Minimising latency of pitch detection algorithms for live vocals on low-cost hardware

“…Many papers have been published over the past six decades assessing and comparing the accuracy of pitch detection algorithms on various signals, including vocals. However, very little information is available concerning the latency of pitch detection algorithms and methods with which this can be minimised. …”
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A Prefiltered Cuckoo Search Algorithm with Geometric Operators for Solving Sudoku Problems by Ricardo Soto, Broderick Crawford, Cristian Galleguillos, Eric Monfroy, Fernando Paredes

“…This game is known to be NP-complete, with existing various complete and incomplete search algorithms able to solve different instances of it. …”
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Evaluation of the Performance of Unsupervised Learning Algorithms for Intrusion Detection in Unbalanced Data Environments by Gutierrez-Portela Fernando, Almenares Mendoza Florina, Calderon-Benavides Liliana

“…Results showed that K-means++ achieved 95% purity with 95% and 99% prediction accuracies for normal and abnormal data, respectively, while I-forest delivered similar results and excelled in computational efficiency, consuming only 10% of CPU resources compared to 16% for other algorithms. …”
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A Federated Learning Algorithm That Combines DCScaffold and Differential Privacy for Load Prediction by Yong Xiao, Xin Jin, Tingzhe Pan, Zhenwei Yu, Li Ding

“…Experimental results demonstrate that the proposed algorithm enables federated training without the need for sharing raw load data, facilitating load scheduling and energy management operations in smart grids while safeguarding user privacy. …”
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An Improved Convergence Particle Swarm Optimization Algorithm with Random Sampling of Control Parameters by Lijun Sun, Xiaodong Song, Tianfei Chen

“…The final experiments results demonstrate that the proposed algorithm further improves the convergence rate while maintaining higher convergence accuracy, compared with basic particle swarm optimization and other variants.…”
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Unmanned aerial vehicle path planning with hybrid motion algorithm for obstacle avoidance by Venkatasivarambabu Pamarthi, Richa Agrawal

“…Through comprehensive simulations, the proposed approach is validated, demonstrating its efficacy in enabling UAVs to autonomously navigate dynamic environments while avoiding obstacles successfully.…”
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Motion estimation algorithm using 2 bit-depth pixel and fuzzy quantization by Chuan-ming SONG, Yan-wen GUO, Xiang-hai WANG, Dan LIU

“…A motion estimation algorithm was proposed using 2 bit-depth pixels. The reduction of pixel depth was first formalized by two successive steps, namely interval partitioning and interva mapping. …”
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A Color Gamut Description Algorithm for Liquid Crystal Displays in CIELAB Space by Bangyong Sun, Han Liu, Wenli Li, Shisheng Zhou

“…While, in the new proposed algorithm, the points on the surface of RGB cube are selected as the boundary points, and then converted and described in CIELAB color space. …”
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Intrusion detection algorithm of wireless network based on network traffic anomaly analysis by Xiangqian Nie, Jiao Xing, Qimeng Li, Fan Xiao

“…To promptly identify and mitigate abnormal behaviors while ensuring normal operation and security, this paper proposes an algorithm for detecting compromised nodes in wireless networks based on network traffic anomaly analysis. …”
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Multi-AGV multitask collaborative scheduling based on an improved ant colony algorithm by Yazhen Zhu, Qing Song, Meng Li

“…Existing research mainly focuses on the optimization of automated guided vehicle (AGV) path planning and scheduling, emphasizing on the minimization of conflicts and deadlocks, multi-objective task scheduling, and metaheuristic algorithm optimization, while ignoring path stability and real-time path planning in dynamic environments. …”
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A New Algorithm for Detecting X-Ray Shots in Cyg X-1 by Jin Qin, Hua Feng, Lian Tao

“…Compared with previous techniques, our algorithm allows us to detect shots with lower amplitudes and shorter time separations. …”
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Belt conveyor idler fault detection algorithm based on improved YOLOv5 by Cen Pan, Qing Tao, Hao Pei, Biao Wang, Wei Liu

“…Experimental results demonstrate that the enhanced YOLOv5 algorithm achieves a 95.3% mAP on the self-constructed infrared image dataset, surpassing the original algorithm by 2.7%. …”
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Development and application of an algorithm to estimate the effective energy of x-rays on conventional mammography by Fiorela Merma Velasco, Mariela Bellotti, Pablo Andres

“…This is the case when thermoluminescent dosimetry is the method of choice. The algorithm developed to discriminate the x-ray energy the mammography patient has been exposed to while undergoing routine procedures, applies two thermoluminescent dosimeters, one of them filtered by a 1 mm thick aluminum layer. …”
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Two-Stage Separator Level Coupling Control Based on ASFW-DDPG Algorithm by Xiaoyong He, Han Pang, Boying Liu, Yuqing Chen

“…The primary and secondary separator liquid levels stabilize at the set values within 2.4 seconds and 1.8 seconds, while the PID and traditional DDPG algorithms exhibit slight fluctuations in liquid level. …”
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Improved HLLL Lattice Basis Reduction Algorithm to Solve GNSS Integer Ambiguity by Kezhao Li, Chendong Tian, Yingxiang Jiao, Zhe Yue

“…Compared with the LLL reduction algorithm and HLLL reduction algorithm, the experimental results show that the PHLLL algorithm has higher reduction efficiency and effectiveness. …”
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Application of Traffic Cone Target Detection Algorithm Based on Improved YOLOv5 by Mingwu Wang, Dan Qu, Zedong Wu, Ao Li, Nan Wang, Xinming Zhang

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Implementation of Apriori Algorithm in Identifying Purchase Relationships at Bluder Cokro Pakuwon Mall by Angeline Ivana, Indra Maryati

“…This study uses the Apriori algorithm to find patterns of association between products, with the goal of determining the scope of correlation between products and frequently co- purchased items. …”
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Cost Minimization with Project Crashing: Comparison of the Traditional Solution and Genetic Algorithm Approach by Sadik Yıgıt, Semih Caglayan

“…The case study illustration reveals the advantages and disadvantages of the genetic algorithm approach over the traditional approach. It is observed that the genetic algorithm approach can reach the solution in a single phase while the traditional approach requires multiple phases. …”
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Application of multi-sensor fusion localization algorithm based on recurrent neural networks by Zexia Huang, Guoyang Ye, Pu Yang, Wanshun Yu

“…The EKF provides real-time statistical estimation for initial data fusion, while the RNN effectively models temporal dependencies, further reducing errors and enhancing data accuracy. …”
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Comparative Performance Evaluation of Scheduling Algorithms using 5G‑Air‑Simulator by Moaath Saleh Abdulrahman, Buthaina Mosa Omran

“…While Exponential Proportional Fair algorithm has the lowest values of delay, Logarithm Rule algorithm gives the highest data rate and the lowest packet loss ratio with high index of fairness. …”
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