Variational Quantum Simulation: A Case Study for Understanding Warm Starts by Ricard Puig, Marc Drudis, Supanut Thanasilp, Zoë Holmes

“…The barren plateau phenomenon, characterized by loss gradients that vanish exponentially with system size, poses a challenge to scaling variational quantum algorithms. Here we explore the potential of warm starts, whereby one initializes closer to a solution in the hope of enjoying larger loss variances. …”
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Simulation of the 1d XY model on a quantum computer by Marc Farreras, Alba Cervera-Lierta

“…The scalability and high performance of our algorithm make it an ideal candidate for benchmarking purposes, while also laying the foundation for simulating other integrable models on quantum computers.…”
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An Improved Multipoint Relaying Scheme for Message Propagation in Distributed Peer-to-Peer System by Zhiping Liao, Song Liu, Shengfeng Xi

“…In this paper, we propose the algorithm of LMPR, a scheme of improved MPR for message propagation in distributed unstructured P2P system. …”
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A grid-based reliable multi-hop routing protocol for energy-efficient wireless sensor networks by Zhansheng Chen, Hong Shen

“…Due to the limited energy and the non-equivalence of wireless sensor network nodes, it is imperative to reduce and rationally use the energy consumption of the nodes to prolong the network lifetime. Clustering routing algorithm can address the problem efficiently. In this article, a grid-based reliable multi-hop routing approach for wireless sensor networks is proposed. …”
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A Novel Fault-Tolerant Information Fusion Method for Integrated Navigation Systems Based on Fuzzy Inference by Yixian Zhu, Minmin Zhang, Ling Zhou, Ting Cai

“…To enhance the precision and reliability of integrated navigation systems, a novel fault-tolerant information fusion algorithm based on a federated filter is proposed. …”
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Smart Energy Efficient Device-to-Multidevice Cooperative Clustering for Multicasting Content by Mateen Ashraf, Woon-Young Yeo, Miae Woo, Kyung-Geun Lee

“…In this paper, we propose transmitting the content from more than one cluster head simultaneously. A novel algorithm is proposed that selects the cluster heads to improve the data rate of the multicast communication while keeping the total transmit power from the cluster heads constant. …”
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16QAM Blind Equalization via Maximum Entropy Density Approximation Technique and Nonlinear Lagrange Multipliers by R. Mauda, M. Pinchas

“…Recently a new blind equalization method was proposed for the 16QAM constellation input inspired by the maximum entropy density approximation technique with improved equalization performance compared to the maximum entropy approach, Godard’s algorithm, and others. In addition, an approximated expression for the minimum mean square error (MSE) was obtained. …”
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Analysis of the generalization ability of neural networks based on the NN-MPS-interpolation model by Bo-Tao Wang, Zhe Sun, Li-Yuan Dou

“…A feedforward fully connected neural network interpolation model (NN-MPS-interpolation model) based on the backpropagation algorithm is developed. This model takes parameters with strong correlations to the pressure Poisson equation as inputs to output the desired pressure values, achieving predictions for high-resolution problems using low-resolution examples. …”
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Real-time motion detection using dynamic mode decomposition by Marco Mignacca, Simone Brugiapaglia, Jason J. Bramburger

“…Effectiveness is analyzed using receiver operating characteristic curves, while we use cross-validation to optimize the threshold parameter that identifies movement.…”
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Single‐stage AC–DC voltage regulator for 15 W wireless charging by X. Bai, Z. Kong, L. Siek

“…A single‐stage AC–DC voltage regulator is proposed to enhance the power efficiency while at the same time reducing the design complicity of the entire system. …”
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Impact of dimensionality reduction techniques on student performance prediction using machine learning by Koushik Roy, Huu-Hoa Nguyen, Dewan Md. Farid

“…The results show that ADRA achieves an average dimensionality reduction factor of 6.2 while maintaing comprable accuracy with other mehtods. …”
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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

“…A blockchain-based verification algorithm was designed to detect tampering of third-party data. …”
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Thermomechanical Coupling Analysis and Optimization of Metallic Thermal Protection System by Qiuyi Xu, Shu Li, Li Wang, Apeng Dong, Yang Meng

“…Combining the response surface method with genetic algorithm ensures the computational efficiency of this strategy. …”
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Physical Activity Recognition Utilizing the Built-In Kinematic Sensors of a Smartphone by Yi He, Ye Li

“…The results indicated that the accelerometer was significant to PA recognition, while gyroscope and orientation sensor were effective to recognize the change of body posture and detect falls, respectively. …”
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Synthesizing Recursive Logic Programs by Inverting General Resolution by Taosheng Qiu, Ryutaro Ichise

“…A fundamental scalability restriction of most Inductive Logic Programming (ILP) systems is that they search syntactically defined program spaces and cannot utilize relations in data. While semantic search methods that directly explain examples by inductive inference rules may utilize data relations to effectively prune the search space, in general logic programs, the compactness of the search space is often outweighed by the high complexity of inductive inference algorithms. …”
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Smart Attendance System for University Students Based on QR Code by ABU SNEINEH Anees, SALAH Wael A.

“…The developed system saving time while collecting students attendance at universities. …”
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Pricing Options Based on Trinomial Markov Tree by Hu Xiaoping, Guo Jiafeng, Du Tao, Cui Lihua, Cao Jie

“…Secondly, we give an algorithm for estimating the risk-neutral probability and provide the condition for the existence of a validation risk-neutral probability. …”
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A semi-automated pipeline for the segmentation of rhesus macaque hippocampus: validation across a wide age range. by Michael R Hunsaker, David G Amaral

“…Any systematic errors in the normalization process are corrected using a machine-learning algorithm that has been trained by comparing manual and automated segmentations to identify systematic errors. …”
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Automated mold defects classification in paintings: A comparison of machine learning and rule-based techniques. by Hilman Nordin, Bushroa Abdul Razak, Norrima Mokhtar, Mohd Fadzil Jamaludin, Adeel Mehmood

“…Results indicate that both methods improve the accuracy and precision of mold defect detection compared to no classifier. However, the CART algorithm exhibits superior performance, increasing precision by 32% to 53% while maintaining high accuracy (96%) even with an imbalanced dataset. …”
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New Simplified Method for Parameter Estimation of Three-Dimensional Channel Model in Third Generation Partnership Project by Hanene Zormati, Jalel Chebil, Jamel Belhadj Taher

“…For these reasons, a new simplified method for parameter estimation of the three-dimensional model of third generation partnership project based on estimation of signal parameters via rotational invariant techniques algorithm is proposed. The simplified model is less complex than the three-dimensional model of third generation partnership project and is found to perform better in terms of computational time while maintaining similar results.…”
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