Congestion control algorithms in wireless sensor networks: Trends and opportunities by Syed Afsar Shah, Babar Nazir, Imran Ali Khan

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Development of an Algorithm to Determine the Most Efficient Trajectories in Directional Wells by R.R. Francisco, M. Bertuzzi, G.V.V. Ramlov, L.A. Alves, C.E. Metzler

“…We present the development of an algorithm designed to determine the most efficient trajectories for directional wells, a key method used in oil and gas extraction. …”
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Advances in Digital Signature Algorithms: Performance, Security and Future Prospects by Lyu Shuhan

“…The results show that while optimizations improve computational efficiency, challenges persist, especially with potential quantum threats that could undermine these algorithms' security. …”
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Ain’t blaming you: Delegation of financial decisions to humans and algorithms by Zilia Ismagilova, Matteo Ploner

“…This article investigates the tendency to prioritize outcomes when evaluating decision-making processes, particularly in situations where choices are assigned to either a human or an algorithm. In our experiment, a Principal delegates a risky financial decision to an Agent, who can choose to act independently or to use an algorithm. …”
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Big Data Visualization Collaborative Filtering Algorithm Based on RHadoop by Lijun Cai, Xiangqing Guan, Peng Chi, Lei Chen, Jianting Luo

“…With the rapid growth of various data, it is becoming increasingly important to extract useful information from big data. While the analysis tools of big data visualization is very rare, in this paper, we propose a new big data visualization algorithm analysis integrated model. …”
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Image Segmentation Algorithm Named FSICM Based on Spatial Information by ZHU Suxia, ZU Hongliang, SUN Guanglu

“…In this paper, we present a fuzzy spatial information cmeans clustering (FSICM) algorithm for image segmentation by introducing spatial information, in order to overcome the defects of being sensitive to noises and outliers in image brought by Fuzzy cmeans clustering (FCM) algorithm The algorithm effectively utilizes the spatial information of the image and the gray information of the image to be segmented, and improves the segmentation accuracy of the noisy image Firstly, the spatial function is introduced into the membership function to change the membership weight of each pixel so as to suppress the noise Then, the neighborhood information of pixels in the image is taken into account, each pixel is processed to form a linear weighted image, and the gray histogram of the newly formed image is clustered Experimental results of both synthetic and real images show that the segmentation accuracy of FSICM algorithm for noise image is above 99% Compared with other algorithms, the algorithm proposed in this paper can remove noise while maintaining important details of the image and is robust to noise images…”
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The maximum residual block Kaczmarz algorithm based on feature selection by Ran-Ran Li, Hao Liu

“…We analyzed the convergence of these algorithms and demonstrated their effectiveness through numerical results, while also verifying the performance of the proposed algorithms in image reconstruction.…”
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Overcoming Data Scarcity in Calibrating SUMO Scenarios With Evolutionary Algorithms by Jakob Kappenberger, Heiner Stuckenschmidt

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PWRR Algorithm for Video Streaming Process Using Fog Computing by Saba et al.

“…The present research paper proposes priority weighted round robin (PWRR) algorithm for streaming operations scheduling in the fog architecture. …”
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Analysis and Optimization of Flapping-Wing Mechanism Based on Genetic Algorithm by Yunyu Ling, Benyou Liu, Hongxin Zhang, Lan Bo, Mingjie Liu

“…The goal is for the vehicle to imitate the wing-flapping action of birds while minimizing energy consumption and the peak torque during flapping. …”
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Obstacle Avoidance Algorithm for 7-DOF Redundant Anthropomorphic Arm by Haoyu Shen, Hongtao Wu, Bai Chen, Yanjie Jiang, Cheng Yan

“…Using this approach, the robot can get the target configuration while avoiding the obstacles. Finally, the validity of the obstacle avoidance algorithm based on transitioning between tasks is manifested by simulation. …”
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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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Algorithms and Employment: A Review of AI’s Impact on the Labour Market by Maria Alexandra CRACIUN, Irina Carmen BĂLUȚ GABOROI

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Application of Hybrid Algorithm with Large Data in Wind Farm Modeling by GUO Min, ZHAO Qiao-e, GAO Jin-cheng, ZHOU Bin-long

“…The real operation data of large-scale wind farm are analyzed and modeled by using the optimized particle swarm K-means hybrid clustering algorithm. Shanxi Sheng wind ridge wind farm as an example, in the era of big data on the basis of the actual operation data to build wind power model and the optimization of particle swarm K-means hybrid clustering algorithm (IPSO-K-means) is used to optimize the model. …”
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A trajectory data publishing algorithm satisfying local suppression by Xiaohui Li, Yuliang Bai, Yajun Wang, Bo Li

“…Simulation results show that the proposed algorithm is effective, which can reduce the data loss rate and improve data availability while reducing the risk of user privacy leakage.…”
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Majorisation‐minimisation algorithm for optimal state discrimination in quantum communications by Neel Kanth Kundu, Prabhu Babu, Petre Stoica

“…Our numerical simulations demonstrate that the proposed QMM algorithm significantly outperforms the state‐of‐the‐art SDP algorithm in terms of speed, while maintaining comparable performance for solving QSD problems in quantum communication applications.…”
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A Prospective Study on Algorithms Adapted to the Spatial Frequency in Tomography by Vincent Israel-Jost, Philippe Choquet, André Constantinesco

“…The use of iterative algorithms in tomographic reconstruction always leads to a frequency adapted rate of convergence in that low frequencies are accurately reconstructed after a few iterations, while high frequencies sometimes require many more computations. …”
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A novel chaotic interleaving algorithm for mobile wireless channels by Xianping WANG, Hui CAO

“…Interleaving technique is an efficient technique to resist serious burst errors over mobile wireless fading channels.To resist 2 dimensionality burst errors effectively,a novel chaotic interleaving algorithm based on Baker map was proposed.In the proposed scheme,the binary source sequence was converted to the data matrix,and then the data matrix was dispersed randomly by using the chaotic Baker map approach,in order to realize the function of transforming 2 dimensionality long bust error into the short 1 dimensionality short bust error after de-interleaving.In additional,the proposed algorithm was combined with the convolution code based on Viterbi decoding,and was applied into the scenario of convolutional codes (2,1,3) and the scenario of (2,1,7) separately for a performance comparison.The simulation results show that the performance of the proposed algorithm outperforms better than the traditional algorithms under image transmission over mobile wireless channel.Moreover,the anti-fading capability of the proposed algorithm grows as the packet length increases,while reducing the complexity significantly.Finally,the chaotic interleaver can also enhance every transmitted packet's security with different secret keys.…”
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An improved coarse alignment algorithm for SINS based on rotation modulation by Yong Yang, Donglin Li, Lingbing Kong, Kaijun Xu, Honghui Xiang

“…The primary challenge in this process lies in reducing the alignment time while enhancing accuracy, particularly as conventional analytic algorithms often suffer from decreased precision due to measurement errors in accelerometers and gyroscopes. …”
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Optimization of constant-speed control algorithm for high-speed EMUs by XIONG Yan, ZHOU Shangru, XU Qing, HUANG He

“…As train speeds approaching the target speed, the proportional regulation gradually diminishes in the control, while speed fine-tuning is achieved through the integral and differential elements. …”
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