A quantum multiplier based on the quantum Fourier transform algorithm by Qian Junkai, Zhu Jialiang, Ye Bin

“…Multiplier is one of the basic units in many quantum algorithms. In order to implement the multiplying operations and use as few auxiliary qubits in the quantum circuit as possible, a quantum multiplier based on the quantum Fourier transform is proposed. …”
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Algorithm Improvement for Mobile Event Detection with Intelligent Tunnel Robots by Li Wan, Zhenjiang Li, Changan Zhang, Guangyong Chen, Panming Zhao, Kewei Wu

“…Experimental results show that our fused algorithm achieves a 93.25% accuracy rate, an improvement of 1.75% over the baseline. …”
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Automated Chemical Shift Assignments of MAS Solid-State NMR Spectra of Complex Protein Systems by ssPINE/ssPINE-POKY by Andrea Estefania Lopez Giraldo, Mehdi Rahimi, Woonghee Lee

“…To address this, we introduce ssPINE-POKY, a user-friendly graphical user interface (GUI) integrated into the POKY suite. ssPINE-POKY streamlines the automation of spin system recognition and chemical shift assignment in multidimensional ssNMR spectra by integrating the ssPINE algorithm within an intuitive interface. …”
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An efficient algorithmic framework to minimize the summand matrix in binary multiplication by Amit Verma, Manish Prateek, Shiv Naresh Shivhare, Thipendra P. Singh, Anuj Kumar, Rakesh Ranjan, Rahul Priyadarshi

“…To address these issues, we propose a novel binary multiplication algorithm that minimizes the number of required summands. …”
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Electricity Load Forecasting Method Based on the GRA-FEDformer Algorithm by Xin Jin, Tingzhe Pan, Heyang Yu, Zongyi Wang, Wangzhang Cao

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Geometric Mean Rate Maximization in RIS-Aided mmWave ISAC Systems Relying on a Non-Diagonal Phase Shift Matrix by Jitendra Singh, Aditya K. Jagannatham, Lajos Hanzo

“…Furthermore, we compare the results to the pertinent benchmarks, which validate the effectiveness of our proposed algorithms.…”
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Critical soil moisture detection and water–energy limit shift attribution using satellite-based water and carbon fluxes over China by Y. Liu, J. Xiao, X. Li, Y. Li

“…<p>Critical soil moisture (CSM), a tipping point of soil moisture (SM) at which surface fluxes shift from the energy-limited regime to the water-limited regime, is essential for the vegetation state and the corresponding land–atmosphere coupling. …”
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RSU deployment planning based on approximation algorithm in urban VANET by Junyu ZHU, Chuanhe HUANG, Xiying FAN, Kuangyu QIN, Bin FU

“…To minimize the number of RSU deployed to cover a specific area,a c street model transforming the area covering problem to streets covering problem was designed,and a greedy-based polynomial (GBP) time approximation algorithm was developed to obtain the optimal RSU deployment for area coverage.For complex urban environments,a Cue model (complex urban environments model) was proposed.In this model,the target area was divided into different partitions.Then,based on shifting strategy,a polynomial time approximation scheme was designed.Theoretical analysis that include the approximation ratio and time complexity of the proposed algorithm were also presented.Simulation results show that GBP can efficiently solve the coverage problem in urban VANET.…”
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A Microwave Imaging Matrix Algorithm Based on Contrast Source by Meng Wang, Guizhen Lu, Junwen Chen

“…A microwave imaging matrix algorithm based on the contrast source is proposed. …”
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Image encryption algorithm based on improved Clifford chaotic system by Zhang Wenyu, Xing Rongying, Li Guodong

“…Simulation experiments and security analysis show that the algorithm is safe and reliable for image encryption.…”
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Hare escape optimization algorithm with applications in engineering and deep learning by Doaa Alsamee, Reza Ramezani

“…Unlike conventional nature-inspired algorithms, HEO integrates Levy flight dynamics and adaptive directional shifts to enhance the balance between exploration and exploitation, improving its ability to escape local optima and converge efficiently. …”
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An enhanced seasons optimization algorithm for numerical optimization and engineering design by Hojjat Emami, Mojtaba Fardi, Babak Azarnavid

