Efficient Dynamic Replicated Data Possession Checking in Distributed Cloud Storage Systems by Jinxia Wei, Jianyi Liu, Ru Zhang, Xinxin Niu

“…In this paper, we present an efficient dynamic multicopies possession checking scheme that has the following properties: (1) the data owner uses fully homomorphic encryption (FHE) algorithm to generate multiple copies; (2) the scheme supports data block dynamic operation; (3) the scheme supports third-party auditor's public validation. …”
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A Short-Term Risk Prediction Method Based on In-Vehicle Perception Data by Xinpeng Yao, Nengchao Lyu, Mengfei Liu

“…The method incorporates Monte Carlo simulation for threshold calibration, Boruta-based feature selection, and multiple machine learning models, including the light gradient-boosting machine (LGBM), with performance interpretation via SHAP analysis. Validation is conducted using data from 90 real-world driving sessions. …”
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Understanding gender segregation through Call Data Records: An Estonian case study. by Rahul Goel, Rajesh Sharma, Anto Aasa

“…In this work, we utilize Call Data Records (CDR) provided by one of Estonia's major telecom operators to research the complexities of social interaction and human behavior in order to explain gender segregation. …”
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Optimizing Data Access for Wind Farm Control over Hierarchical Communication Networks by Jacob Madsen, Mislav Findrik, Tatiana Madsen, Hans-Peter Schwefel

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Defense Methods for Adversarial Attacks Against Power CPS Data-Driven Algorithms by Weiping ZHU, Yi TANG, Xingshen WEI, Zengji LIU

“…However, the inherent flaws of data-driven algorithms introduce new risks to the safe and stable operation of the system, which attackers can exploit to launch adversarial attacks that may cause system power outages and even instability. …”
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Multiaxial vibration data for blade fault diagnosis in multirotor unmanned aerial vehicles by Luttfi A. Al-Haddad, Alaa Abdulhady Jaber, Mohsin N. Hamzah, Habib Kraiem, Mustafa I. Al-Karkhi, Aymen Flah

“…The resulting soft-labeled dataset includes time-domain signals from numerous test flights and has been used in multiple prior studies involving classical and deep learning-based fault classification techniques. This curated data collection provides a valuable resource for researchers in UAV health monitoring, vibration analysis, and machine learning-based fault diagnosis. …”
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Digital Transformation of the System of Collection and Processing of Data of the Census of the Population of the Republic of Belarus by T. F. Starovoitova, T. I. Savchenko

“…Authors realised the technology «Generalized data», used for gathering, formation and cartographical display of the information on the population, constantly living in the organisations (establishments), gardening associations, country co-operative societies, objects of office appointment, and also for drawing up of organizational plans of carrying out of population census of Byelorussia of 2019 and control over its preparation and carrying out.…”
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Utilizing Google Trends data to enhance forecasts and monitor long COVID prevalence by Amanda M. Y. Chu, Jenny T. Y. Tsang, Sophia S. C. Chan, Lupe S. H. Chan, Mike K. P. So

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Edge Computing Architectures for Low-Latency Data Processing in Internet of Things Applications by Banoth Sreenu, M Vineesha, Punna Hari Shankar, P Mathiyalagan, Prakash Vijay, M Jasmin

“…It is also incorporated with a fault-tolerant mechanism to guarantee continuous operations. Apply large-scale edge computing solutions in enterprise scenarios: conduct a cost-benefit analysis Evaluation results show that the proposed design achieves substantial latency reduction, energy saving, and data security, recommending it to meet the needs of next generation IoT applications.…”
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Data-driven network intrusion detection using optimized machine learning algorithms by Dauda Adeite Adenusi, Oladosu Oyebisi Oladimeji, Theopilus Adekunle Oyekola, Korede Solomon Olagunju

“…The research investigates the impact of data preprocessing techniques, including data balancing and duplicate removal, on detection performance. …”
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Utilising Smart-Meter Harmonic Data for Low-Voltage Network Topology Identification by Ali Othman, Neville R. Watson, Andrew Lapthorn, Radnya Mukhedkar

