Selecting the Strategic Port of “the Belt and Road” Based on the Global Network by Zihui Yang, Qingchun Meng, Chanjuan Li

“…Under “the Belt and Road” initiative, China promoted cooperation between domestic enterprises and international ports vigorously, which brought back fruitful results, while the rational selection of strategic pivots ports and the optimization of the layout of the port network are important guarantees to a further promotion to the economic development of “the Belt and Road” ports and give full play to the driving and radiation role of strategic pivots ports. …”
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Subsystem-Based Fault Detection in Robotics via <italic>L2</italic> Norm and Random Forest Models by Elham Abdullah Alamoudi

“…Our approach involves dividing the system into subsystems, processing signals from a single sensor type, and using optimal features derived from the <inline-formula> <tex-math notation="LaTeX">$L2$ </tex-math></inline-formula> norm for prediction via a random forest model for detection. …”
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Enhancing Lifetime and Reliability in WSNs: Complementary of Dual-Battery Systems Energy Management Strategy by Mehrshad Eskandarpour, Hossein Soleimani

“…Unlike previous approaches, this system enables simultaneous charging and load powering and is specifically optimized for energy-harvesting WSN environments. Simulation results in MATLAB/Simulink demonstrate that the system improves battery lifespan by up to 25% compared to conventional single-battery configurations, while ensuring stable voltage regulation and improved reliability under variable loads. …”
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Linear adaptive filtering of random sequences on basis of deterministic approach by V. A. Artemiev, A. O. Naumov, L. L. Kokhan

“…The optimal current estimate is based on both measurement results and extrapolated values. …”
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An Efficient Multiparty Threshold ECDSA Protocol against Malicious Adversaries for Blockchain-Based LLMs by Jing Wang, Xue Yuan, Yingjie Xu, Yudi Zhang

“…When compared with some related schemes, this optimization speeds up both the key generation and signing phases with constant rounds while maintaining security against malicious adversaries.…”
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Energy-Efficient Adaptive Routing and Context-Aware Lifetime Maximization in Wireless Sensor Networks by Shaohua Wan

“…We design and implement a Bezier-based multipath routing algorithm that allows a given source node to send samples of data to a given sink node in large scale sensor networks. …”
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Hydrofoil Installation and Performance Optimisation for Ship Resistance Reduction in Trimaran Through Particle Swarm Optimisation Method by Ghadimi Aliakbar, Ghadimi Parviz, Ghassemi Hassan

“…The primary aim of this hydrofoil is to reduce the overall resistance while the ship is moving. This study focuses on minimising the ship’s total resistance. …”
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CBID: A Scalable Method for Distributed Data Aggregation in WSNs by Aristides Mpitziopoulos, Damianos Gavalas, Charalampos Konstantopoulos, Grammati Pantziou

“…Herein we present CBID, a novel algorithm that calculates near-optimal routes for MAs that incrementally fuse the data as they visit the Sensor Nodes (SNs) while also enabling fast updates on the designed itineraries upon changes of network topology. …”
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Intelligent resource scheduling scheme for UAV swarm collaborative sensing by ZHAO Pengcheng, LI Tianyang, LENG Supeng, XIONG Kai

“…Furthermore, a multi-agent reinforcement learning (MARL) algorithm with an attention mechanism was employed to solve the optimization problem, enabling agents to extract critical environmental features more effectively. …”
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Multi-keyword attribute-based searchable encryption scheme supporting re-encryption for cloud storage by ZHANG Kejun, WANG Wenbin, XU Shaofei, YU Xinying, WANG Jun, LI Pengcheng, QIAN Rong

“…The keyword encryption process was optimized for trapdoor indistinguishability and restricted user search capabilities. …”
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Variational Quantum Simulation: A Case Study for Understanding Warm Starts by Ricard Puig, Marc Drudis, Supanut Thanasilp, Zoë Holmes

