Applying the machine learning methods to determine the linear optics parameters in the ThomX collector ring by D. Klekots, O. Bezshyyko, L. Golinka-Bezshyyko, V. Kubytskyi, I. Chaikovska

“…This approach relies on the same input data as classical algorithms. This work shows training and usage of the neural network for analysis of the data from the collector ring of the ThomX accelerator facility.…”
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Implicit and Explicit Iterative Methods for Systems of Variational Inequalities and Zeros of Accretive Operators by Lu-Chuan Ceng, Saleh Abdullah Al-Mezel, Qamrul Hasan Ansari

“…Under suitable assumptions, we study the strong convergence of the sequences generated by the proposed algorithms. The results of this paper improve and extend several known results in the literature.…”
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A Double Inequality for the Trigamma Function and Its Applications by Zhen-Hang Yang, Yu-Ming Chu, Xiao-Jing Tao

“…As applications, some new approximation algorithms for the circumference ratio π and Catalan constant G=∑n=0∞-1n/(2n+1)2 are given. …”
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Theoretical foundation for jung's “Mandala Symbolism” based on discrete chaotic dynamics of interacting neurons by V. Gontar

“…Based on discrete chaotic dynamics algorithms different patterns in a form of mandalas have been generated. …”
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Nonrepetitive Colorings of GraphsA Survey by Jaroslaw Grytczuk

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Security Analysis in Wireless Sensor Networks by Murat Dener

“…The paper also presents characteristics, security requirements, attacks, encryption algorithms, and operation modes. This paper is considered to be useful for security designers in WSNs.…”
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Editorial by Paul Puschmann, Luciana Quaranta

“…The journal publishes not only empirical articles, but also descriptions (of the construction) of new and existing large historical databases, as well as articles dealing with database documentation, the transformation of existing databases into the IDS format, the development of algorithms and extraction software and all other issues related to the methodology of large historical databases.…”
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Editorial by Koen Matthijs, Paul Puschmann

“…The journal publishes not only empirical articles, but also descriptions (of the construction) of new and existing large historical databases, as well as articles dealing with database documentation, the transformation of existing databases into the IDS format, the development of algorithms and extraction software and all other issues related to the methodology of large historical databases. …”
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Editorial by Koen Matthijs, Paul Puschmann

“…The journal publishes not only empirical articles, but also descriptions (of the construction) of new and existing large historical databases, as well as articles dealing with database documentation, the transformation of existing databases into the IDS format, the development of algorithms and extraction software and all other issues related to the methodology of large historical databases.…”
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A Hybrid Transformer Architecture for Multiclass Mental Illness Prediction Using Social Media Text by Adnan Karamat, Muhammad Imran, Muhammad Usman Yaseen, Rasool Bukhsh, Sheraz Aslam, Nouman Ashraf

“…Mental illness prediction through text involves employing natural language processing (NLP) techniques and deep learning algorithms to analyze textual data for the identification of mental disorders. …”
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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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Advanced control parameter optimization in DC motors and liquid level systems by Serdar Ekinci, Davut Izci, Mohammad H. Almomani, Kashif Saleem, Raed Abu Zitar, Aseel Smerat, Vaclav Snasel, Absalom E. Ezugwu, Laith Abualigah

“…Comparative assessments with competitive algorithms, such as the grey wolf optimizer and particle swarm optimization, reveal MGO’s superior performance. …”
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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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Sparse Linear Discriminant Analysis With Constant Between-Class Distance for Feature Selection by Shuangle Guo, Yongxia Li, Jianguang Zhang, Yue Liu, Tian Tian, Mengchen Guo

“…These two drawbacks of TR-LDA significantly reduce the performance of feature selection algorithms based on it. To overcome these drawbacks, this paper proposes the sparse LDA with constant between-class distance (SLDA-CBD) model to select relavant features. …”
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TransDeep: Transformer-Integrated DeepLabV3+ for Image Semantic Segmentation by Tengfei Chai, Zhiguo Xiao, Xiangfeng Shen, Qian Liu, NianFeng Li, Tong Guan, Jia Tian

“…In recent years, image semantic segmentation algorithms have made significant progress driven by deep learning technology, and are widely used in fields such as medical image analysis, assistive technology for the visually impaired people, and autonomous driving. …”
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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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