A Hybrid Algorithm for PMLSM Force Ripple Suppression Based on Mechanism Model and Data Model by Yunlong Yi, Sheng Ma, Bo Zhang, Wei Feng

“…The traditional single-mechanism model has difficulty fully characterizing the nonlinear disturbance factors, while the data-driven method has real-time limitations. Therefore, this paper proposes a hybrid modeling framework that integrates the physical mechanism and measured data and realizes the dynamic compensation of the force ripple by constructing a collaborative suppression algorithm. …”
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A Malmquist fuzzy data envelopment analysis model for performance evaluation of rural healthcare systems by Vishal Chaubey, Deena Sunil Sharanappa, Kshitish Kumar Mohanta, Rajkumar Verma

“…The proposed models evaluate the efficiency and productivity of decision-making units (DMUs) when the input and output data are given in the form of TrFNs. In addition, a case study of the rural healthcare system in a developing country has been considered to demonstrate the applicability of the developed models. …”
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Spatial–Temporal Reconstruction of Trajectories in Free Space Using Automatic Target Position Detection Data by Yang Chen, Xin Chen, Bin Bai, Linjiang Zheng

“…The reconstructed trajectory data can be used for critical applications such as the intent and behavior analysis of key targets in national airspace and ground areas, providing valuable insights into security and safety.…”
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Patch-Wise-Based Self-Supervised Learning for Anomaly Detection on Multivariate Time Series Data by Seungmin Oh, Le Hoang Anh, Dang Thanh Vu, Gwang Hyun Yu, Minsoo Hahn, Jinsul Kim

“…Effective anomaly detection in such data requires accurately capturing temporal patterns and ensuring the availability of adequate data. …”
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A Comparison of Array Configurations in Python-Based Software for ERT Data in Shallow Hazard Detection by Oussama Jabrane, Pedro Martínez-Pagán, Marcos A. Martínez-Segura, Ximena Capa-Camacho, Khadidja Delimi, Mimoun Chourak

“…These findings emphasize the importance of selecting appropriate electrode configurations to enhance imaging accuracy and ensure reliable geo-electrical data interpretation. This study highlights the robustness of open-source geophysical software for subsurface investigations and provides practical insights into optimizing geoelectrical survey configurations for shallow hazard detection.…”
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Constraint Learning-based Optimal Power Dispatch for Active Distribution Networks with Extremely Imbalanced Data by Yonghua Song, Ge Chen, Hongcai Zhang

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Impact of Safety Signage Placement on Evacuation Behavior in Virtual Fire Scenarios Based on EDA Data by Wenqi Song, Xu Feng, Yu Song

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Power distribution and forecasting using a probabilistic and systematic data processing model for renewable resources by Hammad Alnuman, Ghulam Abbas, Amr Yousef

“…To provide a robust and trustworthy assessment, we validate our results using the Smart Grid Data set from the ARRA projects dataset. Comparing PSPM to current methods, empirical data show that it improves forecast success rate by 20%, increases distribution efficiency by 25%, and reduces analytical latency by 35%. …”
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Cluster Sort: A Novel Hybrid Approach to Efficient In-Place Sorting Using Data Clustering by Mohit Subramaniam, Tanya Tripathi, Omkumar Chandraumakantham

“…It is designed in such a way that it improves sorting efficiency by using data locality. It works in two phases: first, data elements are clustered based on the similarity in the values and then each of these clusters is sorted independently using comb or shell sort. …”
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Role of artificial intelligence and BIG DATA capabilities on fintech services: Value co-creation theory by Amineh Khaddam, Hasan Alhanatleh

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Early Detection of Fetal Health Conditions Using Machine Learning for Classifying Imbalanced Cardiotocographic Data by Irem Nazli, Ertugrul Korbeko, Seyma Dogru, Emin Kugu, Ozgur Koray Sahingoz

“…Additionally, the use of SMOTE effectively addressed dataset imbalance, further enhancing the reliability and applicability of the proposed approach.…”
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Advanced Noise Reduction for In-Cylinder Combustion Pressure Data Using ICEEMDAN and Optimal Wavelet Selection by Van-Trung Nguyen, Minh-Tien Nguyen

“…The proposed approach was validated on simulated signals and experimental data from lean syngas/air combustion at equivalence ratios. …”
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Fake News Detection Landscape: Datasets, Data Modalities, AI Approaches, Their Challenges, and Future Perspectives by Fiza Gulzar Hussain, Muhammad Wasim, Seemab Hameed, Abdur Rehman, Muhammad Nabeel Asim, Andreas Dengel

“…To combat misinformation and fake news on social media platforms, multifarious AI applications have been developed to detect such content in various languages and data modalities, including text, images, and videos. …”
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Sugarcane acreage estimation using Sentinel-2A satellite data and time series approach by Yogesh Garde, Swaroop D. B, Vipul Shinde, Sagar Kolekar, V.S. Thorat, Jay Delvadiya, Alok Shrivastava

“…Sentinel 2A data in monthly interval (Dec-2019 to Dec- 2020) were downloaded from the website of Copernicus Open Access Hub (https://scihub.copernicus.eu/). …”
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Rill Erosion and Drainage Development in Post-Landslide Settings Using UAV–LiDAR Data by Xinyu Chen, Albertus Stephanus Louw, Ali P. Yunus, Saleh Alsulamy, Deha Agus Umarhadi, Md. Alamgir Hossen Bhuiyan, Ram Avtar

“…UAV–LiDAR systems are increasingly accessible and have successfully been used to measure microtopography data for several applications. Yet, the use of UAV–LiDAR systems for rill erosion studies in post-landslide landscapes have not been well investigated. …”
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Unveiling the mechanisms and promising molecular targets of curcumin in pancreatic cancer through multi-dimensional data by HongMing Xie, JieBin Liang, HongBiao He, Zewei Zhuo, JiaXuan Li

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Efficient Urban Tree Species Classification via Multirepresentation Fusion of Mobile Laser Scanning Data by Yinchi Ma, Peng Luan, Yujie Zhang, Bo Liu, Lijie Zhang

“…This study presents tree morphology multirepresentation fusion network, integrating 3-D point cloud data with 2-D projections for enhanced tree species classification. …”
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Efficient Time-Series InSAR Data Processing via Modular Cloud-Native Parallelization by Peichen Yu, Chao Wang, Yixian Tang, Weikang Zhang, Lichuan Zou, Shaoyang Guan, Haihang You, Hong Zhang

“…This framework offers an efficient and practical solution for large-scale InSAR data processing and paves the way for broader applications of cloud-native technologies in remote sensing data analysis.…”
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A Single-Step Multiclass SVM Based on Quantum Annealing for Remote Sensing Data Classification by Amer Delilbasic, Bertrand Le Saux, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro

“…In recent years, the development of quantum annealers has enabled experimental demonstrations and has increased research interest in applications of quantum annealing, such as in quantum machine learning and in particular for the popular quantum support vector machine (SVM). …”
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Bayesian Model Averaging for Satellite Precipitation Data Fusion: From Accuracy Estimation to Runoff Simulation by Shaowei Ning, Yang Cheng, Yuliang Zhou, Jie Wang, Yuliang Zhang, Juliang Jin, Bhesh Raj Thapa

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