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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Optimal Guidance Law for Critical Safe Miss Distance Evasion by Chengze Wang, Jiamin Yan, Rui Lyu, Zhuo Liang, Yang Chen

“…If the evader effectively utilizes perceptual information, they can narrowly escape the lethal zone while minimizing energy consumption, thereby avoiding excessive and unnecessary maneuvers. …”
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Patterns of Open Innovation Between Industry and University: A Fuzzy Cluster Analysis Based on the Antecedents of Their Collaboration by Marius Băban, Călin Florin Băban

“…Using the typical value of the fuzzifier factor of this algorithm equal to 2, three distinct clusters were identified with respect to these antecedents as low, insecure, and responsive open innovators. …”
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Impact of the Global Financial Crisis on the Business Cycle in the Visegrad Group by Bartosz Pawęta

“…Research Design & Methods: Visegrad Group’s business cycles were determined by employing Hodrick and Prescott filter to extract cyclical fluctuations, while Bry and Boschan algorithm was applied to identify the turning points of the cycles. …”
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Integrating distributed photovoltaic and energy storage in 5G networks for sustainable IoT applications by Yi Zhong, Yiting Wu, Yi Zheng, Xiaohu Ge

“…By utilizing IoT characteristics, we propose a dual-layer modeling algorithm that maximizes carbon efficiency and return on investment while ensuring service quality. …”
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Automatic Optimal Design Method for Minimum Total Resistance Hull Based on Enhanced FFD Method by Shuhui Guo, Baoji Zhang, Zheng Tian, Jie Liu, Hailin Tang

“…To this end, an integrated, fully automated optimization program was developed based on Python, incorporating Enhanced Free-Form Deformation (FFD) technology, scripted CFD numerical evaluation, and the Particle Swarm Optimization (PSO) algorithm. This program allowed precise control of hull form, improving efficiency while reducing costs. …”
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Neural Network-Based Imitation Learning for Approximating Stochastic Battery Management Systems by Andrea Pozzi, Alessandro Incremona, Daniele Toti

“…Specifically, the proposed method leverages the Dataset Aggregation algorithm to overcome the issue of distributional shift, a common limitation in imitation learning frameworks. …”
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Dynamic trajectories of land use and land cover changes in Lombok Island, West Nusa Tenggara, Indonesia by H. Oğuz Çoban, Miftahul Irsyadi Purnama

“…These findings underscore the urgent need for sustainable land management policies to balance development and ecological preservation while mitigating future forest losses.…”
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Research on wear and grinding models of high-speed turnouts based on semi-Hertz contact by Jincheng Li, Yayun Qi, Pengpeng Wu, Junjun Ding, Haohao Ding

“…The ideal profile update step for the turnout rail is 0.05 mm, and the adaptive filtering algorithm, tailored to the turnout characteristics, smooths wear distribution effectively while retaining crucial data features. …”
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