Energy-Saving Geospatial Data Storage—LiDAR Point Cloud Compression by Artur Warchoł, Karolina Pęzioł, Marek Baścik

“…The validated solution (3DL) achieved CR (compression rate) results of around 32% for ALS data and around 42% for TLS data, while the best solutions reached 15% for ALS and 34% for TLS. …”
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UrduSER: A comprehensive dataset for speech emotion recognition in Urdu languageMendeley Data by Muhammad Zaheer Akhtar, Rashid Jahangir, QuratUl Ain, Muhammad Asif Nauman, Mueen Uddin, Syed Sajid Ullah

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Boosting all-optical wavelength conversion efficiency using an AlGaAs-on-insulator Fabry–Perot microresonator without data rate limits by Chaochao Ye, Ping Zhao, Yang Liu, Xinda Lu, Chanju Kim, Kresten Yvind, Peter A. Andrekson, Minhao Pu

“…We also demonstrate a continuously tunable wavelength conversion system, showcasing its potential to support high signal data rates. Our approach provides a promising pathway for on-chip laser-driven nonlinear signal processing, enabling efficient high-speed wavelength conversion and applications where both high CE and data rate are crucial.…”
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Effect of Noise Exposure During Orthopedic Surgery on Nurses’ Information Processing: Analysis of Reaction Delays and Errors in Judgment by Qian Wang, Hao Wu, Yu Zhang

“…Nurses’ cognitive performance was assessed by measuring reaction time and error rate. Baseline demographic and clinical data, such as age, experience, gender, and surgery type, were included. …”
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Fault Detection of Multi-Rate Two Phase Reactor Condenser System with Recycle Using Multiple Probabilistic Principal Component Analysis by Dhrumil Gandhi, Meka Srinivasarao

“…Fault detection in multi-rate process systems is a challenging task. Common techniques used for fault detection include threshold-based detectors, statistical detectors, and machine learning-based detectors. …”
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Asymptotic Normality of Single Functional Index Quantile Regression for Functional Data with Missing Data at Random by Anis Allal, Nadia Kadiri, Abbes Rabhi

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Estimating fine age structure and time trends in human contact patterns from coarse contact data: The Bayesian rate consistency model. by Shozen Dan, Yu Chen, Yining Chen, Melodie Monod, Veronika K Jaeger, Samir Bhatt, André Karch, Oliver Ratmann, Machine Learning & Global Health network

“…This innovation is rooted in population-level consistency constraints in how contacts between groups must add up, which prompts us to call the approach presented here the Bayesian rate consistency model. The model can also quantify time trends and adjust for reporting fatigue emerging in longitudinal surveys through the use of computationally efficient Hilbert Space Gaussian process priors. …”
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Do rating agencies consider the social capital of the firm in their ratings? by C.S. Agnes Cheng, Peng Guo, Cathy Zishang Liu, Jing Zhao, Sha Zhao

“…Though we cautiously followed prior studies and were confident in our data construction process, it is possible that we are measuring social capital with error. …”
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METHODS OF MULTIDIMENSIONAL STATISTIC PROCESSING OF DATA APPLIED TO FIND REGULARITIES IN THE COURSE OF TUBERCULOSIS IN SIBERIAN AND FAR EASTERN FEDERAL DISTRICTS by I. O. Meshkov, O. V. Revyakina, V. A. Krasnov, Ya. Sh. Shvarts, T. I. Petrenko

“…For statistic processing of data, a distance matrix was used with its consecutive analysis by principal coordinates analysis, which allowed detecting the closest correlations between rates. …”
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Hybrid physical model and status data-driven approach for quality-reliable digital light processing 3D printing by Lidong Zhao, Xueyun Zhang, Zhi Zhao, Limin Ma, Lifang Wu

“…Existing methods for detecting anomalies in digital light processing (DLP) 3D printing and performing in-situ repairs can reduce most defects and improve success rates. …”
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AN ADVANCED MACHINE LEARNING (ML) ARCHITECTURE FOR HEART DISEASE DETECTION, PREDICTION AND CLASSIFICATION USING MACHINE LEARNING by Muhammad Anas, Muhammad Atif Imtiaz, Saad Khan, Arshad Ali, Noor Fatima Naghman, Hamayun Khan, Sami Albouq

