Cross-Modal Insights into Urban Green Spaces Preferences by Jiayi Yan, Fan Zhang, Bing Qiu

“…This study explores a cross-modal methodology that integrates natural language processing (NLP) and deep learning techniques to analyze text and image data collected from public reviews of 19 urban parks in Nanjing. …”
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The Application Status and Trends of Data-Intelligence Technology in the Diagnosis of Lysosomal Storage Diseases by DU Xinyu, WANG Shengfeng, XIE Jing, GUO Jian, ZHANG Shuyang

“…A qualitative analysis was performed, categorizing and summarizing research based on the types of digital-intelligence technologies employed, and exploring future development trends.ResultsThe analysis revealed that digital-intelligence technologies, particularly in areas such as big data storage and management, data mining and analytics, machine learning, natural language processing, and computer vision, held significant potential for early screening and diagnosis of LSD. …”
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Artificial intelligence driven innovations in biochemistry: A review of emerging research frontiers by Mohammed Abdul Lateef Junaid

“…Key AI techniques—such as machine learning algorithms, natural language processing, and AI-based molecular modeling—are discussed. …”
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LSTM-Based NLP Chatbot for Fish E-Marketplace at BBI Cangkiran Mijen by Tri Agus Wahyudi, Riana Defi Mahadji Putri, Ulfah Mediaty Arief, Vera Noviana Sulistyawan

“…To address these issues, this study aims to develop a web-based fish e-marketplace system integrated with a natural language processing (NLP) chatbot using the Long Short-Term Memory (LSTM) algorithm. …”
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Opportunities and Challenges of Foundation Models in Industrial Manufacturing by Mohammed Ayyat, Mohamed Osman, Tamer Nadeem

“…In this paper, we explore the complexities of Foundation Models, delving into their broad capabilities that span from natural language processing to advanced robotic manipulation. We also examine their potential industrial applications, recognizing the profound impact they could exert across sectors. …”
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Integrating artificial intelligence in unmanned vehicles: navigating uncertainties, risks, and the path forward for the fourth industrial revolution by Md Altab Hossin, Songtao Yin, Ruibo Dan, Lie Chen

“…First, we extract the hidden patterns of uncertainty and risk associated with AI and then provide rational suggestions for the development of AI based on UVs by using natural language processing and data visualization techniques. Results show that real-time detection, processing, prediction, and decision for UVs are of utmost importance and need to be developed with the integration of AI for greater adoption. …”
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A review of neuro-symbolic AI integrating reasoning and learning for advanced cognitive systems by Uzma Nawaz, Mufti Anees-ur-Rahaman, Zubair Saeed

“…The study analyzes their impact on the advancement of cognitive systems in natural language processing, robotics, and decision-making. The paper examines the challenges faced by neuro-symbolic AI, such as scalability, integration with multimodal data, and maintaining interpretability without compromising efficiency. …”
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Do people express and pay more attention to positive or negative information in stock forums? A big data analysis by Yajing Li, Peipei An, Jibo He

“…This study aims to fill this gap by using big data analysis, dictionary-based natural language processing, and engagement indicators to analyze nearly 1.3 million user posts from East Money Stock Bar, the largest stock forum in China. …”
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Boosting Arabic text classification using hybrid deep learning approach by Eman Alnagi, Rawan Ghnemat, Qasem Abu Al-Haija

“…Abstract As a significant natural language processing task (NLP), Arabic text classification is essential for efficiently processing and analyzing Arabic language content in various digital forms, such as information retrieval, sentiment analysis, and topic modeling. …”
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Deforestation Regulation Open Platform (DROP): An AI-Driven Open-Source Platform for Economically Sustainable Coffee Production and European Union Deforestation Regulation (EUDR) C... by Mirko Ilowski

“…The platform’s development involves collaboration with a globally renowned advisory board and employs experts in AI, computer vision, natural language processing, software development, and cybersecurity. …”
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Exploring the Conditional ESG Payoff of AI Adoption: The Roles of Learning Capability, Digital TMT, and Operational Slack by Linlin Liu, Xiaohong Wang, Liqing Tang, Zhaoxuan Sun, Xue Wang

