A big data analysis algorithm for massive sensor medical images by Sarah A. Alzakari, Nuha Alruwais, Shaymaa Sorour, Shouki A. Ebad, Asma Abbas Hassan Elnour, Ahmed Sayed

“…We transfer the data, take care of missing values, and sanitize it using the pre-processing mechanism. …”
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New and Existing Approaches Reviewing of Big Data Analysis with Hadoop Tools by Watheq Ghanim Mutasher, Abbas Fadhil Aljuboori

“… Everybody is connected with social media like (Facebook, Twitter, LinkedIn, Instagram…etc.) that generate a large quantity of data and which traditional applications are inadequate to process. …”
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Feedstock Characterization for Enhanced Heat Recovery from Composting Processes: A Review by Kareem Osama Fakhri Al-Twal, Giovanni Beggio, Marco Schiavon, Maria Cristina Lavagnolo

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Time Series Data Generation Method with High Reliability Based on ACGAN by Fang Liu, Yuxin Li, Yuanfang Zheng

“…In the process of big data processing, especially in fields like industrial fault diagnosis, there is often the issue of small sample sizes. …”
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Adaptability evaluation of the software for transient process simulation of supercritical CO2 pipelines by Xinyuan MA, Xin OUYANG, Jianlu ZHU, Junwen CHEN, Luoqian LIU, Teng YANG, Guangchun SONG

“…Objective Transient processes like leakage and commissioning in CO2 pipeline operation pose simulation challenges due to the unique physical properties and phase behavior of CO2. …”
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Deep Learning-Based Interpolation for Ground Penetrating Radar Data Reconstruction by Ziyang Zhou, Meijia Huang, Hong Xu, Xinyu Yang, Yinpeng Li, Zhuo Jia

“…Whether with synthetic or real-world data, deep learning provides a reliable solution for GPR data processing.…”
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Beliefs of Chilean University English Teachers: Uncovering Their Role in the Teaching and Learning Process by Díaz Larenas Claudio, Alarcón Hernández Paola, Vásquez Neira Andrea, Pradel Suárez Boris, Ortiz Navarrete Mabel

“…Through a qualitative research design, the data collected from interviews and journals were analyzed, triangulated, and categorized based on semantic content analysis. …”
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Generative AI-Enhanced Cybersecurity Framework for Enterprise Data Privacy Management by Geeta Sandeep Nadella, Santosh Reddy Addula, Akhila Reddy Yadulla, Guna Sekhar Sajja, Mohan Meesala, Mohan Harish Maturi, Karthik Meduri, Hari Gonaygunta

“…This study presents a Generative AI-Enhanced Cybersecurity Framework designed to strengthen enterprise data privacy management while improving threat detection accuracy and scalability. …”
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Exploring the role of topography in the sputtering process of tungsten by GyM helium plasma by Andrea Uccello, Gabriele Alberti, Matteo Pedroni, Anna Cremona, Francesco Ghezzi, Miriam Saleh, Espedito Vassallo, Luigi Bana, David Dellasega, Matteo Passoni, Carlo Tuccari, Davide Vavassori, Antti Hakola, Marcin Rasinski, Juri Romazanov, the GyM Team

“…The effective sputtering yield ( $Y_{\mathrm{eff}}$ ) of tungsten, derived from mass and thickness loss data, was consistently lower than predictions from simulations by up to an order of magnitude, likely due to the dynamic retention of helium on the tungsten surface. …”
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Unveiling Physical Conditions and Star Formation Processes in the G47 Filamentary Cloud by O. R. Jadhav, L. K. Dewangan, A. Haj Ismail, N. K. Bhadari, A. K. Maity, Ram Kesh Yadav, Moustafa Salouci, Patricio Sanhueza, Saurabh Sharma

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Data Confidentiality in Artificial Intelligence-Assisted Medicine: The Main Ethical Issue by Raluca DUMACHE, Camelia MURESAN, Marina Adriana MERCIONI, Alin IONESCU, Nina IVANOVIC, Alexandra ENACHE

“…Processing enormous volumes of private patient data is part of the use of AI in healthcare, which raises questions about data breaches, misuse, and illegal access. …”
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Anomaly Detection in Nuclear Power Production Based on Neural Normal Stochastic Process by Linyu Liu, Shiqiao Liu, Shuan He, Kui Xu, Yang Lan, Huajian Fang

“…To address this issue, we propose an anomaly detection method for nuclear power data: Neural Normal Stochastic Process (NNSP). This method does not require imputing missing sensor data. …”
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Using machine learning and natural language processing in triage for prediction of clinical disposition in the emergency department by Yu-Hsin Chang, Ying-Chen Lin, Fen-Wei Huang, Dar-Min Chen, Yu-Ting Chung, Wei-Kung Chen, Charles C.N. Wang

“…The models were trained using structured data and unstructured data (free-text notes) processed by NLP. …”
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An Authentication Approach in a Distributed System Through Synergetic Computing by Jia-Jen Wang, Yaw-Chung Chen, Meng-Chang Chen

“…The computation performed by nodes in local area can reduce round-trip data propagation delay to distant data centers. Events with different risk levels are processed in parallel through different flows by using Chief chain (CC) and Telstar chain (TC) methods. …”
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ASSESSMENT OF CHANGES IN THE GROUND CHARACTERISTICS OF HAIL DURING ANACTIVE IMPACT ON HAIL PROCESSES by N. V. Teunov

“…More powerful hail processes most likely got into the processes with AI, therefore, for their correct comparison with the processes without AI, it is necessary to divide them into clusters. …”
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A Computational Approach to Understanding Agglutinative Structures in Urdu by Muhammad Shoaib Tahir, Mahnoor Amjad

“…The study highlights key patterns, such as the prevalent use of prefixes like "نا-" (nā-) and "بد-" (bad-) to form words with negative connotations and the transformation of adjectives and verbs into nouns through suffixes like "-گی " (gī) and "-ی" (ī). …”
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PRELIMINARY RESULTS OF USING SENTINEL-1 SAR DATA FOR DSM GENERATION by Konstantinos NIKOLAKOPOULOS, Aggeliki KYRIOU

“…Sentinel-1 continues the C-band SAR Earth Observation heritage of the European Space Agency satellites like ERS-1, ERS-2 and ENVISAT. This paper discusses DSM generation utilizing Sentinel-1 radar data through interferometric process in two different study areas in Greece. …”
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Improving measures of context in process evaluations: development and use of the Context Tracker tool by Joanna Busza, Fortunate Machingura, Cedomir Vuckovic

“…A lack of easily adapted data collection methods to help define and operationalise indicators of context likely contributes to this. …”
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Transiently elevated expression of different forms of brain-derived neurotrophic factor in the neonatal medial prefrontal cortex affected anxiety and depressive-like behaviors in a... by Dmitriy Lanshakov, Elizaveta Shaburova, Ekaterina Sukhareva, Veta Bulygina, Uliana Drozd, Irina Larionova, Tatiana Gerashchenko, Tatiana Shnaider, Evgeny V. Denisov, Tatyana Kalinina

“…In this work we studied the influence of transient expression (P3–P8) elevation of pro-, mature and mutant forms of BDNF that could not be processed with cellular convertases in the neonatal medial prefrontal cortex (mPFC) on anxiety and depressive-like behavior in adolescents. …”
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Identification of host cell surface proteins inhibiting furin dependent proteolytic processing of viral glycoproteins by Nathalia Williams, Mehdi Chabert, Alicia Besomi, Filo Silva, Karolina Sobiech, Mirco Schmolke

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