Adaptive rumor propagation and activity contagion in higher-order networks by Yafang Dong, Liang’an Huo, Matjaž Perc, Stefano Boccaletti

“…Abstract Rumors in social systems are omnipresent. While traditional models focus on pairwise interactions, the collective effects of group interactions are insufficiently explored. …”
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Event-based Controller Design for Networked Control Systems with Time-varying Random Delays by Beheshte Sadeghi Sabzevari, Mohammad Haddad Zarif, Seyed Kamal Hosseini Sani

“…The validity of the proposed algorithm is confirmed via simulation results and the results are well compared with results from exerting event-triggered and self-triggered control individually.…”
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DCOOL: Dynamic computation offloading and resource allocation for LEO satellite-assisted edge computing in a ground-space integrated framework by Jeonghwan Kim, Jeongho Kwak

“…Using Lyapunov optimization, we propose an efficient DCOOL algorithm to minimize average power consumption and propagation delay constrained by queue stability. …”
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Detecting unsafe behavior in neural network imitation policies for caregiving robotics by Andrii Tytarenko

“…This paper explores the application of imitation learning in caregiving robotics, aiming at addressing the increasing demand for automated assistance in caring for the elderly and disabled. While leveraging advancements in deep learning and control algorithms, the study focuses on training neural network policies using offline demonstrations. …”
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THE STRATEGY OF FORMATION OF THE CONTENT OF TEACHING A FOREIGN LANGUAGE AS A REFLECTION OF SOCIO-CULTURAL DETERMINANTS OF MODERN SOCIETY by Telman Garikovich Grigoryan

“…This includes the study of such aspects of the problem as allocation of the main algorithm of realization of strategy. Under cosideration are the main components of content of teaching and the competences developed on their basis in the Russian system. …”
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RIS-assisted terahertz frequency band vehicle network capacity optimization by Fatang CHEN, Xiaoling LIU, Dan WANG, Ruofan ZHANG

“…In order to alleviate the spectrum scarcity and capacity limitation of the current wireless system, the terahertz frequency band was introduced and the reconfigurable intelligent surface (RIS) was used for auxiliary communication to construct a downlink vehicle network.Considering the constraints of limited total system power, QoS constraints of cellular mobile users, and randomness constraints of vehicle and user locations, a hybrid optimization model was established for optimal power allocation and optimal deployment of RIS with the aim of maximizing the total rate of vehicle users.Based on the balance method, linear transformation method, and element elimination method, the original NP-hard problem was transformed into a convex optimization problem with complex correlation constraints and multivariate coupling.The inner layer iteration was based on the Lagrange multiplier method to solve the optimal power allocation, and the outer layer iteratively solved the optimal deployment of RIS based on a improved genetic algorithm.The simulation results show that rationally deploying the number and distribution density of RIS nodes based on optimal power allocation can save costs while achieving a higher target total capacity.…”
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An efficient homogenization method using the trigonometric interpolation and the fast fourier transform by Ngoc-Trung Nguyen, Christian Licht, Jin-Hwe Kweon

“… This study focuses on formulation of the Augmented Lagrangian and application of the Uzawa's algorithm to solve the homogenization problem of microscopic periodic media as in composites. …”
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An optimization approach for blood supply chain management integrating drone delivery method by Mayuri K. N, Gowsalya M.

“…We proposed an optimization model that uses mixed integer non-linear programming (MINLP) with Dijkstra’s algorithm. This model considers drone capabilities such as payload capacity, travel speed, and range. …”
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Impulsive Sound Detection Directly in Sigma-Delta Domain by Igor Dantas dos Santos MIRANDA, Antonio C. de C. LIMA

“…Recent implementations of Sigma-delta converters have achieved low cost, low power consumption and high integration while maintaining resolution as high as in Nyquist-rate converters. …”
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The Effect of Real-time Headbox Adjustments on Data Quality by Pieter Blignaut

