Fault Location Based on Synchronized Measurements: A Comprehensive Survey by A. H. Al-Mohammed, M. A. Abido

“…This paper presents a comprehensive survey on transmission and distribution fault location algorithms that utilize synchronized measurements. Algorithms based on two-end synchronized measurements and fault location algorithms on three-terminal and multiterminal lines are reviewed. …”
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Energy-aware scheduling policy for data-intensive workflow by Peng XIAO, Zhi-gang HU, Xi-long QU

“…With the increasing scale of data centers,high energy consumption has become a critical issue in high-performance computing area.To address the issue of energy consumption optimization for data-intensive workflow applications,a set of virtual data-accessing nodes are introduced into the original workflow for quantitatively evaluating the data-accessing energy consumption,by which a novel heuristic policy called minimal energy consumption path is designed.Based on the proposed heuristic policy,two energy-aware scheduling algorithms are implemented,which are deprived from the classical HEFT and CPOP scheduling algorithms.Extensive experiments are conducted to investigate the performance of the proposed algorithms,and the results show that they can significantly reduce the data-accessing energy consumption.Also,the proposed algorithms show better adaptive when the system is in presence of large-scale workflows.…”
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A review of Costas arrays by Konstantinos Drakakis

“…Costas arrays are not only useful in radar engineering, but they also present many interesting, and still open, mathematical problems. …”
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Comprehensive Analysis and Implementation of Isogeny-Based Hash Functions by Donghoe Heo, Jeonghwan Lee, Taehoon Kang, Suhri Kim, Seokhie Hong

“…From a fault-tolerance perspective, <monospace>SCH</monospace> and <monospace>SLH</monospace> are not fault-tolerant. We also present the results of implementing the three algorithms in SageMath. …”
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Impact of Petty Tyranny on Employee Turnover Intentions: The Mediating Roles of Toxic Workplace Environment and Emotional Exhaustion in Academia by Javed Iqbal, Zarqa Farooq Hashmi, Muhammad Zaheer Asghar, Attiq Ur Rehman, Hanna Järvenoja

“…The results indicated that toxic workplace environments and emotional exhaustion also have a direct effect on employee turnover intentions. …”
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Machine learning decision support model construction for craniotomy approach of pineal region tumors based on MRI images by Ziyan Chen, Yinhua Chen, Yandong Su, Nian Jiang, Siyi Wanggou, Xuejun Li

“…Results 5 machine learning methods were applied to construct the predictive classifiers with the clinical and VASARI features and all methods could achieve area under the ROC (Receiver operating characteristic) curve (AUC) values over than 0.7. And also, 3 deep learning algorithms (ResNet-50, EfficientNetV2-m and ViT) were applied based on MRI images from different orientations. …”
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Generative AI Models in Time-Varying Biomedical Data: Scoping Review by Rosemary He, Varuni Sarwal, Xinru Qiu, Yongwen Zhuang, Le Zhang, Yue Liu, Jeffrey Chiang

“…The proliferation of AI algorithms also poses a significant challenge for nondevelopers to track and incorporate these advances into clinical research and application. …”
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PCES-YOLO: High-Precision PCB Detection via Pre-Convolution Receptive Field Enhancement and Geometry-Perception Feature Fusion by Heqi Yang, Junming Dong, Cancan Wang, Zhida Lian, Hui Chang

“…The performance of PCES-YOLO is also evaluated against mainstream object detection algorithms, including Faster R-CNN, SSD, YOLOv8n, etc. …”
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Acoustic modelling of machines by Z. ENGEL, L. STRYCZNIEWICZ

“…Mathematical dependencies, algorithms of modelling and examples of calculation results are included in the paper.…”
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ABCD microstates: a new word in EEG mathematical analysis by A. A. Ivanov

“…With the advent of computer electroencephalographs, mathematical methods for EEG processing began to actively develop, some of which have found their application in current clinical practice, others – in brain-computer systems, some algorithms are used only in scientific research, whereas the remaining have shown inefficiency and become undemanded. …”
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Comparing Blind Image Quality Metrics for Reliable Image Assessment by Cristian George Fieraru, Maria Biserica, Ioana Cristina Plajer, Mihai Ivanovici

