Post-Anthropocene_2.0: Alternative Scenarios through Nature/Computing Coalition Applicable in Architecture by Yannis Zavoleas

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Relative Applicability of Diverse Automatic Speech Recognition Platforms for Transcription of Psychiatric Treatment Sessions by Rana Zeeshan, John Bogue, Mamoona Naveed Asghar

“…Although such models are good enough for most use cases, storing audio recordings in psychiatry complicates the data handling and adoption of ASR platforms in mental healthcare. …”
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Enhancing IoT-Based Environmental Monitoring and Power Forecasting: A Comparative Analysis of AI Models for Real-Time Applications by Md Minhazur Rahman, Md Ibne Joha, Md Shahriar Nazim, Yeong Min Jang

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Progress in the application of remote sensing for water quality and human health mapping in informal settlements of South Africa: A review by Oupa E. Malahlela, Mologadi C. Mothapo, Fhumulani I. Mathivha, Nokulunga Hlengwa

“…The use of remote sensing data has proved very effective for mapping water bodies, water quality, flood risk and water-borne diseases in parts of the world and in South Africa. …”
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SynAdult: Multimodal Synthetic Adult Dataset Generation via Diffusion Models and Neuromorphic Event Simulation for Critical Biometric Applications by Muhammad Ali Farooq, Paul Kielty, Wang Yao, Peter Corcoran

“…We propose SynAdult, a multimodal synthetic data generation framework designed to address the scarcity of diverse and privacy-compliant senior adult face datasets for biometric applications and facial analysis. …”
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Artificial Intelligence in Healthcare Applications Challenges and Opportunities for Improved Patient Outcomes by Rashid Zahraa M., Balaram Allam, Lavanya Chinthamalla, Mary P Shyamala Anto, Tiwari Mohit, P K Chidambaram

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DIFFERENTIATION OF POLYNOMIALS IN SEVERAL VARIABLES OVER GALOIS FIELDS OF FUZZY CARDINALITY AND APPLICATIONS TO REED-MULLER CODES by V. M. Deundyak, N. S. Mogilevskaya

“…On the basis of the obtained results on the differentiation and integration of polynomials, a new decoder for Reed-Muller codes of the second order is given, and a scheme for organizing the partitioned transfer of confidential data is proposed. This is a communication system in which the source data on the sender is divided into several parts and, independently of one  another,  transmitted  through  different communication channels, and then, on the receiver, the initial data is restored of the parts retrieved. …”
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Leveraging Machine Learning to Forecast Neighborhood Energy Use in Early Design Stages: A Preliminary Application by Andrea Giuseppe di Stefano, Matteo Ruta, Gabriele Masera, Simi Hoque

“…The CatBoost model was selected for its high accuracy in predicting energy consumption using minimal input data. A preliminary application to a case study in New York City showed high predictive accuracy while reducing the input needed, with R² scores of 0.88 for both cross-validation and test datasets. …”
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Enhancing Vehicle Location Prediction Accuracy with Road-Aware Rectification for Multi-Access Edge Computing Applications by Asif Mehmood, Afaq Muhammad, Faisal Mehmood, Wang-Cheol Song

“…In future 6G networks, real-time and accurate vehicular data are key requirements for enhancing the data-driven multi-access edge computing (MEC) applications. …”
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A Comprehensive Data Maturity Model for Data Pre-Analysis by Lukas Knoflach, Lin Shao, Torsten Ullrich

“…The weighted maturity model is applicable to all types of data analysis, regardless of the domain of the data.…”
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An Approach to Situational Data Integration Based on Data Service Hyperlink by Guiling Wang, Feng Zhang, Yanbo Han

“…Enlightened by web page hyperlink，a novel abstraction“data service hyperlink”for linking and integrating data was proposed.With the help of “data service hyperlink”，users can explicitly describe the relationship between data sources.Based on data service hyperlink，the approach to just-in-time data service construction was proposed to enable users integrate data while navigating data services.A data service hyperlink recommendation algorithm was also discussed to help users select proper data service hyperlink to deal with the temporary requirements.A case-study and some experiments how to build a situational data integration application based on data service hyperlink efficiently were presented.…”
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AI Thinking: a framework for rethinking artificial intelligence in practice by Denis Newman-Griffis

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Designing a mobile health platform for effective medical records management in hospitals by C. Yuvarajan, S. Nithya Priya, A. Bhoomadevi

Subjects: “…Clinical data management…”
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Use me wisely: AI-driven assessment for LLM prompting skills development by Dimitri Ognibene, Gregor Donabauer, Emily Theophilou, Cansu Koyuturk, Mona Yavari, Sathya Bursic, Alessia Telari, Alessia Testa, Raffaele Boiano, Davide Taibi, Davinia Hernandez-Leo, Udo Kruschwitz and Martin Ruskov

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A 5-Gb/s 66 dB CMOS Variable-Gain Amplifier With Reconfigurable DC-Offset Cancellation for Multi-Standard Applications by Zhiqing Liu, Yunqiu Wu, Chenxi Zhao, Johannes Benedikt, Kai Kang

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Discerning dynamics in synchrophasor data using topological data analysis by Chetan Mishra, Luigi Vanfretti, Jaime Delaree, Jr., Kevin D. Jones

“…This paper explores the application of topological data analysis (TDA) for capturing relevant dynamic behavior (modes) in ambient synchrophasor data. …”
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Data-Driven Method of Modeling Sparse Flow Field Data by WANG Hongxin, XU Degang, ZHOU Kaiwen, LI Linwen, WEN Xin

“…To solve such problem, a data-driven flow field modeling method framework is proposed, which realizes real-time reconstruction of online flow field by establishing sparse data and high-dimensional flow field mapping offline. …”
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Comprehensive review of artificial intelligence applications in renewable energy systems: current implementations and emerging trends by Chukwuebuka Joseph Ejiyi, Dongsheng Cai, Dara Thomas, Sandra Obiora, Emmanuel Osei-Mensah, Caroline Acen, Francis O. Eze, Francis Sam, Qingxian Zhang, Olusola O. Bamisile

“…This study reviews the current and future applications of Artificial Intelligence in renewable energy, highlighting its transformative role in enhancing the efficiency, reliability, and scalability of renewable energy systems. …”
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Application of big data-based appropriate Traditional Chinese Medicine nursing techniques (基于大数据的中医护理适宜技术应用现状) by LUN Jun (陆俊), ZHANG Chengrui (张呈蕊), XING Ying (邢滢), DONG Qiuting (董秋婷), LUAN Wei (栾伟)

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A Comparative Performance Analysis of Locally Deployed Large Language Models Through a Retrieval-Augmented Generation Educational Assistant Application for Textual Data Extraction by Amitabh Mishra, Nagaraju Brahmanapally

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