No-Code Edge Artificial Intelligence Frameworks Comparison Using a Multi-Sensor Predictive Maintenance Dataset by Juan M. Montes-Sánchez, Plácido Fernández-Cuevas, Francisco Luna-Perejón, Saturnino Vicente-Diaz, Ángel Jiménez-Fernández

“…Magnetometer data were used for test 1, and accelerometer data were used for test 2. …”
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ABERT: Adapting BERT model for efficient detection of human and AI-generated fake news by Jawaher Alghamdi, Yuqing Lin, Suhuai Luo

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Harnessing the power of language models in cybersecurity: A comprehensive review by Ramanpreet Kaur, Tomaž Klobučar, Dušan Gabrijelčič

“…These models offer scalable, adaptable, and round-the-clock defenses against evolving cyber threats. By generating human-like text, processing data efficiently, and providing actionable responses, language models bridge the gap between automated systems and human expertise for different cybersecurity applications. …”
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Evaluating GPT-4 as an academic support tool for clinicians: a comparative analysis of case records from the literature by B.L. Fabre, M.A.F. Magalhaes Filho, P.N. Aguiar, Jr, F.M. da Costa, B. Gutierres, W.N. William, Jr, A. Del Giglio

“…Background: Artificial intelligence (AI) and natural language processing (NLP) advancements have led to sophisticated tools like GPT-4.0, allowing clinicians to explore its utility as a health care management support tool. …”
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Shipborne comparison of infrared and passive microwave radiometers for sea surface temperature observations by G. Gacitúa, J. Lorentsen Høyer, S. Schmidl Søbjærg, H. Shi, S. Skarpalezos, I. Karagali, E. Alerskans, C. Donlon

“…The data analysis primarily focused on evaluating data variability, identifying discrepancies between IR and PMW SST, and assessing the overall uncertainty in the retrieval process. …”
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Global Methane Budget 2000–2020 by M. Saunois, A. Martinez, B. Poulter, Z. Zhang, Z. Zhang, P. A. Raymond, P. Regnier, J. G. Canadell, R. B. Jackson, P. K. Patra, P. K. Patra, P. Bousquet, P. Ciais, E. J. Dlugokencky, X. Lan, X. Lan, G. H. Allen, D. Bastviken, D. J. Beerling, D. A. Belikov, D. R. Blake, S. Castaldi, M. Crippa, B. R. Deemer, F. Dennison, G. Etiope, G. Etiope, N. Gedney, L. Höglund-Isaksson, M. A. Holgerson, P. O. Hopcroft, G. Hugelius, A. Ito, A. K. Jain, R. Janardanan, M. S. Johnson, T. Kleinen, P. B. Krummel, R. Lauerwald, T. Li, X. Liu, K. C. McDonald, J. R. Melton, J. Mühle, J. Müller, F. Murguia-Flores, Y. Niwa, Y. Niwa, S. Noce, S. Pan, R. J. Parker, C. Peng, C. Peng, M. Ramonet, W. J. Riley, G. Rocher-Ros, J. A. Rosentreter, M. Sasakawa, A. Segers, S. J. Smith, S. J. Smith, E. H. Stanley, J. Thanwerdas, J. Thanwerdas, H. Tian, A. Tsuruta, F. N. Tubiello, T. S. Weber, G. R. van der Werf, D. E. J. Worthy, Y. Xi, Y. Yoshida, W. Zhang, W. Zhang, B. Zheng, B. Zheng, Q. Zhu, Q. Zhu, Q. Zhuang

“…Following Saunois et al. (2016, 2020), we present here the third version of the living review paper dedicated to the decadal CH<span class="inline-formula">₄</span> budget, integrating results of top-down CH<span class="inline-formula">₄</span> emission estimates (based on in situ and Greenhouse Gases Observing SATellite (GOSAT) atmospheric observations and an ensemble of atmospheric inverse-model results) and bottom-up estimates (based on process-based models for estimating land surface emissions and atmospheric chemistry, inventories of anthropogenic emissions, and data-driven extrapolations). …”
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Blockchain technology to improve traceability in the coffee supply chain: A systematic literature review by Christian Gómez, Benoit Garbinato

“…There are also challenges at the management level, like the necessity of agreements for traceability processes, data governance, willingness to invest and pay, education, and support to deploy the technology on farms. …”
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Synergizing human insight and machine learning: A dual-lens approach to uncovering healthcare research and innovation outcomes by Stijn Horck, Sanne Steens, Jermain Kaminski