“…Our key findings include: (i) ESO is the top-performing algorithm in 16 out of 25 of the numerical functions and 3 out of 4 engineering design problems; (ii) it achieved an average ranking of 3.68 in the Friedman test on all numerical benchmarks, outperforming all counterpart algorithms in solving numerical benchmarks; Meanwhile, the second-ranked THRO algorithm attains the average ranking of 4.5 on all functions; (iii) ESO generated the best results in shifted and composite numerical functions, and (iv) it obtained the best performance in the scalability analysis test on 1000-dimensional numerical problems.…”
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From algorithms to negotiations: Why health diplomacy must adapt. by Brian Li Han Wong, Garry Aslanyan, Warisa Panichkriangkrai, Ricardo Baptista Leite, Jemilah Mahmood, Anders Nordström

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Anti-Jamming RIS Communications Using DQN-Based Algorithm by Pham Duy Thanh, Hoang Thi Huong Giang, Ic-Pyo Hong

“…Our objective is to jointly assign the optimal amount of transmission energy and the RIS phase shifts to maximize the data rate of the system in the long run. …”
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Scan path visualization and comparison using visual aggregation techniques by Vsevolod Peysakhovich, Christophe Hurter

“…First, fixation points are clustered using the mean-shift algorithm. Second, saccades are aggregated using the Attribute-Driven Edge Bundling (ADEB) algorithm that handles a saccades direction, onset timestamp, magnitude or their combination for the edge compatibility criterion. …”
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Variational Quantum Algorithms for Differential Equations on a Noisy Quantum Computer by Niclas Schillo, Andreas Sturm

“…We consider a framework of variational quantum algorithms, quantum circuit learning (QCL), in conjunction with derivation methods, in particular the parameter shift rule, to solve DEs. …”
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A shift from multiple to monocropping farming system in response to change in agroforestry-dominated land use type in East Africa Rift Valley by Mulushewa Fita, Senbetie Toma, Wu Wei, Eshetu Yirsaw, Haile Ketema, Belew Bekele

“…However, in recent years, the ecological benefits of MuCS have been overlooked, while excessive emphasis has been given to monocropping system (MoCS), causing a gradual shift from MuCS to MoCS in agroforestry landscapes. …”
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Encryption Algorithm MLOL: Security and Efficiency Enhancement Based on the LOL Framework by Xinyue Zhang, Daoguang Mu, Wenzheng Zhang, Xinfeng Dong

“…Authenticated encryption with associated data (AEAD) schemes based on stream ciphers, such as ASCON and MORUS, typically use nonlinear feedback shift registers (NFSRs) and linear feedback shift registers (LFSRs) to generate variable-length key streams. …”
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Exponential H∞ Synchronization of Chaotic Cryptosystems Using an Improved Genetic Algorithm by Feng-Hsiag Hsiao

“…On the basis of the Improved Genetic Algorithm (IGA), which is demonstrated to have better performance than that of a traditional GA, a model-based fuzzy controller is then synthesized to stabilize the MTDC systems. …”
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Sparse adaptive constant blind equalization algorithm for sparse multipath channel by Si-yang MA, Hua PENG, Bin WANG

“…In order to improve the convergence rate of the blind equalizer for sparse multipath channel,a novel blind equalization approach called l₀-norm constraint proportionate normalized least mean square constant algorithm was proposed for M-order phase-shift keying (MPSK) signal.Based on the constant modulus characteristics of MPSK signal and the sparse property of equalizer,a new blind equalization cost function with the l₀-norm penalty on the equalizer tap coefficients was firstly constructed.Then the update formula of the tap coefficients was derived according to the gradient descent algorithm.Moreover,the iteration step was updated by drawing upon the normalized proportionate factor.The algorithm not only assigned step sizes proportionate to the magnitude of the current individual tap weights,but also attracted the inactive taps to zero adaptively.Theoretical analysis and simulation results show that the proposed algorithm outperforms the existing blind equalization algorithms for sparse channel in reducing ISI and improving convergence rate.…”
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