Differential privacy protection technology and its application in big data environment by Yu FU, Yihan YU, Xiaoping WU

“…The privacy protection in big data is a research hotspot in the field of cyberspace security.As a strict and provable definition of privacy protection,studying application status of differential privacy protection in big data environment can provide reference and guidance for its subsequent system applications.Based on the analysis of the related concepts and technical characteristics of differential privacy protection,the application of differential privacy protection technology was reviewed in data distribution and analysis,cloud computing and big data computing,location and trajectory services and social networks,which expounded the current representative research results and analyzed its existing problems.The research shows that the existing results have made effective innovation and exploration of differential privacy protection applications from the aspects of differential privacy protection mechanism,noise addition mechanism and location,and data processing methods,and the related results have been cross-applied in different scenarios.Finally,four major problems that need to be studied in the further systematic application of differential privacy protection in the big data environment are proposed.…”
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Long-Term Performance Analysis of Direct Photovoltaic Thermal-Assisted Heat Pump Water Heater Using Computational Model by Demiss Alemu Amibe, Alemayehu Tenaw Eneyaw

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Separation of organic molecules from water by design of membrane using mass transfer model analysis and computational machine learning by Suranjana V. Mayani, Hessan Mohammad, Soumya V. Menon, Rishabh Thakur, Abdulqader Faris Abdulqader, S. Supriya, Prabhat Kumar Sahu, Kamal Kant Joshi

“…The process is simulated via computational fluid dynamics and machine learning. Utilizing a dataset of over 25,000 data points with r(m) and z(m) as inputs, four tree-based learning algorithms were employed: Decision Tree (DT), Extremely Randomized Trees (ET), Random Forest (RF), and Histogram-based Gradient Boosting Regression (HBGB). …”
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Computational Fluid Dynamics Analysis of Polycrystalline Diamond Compact Drill Bit Nozzle Efficiency Designed for Interbedded Formation Drilling by Abdul Razak Abdul Rahman, Harith Zambri, Ahmad Majdi Abdul Rani, Fudhail Abdul Munir, Nur Saidatul Akmal Roslan

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Enhancing socio-emotional learning and mental health through computational thinking: a cross-cultural analysis of the COMPUSEL programme by Adelinda Candeias, Adriana Felix, Anisoara Dumitrache, Beatrice Almășan, Ilke Evin Gencel, Magdalena Zadworna, Karolina Kossakowska, Angeliki Sakellariou, Miltos Sakellariou, Cavus Sahin, Cigdem Sahin Taskin

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Revolutionizing Epithelial Differentiability Analysis in Small Airway-on-a-Chip Models Using Label-Free Imaging and Computational Techniques by Shiue-Luen Chen, Ren-Hao Xie, Chong-You Chen, Jia-Wei Yang, Kuan-Yu Hsieh, Xin-Yi Liu, Jia-Yi Xin, Ching-Kai Kung, Johnson H. Y. Chung, Guan-Yu Chen

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A Network Traffic Characteristics Reconstruction Method for Mitigating the Impact of Packet Loss in Edge Computing Scenarios by Jiawei Ye, Yanting Chen, Aierpanjiang Simayi, Yu Liu, Zhihui Lu, Jie Wu

“…Additionally, TCReC exhibits robustness across various packet loss scenarios, consistently delivering high-quality feature reconstruction for both attack traffic and common Internet application data. TCReC provides a robust solution for network traffic analysis in high-loss edge computing scenarios, offering practical value for real-world deployment.…”
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Automated dairy cow identification and feeding behaviour analysis using a computer vision model based on YOLOv8 by Claudia Giannone, Mohsen Sahraeibelverdy, Martina Lamanna, Damiano Cavallini, Andrea Formigoni, Patrizia Tassinari, Daniele Torreggiani, Marco Bovo

“…The paper describes the work phases from data collection to analysis and validation of an improved YOLOv8n model that, after a fine-tuning on the collected video set, achieved a precision of 85 %, a recall of 62 % (F1 score 0.72) at IoU 0.5 and processes a 640 × 640 pixels frame in just 12 ms on an NVIDIA RTX 2080. …”
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Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis by Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Siamak Pedrammehr, Adnan Anwar, Hailing Zhou, Lei Wei, Asim Bhatti, Sam Oladazimi, Burhan Khan, Saeid Nahavandi

