Insight into the management of non-traumatic perforation of the small intestine by Bhupendra Kumar Jain, Himanshu Arora, Upendra Kumar Srivastava, Debajyoti Mohanty, Pankaj Kumar Garg

“…There is a paucity of data on the management of non-traumatic perforation of the small intestine. …”
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Modified Spherical Geometry Algorithm for Spaceborne SAR Data Processing in Sliding Spotlight Mode by Jixia Fan, Manyi Tao, Xinhua Mao

“…However, the standard SGA is inherently limited to spotlight mode SAR data processing and cannot be directly extended to other operational modes. …”
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Forecast uncertainties real-time data-driven compensation scheme for optimal storage control by Arbel Yaniv, Yuval Beck

“…Furthermore, a comprehensive comparison with the original formulation was conducted to cover all possible scenarios. This analysis validated the operational effectiveness of the scheme and provided a detailed evaluation of the improvements and expected behavior of the control system. …”
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Leveraging machine learning and open accessed remote sensing data for precise rainfall forecasting by Bambang Kun Cahyono, Muhammad Hidayatul Ummah, Ruli Andaru, Neil Andika, Adjie Pamungkas, Hepi Hapsari Handayani, Paramita Atmodiwirjo, Rory Nathan

“…Further, data processing was performed by means of the Google Earth Engine (GEE) platform. …”
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A Novel Forecasting System with Data Preprocessing and Machine Learning for Containerized Freight Market by Yonghui Duan, Xiaotong Zhang, Xiang Wang, Yingying Fan, Kaige Liu

“…In the forecasting stage, the cheetah optimization algorithm (COA) optimizes the key parameters of the extreme gradient boosting (XGBoost) model, enhancing forecasting accuracy. The empirical analysis based on SCFI and NCFI data reveals that historical pricing serves as a critical determinant, with our integrated model demonstrating superior performance compared to existing methodologies. …”
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Well log data generation and imputation using sequence based generative adversarial networks by Abdulrahman Al-Fakih, A. Koeshidayatullah, Tapan Mukerji, Sadam Al-Azani, SanLinn I. Kaka

“…These results set a new benchmark for data integrity and utility in geosciences, particularly in well log data analysis.…”
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Data-Driven Optimized Load Forecasting: An LSTM-Based RNN Approach for Smart Grids by Muhammad Asghar Majeed, Sotdhipong Phichaisawat, Furqan Asghar, Umair Hussan

“…The research analyzes key temporal patterns in historical load, renewable energy generation, and weather data to improve forecasting precision. RNN-based LSTM, with its gated memory structure, effectively captures long-term dependencies and mitigates vanishing gradient issues, making it highly suitable for modeling complex time-series data in power systems. …”
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Identity-Based Provable Data Possession with Designated Verifier from Lattices for Cloud Computing by Mengdi Zhao, Huiyan Chen

“…In contrast, private verification restricts the auditing capability to the data owner, providing better privacy protection but often resulting in higher verification costs and operational complexity due to limited local resources. …”
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A theory and data-driven method for rapid bottom hole pressure calculation in UGS by Yang Li, Haiwei Guo, Xianfeng Gong, Naixin Lu, Kairui Zhang

“…Abstract In the operation and management of Underground Gas Storage (UGS), the accurate and efficient calculation of bottom hole pressure is crucial for the dynamic analysis and production optimization of gas wells. …”
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RETRACTED: Simplicial Complex-Enhanced Manifold Embedding of Spatiotemporal Data for Structural Health Monitoring by Nan Xu, Zhiming Zhang, Yongming Liu

“…Structural Health Monitoring requires the continuous assessment of a structure’s operational conditions, which involves the collection and analysis of a large amount of data in both spatial and temporal domains. …”
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A novel damage detection method based on sequential iteration and Gaussian mixture model for structural health monitoring under environmental effects by Jie-zhong Huang, Jian Yang, Dong-sheng Li, Wei-chen Kong, Ya-fei Wang

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A Novel Data-Driven MPC Framework Using KDE and KPCA for Autonomous Vehicles by Romdhane Nasri, Jannet Jamii, Majdi Mansouri, Zouhaier Affi, Vicenc Puig

“…This paper introduces a novel data-driven predictive control framework that synergistically integrates Kernel Density Estimation (KDE), Kernel Principal Component Analysis (KPCA), and Hankel matrix representation to address these challenges. …”
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Inferring mobility of care travel behavior from transit smart fare card data by Awad Abdelhalim, Daniela Shuman, Anson F. Stewart, Kayleigh B. Campbell, Mira Patel, Gabriel L. Pincus, Inés Sánchez de Madariaga, Jinhua Zhao

“…In contrast to past studies that have quantified the impact of gender using survey and qualitative data, we examine a novel data-driven workflow utilizing a combination of previously developed origin, destination, and transfer inference (ODX) based on individual transit fare card transactions, name-based gender inference, and geospatial analysis as a framework to identify mobility of care trip making. …”
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C Program Verication in the Multilanguage System Spectrum by V. A. Nepomniashy, I. S. Anureev, M. M. Atuchin, I. V. Maryasov, A. A. Petrov, A. V. Promsky

“…This paper presents the expendable multi-language analysis and verication system SPECTRUM, which is being developed within the framework of the project SPEC- TRUM. …”
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Unlocking the Potential of Remanufacturing Through Machine Learning and Data-Driven Models—A Survey by Yong Han Kim, Wei Ye, Ritbik Kumar, Finn Bail, Julia Dvorak, Yanchao Tan, Marvin Carl May, Qing Chang, Ragu Athinarayanan, Gisela Lanza, John W. Sutherland, Xingyu Li, Chandra Nath

“…This study embarks on a comprehensive review and in-depth analysis of state-of-the-art algorithms across various facets of remanufacturing processes and operations. …”
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Post-hoc Evaluation of Sample Size in a Regional Digital Soil Mapping Project by Daniel D. Saurette, Richard J. Heck, Adam W. Gillespie, Aaron A. Berg, Asim Biswas

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Neutrosophic Set Theory in E-Commerce Evaluation: A Novel Approach to Sales Strategy Optimization by Benjhall Jordan Camargo Vilcapoma, Valia Ximena Huaman Coras, Rosa María Criollo Delgado

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The impact of the marketing information system on decision-making: an applied study on the Saudi Telecommunications Company by Fuad M. Alhamdi, Shaker M. Al-Kahtani

“…These insights support the design of more sustainable marketing strategies by optimizing data-driven operations, promoting digital resource efficiency, and fostering responsible marketing practices, contributing to sustainable development goals, such as innovation, infrastructure, and responsible consumption.…”
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A Hybrid Chinese National Cryptographic Algorithm Based Solution for Data Encryption and Decryption in Transmission by WANG Jinquan, DENG Jian, HE Hongjie

“…In a vehicle intelligent operation and maintenance system, the ground data processing platform needs to collect vehicle operational status data in real time for vehicle monitoring and health status analysis. …”
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Integrated Operational Planning of Battery Storage Systems for Improved Efficiency in Residential Community Energy Management Using Multistage Stochastic Dual Dynamic Programming:... by Pattanun Chanpiwat, Fabricio Oliveira, Steven A. Gabriel

“…The SDDP optimization framework demonstrates robust performance in battery operation management, efficiently handling diverse pricing scenarios while maintaining computational efficiency. …”
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