“…While our main focus is on this case study of variational quantum simulation, we end by discussing how our results work in other iterative settings.…”
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A grid-based reliable multi-hop routing protocol for energy-efficient wireless sensor networks by Zhansheng Chen, Hong Shen

“…In order to minimize and balance the energy consumption, our proposed protocol, grid-based reliable multi-hop routing protocol, optimizes the cluster head election process by combining individual ability which consists of node’s residual energy and node’s location, and local cognition which can balance energy consumption among clusters via a consultative mechanism based on cluster head’s lifetime expectancy, while considering data forwarding delay and reliable transmission of data. …”
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Multi-keyword attribute-based searchable encryption scheme supporting re-encryption for cloud storage by ZHANG Kejun, WANG Wenbin, XU Shaofei, YU Xinying, WANG Jun, LI Pengcheng, QIAN Rong

“…The keyword encryption process was optimized for trapdoor indistinguishability and restricted user search capabilities. …”
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Physical Activity Recognition Utilizing the Built-In Kinematic Sensors of a Smartphone by Yi He, Ye Li

“…A hierarchical classifiers system including fourteen classifiers was proposed and employed to recognize fifteen activities. The optimal features derived from the built-in kinematic sensors of the smartphone were selected from 140 features. …”
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Vehicle Routing Problem for Collaborative Multidepot Petrol Replenishment under Emergency Conditions by Guangcan Xu, Qiguang Lyu

“…Meanwhile, usage of distribution trucks is optimized in the distribution network, that is, usage of single- and double-compartment trucks is reduced while that of three-compartment trucks is increased. …”
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Enhancing water saturation predictions from conventional well logs in a carbonate gas reservoir with a hybrid CNN-LSTM model by Ali Gohari Nezhad, Mohammad Emami Niri

“…The methodology includes data pre-processing to de-noise and transform data into a proper format, feature engineering followed by feature selection based on domain knowledge, models’ training, testing, and optimizing. XGBoost hyperparameters were tuned using grid search, and each neural network model was optimized using a genetic algorithm. …”
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A Distribution Model for Shared Parking in Residential Zones that Considers the Utilization Rate and the Walking Distance by Wenhui Zhang, Fan Gao, Shurui Sun, Qiuying Yu, Jinjun Tang, Bohang Liu

“…The particle swarm optimization (PSO) algorithm is used to solve this model. …”
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Impacts of inter-train distances on aerodynamic drag reduction in heavy-haul train groups by LYU Jun, XIANG Tao, SONG Zongying, GAO Guangjun

“…In summary, optimization of aerodynamic characteristics for trailing trains in group operation occurs at spacings of less than 700 meters, achieving the optimal drag reduction effect when the spacing is reduced to 200 meters.…”
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Estimating the Risk of Lower Extremity Complications in Adults Newly Diagnosed With Diabetic Polyneuropathy: Retrospective Cohort Study by Alyce S Adams, Catherine Lee, Gabriel Escobar, Elizabeth A Bayliss, Brian Callaghan, Michael Horberg, Julie A Schmittdiel, Connie Trinacty, Lisa K Gilliam, Eileen Kim, Nima S Hejazi, Lin Ma, Romain Neugebauer

“…Additional research will be needed to identify optimal contexts and strategies for maximizing algorithmic fairness in both interpretation and deployment.…”
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SMART DShot: Secure Machine-Learning-Based Adaptive Real-Time Timing Correction by Hyunmin Kim, Zahid Basha Shaik Kadu, Kyusuk Han

“…Our approach addresses critical vulnerabilities in Electronic Speed Controller (ESC) interfaces by deploying four synergistic algorithms—Kalman Filter Timing Correction (KFTC), Recursive Least Squares Timing Correction (RLSTC), Fuzzy Logic Timing Correction (FLTC), and Hybrid Adaptive Timing Correction (HATC)—each optimized for specific error characteristics and attack scenarios. …”
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