Solving Three-Stage Operating Room Scheduling Problems with Uncertain Surgery Durations by Yang-Kuei Lin, Chin Soon Chong

“…The results from different problem sizes and uncertainty levels show that GARS and GARS_SA consistently perform better than the other algorithms. In large-scale tests with moderate uncertainty (30 surgeries, α = 0.5), GARS achieves an average makespan of 633.85, a standard deviation of 40.81, and a worst-case performance ratio (WPR) of 1.00, while GAD reaches 673.75, 54.21, and 1.11, respectively. …”
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Research on the Torque Density Optimization of a Semi-Embedded Permanent Magnet Wind Turbine Based on the Non-Dominated Sorting Genetic Algorithm II and Magnetic Pole Offset by Wei Li, Dongrui Wang, Zuoxia Xing, Changjie Sun

“…Then, based on the non-dominated sorting genetic algorithm II (NSGA-II), the ratio k of the inner and outer diameters of the stator is optimized to make the motor quality and efficiency reach the best state. …”
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Programming and Setting Up the Object Detection Algorithm YOLO to Determine Feeding Activities of Beef Cattle: A Comparison between YOLOv8m and YOLOv10m by Pablo Guarnido-Lopez, John-Fredy Ramirez-Agudelo, Emmanuel Denimal, Mohammed Benaouda

“…YOLOv10 outperformed YOLOv8 with slightly higher precision, recall, mAP50, and mAP50-95 scores. Although both algorithms demonstrated similar overall accuracy (around 90%), YOLOv8 reached optimal training faster and exhibited less overfitting. …”
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A two‐stage transformer fault diagnosis method based multi‐filter interactive feature selection integrated adaptive sparrow algorithm optimised support vector machine by Hanyu Shi, Mingxia Chen

“…Finally, Experiments were conducted using real fault data, and the diagnostic performance of different feature inputs, optimisation algorithms and classifiers were compared. The results show that the proposed method performs well on parameter optimisation, can dynamically and interactively select feature subsets with few dimensions and good generalisation performance, its overall diagnosis accuracy reached 92.47%, and the diagnosis performance of each fault type has good performance in multiple evaluation metrics.…”
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Development of a Collision-Free Path Planning Method for a 6-DoF Orchard Harvesting Manipulator Using RGB-D Camera and Bi-RRT Algorithm by Zifu Liu, Rizky Mulya Sampurno, R. M. Rasika D. Abeyrathna, Victor Massaki Nakaguchi, Tofael Ahamed

“…Second, by adopting the URDF format, we built the manipulator’s simulation model to be inserted with the reconstructed 3D obstacle map environment. Third, the Bi-RRT algorithm was introduced for path planning, which performs bidirectional expansion simultaneously from the start and targets configurations based on the principles of the RRT algorithm, thereby effectively shortening the time required to reach the target. …”
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Advanced IoT-integrated parking systems with automated license plate recognition and payment management by Gulmini Pradhan, Manas Ranjan Prusty, Vipul Singh Negi, Suchismita Chinara

“…A single camera monitors multiple parking slots, with predefined coordinates linked to IR sensors for dual verification. Image processing algorithms, including Optical Character Recognition (OCR), enable accurate license plate recognition. …”
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Remote sensing estimation of chlorophyll content in rape leaves in Weibei dryland region of China by Xia Liheng, Zhang Panpan, Shi Lei, Wang Kun, Zhang Tingyu

“…With modeling R 2 surpassing 0.77 and reaching a maximum of 0.91, validation further demonstrated R 2 exceeding 0.73, with a maximum of 0.92, root mean square error ranging between 1.32 and 3.22, and relative error between 2.50 and 4.49%. …”
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Advanced removal of butylparaben from aqueous solutions using magnetic molybdenum disulfide nanocomposite modified with chitosan/beta-cyclodextrin and parametric evaluation through... by Saeed Hosseinpour, Alieh Rezagholizade-shirvan, Mohammad Golaki, Amir Mohammadi, Amir Sheikhmohammadi, Zahra Atafar

“…Butylparaben extraction performance reaches its maximum level while resource utilization improves throughout the entire extraction technique under the established optimal conditions. …”
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Optimization of the Inorganic Salts in Coenzyme Q₁₀ Fermentation Medium of <i>Rhodobacter sphaeroides</i> Based on Uniform Design and Artificial Neural Network and Genet... by Yi Zheng, Yujun Xiao, Shuling Tang, Junpeng Li, Yingzi Wu, Yong Zhou

