A review on machine learning applications in hydrogen energy systems by Zaid Allal, Hassan N. Noura, Ola Salman, Flavien Vernier, Khaled Chahine

“…The paper provides an in-depth review of the literature, examining not only ML techniques but also optimization algorithms, evaluation methods, explainability techniques, and emerging technologies. …”
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Scheduling Approach for the Simulation of a Sustainable Resource Supply Chain by Henning Strubelt, Sebastian Trojahn, Sebastian Lang, Abdulrahman Nahhas

“…The process sequence is determined by means of a priority index. Genetic algorithms are then applied to improve the priority index to further increase performance. …”
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Multi-Task Water Quality Colorimetric Detection Method Based on Deep Learning by Shenlan Zhang, Shaojie Wu, Liqiang Chen, Pengxin Guo, Xincheng Jiang, Hongcheng Pan, Yuhong Li

“…Experimental results demonstrate that the optimized deep learning algorithm excels in precision (96.4%), recall (96.2%), and mAP50 (98.3), significantly outperforming other mainstream models. …”
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Aplikasi belajar tajwid menggunakan binary search by Anita Andriani, Arbiati Faizah, Indana Lazulfa, Istiqomah Istiqomah

“…Therefore, the aim of this study is to construct tajweed learning application based on website and applied binary search algorithm for better result. Binary search is a search algorithm that works by finding the position of elements in a sorted array and comparing their values. …”
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Diagnostic of fatty liver using radiomics and deep learning models on non-contrast abdominal CT. by Haoran Zhang, Jinlong Liu, Danyang Su, Zhen Bai, Yan Wu, Yuanbo Ma, Qiuju Miao, Mingyue Wang, Xiaopeng Yang

“…Among all models used for diagnosing fatty liver, the 2D radiomics model based on the random forest algorithm achieved the highest AUC (0.973), while the 2D radiomics model based on the Bagging decision tree algorithm showed the highest sensitivity (0.873), specificity (0.939), accuracy (0.864), precision (0.880), and F1 score (0.876).…”
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SA3C-ID: a novel network intrusion detection model using feature selection and adversarial training by Wanwei Huang, Haobin Tian, Lei Wang, Sunan Wang, Kun Wang, Songze Li

“…Subsequently, the refined data undergoes feature selection employing an improved pigeon-inspired optimizer (PIO) algorithm. This operation eliminates redundant and irrelevant features, consequently reducing data dimensionality while maintaining critical information. …”
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Industrial-scale prediction of cement clinker phases using machine learning by Sheikh Junaid Fayaz, Néstor Montiel-Bohórquez, Shashank Bishnoi, Matteo Romano, Manuele Gatti, N. M. Anoop Krishnan

“…The framework can potentially enable real-time optimization of cement production, thereby providing a route toward reducing material waste and ensuring quality while reducing the associated emissions under real-world conditions.…”
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Rolling Cargo Management Using a Deep Reinforcement Learning Approach by Rachid Oucheikh, Tuwe Löfström, Ernst Ahlberg, Lars Carlsson

“…In this paper, we apply state-of-the-art deep reinforcement learning algorithms to automate these operations in a complex and real environment. …”
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Exploration and Construction of Personalized Customization Mode in Modern Fashion Design by Sun Huaiqun

“…The article focuses on constructing a personalized customization implementation path based on big data analysis, artificial intelligence algorithms, and online interaction platforms, covering key links such as demand analysis, virtual fitting, and on-demand production. …”
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Complex Neutrosophic Approach for Uncertainty Management in Employment Competence for Higher Vocational College Students by Shuo Du, Lijuan Zhao

“…The proof-of-concept analysis highlighted the best-ranked alternative while offering intuitions about the sensitivity of the decision process. …”
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A Set-Based Method for Planning Coordinated Trajectories for Skid-Steered Robotic Units Subject to Constraints, Uncertainties, and External Disturbances by Valerio Scordamaglia, Alessia Ferraro

“…The proposed solution aims to define optimal trajectories that can be simultaneously tracked by the robots while ensuring collision-free motion, even in the presence of unavoidable tracking errors due to the limited authority of the control algorithm. …”
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Shells and Spheres: An n-Dimensional Framework for Medial-Based Image Segmentation by Aaron Cois, John Galeotti, Robert Tamburo, Michael Sacks, George Stetten

“…For the automated 3D algorithm, the only manual interaction consists of tracing a single contour on a 2D slice to optimize parameters, and identifying an initial point within the target structure.…”
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Performance of a new stabilized structure-preserving finite element method for the Allen–Cahn equation by Panason Manorot, Ben Wongsaijai, Kanyuta Poochinapan

“…The scheme combines the Crank–Nicolson/Adams–Bashforth technique with the Galerkin method, complementing a thoughtfully designed stabilization term. While the Allen–Cahn equation is inherently nonlinear, our proposed algorithm effectively addresses this nonlinearity by utilizing the implicit nature of the resulting system of equations. …”
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Source Quantization and Coding over Noisy Channel Analysis by Runfeng Wang, Dan Song, Jinkai Ren, Lin Wang, Zhiping Xu

“…., the channel decoding algorithm is employed to realize the lossy source coding. …”
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Exploring Critical Eye-Tracking Metrics for Identifying Cognitive Strategies in Raven’s Advanced Progressive Matrices: A Data-Driven Perspective by Yaohui Liu, Keren He, Kaiwen Man, Peida Zhan

“…The present study utilized a recursive feature elimination approach in conjunction with a random forest algorithm to assess the efficacy of various features in predicting cognitive strategy usage in Raven’s Advanced Progressive Matrices. …”
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A Review of Environmental Control Strategies and Models for Modern Agricultural Greenhouses by Shuailiang Chen, Aolong Liu, Fei Tang, Pei Hou, Yanli Lu, Pei Yuan

“…Greenhouse control involves regulating environmental parameters such as temperature, humidity, light, and CO₂ concentration to ensure an optimal growth environment for crops while conserving energy. …”
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Research on Near-Infrared Non-Invasive Blood Glucose Detection Technology by Wang Jinshuo

“…In response to the complex and easily interfered characteristics of near-infrared spectral signals, an innovative BP neural network algorithm is introduced to construct a prediction model. …”
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Fuzzy Logic Unmanned Air Vehicle Motion Planning by Chelsea Sabo, Kelly Cohen

“…With an appropriate dynamic motion planning algorithm, UAVs would be able to maneuver in any unknown environment towards a target in real time. …”
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LN-DETR: cross-scale feature fusion and re-weighting for lung nodule detection by Dibin Zhou, Honggang Xu, Wenhao Liu, Fuchang Liu

“…These results highlight the superior detection accuracy of the proposed network while maintaining computational efficiency.…”
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Modelling of Green function in a rectangular room based upon the geometrical-filtration model by R. Marczuk, L. Majkut

“…To this end it is necessary to work out an impulse response calculating algorithm for a digital room model. The Green's function is the solution of wave equation then give consideration to source and receiver positions. …”
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