High-Performance Deployment Operational Data Analytics of Pre-Trained Multi-Label Classification Architectures with Differential-Evolution-Based Hyperparameter Optimization (AutoDE... by Teo Prica, Aleš Zamuda

“…In this differential evolution (DE) optimization use case, we analyze how energy efficiently the DE algorithm performs with different DE strategies and ML models. …”
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Dynamic Vehicle Routing Problems with Enhanced Ant Colony Optimization by Haitao Xu, Pan Pu, Feng Duan

“…Experimental results show that the algorithm is feasible and efficient.…”
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Wide-Range Variable Cycle Engine Control Based on Deep Reinforcement Learning by Yaoyao Ding, Fengming Wang, Yuanwei Mu, Hongfei Sun

“…In addition, it reduces response time by an average of 44.5%, while maintaining a similar overshoot level to that of the PID controller.…”
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Efficient and systematic calculation of arbitrary observables for the matrix product state excitation ansatz by Jesse J. Osborne, Ian P. McCulloch

“…Although this excitation ansatz has been used quite extensively, a general method for calculating expectation values for these states is lacking in the literature: We aim to fill this gap by presenting a recursive algorithm to calculate arbitrary observables expressed as matrix product operators. …”
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Hybrid vegetation-seawall coastal systems for wave hazard reduction: analytics for cost-effective design from optimized features by Erfan Amini, Reza Marsooli, Somayeh Moazeni, Bilal M. Ayyub

“…However, optimizing hybrid vegetation-seawall solutions to enhance coastal protection while addressing varying risk tolerances is a challenging task. …”
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An Efficient Fine-Grained Access Control Scheme Based on Policy Protection in SGs by Xiaoqing Guo, Huayi Wu, Zhen Qin, Ruonan Ying, Jilai Yang

“…Security analysis demonstrates that the proposed scheme meets the defined security requirements, while performance evaluation indicates that it incurs minimal computational overhead while achieving enhanced privacy protection.…”
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A mathematical model for hybrid-electric propulsion system for regional propeller-driven aircraft by Giuseppe Grazioso, Mario Di Stasio, Fabrizio Nicolosi, Salvatore Trepiccione

“…A powerplant management algorithm enhances adaptability to varying power demands while ensuring a physically consistent solution. …”
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The Agglomeration of Food Services and Their Colocation with Surrounding Complementary Services in the Guangdong–Hong Kong–Macao Greater Bay Area by Yixiao Wang, Xibo Wu, Jian Qin, Xiaoying Zhang, Xiangyu Wang

“…It investigates these issues within the Guangdong–Hong Kong–Macao Greater Bay Area (GBA), utilizing point-of-interest (POI) data, spatial kernel density, the HDBSCAN clustering algorithm, and colocation quotients. The findings are as follows: (1) this research reveals a significant spatial agglomeration of food services near the Pearl River, with notable food clusters across administrative boundaries; (2) Guangzhou, Shenzhen, Foshan, and Dongguan provide a significant quantity of food services, while Hong Kong and Macao feature the highest percentages of foreign cuisine; (3) the colocation between food services and surrounding services is concentrated along the Pearl River; (4) leisure, education, and residential services are key factors attracting the proximity of food services; (5) leisure, education, retail, and tourism services exhibit the strongest attractiveness to Chinese food, while residential and healthcare services are closely linked to the distribution of snacks, and transportation services attract snacks and beverages.…”
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Research progress on iatrogenic risks based on Internet of Things medical technology: a systematic literature review by Guangwei DENG, Shimin LI, Liang LIANG, Chengchao ZHOU

“…The research finds that algorithm limitations and cybersecurity issues are the main factors contributing to active iatrogenic risks, while human-machine integration challenges and loose regulatory environments are the primary factors leading to latent iatrogenic risks. …”
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ApproximateSecret Sharing in Field of Real Numbers by Jiaqi Wan, Ziyue Wang, Yongqiang Yu, Xuehu Yan

“…To address these issues, this paper proposes an innovative algorithm to optimize SSS via type-specific coding for real numbers. …”
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Quality-Based Backlight Optimization for Video Playback on Handheld Devices by Liang Cheng, Shivajit Mohapatra, Magda El Zarki, Nikil Dutt, Nalini Venkatasubramanian

“…Specifically, we present a fast algorithm to optimize backlight dimming while keeping the degradation in image quality to a minimum so that the overall service quality is close to a specified threshold. …”
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A lightweight steel surface defect detection network based on YOLOv9 by Tianyi Zheng, Ling Yu, Yongbao Shi, Fanglin Niu

“…This approach improves the model’s feature extraction capability while reducing its parameter count. Experimental results show that, on the NEU-DET dataset, CCSS-YOLO improves average detection accuracy by 1.9% compared to the original YOLOv9 model, reduces parameters by 25.4%, and decreases FLOPs by 15.6%. …”
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Analysis of power system transient stability with PSO-optimized distributed generation and HVDC transmission systems by Jiyeon Jang, Youngmin Gong, Seunghong Min, Insu Kim

“…The study used a particle swarm optimization (PSO) algorithm to ensure reliable and feasible DG deployment. …”
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Development of a software platform for automatic train operation: Integrating meso- and microscopic layers by Daniel Bilbao-Moreno, Iker Elorza, Eloy Irigoyen

“…A simplified model is employed in the mesoscopic layer to enhance planning capabilities and facilitate efficient decision-making processes, while a detailed model represents the physical system. …”
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Optimizing FCN for devices with limited resources using quantization and sparsity enhancement by Muhammad Faizan-Khan, Nisar Ali, Raja Hashim Ali, Areej Alasiry, Mehrez Marzougui, Shabbab Ali Algamdi, Yunyoung Nam

“…To fill this gap, we propose an innovative approach utilizing full-layer quantization with an $$L_2$$ error minimization algorithm, accompanied by sensitivity analysis to optimize fixed-point representation of network weights. …”
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Sentiment Analysis of User Reviews on the Game GTA V Using Support Vector Machine by Adika Kaka Saputra, Maya Rini Handayani, Nur Cahyo Hendro Wibowo, Khothibul Umam

“…Results show that 88.8% of reviews are positive, while 11.2% are negative. The SVM model achieved an accuracy of 94.2% and an F1-score of 94.2%, indicating high reliability. …”
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Traffic Conflict Prediction for Sharp Turns on Mountain Roads Based on Driver Behavior Patterns by Quanchen Zhou, Jiabao Zuo, Yafei Zhao, Mingwu Ren

“…The FP-Growth algorithm was used to identify frequent behavioral patterns and measure their relationship with traffic conflicts. …”
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The Intuitive Trap: Understanding Cognitive Bias in the Digital Age by Cansu Akoglan

“…The paper argues that while critical thinking is traditionally seen as an analytical activity, more is needed in the context of new media. …”
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Task offloading and resource allocation for blockchain‐enabled mobile edge computing by Renbin Fang, Peng Lin, Yize Liu, Yan Liu

“…The aim of the problem is to minimize the energy consumption of UTs while guaranteeing the delay requirement. By transforming the original problem into a Markov decision process, a collective reinforcement learning algorithm is proposed to solve the problem in an online fashion. …”
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Distance Estimation with a Stereo Camera and Accuracy Determination by Arnold Zaremba, Szymon Nitkiewicz

“…These results provide valuable information on the capabilities and limitations of the measurement system used, while pointing out directions for its further optimization.…”
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