“…Using a unique dataset constructed by integrating AI adoption announcements extracted through natural language processing from Factiva and ESG scores obtained from Bloomberg, this study analyzes 8469 firm-year observations from 941 publicly listed manufacturing firms in North America between 2015 and 2022. …”
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A Survey on Data Mining for Data-Driven Industrial Assets Maintenance by Eduardo Coronel, Benjamín Barán, Pedro Gardel

“…It examines 534 references from 1995 to 2023, along with three additional articles from 2024 on natural language processing and large language models in industrial maintenance. …”
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Games with a Purpose for Part-of-Speech Tagging and the Impact of the Applied Game Design Elements on Player Enjoyment and Games with a Purpose Preference by Rosa Lilia Segundo Díaz, Gustavo Rovelo Ruiz, Miriam Bouzouita, Véronique Hoste, Karin Coninx

“…Linguistic tasks such as Part-of-Speech (PoS) tagging can be tedious, but are crucial for the development of Natural Language Processing (NLP) tools. Games With A Purpose (GWAPs) aim to reduce the monotony of the task for native speakers and non-experts who contribute to crowdsourcing projects. …”
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ChatGPT in education: Its value, accuracy, and regulation by Angelo Frank Pacala

“…It is a natural language processing technology that uses machine learning algorithms to generate human-like responses to various queries and conversations in real time. …”
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AI-Assisted Educational Framework for Floodplain Manager Certification: Enhancing Vocational Education and Training Through Personalized Learning by Ramteja Sajja, Vinay Pursnani, Yusuf Sermet, Ibrahim Demir

“…Leveraging advanced natural language processing and machine learning techniques, this tool offers personalized learning experiences, interactive question-and-answer sessions, and real-time feedback to aspiring floodplain managers. …”
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Neurobiological Abnormalities in the First Few Years of Life in Individuals Later Diagnosed with Autism Spectrum Disorder: A Review of Recent Data by C. S. Allely, C. Gillberg, P. Wilson

“…Various brain regions are discussed including the amygdala, cerebellum, frontal cortex, and lateralised abnormalities of the temporal cortex during language processing. This review discusses studies investigating head circumference, electrophysiological markers, and interhemispheric synchronisation. …”
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ARTIFICIAL INTELLIGENCE AND FUTURE BUSINESS PROSPECTS': A GENERAL ANALYSIS by Anurag Hazarika, Samikshya Madhukullya, Anwesha Hazarika

“…It is anticipated that the integration of AI technologies, such as robotic process automation, natural language processing, and machine learning, would result in considerable cost reductions and productivity increases. …”
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Discriminative, generative artificial intelligence, and foundation models in retina imaging by Paisan Ruamviboonsuk, Niracha Arjkongharn, Nattaporn Vongsa, Pawin Pakaymaskul, Natsuda Kaothanthong

“…Vision transformers (ViT), inspired by the transformer architecture in natural language processing, has emerged as useful techniques for discriminating retinal images. …”
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Culturing Participatory Culture to Promote Gen-Z EFL Learners’ Reading Proficiency: A New Horizon of TBRT with Web 2.0 Tools in Tertiary Level Education by Parvin Murshida, Muftah Muneera

“…Findings indicate that blogs and discussion boards significantly enhance interaction and collaboration, leading to improved language processing and knowledge production. These results emphasize the potential of Web 2.0 tools in TBLT to foster equitable reading skills. …”
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Scaling hermeneutics: a guide to qualitative coding with LLMs for reflexive content analysis by Zackary Okun Dunivin

“…As large language models (LLMs) become increasingly adept at nuanced language tasks, questions arise about whether—and how—they can assist in large-scale coding without eroding the interpretive depth that distinguishes qualitative analysis from traditional machine learning and other quantitative approaches to natural language processing. In this paper, we present a hybrid approach that preserves hermeneutic value while incorporating LLMs to scale the application of codes to large data sets that are impractical for manual coding. …”
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