Soft computing applications in asphalt pavement: A comprehensive review of data-driven techniques using response surface methodology and machine learning by Nura Shehu Aliyu Yaro, Muslich Hartadi Sutanto, Mohd Rosli Hainin, Noor Zainab Habib, Aliyu Usman, Muhammad Sani Bello, Surajo Abubakar Wada, Abiola Usman Adebanjo, Ahmad Hussaini Jagaba

“…Providing valuable insights for future research and guiding decision-making for soft computing applications for asphalt pavement projects.…”
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Compositional epistasis detection using a few prototype disease models. by Lu Cheng, Mu Zhu

“…We argue that existing methods, which use data to determine a best-fitting disease model for each pair of SNPs prior to screening, may be too greedy. …”
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Design of an efficient dynamic context‐based privacy policy deployment model via dual bioinspired Q learning optimisations by Namrata Jiten Patel, Ashish Jadhav

Subjects: “…cloud computing…”
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Data‐driven designing on mechanical properties of biodegradable wrought zinc alloys by Zongqing Hu, Shaojie Li, Jianfeng Jin, Yuping Ren, Rui Hou, Lei Yang, Gaowu Qin

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Impact of body composition and muscle health phenotypes on survival outcomes in colorectal cancer: a multicenter cohort by Ana Lúcia Miranda, Jarson Pedro da Costa Pereira, Iasmin Matias de Sousa, Glaucia Mardrini Cassiano Ferreira, Mara Rubia de Oliveira Bezerra, Gabriela Villaça Chaves, Fernanda F. Maciel, Leonardo Borges Murad, Sara Maria Moreira Lima Verde, Sílvia Fernandes Maurício, José Barreto Campello Carvalheira, Maria Carolina Mendes, Maria Cristina Gonzalez, Carla M. Prado, Ana Paula Trussardi Fayh

“…Using our data distribution on body composition assessments and classifications could improve clinical evaluations and support population-specific opportune interventions. …”
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On the Numerical Investigation of Two-Phase Evaporative Spray Cooling Technology for Data Centre Applications by Ning Gao, Syed Mughees Ali, Tim Persoons

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Era- and Genre-Specific Stop Word Lists for Low-Resource Computational Research: A Classical Latin 'Exemplum' by Rachel E. Dubit, Annie K. Lamar

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A Survey of Data Stream-Based Intrusion Detection Systems by Rodrigo Sanches Miani, Gustavo Di Giovanni Bernardo, Guilherme Weigert Cassales, Hermes Senger, Elaine Ribeiro de Faria

Subjects: “…Computer networks…”
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Efficient autoencoder pipeline for discovering high entropy alloys with molecular dynamics data by Amirhossein D Naghdi, Grzegorz Kaszuba, Stefanos Papanikolaou, Andrzej Jaszkiewicz, Piotr Sankowski

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Temporal generalization in evergreen leaf type classification using tailored Sentinel-2 composites by Peter Hofinger, Jan Dempewolf, Simon Ecke, Hans-Joachim Klemmt

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Predicting drug-target interactions using machine learning with improved data balancing and feature engineering by Md. Alamin Talukder, Mohsin Kazi, Ammar Alazab

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Deep Learning for Atmospheric Modeling: A Proof of Concept Using a Fourier Neural Operator on WRF Data to Accelerate Transient Wind Forecasting at Multiple Altitudes by Paulo Alexandre Costa Rocha, Jesse Van Griensven Thé, Victor Oliveira Santos, Bahram Gharabaghi

“…To this end, we forecasted wind speed for short time frames over the Houston region using the WRF model data from 2019 to 2022, training the models to predict the X-component (U) wind speed. …”
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Implementation strategy of telecom operators’ data lake technology by Junjun HU, Xiaojun XIE, Yanbin SHI, Qi YU

Subjects: “…data lake;native data storage;loose coupling between storage and computation;data catalog…”
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Principles of data protection in the accounting system: management aspects by S.F., T.P., І.М.

Subjects: “…computer accounting system…”
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Software defined data center network with hybrid routing by Yue-ping CAI, Chang-ping WANG

Subjects: “…cloud computing…”
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Approach to keyword search over encrypted data in cloud by Peng ZHANG, Yan LI, Hai-lun LIN, Rong YANG, Qing-yun LIU

“…With the advent of cloud computing,large-scale data are being increasingly outsourced to the cloud.For the protection of data privacy,sensitive data has to be encrypted before outsourcing,which makes effective data utilization a very challenging task.Although traditional searchable encryption approaches allow users to search over encrypted data through keywords,they don’t capture any relevance of data files,so users have to spend much time on post-processing every retrieved file in order to find ones most matching their interest.Moreover,retrieving all files containing the queried keyword further incurs unnecessary network traffic,which is not accord with pay-as-you-use cloud paradigm.An approach to ranked keyword search over encrypted data in cloud is proposed.Ranked search greatly mitigate the user’s effort by returning the matching files in a ranked order,and also protects the data privacy by order-preserving encryption.Extensive experimental results demonstrate the efficiency.…”
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Implementation strategy of telecom operators’ data lake technology by Junjun HU, Xiaojun XIE, Yanbin SHI, Qi YU

Subjects: “…data lake…”
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The SmARTR pipeline: A modular workflow for the cinematic rendering of 3D scientific imaging data by Simone Macrì, Nicolas Di-Poï

“…We introduce the SmARTR pipeline (Small Animal Realistic Three-dimensional Rendering), a comprehensive workflow integrating wet lab procedures, 3D data acquisition, and processing to produce photorealistic scientific data through 3D cinematic rendering. …”
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Modified Two-Parameter Ridge Estimators for Enhanced Regression Performance in the Presence of Multicollinearity: Simulations and Medical Data Applications by Muteb Faraj Alharthi, Nadeem Akhtar

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Compositional stratigraphy of clay‐bearing layered deposits at Mawrth Vallis, Mars by J. J. Wray, B. L. Ehlmann, S. W. Squyres, J. F. Mustard, R. L. Kirk

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