Efficient Positive Semidefinite Matrix Approximation by Iterative Optimisations and Gradient Descent Method by Vali Asimit, Runshi Wang, Feng Zhou, Rui Zhu

“…Experiments on randomly generated data show that this method enjoys better resilience to noise while maintaining good accuracy. …”
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Visual Active SLAM Method Considering Measurement and State Uncertainty for Space Exploration by Yao Zhao, Zhi Xiong, Jingqi Wang, Lin Zhang, Pascual Campoy

“…By adopting the method above, the computing efficiency of the system is improved while the localization accuracy is equivalent to the classical ORB-SLAM2. …”
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Development and validation of a GC-ECD method for pesticide residue detection in flour by Margarita Timofejeva, Anita Najdenkoska, Biljana Bauer

“…This study aimed to optimize and validate a rapid, reliable and accurate method for quantitative determination of pesticide residues in flour matrix. …”
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Data anomaly repair method based on fuzzy voting and multi-segment interpolation by Yanling Lv, Qingdong Han, Shulei Xue

“…This approach not only enhances the quality of data interpolation but also optimally balances the training time cost. Finally, the proposed method was validated using real-world wind field data. …”
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A multimodal deep reinforcement learning approach for IoT-driven adaptive scheduling and robustness optimization in global logistics networks by Yao Lu

“…The proposed method maintains 83% performance stability during complex disruptions compared to 51–72% for alternative approaches, while keeping computational requirements feasible for practical deployment. …”
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YOLO-SDD: An Effective Single-Class Detection Method for Dense Livestock Production by Yubin Guo, Zhipeng Wu, Baihao You, Lanqi Chen, Jiangsan Zhao, Ximing Li

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Transverse abdominis plane block as a method of anesthesia after caesarean section by O. V. Riazanova, V. I. Shadenkov, R. V. Kapustin, I. Yu. Kogan

“…Therefore, it is necessary to look for new reliable technologies for optimal postoperative anesthesia.The objective was to compare the efficiency of postoperative wound infiltration with a local anesthetic and transverse abdominis plane block (TAP-block) as a component of multimodal analgesia in the postoperative period after cesarean section.Materials and methods. …”
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A CNN-Based Method for Quantitative Assessment of Steel Microstructures in Welded Zones by Cássio Danelon de Almeida, Thales Tozatto Filgueiras, Moisés Luiz Lagares, Bruno da Silva Macêdo, Camila Martins Saporetti, Matteo Bodini, Leonardo Goliatt

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Pig Aggression Tracking and Analysis Application Based on A RPMeMOTR Method by Shuqin Tu, Haoxuan Ou, Aqing Yang, Yun Liang, Jiaying Du, Yuefei Cao, Ruilin He, Fang Yuan

“…And using the RPMeMOTR method, compared to OC-SORT, there was a 4.1% increase in HOTA, a 7.4% increase in IDF1 and 28 reduces in IDs, while compared to ByteTrack, its improvements were 4.8% in HOTA,8.6% in IDF1 and 33 reduces in IDs. …”
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Finite Element Method for Time-Fractional Navier–Stokes Equations with Nonlinear Damping by Shahid Hussain, Xinlong Feng, Arafat Hussain, Ahmed Bakhet

“…We propose a hybrid numerical framework for solving time-fractional Navier–Stokes equations with nonlinear damping. The method combines the finite difference L1 scheme for time discretization of the Caputo derivative (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0</mn><mo><</mo><mi>α</mi><mo><</mo><mn>1</mn></mrow></semantics></math></inline-formula>) with mixed finite element methods (P1b–P1 and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>P</mi><mn>2</mn></msub></semantics></math></inline-formula>–<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>P</mi><mn>1</mn></msub></semantics></math></inline-formula>) for spatial discretization of velocity and pressure. …”
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Power-Efficient UAV Positioning and Resource Allocation in UAV-Assisted Wireless Networks for Video Streaming with Fairness Consideration by Zaheer Ahmed, Ayaz Ahmad, Muhammad Altaf, Mohammed Ahmed Hassan

“…The aim of this research is to maximize the overall users’ quality of experience in terms of power-efficient adaptive video streaming by fair distribution and smooth transition of video rates. The joint optimization includes power minimization, efficient resource allocation, i.e., transmit power and bandwidth, and efficient two-dimensional positioning of the UAV while meeting system constraints. …”
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A robust automated segmentation method for white matter hyperintensity of vascular-origin by Haoying He, Jiu Jiang, Sisi Peng, Chu He, Tianqi Sun, Fan Fan, Hao Song, Dong Sun, Zhipeng Xu, Shenjia Wu, Dongwei Lu, Junjian Zhang

“…We further compared our method against LGA, LPA, BIANCA, UBO-detector and TrUE-Net in optimized settings. …”
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Mcaaco: a multi-objective strategy heuristic search algorithm for solving capacitated vehicle routing problems by Yanling Chen, Jingyi Wei, Tao Luo, Jie Zhou

“…Combined with pheromone updating and Pareto front-end optimization, the method effectively resolves the conflict between vehicle capacity constraints and multi-objective optimization. …”
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Designing High‐Performance, Manufacturing‐Friendly Rotor Blades for Micro Wind Turbines via Cambered Plate Airfoil Optimization by Moritz Burmester, Abdullah Khisraw, Peter Dalhoff

“…ABSTRACT Conventional methods for manufacturing rotor blades, such as composite construction and die casting, are hindered by high costs due to expensive molds, while 3D printing often results in poor quality or high production costs with unfavorable cost‐per‐part scaling. …”
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Optimization and Dynamic Adjustment of Tandem Columns for Separating an Ethylbenzene–Styrene Mixture Using a Multi-Objective Particle Swarm Algorithm by Guangsheng Jiang, Yibo She, Zhongwen Song, Liwen Zhao, Guilian Liu

“…The variable-step adjustment method requires less time to reach a stable state, while the equal-step fluctuation method provides more stability. …”
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Unit-Centric Regularization for Efficient Deep Neural Networks by Carles R. Riera Molina, Eloi Puertas, Oriol Pujol

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Multi-objective recommendation system utilizing a multi-population knowledge migration framework by Liang Chu, Ye Tian

“…The first auxiliary population employs an HV-based multi-parent crossover method, while the second focuses on increasing the likelihood of generating highly novel solutions during crossover operations. …”
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A PRISMA systematic review through time on predictive musculoskeletal simulations by Menthy Denayer, Eligia Alfio, María Alejandra Díaz, Massimo Sartori, Friedl De Groote, Kevin De Pauw, Tom Verstraten

“…The second uses optimization, to make up for the lack of a neural model, like optimal control and deep reinforcement learning. …”
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Developing an efficient algorithm for robust school bus routing with heterogeneous fleet by Mohamad Ali Movafaghpour

“…The main advantage of this method over other present robust optimization methods is its emphasis on maintaining the feasibility of the optimal solution when dealing with the most diverse set of uncertainty scenarios while keeping the computational effort needed as low as desired.…”
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Fatigue and stamina prediction of athletic person on track using thermal facial biomarkers and optimized machine learning algorithm by P. K. Santhosh, B. Kaarthick

“…The complex background and improper environmental lighting conditions affects the identification of athlete’s facial expressions while playing. Existing methods use RGB and traditional night vision cameras for detecting athlete’s facial expressions that operates only in minimum lighting condition. …”
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