“…Ultimately, the fermentation yield of CoQ₁₀ could reach 255.36 mg·L⁻¹. ANN-GA exhibited a superior prediction capability compared to UD. …”
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Optimization method for educational resource recommendation combining LSTM and feature weighting by Meixia Yang

“…In practical applications, the accuracy of classifying educational resource data on Xuetang Online website and Tencent Classroom reached 0.99, and the recommendation satisfaction rate reached 0.8. …”
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Image Steganography by Using Multiwavelet Transform by Baghdad Science Journal

“…in frequency domain control the quality of the stego images. The proposed algorithm is compared with wavelet based algorithm which shows a favorable results in terms of PSNR reaches to 18 dB.…”
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A Simple Control Strategy for Planar 2R Underactuated Robot via DEA Optimization by Zixin Huang, Xiangyu Gong, Xiao Wan, Hongjian Zhou

“…The differential evolution algorithm (DEA) is used to optimize the parameters of the PD controller to obtain the best control effect and make each link reach the target state. …”
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Prediction of old goaf residual subsidence integrating EDS-InSAR with EsLSTM in the Loess Plateau, China by Fei Ma, Fei Ma, Qingbin Zhang, Lichun Sui

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Integrating agent-based models and clustering methods for improving image segmentation by Erik Cuevas, Sonia Jazmín García-De-Lira, Cesar Rodolfo Ascencio-Piña, Marco Pérez-Cisneros, Sabrina Vega

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Ultra-Broadband, Polarization-Independent, and Wide-Angle Near-Perfect Absorber in Mid-Infrared With One-Dimensional Metasurface for Radiative Cooling by Linsong Wu, Shujing Chen, Chengyou Lin

“…Moreover, the average absorption for unpolarized light reaches 94.1%. Then, we also examine how each layer in the proposed absorber impacts the absorption characteristics. …”
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Evolutionary Cost Analysis and Computational Intelligence for Energy Efficiency in Internet of Things-Enabled Smart Cities: Multi-Sensor Data Fusion and Resilience to Link and Devi... by Khalid A. Darabkh, Muna Al-Akhras

“…The throughput improvements reach 67% over PSO-EEC, 59% over LDIWPSO, 53% over OFCA, and 50% over NPSOP. …”
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Modular Coordination of Vehicle Routing and Bin Packing Problems in Last Mile Logistics by Nikica Perić, Anđelko Kolak, Vinko Lešić

“…The method iteratively adjusts virtual volumes until reaching near-optimal routes that respect bin-packing constraints. …”
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Optimized Metamaterials for Design of Enhanced-Performance High Order Mode Dipole-Driven Yagi-Uda Antenna for Millimeter Wave Applications by Bashar A. F. Esmail, Dustin Isleifson, Slawomir Koziel, Anna Pietrenko-Dabrowska

“…The metamaterial array was optimized using the trust-region (TR) algorithm, resulting in a significant gain enhancement, reaching 13.8 dBi at 28 GHz while maintaining the operational bandwidth in terms of impedance matching. …”
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Predicting specific wear rate of laser powder bed fusion AlSi10Mg parts at elevated temperatures using machine learning regression algorithm: Unveiling of microstructural morpholog... by Vijaykumar S. Jatti, R. Murali Krishnan, A. Saiyathibrahim, V. Preethi, Suganya Priyadharshini G, Abhinav Kumar, Shubham Sharma, Saiful Islam, Dražan Kozak, Jasmina Lozanovic

“…Experiments using a dry sliding wear rig shown that wear loss in AlSi10Mg print specimens increased with temperature and load, reaching a maximum wear rate of 1.5444E-06 mm3/Nm at 200 °C, 10 N, and 1.2 m/s, compared to the minimum wear rate of 6.4672E-07 mm3/Nm seen at 100 °C, 20 N, and 1.4 m/s. …”
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Mechanism-learning prediction model for pitting depth of buried pipeline based on HMOGWO-RF by Fulin SONG, Hong ZHAO, Xingyuan MIAO

“…By leveraging the combination of the three-objective HMOGWO algorithm and the RF model, it significantly outperformed the three-objective MOGWO algorithm, the two-objective HMOGWO algorithm, the two-objective MOGWO algorithm, as well as both the single-objective GWO algorithm and the single-objective PSO algorithm in terms of prediction performance and stability. …”
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