Modelling the Isotope composition of groundwater using hydrochemical properties in eastern Saudi Arabia: Implementation of innovative data intelligence techniques by Mohammed Benaafi, Waleed M. Hamanah, Ebrahim Al-Wajih

“…New hydrological insight for the region: Eight AI algorithms (KNN, SVR, RF, ET, Bag, AdaBt, GRB, and CAT) and stacking ensemble models were developed to predict the δ¹ ⁸O and δ²H isotopes of the groundwater using a dataset of physicochemical parameters, ions and elements, and isotopes from 47 wells. …”
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Federated Digital Twins: A Scheduling Approach Based on Temporal Graph Neural Network and Deep Reinforcement Learning by Young-Jin Kim, Hanjin Kim, Beomsu Ha, Won-Tae Kim

“…Traditional scheduling algorithms, which assume static processing speeds for machines (corresponding to DTs), encounter limitations in generating optimal schedules. …”
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A Review on Face Mask Recognition by Jiaonan Zhang, Dong An, Yiwen Zhang, Xiaoyan Wang, Xinyue Wang, Qiang Wang, Zhongqi Pan, Yang Yue

“…A central focus is placed on the role of datasets in driving algorithmic performance, addressing key factors, including dataset diversity, scale, annotation granularity, and modality. …”
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AIPerf: Automated Machine Learning as an AI-HPC Benchmark by Zhixiang Ren, Yongheng Liu, Tianhui Shi, Lei Xie, Yue Zhou, Jidong Zhai, Youhui Zhang, Yunquan Zhang, Wenguang Chen

“…The plethora of complex Artificial Intelligence (AI) algorithms and available High-Performance Computing (HPC) power stimulates the expeditious development of AI components with heterogeneous designs. …”
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ML-Based Self-Optimization Handover Technique for Beyond 5G Mobile Network by Saddam Alraih, Rosdiadee Nordin, Asma Abu-Samah, Ibraheem Shayea, Nor Fadzilah Abdullah

“…The results demonstrate that ML-SOHOT enhanced the HO optimization performance significantly and surpassed the competitive algorithms. Furthermore, ML-SOHOT achieves an average HO performance improvement of up to 96% compared to competitive algorithms from the literature. …”
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Innovation through Wearable Sensors to Collect Real-Life Data among Pediatric Patients with Cardiometabolic Risk Factors by Kestens Yan, Barnett Tracie, Mathieu Marie-Ève, Henderson Mélanie, Bigras Jean-Luc, Thierry Benoit, Maxime St-Onge, Lambert Marie

“…Use of wearable sensors along with data treatment algorithms and visualisation tools allow to better measure and describe real-life environments, mobility, physical activity, and physiological responses. …”
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Appropriate Contrast Enhancement Measures for Brain and Breast Cancer Images by Suneet Gupta, Rabins Porwal

“…We do have various enhancement algorithms which enhance the medical images to different extents. …”
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Entropy-based feature selection with applications to industrial internet of things (IoT) and breast cancer prediction by Ismail Mageed

“…Eliminating redundant and irrelevant variables while keeping the most important ones boosts the prediction capacity of the algorithms. FS is essential because of this. The current paper delves into entropy-based FS, which emphasizes the phenomenal role of entropy in developing numerous interdisciplinary fields of human knowledge, including ML. …”
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Pedestrian inertial navigation: An overview of model and data-driven approaches by Itzik Klein

“…Among these, are methods and algorithms for shoe-mounted inertial sensors and pedestrian dead reckoning (PDR) with unconstrained inertial sensors. …”
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Output Feedback Control for Couple-Group Consensus of Multiagent Systems by Huanyu Zhao, Hongbiao Zhou, Zhongyi Tang

“…We obtain two necessary and sufficient conditions of couple-group consensus in different forms for each case. Two different algorithms are used to design the control gains for continuous- and discrete-time case, respectively. …”
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Modified Hybrid Discriminant Analysis Methods and Their Applications in Machine Learning by Liwen Huang

“…Numerical experiments on real data sets show that this method performs well compared to other classification algorithms, and its stability is better than the common discriminant models.…”
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APPLICATION OF EXTREME VALUE OF CHOQUE INTEGRAL IN DECIDING IN THE ECONOMIC THEORY OF THE ACTIVE CONNECT by O. V. Lavrichenko

“…Author is considered the basics of the economic theory of the active connect as well as the necessit y of reducing the action of anthropogenic factors on the effectiveness of additive models and decision-making algorithms is provided. The study analyzed the necessit y economic valuation of theanthropogenic successions within the concept of a balanced distribution of the industrial enterprises innovative resources. …”
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Semi-Online Scheduling on Two Machines with GoS Levels and Partial Information of Processing Time by Taibo Luo, Yinfeng Xu

“…Respectively, for the three semi-online versions, we develop algorithms with competitive ratios of 3/2, 20/13, and 4/3 which are shown to be optimal.…”
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Fixed Point Results in Fuzzy Strong Controlled Metric Spaces with an Application to the Domain Words by Aftab Hussain, Umar Ishtiaq, Hamed Al Sulami

“…Furthermore, we use our main result to obtain the existence of a solution for a recurrence problem linked with the study of Quicksort algorithms.…”
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Zoomorphism, Biomimetics and Computational Design by Benedetta Terenzi, Saverio Mecca

“…It has likewise inspired the formalization of furnishings: from the animalières and zoomorphic propositions to the bionic that reinterprets the structure and mechanical behaviour, to the computational design experiments that shape the natural behaviors distilled in algorithms.…”
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A mathematical model for antibiotic control of bacteria in peritoneal dialysis associated peritonitis by Colette Calmelet, John Hotchkiss, Philip Crooke

“…Using the model along with experimental data, clinical parameters, and physiological values, we compute variations in PD fluid distributions, drug concentrations, and number of bacteria in peritoneal and extra-peritoneal cavities. Scheduling algorithms for the PD exchanges that minimize bacteria count are investigated.…”
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BESS-Set: A Dataset for Cybersecurity Monitoring in a Battery Energy Storage System by Giovanni Battista Gaggero, Alessandro Armellin, Giulio Ferro, Michela Robba, Paola Girdinio, Mario Marchese

“…In this context, there is a need to develop datasets of attacks on these systems to evaluate the risks and allow researchers to develop proper monitoring algorithms. This paper addresses this need by presenting BESS-Set, an open-source dataset for cybersecurity analysis of a Battery Energy Storage System (BESS).…”
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Learning-Based Image Restorations of Sparse-View CT Data: Is It Reliable? by Philip Maurice Trapp, Elias Eulig, Joscha Maier, Frederic Ballach, Raoul Christoph, Ralf Christoph, Marc Kachelrieß

“…In addition, this work examines the influence of these methods on metrological specification measurements of CTs and the conclusions that can be drawn with regard to the objective specification of such algorithms.  …”
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Model calculation of a radio communication line based on remote sensing data by Andrey T. Albuzov, Pavel E. Shakhov, Vladimir I. Filatov

“…The article presents the developed algorithms and screenshots of the implementation of the program for calculating the interference effect of the relief, taking into account the underlying surface in the radio communication interval. …”
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Identification of mitophagy-related biomarkers and immune infiltration in polycystic ovarian syndrome by bioinformatic study by Hongjuan Ye, Xicheng Wang, Zhiying He

“…The potential biomarkers of mitophagy-related and immune infiltration in PCOS were screened by protein-protein interaction network using different algorithms, and the area under the curve was calculated to analyze their diagnostic value. …”
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