Optimizing quantum convolutional neural network architectures for arbitrary data dimension by Changwon Lee, Israel F. Araujo, Dongha Kim, Junghan Lee, Siheon Park, Ju-Young Ryu, Ju-Young Ryu, Daniel K. Park, Daniel K. Park

“…., the number of features) of the input data that can be processed, restricting the applicability of QCNN algorithms to real-world data. To address this issue, we propose a QCNN architecture capable of handling arbitrary input data dimensions while optimizing the allocation of quantum resources such as ancillary qubits and quantum gates. …”
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Multivariate time series clustering analysis of the Global Dietary Database to uncover patterns in dietary trends (1990–2018) by Adriano Matousek, Tiffany H Leung, Herbert Pang

“…Results: In a three-class test specific to the domain, the MTSclust programme achieved a mean accuracy of 71·5 % (adjusted Rand Index [ARI] = 0·381) while the mean accuracy of a popular algorithm, DTWclust, was 58 % (ARI = 0·224). …”
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Research on Modern Power Spectral Estimation on Radar Velocity Measurement by MEI Jialun, WANG Xiao, BAO Yansheng

“…Radar velocity measurement was widely used in the rail transit, while the algorithm was the key to the system. Relevant contents of the classical power spectral estimation and modern power spectral estimation were introduced, the latter was expounded emphatically. …”
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Deployment scheme of RSU based on connection time in VANET by Zhengchao DING, Zhenchun WEI, Lin FENG

“…For the roadside unit (RSU) placement problem in vehicular Ad Hoc network (VANET),the deployment scheme of RSU based on connection time was proposed.The scheme find the optimal positions of RSU for maximizing the number of vehicles while ensuring a certain level of connection time under the limited number of RSU.The problem was modeled as a maximum coverage problem,and a binary particle swarm algorithm was designed to solve it.The simulation experiment was carried out with the real Beijing road network map and taxi GPS data.The simulation results show that the algorithm is convergent,stable and feasible.Compared with the greedy algorithm,the proposed scheme can provide continuous network service for more vehicles.…”
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Deployment scheme of RSU based on connection time in VANET by Zhengchao DING, Zhenchun WEI, Lin FENG

“…For the roadside unit (RSU) placement problem in vehicular Ad Hoc network (VANET),the deployment scheme of RSU based on connection time was proposed.The scheme find the optimal positions of RSU for maximizing the number of vehicles while ensuring a certain level of connection time under the limited number of RSU.The problem was modeled as a maximum coverage problem,and a binary particle swarm algorithm was designed to solve it.The simulation experiment was carried out with the real Beijing road network map and taxi GPS data.The simulation results show that the algorithm is convergent,stable and feasible.Compared with the greedy algorithm,the proposed scheme can provide continuous network service for more vehicles.…”
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EM-based blind LDPC identification in multipath channels by Yu LIU, Fanggang WANG, Jingwen ZHANG, Bo AI, Zhangdui ZHONG

“…As the advent of cognitive radios,blind encoder identification has attracted increasingly attentions since it plays an important role.The existing works mainly focus on additive white Gaussian noise (AWGN) channel,while the blind identification in multipath scenarios has not been sufficiently investigated.Considering the blind low density parity-check (LDPC) codes identification in the presence of unknown multipath fading channel,a likelihood-based classifier was proposed using the expectation maximization (EM) algorithm to obtain the maximum likelihood estimates of the unknown parameters.Then,an average log-likelihood ratio (LLR) estimator was adopted to classify the unknown encoder.Numerical results show that the proposed algorithm provides promising identification performance in multipath channels,especially in the low signal-to-noise ratio region.…”
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MULTI-OBJECTIVE OPTIMIZATION OF A MEDICAL ROBOT MODEL IN TRANSIENT STATES by Grzegorz ILEWICZ, Andrzej HARLECKI

“…In order to uncover the optimal solution, a multi-objective genetic algorithm was used, guaranteeing the optimality of the manipulator model in the Pareto sense. …”
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Unveiling the Shadows—A Framework for APT’s Defense AI and Game Theory Strategy by Pedro Brandão, Carla Silva

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Analysis of Receiver Operating Characteristic Curves for Cure Survival Data and Mismeasured Biomarkers by Li-Pang Chen

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Optimizing Residential Electricity Demand with Bipartite Models for Enhanced Demand Response by Jonathan Campoverde, Marcelo Garcia Torres, Luis Tipan

“…The methodology relies on linear programming, specifically the Simplex algorithm, to optimize power distribution while minimizing costs. …”
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Multi-objective multi-workflow task offloading based on evolutionary optimization by Teliekebieke Misha, Lisheng Sun, Zheng-yi Chai

“…Simulation results demonstrate that our algorithm optimally balances delay and energy consumption requirements compared to existing methods, while enhancing the diversity and convergence of non-dominated solutions.…”
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Grover on KATAN: Quantum Resource Estimation by Mostafizar Rahman, Goutam Paul

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Scheduling of home energy management systems for price-based demand response and end-users discomfort reduction by Kamyab Gholam-Reza

“…This approach ensures substantial decreases in electricity expenses while avoiding unnecessary increases in the discomfort index.…”
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Optimization model of electricity metering management based on MOPSO by Sheng Li, Xiaodan Zhou

“…The study uses Schaffer and Griewank functions to test its performance. The optimized algorithm performed well on both Schaffer and Griewank functions, indicating that the algorithm still had high computational efficiency while ensuring computational accuracy. …”
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The Influence of Three Parent Crossbreeding on the Dual Population Genetic Algortihm by Esra'a Alkafaween, Obada Alhabashneh, Maram M. Al-Mjali

“…Crossover combines genetic material from two parents to create offspring, maintaining diversity and preventing premature convergence. While the two parents are typically used, multi-parent crossover, involving more than two parents, has shown superior results. in this paper is explored the multi-parent crossover in dual genetic algorithms, which facilitate information exchange between populations through interpolation crossbreeding. …”
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Enhancing Fairness in Autonomous Vehicles: Proof of Confidence With Blockchain Technology by Jimin Ryu, Yong Ik Yoon

“…Unlike existing mechanisms, such as Proof of Work and Proof of Stake, PoC is designed to improve transaction efficiency while maintaining strong data integrity and supporting fair decision-making processes in dynamic driving environments. …”
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Measuring and Rating Socioeconomic Disparities among Provinces: A Case of Türkiye by Emre Akusta

“…In general, the provinces in western Türkiye have a high socioeconomic index, while the provinces in eastern and southeastern Anatolia face serious challenges in terms of socioeconomic indicators.…”
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Research on Personnel Image Segmentation Based on MobileNetV2 H-Swish CBAM PSPNet in Search and Rescue Scenarios by Di Zhao, Weiwei Zhang, Yuxing Wang

“…Compared to the ResNet50 version, parameters are reduced by approximately 18.6 times, while detection accuracy improves, underscoring the efficiency and practicality of the proposed algorithm.…”
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Robust Data Reconciliation in Supercritical Carbon Dioxide Thermal Systems: From Framework Design to Performance Evaluation by Jiarui You, Yikang Liu, Yonghui Xie

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Real-time Smartphone Usage Surveillance System Based on YOLOv5 by Rr. Hajar Puji Sejati, Rodhiyah Mardhiyyah, Zulkhairi Zulkhairi, Nur Istiqomah, R. Imam Budi Prasetya

“…The supervision can be done by utilizing a camera to detect a smartphone. The YOLOv5 algorithm was used, which is known for its good speed and accuracy in object detection. …”
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