Retinal Vessel Segmentation Using Math-Inspired Metaheuristic Algorithms by Mehmet Bahadır Çetinkaya, Sevim Adige

“…Math-inspired metaheuristic algorithms can be considered to be one of the most robust groups of algorithms, while also generally presenting non-complex structures. …”
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Parameter Extraction for Photovoltaic Models with Flood-Algorithm-Based Optimization by Yacine Bouali, Basem Alamri

“…Applying metaheuristic algorithms with the Newton–Raphson-based objective function reduced the root-mean-square error (RMSE) more effectively than traditional methods. …”
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Adaptor signature scheme based on ISRSAC digital signature algorithm by Yanshuo ZHANG, Ning LIU, Yuqi YUAN, Yatao YANG

“…The adapter signature scheme can provide good properties of atomic exchange in the block chain, and has been widely used in practice.A new adapter signature scheme was constructed based on a digital signature algorithm for improved security of RSA cryptosystem (ISRSAC).After proving that the proposed scheme satisfied the correctness of the pre-signature, unforgeability, adaptability of the pre-signature, extractability of the evidence and the security of the signature scheme, it was compared with the adapter signature scheme based on the SM2 digital signature algorithm, the Schnorr-based adapter signature scheme and the ECDSA-based adapter signature scheme.And these schemes were analyzed in terms of time overhead and main calculation amount.The analysis results show that the proposed scheme is similar to other schemes in terms of time overhead, but the proposed scheme expands the application scenarios of ISRSAC algorithm in the current environment, and through the combination of ISRSAC algorithm and adapter signature technology, the selection of adapter signature is more flexible and can have a wider range of applications.…”
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SWR: Smartness Provided by Simple, Efficient, and Self-Adaptive Algorithm by Mujdat Soyturk, Deniz Turgay Altilar

“…In this paper, a novel routing algorithm, stateless weight routing (SWR), is proposed. …”
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A Comparison of Four Classification Algorithms for Facial Expression Recognition by Hivi I. Dino, Maiwan B. Abdulrazzaq

“…This paper provides a comparison approach for FER based on three feature selection methods which are correlation, gain ration, and information gain for determining the most distinguished features of face images using multi-classification algorithms which are multilayer perceptron, Naïve Bayes, decision tree, and K-nearest neighbor (KNN). …”
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Nowcasting of rainfall based on extrapolation and evolution algorithms. Preliminary results by Mateusz Giszterowicz, Katarzyna Ośródka, Jan Szturc

“…The paper gives an overview of algorithms used in the SNAR model and provides preliminary results.…”
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Collaborative Spectrum Sensing Optimisation Algorithms for Cognitive Radio Networks by Kamran Arshad, Muhammad Ali Imran, Klaus Moessner

“…The main challenge for a cognitive radio is to detect the existence of primary users reliably in order to minimise the interference to licensed communications. …”
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Identification of Grass Weed Species Using YOLO5 Algorithm by Charlene Grace Rabulan, John Alfred Gascon, Noel Linsangan

“…The developed system detects and identifies the four main types of weeds, contributing to the improvement of weed control management.…”
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A trajectory data publishing algorithm satisfying local suppression by Xiaohui Li, Yuliang Bai, Yajun Wang, Bo Li

“…The main contributions of this article include as follows: (1) introducing privacy protection method in trajectory data release, (2) performing effective local suppression judgment on the points in the minimum violation sequence of the trajectory data set, and (3) proposing a differential privacy protection algorithm based on local suppression. …”
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An Aeromagnetic Compensation Algorithm Based on a Temporal Convolutional Network by Han Wang, Boxin Zuo

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Algorithmic Method for Precision Enhancement of Paper Pulp Blade Consistometer by Oleksandr Romaniuk, Bohdan Kril, Oleksandr Kril

“…The article deals with the algorithmic method for precision enhancement of paper pulp blade consistometers . …”
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Characterization and Comparison of the 10-2 SITA-Standard and Fast Algorithms by Yaniv Barkana, Erez Bakshi, Yakov Goldich, Yair Morad, Audrey Kaplan, Isaac Avni, David Zadok

“…Conclusions: The 10-2 SITA-fast algorithm is significantly shorter than SITA-standard. …”
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Optimized Detection Algorithm for Vertical Irregularities in Vertical Curve Segments by Rong Xie, Chunjun Chen

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An insulator target detection algorithm based on improved YOLOv5 by Bing Zeng, Zhihao Zhou, Yu Zhou, Dilin He, Zhanpeng Liao, Zihan Jin, Yulu Zhou, Kexin Yi, Yunmin Xie, Wenhua Zhang

“…To address issues with traditional object detection algorithms, such as large parameter counts, low detection accuracy, and high miss rates, this paper proposes an insulator detection algorithm based on an improved YOLOv5 model. …”
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Hybrid Improved PSO Algorithm for Soil Property Parameter Estimation by Mude Li, Aiping Shi, Yefan Shi, Tao Zhang, Cu Qu, Lihua Ye

“…The proposed algorithm combines the strengths of Standard PSO (SPSO) and the Exponential Distribution Optimizer (EDO). …”
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YOLOX-S-TKECB: A Holstein Cow Identification Detection Algorithm by Hongtao Zhang, Li Zheng, Lian Tan, Jiahui Gao, Yiming Luo

“…The experimental results demonstrate that, compared to the traditional YOLOX-S model, the improved model exhibits a 15.31% increase in mean average precision (mAP) and a 32-frame boost in frames per second (FPS). …”
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New Photoplethysmographic Signal Analysis Algorithm for Arterial Stiffness Estimation by Kristjan Pilt, Rain Ferenets, Kalju Meigas, Lars-Göran Lindberg, Kristina Temitski, Margus Viigimaa

“…In this study, the new SDPPG analysis algorithm is proposed with optimal filtering and signal normalization in time. …”
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Multi-clustering algorithm based on improved tensor chain decomposition by ZHANG Hongjun, ZHANG Zeyu, ZHANG Yingjiao, YE Hao, PAN Gaojun

“…The innovations were mainly reflected in two aspects: firstly, a new tensor decomposition framework was proposed, which effectively reduced the storage cost and improved the computational efficiency by optimizing the objective function; secondly, the improved tensor decomposition technique was applied to three main multi-clustering algorithms, including self-weighted multi-view clustering (SwMC), latent multi-view subspace clustering (LMSC), and multi-view subspace clustering with intactness-aware similarity (MSC IAS), which significantly improved the accuracy and efficiency of clustering. …”
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An Evolutionary Algorithm of the Regional Collaborative Innovation Based on Complex Network by Kun Wang, Duoyong Sun

“…This paper proposed a new perspective to study the evolution of regional collaborative innovation based on complex network theory. The two main conceptions of evolution, “graph with dynamic features” and “network evolution,” have been provided in advance. …”
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Optimization of machine learning algorithms for proteomic analysis using topsis by Javanbakht T., Chakravorty S.

“…The main hypotheses are that the change in the weights of alternatives could affect the ranking of algorithms. …”
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