“…Reliable image quality assessment is essential not only in digital photography but also as a key metric for evaluating the performance of algorithms and models designed for image quality enhancement or generation. …”
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A Specific Time Lag Regulation of Soil Moisture Across Layers on Soil Salinization in the Northeast Tibetan Plateau Agroecosystem by Di Wei, Ziqi Zhang, Lin Yan, Jia Yu, Yun Zhang, Bo Wang

“…Moreover, soil water and salt also have a time lag effect compared with instant responses, meaning that the soil salinization caused by deep soil moisture may require longer transport times. …”
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Development experience of information system for ranking of academic and pedagogical staff by A. A. Chernousov, E. V. Vavilova

“…The aim of this work is research of algorithms for quantitative assessment of intellectual potential (rating) of academic and pedagogical staff in higher educational institutions, as well as the development of technology for the application of these algorithms in practice.Materials and methods. …”
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Research on the security audit model in intrusion prevention based on write-related support vector data description by LUO Jun, PAN Zhi-song, MIAO Zhi-min, HU Gu-yu

“…The security audit model based on write-related SVDD was designed to resolve the one-class problem.Once the classifier has been trained using the write-related subset,all activities deviated from the normal patterns are classified as potential intrusion.The proposed one-class classification algorithms can be implemented to build up an anomaly detection system by using only normal samples and the algorithms also makes the security audit system detect the new anomaly behaviors.In the experiments,the One-class classifier acquires nearly 100% detection rate and average zero false alarm rate for sequences of system calls based on a small training dataset.…”
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Understanding Information Propagation in Online Social Networks: A Systematic Mapping Study by Eleana Jerez-Villota, Francisco Jurado, Jaime Moreno-Llorena

“…In addition, we also found several proposals to mitigate or control IP. …”
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Artificial intelligence and machine learning in modern cardiology: Advancements in diagnosis, treatment and patient monitoring by Szymon Kopciał, Dawid Piecuch, Edyta Hańczyk, Karolina Kornatowska, Natalia Pawelec, Weronika Mazur

“…Additionally, AI-driven algorithms support personalized treatment strategies, real-time remote monitoring, and precision-guided coronary interventions, reducing procedural complications. …”
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Advancement of electric vehicle technologies, classification of charging methodologies, and optimization strategies for sustainable development - A comprehensive review by Vikram Goud Madaram, Pabitra Kumar Biswas, Chiranjit Sain, Sudhakar Babu Thanikanti, Praveen Kumar Balachandran

“…Wireless power transfer (WPT) systems, which charge without cables, and their integration into urban infrastructure are also examined. Battery swap stations (BSS), which quickly recharges depleted batteries, are also reviewed for their viability and adoption issues. …”
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A multi-label classification method for disposing incomplete labeled data and label relevance by Lina ZHANG, Lingpeng DAI, Tai KUANG

“…Multi-label classification methods have been applied in many real-world fields，in which the labels may have strong relevance and some of them even are incomplete or missing.However，existing multi-label classification algorithms are unable to handle both issues simultaneously.A new probabilistic model that can automatically learn and exploit multi-label relevance was proposed on label relevance and missing label classification simultaneously.By integrating out the missing information，it also provides a disciplined approach to handle missing labels.Experiments on a number of real world data sets with both complete and incomplete labels demonstrated that the proposed method can achieve higher classification and prediction evaluation scores than the existing multi-label classification algorithms.…”
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The Influence of Artificial Intelligence on Communication by Talmaţchi Maria-Lucia

“…The accountability of automated systems, the transparency of algorithms, as well as the risks of information manipulation are examined from an ethical perspective. …”
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Translation memory and computer assisted translation tool for medieval texts by Attila Törcsvári

“…The efficiency of the algorithms is analyzed for recall and precision.…”
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