Computational Analysis of Quantitative Characteristics of some Residual Properties of Solvable Baumslag-Solitar Groups by Elena Alexandrovna Tumanova

“…We state that, if $2 \leq |k| \leq 10000$ and $1 \leq x \leq 50000$, then, for almost all considered $k$, the function $f_{k}(x)$ can be approximated quite accurately by the function $\alpha_{k}x^{0.85}$, where the coefficient $\alpha_{k}$ is different for each $k$ and $\{\alpha_{k} \mid 2 \leq |k| \leq 10000\} \subseteq (0.28;\,0.31]$. We also investigate the dependence of the value $f_{k}(50000)$ on $k$ and propose an effective algorithm for checking a two-element set of prime numbers for compliance with the conditions of the last criterion. …”
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Chaos-enhanced metaheuristics: classification, comparison, and convergence analysis by Abdelhadi Limane, Farouq Zitouni, Saad Harous, Rihab Lakbichi, Aridj Ferhat, Abdulaziz S. Almazyad, Pradeep Jangir, Ali Wagdy Mohamed

“…To experimentally demonstrate the capability of chaos theory to enhance metaheuristic algorithms that face common issues such as susceptibility to local optima, non-smooth transitions between global and local search phases, and decreased diversity, we developed a chaotic variant of the recently proposed RIME optimizer, which also encounters these challenges to some extent. …”
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Artificial intelligence in traditional Chinese medicine: advances in multi-metabolite multi-target interaction modeling by Yu Li, Xiangjun Liu, Jingwen Zhou, Fengjiao Li, Yuting Wang, Qingzhong Liu

“…To enhance the reliability and scalability of AI in TCM target prediction, future research should prioritize continuous optimization of the AI algorithms using zero-shot learning, end-to-end architectures, and self-supervised contrastive learning.…”
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A comprehensive review of spatial distribution modeling of plant species in mountainous environments: Implications for biodiversity conservation and climate change assessment

“…We describe different modeling algorithms, including presence-only and presence/absence modeling algorithms, machine-learning algorithms, distance-based algorithms, and regression-based algorithms. …”
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Applying Machine Learning to Preselective Weighing of Moving Vehicles by Paweł Kowaleczko, Tomasz Kamiński, Mariusz Rychlicki, Zbigniew Kasprzyk, Marek Stawowy, Jacek Trzeszkowski

“…The next part of the paper presents the basic classification and characteristics of machine learning algorithms, as well as examples of applications and implementations of these algorithms in various industries. …”
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Blockchain-Enhanced Attribute-Based Encryption Architecture With Feasibility Analysis by Agustin Ferrer-Rojas, Bodhaswar T. Maharaj, Mduduzi C. Hlophe

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Artificial Intelligence for Drug Discovery Accelerating the Development of New Pharmaceuticals by Basri T. Syeda Jeelani, Kulkarni Adokshaja Krishnarao, K Renuka, B Yamini Supriya, R V Kavya, A Buckshumiyan

“…These challenges can be addressed through large-scale real-world validations, fairness-aware algorithms and privacy-preserving techniques building a next-gen AI framework enabling our research. …”
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Efficient Structural Damage Detection with Minimal Input Data: Leveraging Fewer Sensors and Addressing Model Uncertainties by Fredi Alegría, Eladio Martínez, Claudia Cortés-García, Quirino Estrada, Andrés Blanco-Ortega, Mario Ponce-Silva

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Smart governance in Poland: The case study of the city of Łódź by Monika Namysłowska, Aleksandra Olbryk

“…The research builds on the authors' broader work on the algorithmization of the Polish state, supported by their participation in an international project that gives a foundation for understanding Łódź's legal and operational landscape. …”
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A bi-decision model for electric vehicle dispatch and battery swapping station charging schedule problem by Yong Su, Shishun Tian, Hao Wu, Xia Li

“…Lastly, a comprehensive comparison between the proposed ATS algorithm and the MOPSO algorithm is presented to show the effectiveness and competitiveness.…”
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Transpiling Quantum Assembly Language Circuits to a Qudit Form by Denis A. Drozhzhin, Anastasiia S. Nikolaeva, Evgeniy O. Kiktenko, Aleksey K. Fedorov

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Food Sales Prediction Using MLP, RANSAC, and Bagging by Hussam Mezher Merdas, Ayad Hameed Mousa

“…Some studies used classical machine learning algorithms, some used deep learning algorithms, and others used ensemble techniques. …”
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Nonlinear Equation Solver with MATLAB Graphical User Interface by Nur Idalisa Norddin, Nurul Hafawati Fadhilah, Muhammad Azri Azman Shah, Nurul Hajar Mohd Yusoff, Nur Intan Syafinaz Ahmad

“…The GUI makes it easier to evaluate algorithm performance by providing a more accessible interface to input nonlinear functions, their Jacobians, and also their respective initial approximations. …”
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Quantum Bayesian Inference with Renormalization for Gravitational Waves by Gabriel Escrig, Roberto Campos, Hong Qi, M. A. Martin-Delgado

“…While the surge in detections will profoundly advance GW astronomy and multimessenger astrophysics, it also poses significant computational challenges in parameter estimation. …”
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Meaningful app-work? Exploring meaningful work experiences of food delivery couriers in Poland by Aneta Pieczka, Miłosz Miszczyński

“…It provides new insights into how workers create and perceive meaningful work in a highly digitised and algorithmically managed environment.…”
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PanoSCU: A Simulation-Based Dataset for Panoramic Indoor Scene Understanding by Mariia Khan, Yue Qiu, Yuren Cong, Jumana Abu-Khalaf, David Suter, Bodo Rosenhahn

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Machine Learning with Administrative Data for Energy Poverty Identification in the UK by Lin Zheng, Eoghan McKenna

“…We evaluate multiple classification algorithms, including Random Forest and XGBoosting, applying resampling and class weighting techniques to address the inherent class imbalance in energy poverty classification. …”
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An adaptive approach for generating Voronoi diagrams for residential areas containing adjacent polygons by Jianhua Wu, Peng Dai, Xiang Hu, Yu Zhao, Jiaqi Xiong, Lieyun Hu, Ning Wei, Haowen Tu

“…This study proposes AVARA, an innovative adaptive Voronoi diagram algorithm explicitly designed for residential areas containing adjacent polygons. …”
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Bit-Level Construction for Multiplicative-Repetition-Based Non-Binary Polar Codes by Rongchi Xu, Peiyao Chen, Ling Liu, Min Zhu, Baoming Bai

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An international multicenter retrospective analysis of repeated anti-ENA testing in ANA-associated rheumatic diseases, a data-driven proposal to increase testing efficacy by Wim H.M. Vroemen, Maria Infantino, Mariangela Manfredi, Joyce J.B.C. van Beers, Carolien Bonroy, Jan G.M.C. Damoiseaux

“…Background: Autoantibodies detection in ANA-associated rheumatic diseases (AARD) is not only used for diagnostic and classification purposes, but also for monitoring. In case of AARD it is questioned if repeated anti-ENA testing is of any substantial value. …”
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