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Integration of Sentinel-1 and -2 imagery through advanced cloud computing improves hillside vineyard soil moisture analysis by Farid Faridani, Alessandro Mataffo, Giandomenico Corrado, Antonio Dente, Claudio Rossi, Guido D’Urso, Boris Basile

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Exploring the Impact of Artificial Intelligence on the Creativity Perception of Music Practitioners by Haixia Ma, Yan Zhang, Xin Shan, Xiaoxi Hu

“…Through a quantitative analysis, the study assesses how AI tool usage influences creative output. …”
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GenoPath: a pipeline to infer tumor clone composition, mutational history, and metastatic cell migration events from tumor DNA sequencing data by Ryan M. Tobin, Ryan M. Tobin, Shikha Singh, Shikha Singh, Sudhir Kumar, Sudhir Kumar, Sayaka Miura, Sayaka Miura

“…We have illustrated GenoPath’s utility through a case study of tumor evolution using metastatic prostate cancer data. By reducing computational barriers, GenoPath broadens access to tumor evolution analysis. …”
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Energy-/Carbon-Aware Evaluation and Optimization of 3-D IC Architecture With Digital Compute-in-Memory Designs by Hyung Joon Byun, Udit Gupta, Jae-Sun Seo

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Chemical Composition and Bioactivity Dataset Integration to Identify Antiproliferative Compounds in <i>Phyllanthus</i> Plants by Luis Diaz, Taylor H. Díaz-Herrera, Ericsson Coy-Barrera

“…Methods: The integration of liquid chromatography–mass spectrometry (LC-MS)-based chemical composition data with antiproliferative activity against three cancer cell lines—PC-3 (prostate adenocarcinoma), SiHa (cervical carcinoma), and A549 (lung carcinoma)—as well as a normal mouse fibroblast line (L929) was performed by covariate analysis. …”
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Spatiotemporal and multi-sensor analysis of surface temperature, NDVI, and precipitation using google earth engine cloud computing platform by Qasimi Abdul Baser, Isazade Vahid, Kaplan Gordana, Nadry Zabihullah

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Automated Damage Detection on Concrete Structures Using Computer Vision and Drone Imagery by Timothy Malche, Sumegh Tharewal, Rajesh Kumar Dhanaraj

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The interdisciplinarity of the publications of the Medical University of Silesia in Katowice based on the analysis of the co-occurrence of issues specific to medicine and computer... by Ewelina Paluch, Marcela Mikulska

“…The research was aimed at analyzing publications affiliated with the Medical University of Silesia in Katowice in terms of their connection with issues included in the area of Computer Science. OpenAlex, a bibliographic database supported by data mainly from Scopus, WoS and Google Scholar, which uses concepts that make up the Wikidata knowledge base to describe the content of publications was used. …”
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4 Pattern Recognition for Healing Burns to Compute Evidence: Space Syntax and Machine Learning Analysis of Burns Center Karachi by Javaria Manzoor Shaikh, JaeSeung Park

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From energy to ecology: decarbonization pathways for sustainable high-performance computing through global carbon-energy nexus analysis by Guancong Yu, Ziyan Wang, Yulan Xu, Zhuofan Javan Sun, Susan Chen

“…Global annual energy consumption ranges from 2.3–4.2 billion kW·h at average utilization, with the US accounting for 1.68 billion kW·h. (2) Carbon footprint calculations using energy mix data (2016–2022) incorporated an Environmental Impact Index (EII) to weigh ecological sensitivity, linking CO2 emissions to a 0.5% GDP loss per trillion tons, totaling $2.18 million in economic losses. (3) Forecasting models projected 2030 emissions at 1.071 × 1020 kg under average utilization with sobol analysis demonstrating marginal energy consumption fluctuations due to uncertainty. (4) Renewable energy adoption analysis showed strong inverse correlations between clean energy use and emissions in the US (R2 = 0.904), China (R2 = 0.99), and Germany (R2 = 0.779), while quantifying air pollutants like SO2, NOx and PM10. (5) The combined differential equation and regression models captured the dynamic evolution of energy efficiency and its impact on energy consumption, revealing through 2025 projections that policy incentives can substantially enhance energy efficiency (from 21.22 to 30.90) while reducing energy consumption (from 0.3449 to 0.3278).DiscussionThis study underscores the urgency of balancing HPC growth with sustainability through renewable integration and operational efficiency.…”
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Sex assessment from the proximal femur in a Spanish population based on three-dimensional computed tomography metric analysis by Đorojević Mirjana, Roldán Concepción, Botella Miguel, Alemán Inmaculada

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