Dissipation rates from experimental uncertainty by Aishani Ghosal, Jason R. Green

“…Here, we quantitatively relate these fluctuations to a thermodynamic speed limit that constrains the rates of heat and entropy production in nonequilibrium processes. …”
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RATING THE ACTIVITIES OF EXECUTIVE AUTHORITIES BY THE PUBLIC by N. N. Chalenko, K. I. Solodovnikova

“…The findings of the research were reflected in the State Assignment report of 2016. The polling data was processed using the method of public perception ratings. …”
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Mining online hotel reviews using big data and machine learning: An empirical study from an emerging country by Hanh Thi My Le, Thuy-An Phan-Thi, Binh T. Nguyen, Thang Quyet Nguyen

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Selected Topics on Business Informatics: Editorial Introduction to Issue 13 of CSIMQ by Jelena Zdravkovic, Óscar Pastor, Peri Loucopoulos

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Source Process Estimation for the 2024 Mw 7.1 Hyuganada, Japan, Earthquake and Forward Modeling Using N‐net Ocean Bottom Seismometer Data by R. Shibata, H. Kubo, W. Suzuki, S. Aoi, H. Sekiguchi

“…The N‐net seafloor seismograms of the mainshock with a frequency of ∼0.05 Hz recorded east of the source area were reproduced for several stations using the empirical Green's function approach based on the estimated source process data.…”
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Enhanced Estimation of the Unit Lindley Distribution Parameter via Ranked Set Sampling with Real-Data Application by Sid Ahmed Benchiha, Amer Ibrahim Al-Omari, Ghadah Alomani

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Transfer resource management of the bank as an element of the integrated system of financial management: approaches to automation by O. A. Morozova

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Research on privacy preservation of member inference attacks in online inference process for vertical federated learning linear model by Hongshu YIN, Xuhua ZHOU, Wenjun ZHOU

“…With the development of big data and the introduction of data security regulations, the awareness of privacy protection has gradually increased, and the phenomenon of data isolation has become more and more serious.Federated learning technology as one of the effective methods to solve this problem has become a hot spot of concern.In the online inference process of vertical federated learning, the current mainstream methods do not consider the protection of data identity, which is easy to leak user privacy.A privacy protection method for member inference attacks was proposed in the online inference process of the vertical federated linear model.A filter with a false positive rate was constructed to avoid the accurate positioning of data identity to ensure the security of data.Homomorphic encryption was used to realize the full encrypted state of the online inference process and protect the intermediate calculation results.According to the ciphertext multiplication property of homomorphic encryption, the random number multiplication method was used to mask data, which ensured the security of the final inference result.This scheme further improved the security of user privacy in the online inference process of vertical federated learning and had lower computation overhead and communication costs.…”
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Automated methane emission monitoring systems based on satellite data: Radiation transfer model analysis by K. Aghayeva, G. Krauklit

“…The highest methane emissions were detected on the Apsheron Peninsula (2.8 ppb), which is associated with leaks and gas processing processes. The seasonal analysis demonstrated an increase in concentrations in winter (3 ppm) and summer (2.7 ppm) due to a decrease in the dispersion rate and intensification of mining. …”
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Secure Image Transmission Using Multilevel Chaotic Encryption and Video Steganography by Suhad Naji Alrekaby, Maisa’a Abid Ali Khodher, Layth Kamil Adday, Reem Aljuaidi

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Experimental Demonstration of Continuous Sensor Data Monitoring Using Neural Network-Based Optical Camera Communications by Md. Faisal Ahmed, Moh. Khalid Hasan, Md. Shahjalal, Md. Morshed Alam, Yeong Min Jang

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Diffusion and sorption of allyl isothiocyanate in the process of fumigation of maize Difusão e sorção do isotiocianato alilo no processo de fumigação do milho by Juliana L. Paes, Lêda R. A. Faroni, Marcio A. Martins, Onkar D. Dhingra, Tales A. Silva

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Predicting the coefficient of friction in a sliding contact by applying machine learning to acoustic emission data by Robert Gutierrez, Tianshi Fang, Robert Mainwaring, Tom Reddyhoff

“…Acquired data is then used to train machine learning (ML) algorithms (e.g., Gaussian process regression (GPR) and support vector machine (SVM)) to correlated acoustic emission with friction. …”
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Detecting Signatures of Criticality Using Divergence Rate by Tenzin Chan, De Wen Soh, Christopher Hillar

“…In biology especially, these signatures of criticality are thought to be connected with efficient computation and information processing. Guided by the classical theory of rate–distortion (RD) from information theory, we propose a measure for detecting and characterizing such phenomena from data. …”
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A deep decentralized privacy-preservation framework for online social networks by Samuel Akwasi Frimpong, Mu Han, Emmanuel Kwame Effah, Joseph Kwame Adjei, Isaac Hanson, Percy Brown

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Efficient and Accurate Zero-Day Electricity Theft Detection from Smart Meter Sensor Data Using Prototype and Ensemble Learning by Alyaman H. Massarani, Mahmoud M. Badr, Mohamed Baza, Hani Alshahrani, Ali Alshehri

“…By efficiently processing high-frequency smart meter sensor data, this model contributes to developing real-time and energy-efficient anomaly detection systems in smart grid environments.…”
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A review on recent approaches of Machine Learning, Deep Learning, and Explainable Artificial intelligence in Intrusion Detection Systems by Seshu Bhavani Mallampati, Seetha Hari

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Bioinformatic Analysis of Complex In Vitro Fertilization Data and Predictive Model Design Based on Machine Learning: The Age Paradox in Reproductive Health by Myrto A. Lantzi, Eleni Papakonstantinou, Dimitrios Vlachakis

“…This approach to the processing and utilization of clinical data demonstrates the potential for optimization and documentation of therapeutic procedures. …”
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Study of the structure and development of oil deposits in carbonate reservoirs using field data and X-ray microtomography by D. A. Martyushev, I. N. Ponomareva, B. M. Osovetsky, K. P. Kazymov, E. M. Tomilina, A. S. Lebedeva, A. S. Chukhlov

“…The advantage of the approach used is the ability to study the deposit at three levels: core-well-development object, it is reasonable to transfer micro-survey data to the regularities of the implementation of technological processes of oil production. …”
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Pengaruh Padat Tebar Ikan Lele Terhadap Laju Pertumbuhan dan Survival Rate Pada Sistem Akuaponik <Br><I>[ The Effect Of Stocking Density On Survival Rate and Grow Rate Of Aquaponi... by Boedi Setya Rahardja, Ongky Wijaya, Prayogo Prayogo

“…Analysis of the data processed using Analysis of Variance (ANOVA) to know whether there is influance the growth rate and survival rate between the treatment given. …”
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