New low storage VM-algorithm for constrained optimization by Abbas Al-Bayati, Hamsa Chilmerane

“…In this paper a new low-storage VM-algorithm for constrained optimization is investigated both theoretically and experimentally. …”
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The Art of Randomness: Sampling and Chance in the Age of Algorithmic Reproduction by Johan Ugander, Ziv Epstein

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Chaos-based scramble self-embedding watermarking algorithm by HE Hong-jie, ZHANG Jia-shu

“…A chaos-based scramble self-embedding watermarking algorithm was proposed to locate tamper block on the wa- termarked images and improve security of the existing self-embedding fragile watermarking algorithms that could not effec- tively locate tamper block. …”
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A Bat Algorithm with Mutation for UCAV Path Planning by Gaige Wang, Lihong Guo, Hong Duan, Luo Liu, Heqi Wang

“…Furthermore, a new bat algorithm with mutation (BAM) is proposed to solve the UCAV path planning problem, and a modification is applied to mutate between bats during the process of the new solutions updating. …”
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Research on prioritization algorithm for multi-hazard warning dissemination by Yunyin Mo, Qiang Han, Yingying Song, Jingfeng Li, Jingjing Zhao

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A topology optimization algorithm for electroelasticity coupled problems by Novokshenov Aleksei, Abdulin Ilya, Vershinin Denis

“…A topology optimization algorithm was formulated and implemented (as program code in Python) for bodies under the action of the coupled electric and mechanical fields. …”
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ALGORITHM FOR MANAGEMENT OF HYPERTENSIVE PATIENTS UNDERWENT UROLOGY INTERVENTIONS by S. S. Davydova

“…The elaborated management algorithm for patients with concomitant hypertension is recommended to reduce the cardiovascular complications in the early postoperative period.…”
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Skeletonization algorithm FOR OBJECTS ON THREE-DIMENSIONAL RASTER IMAGES by D. A. Goncharov, A. M. Nedzved, S. V. Ablameyko

“…A skeleton building algorithm in case of lack of memory is presented. Built skeleton is topologically equivalent to the original object. …”
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Treatment algorithm for robotic transplant ureteral stricture repair by Emily Ji, Jonathan Rosenfeld, Devin Boehm, Rebecca Arteaga, Jaewoo Kim, Aidan Raikar, Ziho Lee

“…Here, we describe our treatment algorithm for robotic reconstruction of transplant ureteral strictures. …”
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Camparison of Numerically Stability of Two Algorithms for the Calculation of Variance by D Rostami

“…In descriptive statistics, there are two computational algorithms for determining the variance S2, of a set of observations : Algorithm 1: S2= - , Algorithm 2: S2= , where . …”
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Distributed Voronoi coverage algorithm in wireless sensor networks by XU Peng-fei1, CHEN Zhi-gang1, DENG Xiao-heng1

“…On the hypothesis conditions that wireless sensor networks only covered partial target region and the commu-nication radius was no less than twice of the sensing radius,a coverage-preserved and connected distributed Voronoi cov-erage algorithm was presented.Firstly,a method of detecting coverage redundancy sensors based on the local Voronoi re-gions was proposed,whose computational complexity was unconcerned with the density of sensors.Then,an en-ergy-prior self-scheduling strategy based on local Voronoi neighbors was proposed,where those sensors that were com-munication neighbors but not local Voronoi neighbors could synchronously execute self-scheduling,which improved the astringency of distributed scheduling.The simulation results show that the average number and coverage-degree of active sensors produced by the proposed algorithm are close to the centralized algorithm and smaller than the general distributed algorithm,while the proposed algorithm has more advantages in terms of active sensors’ average energy,scheduling as-tringency and runtime.…”
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A survey of 3D object detection algorithms by Zhe HUANG, Yongcai WANG, Deying LI

“…3D object detection is a fundamental problem in autonomous driving，virtual reality，robotics，and other applications.Its goal is to extract the most accurate 3D box characterizing interested targets from the disordered point clouds，such as the closest 3D box surrounding the pedestrians or vehicles.The target 3D box's location，size，and orientation are also output.Currently，there are two primary approaches for 3D object detection: (1) pure point cloud based 3D object detection，in which the point clouds are created by binocular vision，RGB-D camera，and lidar; (2) fusion-based 3D object detection based on the fusion of image and point cloud.The various representations of 3D point clouds were introduced.Then representative methods were introduced from three aspects: traditional machine learning techniques; non-fusion deep learning based algorithms; and multimodal fusion-based deep learning algorithms in progressive relation.The algorithms within and across each category were examined and compared，and the differences and connections between the various methods were analyzed thoroughly.Finally，remaining challenges of 3D object detection were discussed and explored.And the primary datasets and metrics used in 3D object detection studies were summarized.…”
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Neuromorphic computing for robotic vision: algorithms to hardware advances by Sayeed Shafayet Chowdhury, Deepika Sharma, Adarsh Kosta, Kaushik Roy

“…., event-based cameras), brain-inspired algorithms (SNNs and SNN-ANN hybrids), and dedicated neuromorphic hardware. …”
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Improved tree structure anti-collision algorithm of RFID by Xue WANG, Zhi-hong QIAN, Xiao-hui LIU, Chao CHENG

“…The whole big query tree is divided into several branches,and the work of tag recognition is executed in each branch,thus reducing the probability of tag collision.The proposed algorithm can be divided into prefix determination and branch query two phases.In the prefix determination phase,the prefix of every tag is identified,and each prefix denotes a branch.Traverse each branch by turns to recognize tags; in the branch query phase,backward search strategy and dynamic search method are used.Theoretical analysis and simulation experiment show that when the improved algorithm can improved the overall performance of RFID system from the aspects of the number of queries,time delay,and throughput.…”
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Plug-and-Play PRNU Enhancement Algorithm with Guided Filtering by Yufei Liu, Yanhui Xiao, Huawei Tian

“…Based on this finding, we propose a guided-filtering PRNU enhancement algorithm. This algorithm can function as a plug-and-play module, seamlessly integrating with existing mainstream enhancement techniques to further boost PRNU performance. …”
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On precise path planning algorithm in wireless sensor network by Farhanda Javed, Samiullah Khan, Asfandyar Khan, Alweena Javed, Rohi Tariq, Matiullah, Faheem Khan

“…The analysis of simulation results concludes that random way point has higher performance efficiency compared to rest of the static path planning algorithms concerning location error ratio (accuracy), energy consumption, and number of references in medium and dense node density scenarios. …”
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Flood the Zone with Shit: Algorithmic Domination in the Modern Republic by John Maynor

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Introduction: Data Communication and Topology Algorithms for Sensor Networks by Stephan Olariu, David Simplot-Ryl, Ivan Stojmenovic

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ALGORITHM OF AIR TRAFFIC PRE-TACTICAL PLANNING SYSTEM by V. V. Vorobyev, A. S. Kharlamov

“…This algorithm was tested using the simulator tower type “Sintez-TC-V”. …”
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Computational Algorithms and Aesthetic Impact in Animated Visual Effects by Tao Duan, Wei Dong, Fei Wang, Yuxia Yao

Subjects: “…Computational algorithms…”
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