“…Eye trackers can be expected to present data at a high speed, with good accuracy and precision, small latency and with minimal loss of data while allowing participants to behave as normally as possible. …”
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Analisa Data Penjulan pada Toko Kelontong Musyawarah Menggunakan Algoritma Apriori by Kirana Anastasya Afika Putri Hilman Hilman

“…This study aimed to determine the pattern of the high frequency of items sold in the Musyawarah grocery store using data mining methods. The Apriori algorithm analyzes sales transactions at the Musyawarah grocery store. …”
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Stochastic Planning of Synergetic Conventional Vehicle and UAV Delivery Operations by Konstantinos Kouretas, Konstantinos Kepaptsoglou

“…A nested genetic algorithm is initially used to solve the problem under fixed conditions. …”
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Texture mapping of warp knitted shoe upper based on ARAP parameterization method by Guilong Cheng, Aijun Zhang, Yanting Zhang

“…Additionally, discrete harmonic and parametric optimization unfolding algorithms are employed to enhance texture mapping quality. …”
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Simulation-Based Assessment of the Control of a Hybrid ECS Including a Vapor Cycle System by Arnav Pathak, Victor Norrefeldt

“…The interfacing reveals that some optimization of the control algorithm is possible for the hybrid ECS, while some operational points already perform as intended. …”
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Design and Analysis of Parallel Adjusting Equipment of Vertical Drilling by Zhou Bin, Zeng Yishan, Zi Bin

“…Focusing on the current limited vertical adjustment technique of large-scale drillings,a 6-DOF parallel adjustment equipment with 12 inputs is designed for the working condition of vertical drilling.The equipment mechanism consists of 6branched chains with redundancy which are symmetrical in structure.Each of the chains is composed by a compound of rotate joint and a compound of spherical joint,while the two pairs are connected by two prismatic pairs.The modal analysis is carried out on the body which is based on ANSYS software,first six order frequency distribution and modal vibration mode,and along the X、Y、Zdirection of the displacement frequency response about the moving platform are got.The analysis consequence shows that the most sensitive of external forces to the moving platform is 46 Hz frequency.Otherwise,the working space of the 6-DOF platform is obtained by using the 3-D searching algorithm.The results have significant meanings in the further research on the correlation between the parameters and the whole mechanism,as well as the optimization of the parameter.…”
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ProCAPTCHA: A profile-based CAPTCHA for personal password authentication. by Nilobon Nanglae, Pattarasinee Bhattarakosol

“…Performance evaluation shows that ProCAPTCHA can identify legitimate users with 100% accuracy, while only 60% of intruders are misclassified as true users. …”
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Quantum reinforcement learning in continuous action space by Shaojun Wu, Shan Jin, Dingding Wen, Donghong Han, Xiaoting Wang

“…Quantum reinforcement learning (QRL) is a promising paradigm for near-term quantum devices. While existing QRL methods have shown success in discrete action spaces, extending these techniques to continuous domains is challenging due to the curse of dimensionality introduced by discretization. …”
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Development of an AI-Based Self-Diagnosis System for Tropical Diseases by Muhammad Haris Nasri, Bayu Wibisanaa, Lilik Widyawati

“…However, challenges remain in cases with limited symptom data, indicating the need for further development to enhance algorithm performance and expand the clinical database…”
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Challenges and Ethical Considerations in Implementing Assistive Technologies in Healthcare by Eleni Gkiolnta, Debopriyo Roy, George F. Fragulis

“…Assistive technologies are becoming an increasingly important aspect of healthcare, particularly for people with physical or cognitive problems. While earlier research has investigated the ethical, legal, and societal implications of AI and assistive technologies, many studies have failed to address real-world obstacles such as data privacy, algorithm bias, and regulatory issues. …”
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Large language models design sequence-defined macromolecules via evolutionary optimization by Wesley F. Reinhart, Antonia Statt

“…Utilizing pre-trained language models can potentially reduce the need for hyperparameter tuning while offering new capabilities such as self-reflection. …”
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