception in 2018.These fines include significant penalties for prominent companies like Google, which were penalized for their failure to provide transparent and comprehensible privacy policies.The GDPR, known as the strictest data protection laws in history, has made companies worldwide more cautious when offering cross-border services, particularly to the European Union.The regulation's territorial scope stipulates that it applies to any company providing services to EU citizens, irrespective of their location.This implies that companies worldwide, including domestic enterprises, are required to ensure compliance with GDPR in their privacy policies, especially those involved in international operations.To meet this requirement, an intelligent detection method was introduced.Machine learning and automation technologies were utilized to automatically extract privacy policies from online service companies.The policies were converted into a standardized format with a hierarchical structure.Through natural language processing, the privacy policies were classified, allowing for the identification of relevant GDPR concepts.In addition, a constructed GDPR taxonomy was used in the detection mechanism to identify any missing concepts as required by GDPR.This approach facilitated intelligent detection of GDPR-oriented privacy policy compliance, providing support to domestic enterprises while they provided cross-border services to EU users.Analysis of the corpus samples reveals the current situation that mainstream online service companies generally fail to meet GDPR compliance requirements.…”
Get full text

Consistency of expert product reviews: an application to wine guides by Gabriel I. Penagos-Londoño, Felipe Ruiz-Moreno, Ricardo Sellers-Rubio, Salvador Del Barrio-García, Ana B. Casado-Díaz

“…Sentiment analysis based on natural language processing techniques was used to compare quantitative and qualitative reviews between experts. …”
Get full text

Bridging the Gap: How AI & Technology are Reshaping the Landscape of Humanity and Social Sciences by Mohammed Otair

“…It examines the growing number of social scientists utilizing AI in their research, the emergence of new research methods utilizing machine learning and natural language processing, and the evolving landscape of data collection and analysis in the social sciences. …”
Get full text

Towards Analysis of Covariance Descriptors via Bures–Wasserstein Distance by Huajun Huang, Yuexin Li, Shu-Chin Lin, Yuyan Yi, Jingyi Zheng

“…Among various classifiers used in BCI, those directly classifying covariance matrices using Riemannian geometry find broad applications not only in BCI, but also in diverse fields such as computer vision, natural language processing, domain adaption, and remote sensing. …”
Get full text

The CLIP - GPT Image Captioning Model Integrated with Global Semantics by TAO Rui, REN Honge, CAO Haiyan

“…Cross-modal semantic consistency is the core issue of shared subspace embedding when bridging pre-training models in the fields of computer vision and natural language processing to construct image captioning models. …”
Get full text

LayerFold: A Python library to reduce the depth of neural networks by Giommaria Pilo, Nour Hezbri, André Pereira e Ferreira, Victor Quétu, Enzo Tartaglione

“…Large-scale models are the backbone of Computer Vision and Natural Language Processing, and their generalizability allows for transfer learning and deployment in different scenarios. …”
Get full text

Modern physics courses: Understanding the content taught in the U.S. by Alexis Buzzell, Timothy J. Atherton, Ramón Barthelemy

“…Due to the size of the corpus being large enough for natural language processing (NLP) to provide significant insight into the curricular content of a course, but still being small enough for human analysis to remain feasible, both NLP and human-analysis methods were utilized. …”
Get full text

Topic modeling-based prediction of software defects and root cause using BERTopic, and multioutput classifier by Devi Priya Gottumukkala, Prasad Reddy P.V.G.D, S. Krishna Rao

“…This study introduces a new angle for software defect prediction (SDP), utilizing advanced natural language processing (NLP) and machine learning (ML) techniques. …”
Get full text

Research on Fine-Tuning Optimization Strategies for Large Language Models in Tabular Data Processing by Xiaoyong Zhao, Xingxin Leng, Lei Wang, Ningning Wang

“…Recent advancements in natural language processing (NLP) have been significantly driven by the development of large language models (LLMs). …”
Get full text

Effects of Early Bilingual Experience with a Tone and a Non-Tone Language on Speech-Music Integration. by Salomi S Asaridou, Peter Hagoort, James M McQueen

“…We investigated music and language processing in a group of early bilinguals who spoke a tone language and a non-tone language (Cantonese and Dutch). …”
Get full text

Crowdsourcing geographic information for terrorism-related disaster awareness and mitigation: perspectives and challenges by Michaelmary Chukwu, Xiao Huang, Siqin Wang, Di Yang, Xinyue Ye

“…Despite the prevalence of natural language processing for data mining, the majority of studies did not incorporate ML algorithms in their analyses. …”
Get full text

Image captioning deep learning model using ResNet50 encoder and hybrid LSTM–GRU decoder optimized with beam search by P. V. Kavitha, V. Karpagam

“…Image captioning is a fascinating and fast-evolving research project that integrates two domains: Natural Language Processing and Computer Vision. Creating appropriate captions is a difficult task due to the many activities portrayed in the backdrop image. …”
Get full text

Exploring factors affecting patient satisfaction in online healthcare: A machine learning approach grounded in empathy theory by Junbai Chen, Guoping Wu, Tong Zhang, Butian Zhao, Ruojia Wang, Xing Zhai, Fengying Guo

“…This study, grounded in empathy theory, employs natural language processing and machine learning algorithms to explore the factors influencing patient satisfaction in online healthcare services, particularly the impact of doctor–patient empathy. …”
Get full text

Evolving Strategies in Machine Learning: A Systematic Review of Concept Drift Detection by Gurgen Hovakimyan, Jorge Miguel Bravo

“…This review employs an innovative method integrating the advanced natural language processing model T5 (Text-to-Text Transfer Transformer) to enhance the accuracy and efficiency of screening and data extraction processes. …”
Get full text

From structure to meaning: a lexical semantic framework for Urdu compounding by Tahir Saleem, Shumaila Ahmad

“…These findings have significant implications for natural language processing (NLP), especially in enhancing machine translation and text analysis tools for Urdu. …”
Get full text

The Effect of Various Text Representation Methods for Sentiment Analysis on Movie Review Data with Different Machine Learning Methods by Veysel Göç, Muhammet Sinan Başarslan

“…In this study, we explore the potential of machine learning (ML) models after different text representation methods on the balanced IMDB dataset, which is widely regarded as a gold standard in sentiment analysis, one of the Natural Language processing (NLP) tasks. On the open source IMDB movie reviews dataset, we first undertake data cleaning and text representation with data preprocessing steps. …”
Get full text

Prescribing the Future: The Role of Artificial Intelligence in Pharmacy by Hesham Allam

“…Systematic data scoping incorporated diverse perspectives from medical, pharmaceutical, and computer science domains, leveraging natural language processing for trend analysis and thematic content coding to identify patterns, challenges, and emerging applications. …”
Get full text

“You can’t categorize lived experiences”: Understanding youth engagement in mobile health in an integrated youth services setting by Xiaoxu Ding, Liisa Holsti, Julia Schmidt, Natalie Parde, Brodie Sakakibara, Skye Barbic

Get full text

Vision Transformers for Image Classification: A Comparative Survey by Yaoli Wang, Yaojun Deng, Yuanjin Zheng, Pratik Chattopadhyay, Lipo Wang

“…Transformers were initially introduced for natural language processing, leveraging the self-attention mechanism. …”
Get full text