“…Many healthcare organisations have extensive documentation detailing the processes behind their various research and innovation projects. …”
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How can we predict transportation stock prices using artificial intelligence? Findings from experiments with Long Short-Term Memory based algorithms by Dinar Ajeng Kristiyanti, Willibrordus Bayu Nova Pramudya, Samuel Ady Sanjaya

“…The research primarily aims to forecast stock prices in Indonesia's transportation sector, utilizing data mining techniques within the Cross Industry Standard Process for Data Mining (CRISP-DM) framework, which includes stages such as business understanding, data preparation, modeling, evaluation, and deployment. …”
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STATISTICAL ANALYSIS OF SOME EXPERIMENTAL FATIGUE TESTS RESULTS by Adrian Stere PARIS, Gheorghe AMZA, Claudiu BABIŞ, Dan Niţoi

“…The paper details the results of processing the fatigue data experiments to find the regression function. …”
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Fibre tracing in biomedical images: An objective comparison between seven algorithms. by Youssef Arafat, Cristina Cuesta-Apausa, Esther Castellano, Constantino Carlos Reyes-Aldasoro

“…In biomedical applications, the analysis of traces of vasculature, nerves or fibres of the extracellular matrix can help characterise processes like angiogenesis or the effect of a certain treatment. …”
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Digital materiality by Christian STEIN

“…This approach revolutionized natural language processing, enabling models to understand and generate human-like text by calculating complex contextual meanings. …”
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A Study on some Properties of Fourier Integrals Based on Neutrosophic Function by Prasen Boro, Bhimraj Basumatary

“…Fourier analysis has been used in signal processing and digital image processing for the analysis of a single image as a two-dimensional wave form, and many other type of form like Quantum mechanics, Signal processing, Image Pro cessing. …”
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Artificial intelligence for modeling and understanding extreme weather and climate events by Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Adrian Höhl, Andrea Castelletti, Aytac Pacal, Claire Robin, Francesco Martinuzzi, Ioannis Papoutsis, Ioannis Prapas, Jorge Pérez-Aracil, Katja Weigel, Maria Gonzalez-Calabuig, Markus Reichstein, Martin Rabel, Matteo Giuliani, Miguel D. Mahecha, Oana-Iuliana Popescu, Oscar J. Pellicer-Valero, Said Ouala, Sancho Salcedo-Sanz, Sebastian Sippel, Spyros Kondylatos, Tamara Happé, Tristan Williams

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Diabetic Retinopathy Detection Using DL-Based Feature Extraction and a Hybrid Attention-Based Stacking Ensemble by Sanjana Rajeshwar, Shreya Thaplyal, Anbarasi M., Siva Shanmugam G.

“…The methodology involves data acquisition from a diverse dataset, data augmentation to enrich training data, and a multistep image processing pipeline. …”
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A high performance approach to ensure image security during transmission by Adithya S Nair, Charvi Upreti, Advaith Arun, Renuka Devi S

“…In fields like healthcare, finance, and law, protecting data is crucial. …”
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DEVELOPING A DIGITALTWIN MODEL FOR CORN, WHEAT AND RAPESEED YIELDS COMPUTATION by Catalin CHITU, Ilinca IMBREA, Stefan BATRINA, Florin IMBREA

“…Frequent updates based on real-time data enhance accuracy. Aside essential water management crop flow, the model is processing historical data related with nutrients like nitrogen (N), phosphorus (P), and potassium (K) elements are vital for plant growth and health, and their optimal balance can significantly impact corn yield. …”
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A Novel Vision Sensing System for Tomato Quality Detection by Satyam Srivastava, Sachin Boyat, Shashikant Sadistap

“…Tomato samples have been collected from local market and data acquisition has been performed for data base preparation and various processing steps. …”
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Psycho-physiologic emergentism; four minds in a body by David L. Rowland, Ion G. Motofei

“…From a psychological standpoint, abstract/non-material data are an intrinsic part of the mind, intervening to a large extent in reasoning and decision making processes. …”
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Rapid structural analysis of bacterial ribosomes in situ by Barrett M. Powell, Tyler S. Brant, Joseph H. Davis, Shyamal Mosalaganti

“…Abstract Rapid structural analysis of purified proteins and their complexes has become increasingly common thanks to key methodological advances in cryo-electron microscopy (cryo-EM) and associated data processing software packages. In contrast, analogous structural analysis in cells via cryo-electron tomography (cryo-ET) remains challenging due to critical technical bottlenecks, including low-throughput sample preparation and imaging, and laborious data processing methods. …”
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