High-Pitch Computed Tomography Coronary Angiography—A New Dose-Saving Algorithm: Estimation of Radiation Exposure by Dominik Ketelsen, Markus Buchgeister, Andreas Korn, Michael Fenchel, Bernhard Schmidt, Thomas G. Flohr, Christoph Thomas, Christoph Schabel, Ilias Tsiflikas, Roland Syha, Claus D. Claussen, Martin Heuschmid

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Selection Method of Cross-Border e-Commerce Export Logistics Mode Based on Collaborative Filtering Algorithm by Ying Yang

“…Firstly, the development background of cross-border e-commerce logistics is sorted out, and the research content, research method, and research framework are proposed based on the theoretical research of relevant scholars. …”
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Notification of suspicion on the web page of the General Prosecutor’s Office and in the newspaper “Uryadovyi Kurier”: requirements and algorithm of publication by A. V. Hutnyk

“…The author uses the methods of analysis and synthesis, induction and deduction, comparative legal, formal and logical, systemic and structural, graphical and other methods of scientific research. …”
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Feature selection using a multi-strategy improved parrot optimization algorithm in software defect prediction by Qi Fei, Guisheng Yin, Zhian Sun

“…Comparative experiments demonstrate that BMEPO exhibits stronger competitiveness in feature selection quality and classification performance compared to advanced feature selection algorithms. …”
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Evaluating the performance of pixel-based and object-based multidimensional clustering algorithms for automated surface water mapping by Bohao Li, Kai Liu, Ming Wang, Yanfang Wang, Linmei Zhuang, Weihua Zhu, Chenxia Li, Linhao Zhang, Yanan Chen

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The Quest for the Best Explanation: Comparing Models and XAI Methods in Air Quality Modeling Tasks by Thomas Tasioulis, Evangelos Bagkis, Theodosios Kassandros, Kostas Karatzas

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Enhanced intelligent train operation algorithms for metro train based on expert system and deep reinforcement learning. by Yunhu Huang, Wenzhu Lai, Dewang Chen, Geng Lin, Jiateng Yin

“…However, a critical examination reveals computational constraints, adaptability to unforeseen conditions and multi-objective balancing that our research aims to address. In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”
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Enhanced framework embedded with data transformation and multi-objective feature selection algorithm for forecasting wind power by Yahya Z. Alharthi, Haruna Chiroma, Lubna A. Gabralla

“…These selected features undergo a data transformation process before being input into the hybrid DRN-LSTM for wind power forecasting. A comparative study demonstrates the proposal’s superior effectiveness and robustness compared to existing frameworks with the proposal achieving 2.6593e−10 and 1.630e−05 in terms of MSE and RMSE respectively whereas the classical algorithm recorded 8.8814e−07 and 9.424e−04. …”
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Structural Damage Identification Using PID-Based Search Algorithm: A Control-Theory Inspired Application by Kuang Shi, Tingting Sun

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Safe AI for coral reefs: Benchmarking out-of-distribution detection algorithms for coral reef image surveys by Mathew Wyatt, Sharyn Hickey, Ben Radford, Manuel Gonzalez-Rivero, Nader Boutros, Nikolaus Callow, Nicole Ryan, Arjun Chennu, Mohammed Bennamoun, James Gilmour

“…We show with a comparative analysis that the performance of OOD detection algorithms is variable, and highly dependent on in-distribution and out-of-distribution data composition. …”
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A novel approach to node coverage enhancement in wireless sensor networks using walrus optimization algorithm by V. Saravanan, Indhumathi G, Ramya Palaniappan, Narayanasamy P, M. Hema Kumar, K. Sreekanth, Navaneethan S

“…By incorporating metaheuristics and optimizing node coverage, WSNs can become more resilient and robust, leading to the development of self-adapting, self-organizing networks capable of efficiently covering dynamic and diverse environments. This research introduces the Walrus Optimization Algorithm for Node Coverage Enhancement in WSNs, called the WaOA-NCEWSN technique. …”
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A Comparative Evaluation of Machine Learning-Based Intrusion Detection Systems for Securing Cloud Environments by Mohammad Shadi Alhakeem, Khawla Bin Ajlan

“…The study conducts a comparative analysis of five ML techniques, employing two distinct feature selection methods to evaluate their effectiveness in strengthening the security of cloud environments. …”
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Methods, Techniques, and Algorithms of Synchronous Multi-Zone Modulation of Signals of Voltage Source Inverters (literature review) by Oleschuk V., Tirsu M.

“…This publication provides a brief overview of the results of research work in the field of developing alternative methods, schemes, and algorithms of synchronous multi-zone modulation of signals of inverters of power con-version systems with reduced switching frequency of power switches. …”
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Performance Comparison of Vertex Block Descent and Position Based Dynamics Algorithms Using Cloth Simulation in Unity by Jun Ma, Nak-Jun Sung, Min-Hyung Choi, Min Hong

“…This paper presents a comparative study of the Vertex Block Descent (VBD) and Position-Based Dynamics (PBD) algorithms, focusing on their performance in physical simulation tasks. …”
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Comparative Analysis of The Combined Model (Spatial and Temporal) and Regression Models for Predicting Murder Crime by Laith S. Ibrahim, Ghadeer Jasim Mohammed

“… This research dealt with the analysis of murder crime data in Iraq in its temporal and spatial dimensions, then it focused on building a new model with an algorithm that combines the characteristics associated with time and spatial series so that this model can predict more accurately than other models by comparing them with this model, which we called the Combined Regression model (CR), which consists of merging two models, the time series regression model with the spatial regression model, and making them one model that can analyze data in its temporal and spatial dimensions. …”
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Joint Optimization of Route and Speed for Methanol Dual-Fuel Powered Ships Based on Improved Genetic Algorithm by Zhao Li, Hao Zhang, Jinfeng Zhang, Bo Wu

“…Additionally, comparative experiments reveal that the designed algorithm outperforms both the GA and the Linear Interactive and General Optimizer (LINGO) solver for identifying optimal route and speed solutions. …”
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Adaptive energy loss optimization in distributed networks using reinforcement learning-enhanced crow search algorithm by S. Bharath, A. Vasuki

“…Unlike traditional methods such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and standard Crow Search Algorithm (CSA), which suffer from premature convergence and limited adaptability to real-time variations, Reinforcement Learning Enhanced Crow Search Algorithm (RL-CSA) which is proposed in this research work solves network reconfiguration optimization problem and minimize energy losses. …”
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A Comparative Evaluation of Machine Learning Methods for Predicting Student Outcomes in Coding Courses by Zakaria Soufiane Hafdi, Said El Kafhali

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Comparing viral, bacterial, and coinfections in community-acquired pneumonia, a retrospective cohort study by Frederike Waldeck, Solveig Lemmel, Marcus Panning, Nadja Käding, Andreas Essig, Gernot Rohde, Mathias W. Pletz, Martin Witzenrath, Sebastien Boutin, Jan Rupp

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Analysis and Research on Intelligent Logistics Data under Internet of Things and Blockchain by Yige Li

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