“…Original data was preprocessed by handling missing values, normalizing features, and using feature extraction techniques. …”
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Investigation of Effects of Feed Rate and Cutting-Edge Angle Variation on Surface Roughness in External Cylindrical Turning Process of Ms58 Brass Material by Ergun Ateş, Nefise Serbest

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Multi-task deep learning for simultaneous prediction of steel purity and carbon capture rate using membrane separation technology in integrated steelmaking processes by Somboon Sukpancharoen, Pakon Sakdee, Natacha Phetyim, Rinlada Sirisangsawang, Chayut Sungsook

“…Current prediction models address steel purity and carbon capture separately, missing opportunities for integrated process optimization. This work presents the first comparison of single-task learning (STL) versus multi-task learning (MTL) for simultaneous prediction of iron purity classification and carbon capture rates in membrane-integrated steelmaking processes. …”
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The PDCA Cycle and the Point-Rating System for Assessing Students’ Knowledge: Ways to Improve the Quality of Education (Based on the Materials of the Discipline “Business Process M... by G. B. Pestunova, S. A. Ulyanova

“…Let’s consider how the process of forming the point-rating system is in the study of the discipline “Business Process Management”, based on the statistical data of the lecturer, we will test the hypothesis of improving the quality of knowledge when using the methodology of the point-rating system based on the results of the work of second-year students of the Faculty of Higher school of management; we will identify the degree of motivation of students to master the educational program. …”
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Textual Data Selection For Language Modelling In The Scope Of Automatic Speech Recognition by Freha Mezzoudj, David Langois, Denis Jouvet

“…Results show that, in the selection process, the choice of the language models for representing in-domain and non-domain-specific data is critical. …”
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Medical Photography in Dermatology: Quality and Safety in the Referral Process to Secondary Healthcare by Eduarda Castro Almeida, João Rocha-Neves, Ana Filipa Pedrosa, José Paulo Andrade

“…Significant differences were observed between the two groups. While 36.2% of GFMs rated their submitted photos as high- or very-high-quality, none of the dermatologists rated the received photos as high-quality, with 83.3% rating them as average (<i>p</i> = 0.012). …”
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Efficient Multi-Threaded Data Starting Point Matching Method for Space Target Cataloging by Jiannan Sun, Zhe Kang, Zhenwei Li, Cunbo Fan

“…To address the issues of low matching success rates and prolonged computation times in traditional methods, this paper proposes a multi-threaded data starting point matching method. …”
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Ensemble empirical mode decomposition-based preprocessing method with Multi-LSTM for time series forecasting: a case study for hog prices by Lianlian Fu, Xinsheng Ding, Yuehui Ding

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Research on application of diamond FAT for black lithium tantalate wafer processing based on nanoindentation and scratch techniques by Linlin Cao, Zhijie Huang, Zhanshuo Zhang, Wei Wei, Tingting Cai, Xiaolong Zhou, Chengyu Sun, Julong Yuan, Wei Hang, Huiying Ni, Yingjie Wang

“…Based on the calculated data, the actual processing load was estimated and subsequently validated through experiments conducted at varying loads. …”
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Efficient high performance computing with the ALICE event processing nodes GPU-based farm by Federico Ronchetti, Federico Ronchetti, Valentina Akishina, Valentina Akishina, Edvard Andreassen, Nora Bluhme, Nora Bluhme, Gautam Dange, Gautam Dange, Jan de Cuveland, Jan de Cuveland, Giada Erba, Hari Gaur, Hari Gaur, Dirk Hutter, Dirk Hutter, Grigory Kozlov, Grigory Kozlov, Luboš Krčál, Sarah La Pointe, Sarah La Pointe, Johannes Lehrbach, Johannes Lehrbach, Volker Lindenstruth, Volker Lindenstruth, Volker Lindenstruth, Gvozden Nešković, Gvozden Nešković, Andreas Redelbach, Andreas Redelbach, David Rohr, Felix Weiglhofer, Felix Weiglhofer, Alexander Wilhelmi, Alexander Wilhelmi

“…The ALICE O2 Event Processing Nodes (EPN) project performs online data reconstruction using GPUs (Graphic Processing Units) instead of CPUs and applies an efficient, entropy-based, online data compression to cope with Pb–Pb collision data at a 50 kHz hadronic interaction rate. …”
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