“…Having precise and accurate topology information is crucial for future network operations and network modelling. Topology identification approaches based on smart-meter data typically rely on Root Mean Square (RMS) voltage, current, and power measurements, which are limited in accuracy due to factors such as time resolution, measurement intervals, and instrument errors. …”
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Data-driven fault identification method of RV reducer used in industrial robot by Dongdong Guo, Yan Zhang, Xiangqun Chen, Hao Peng, Zongrui Jiang, Haitao Ma, Wenbo Du

“…The constant speed segment data extraction method is designed to overcome the difficulty of frequency domain analysis caused by non-uniform rotation in working conditions and ensure the quality and effectiveness of features extraction. …”
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Large language model trained on clinical oncology data predicts cancer progression by Menglei Zhu, Hui Lin, Jue Jiang, Abbas J. Jinia, Justin Jee, Karl Pichotta, Michele Waters, Doori Rose, Nikolaus Schultz, Sulov Chalise, Lohit Valleru, Olivier Morin, Jean Moran, Joseph O. Deasy, Shirin Pilai, Chelsea Nichols, Gregory Riely, Lior Z. Braunstein, Anyi Li

“…Analyzing 39,319 radiology impression notes from 4002 patients, it achieved an overall area under the receiver operating characteristic curve (AUROC) of 0.97 for cancer progression prediction on MSK data, including a notable 0.98 AUROC for pancreatic cancer. …”
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Data-Driven-Based Full Recovery Technology and System for Transformer Insulating Oil by Feng Chen, Li Wang, Zhiyao Zheng, Bin Pan, Yujia Hu, Kexin Zhang

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Bridging the Past and Future of Clinical Data Management: The Transformative Impact of Artificial Intelligence by Musik S, Sasin-Kurowska J, Panczyk M

“…The integration shows promise in enhancing data analysis, automating data cleaning, and predicting critical outcomes. …”
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Renji endoscopic submucosal dissection video data set for colorectal neoplastic lesions by Jinnan Chen, Xiangning Zhang, Jinneng Wang, Tang Cao, Chunjiang Gu, Zhao Li, Yiming Song, Liuyi Yang, Zhengjie Zhang, Qingwei Zhang, Dahong Qian, Xiaobo Li

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Data mining methods application in reflexive adaptation realization in e-learning systems by A. S. Bozhday, Y. I. Evseeva, A. A. Gudkov

“…Achieving this effect is important for e-learning systems, since they are quite expensive.The main results of the work include: the proposed classification of software adaptation mechanisms, taking into account the latest trends in the IT field in general and in the field of e-learning in particular; Formulation and formalization of the principle of reflexive adaptation in software systems applicable to a wide class of applied programs; The development of a universal architectural template of the software system, oriented to restructuring in the process of operation; Algorithm for self-optimization of the user interface of the software system based on methods of data mining.The development of the theoretical basis for the automatic reorganization of e-learning software will increase the flexibility of the virtual educational environment and increase the period of its exploitation. …”
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Application of data mining to extract knowledge about the occurrence of fistulas after palatoplasty by Patrick Pedreira Silva, Elvio Gilberto da Silva, Vinicius Santos Andrade, Telma Vidotto de Sousa Brosco, Gabriela Aparecida Prearo, Maria Inês Pegoraro-Krook, Jeniffer de Cassia Rillo Dutka

“…Method: A data set of 222 patients with UTIC without syndromes, operated by four surgeons with Furlow’s or von Langenbeck’s primary palatoplasty techniques, was analyzed for this study. …”
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Identification and grading method of HCAs in gas pipelines based on multisource data fusion by Haoran TANG, Junnan XIONG, Zhiwei YONG, Wenjie CHEN, Aoru LIU, Qisheng WANG, Huiwen XIAO, Rongkang WANG

“…The spatial analysis feature and attribute processing capabilities of GIS were utilized to calculate building areas and integrate spatial and attribute data. …”
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Fault Prediction of Hydropower Station Based on CNN-LSTM-GAN with Biased Data by Bei Liu, Xiao Wang, Zhaoxin Zhang, Zhenjie Zhao, Xiaoming Wang, Ting Liu

“…Fault prediction of hydropower station is crucial for the stable operation of generator set equipment, but the traditional method struggles to deal with data with an imbalanced distribution and untrustworthiness. …”
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