An Improved Algorithm for TD-LTE Downlink Time Synchronization by Wenle Bai, Xu Wang, Yongmei Zhang, Mugen Peng

“…Aimed at the application problem of timing synchronization algorithm in orthogonal frequency division multiplexing system, an improved algorithm for TD-LTE downlink time synchronization was proposed. …”
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An overview of Cuckoo Optimization Algorithm based Image Processing by Baydaa sulaiman

“…The CS algorithm has been used in many applications to solve optimization problems. …”
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A Proposed Harmony Search Algorithm for Honeyword Generation by Yasser A. Yasser, Ahmed T. Sadiq, Wasim AlHamdani

“…Many honeyword generation techniques are presented; each one has a flaw in the generating process, a lack of support for all honeyword characteristics, and a slew of honeyword problems. The harmony search algorithm (HSA), a metaheuristic intelligence algorithm inspired by music, is used in this article to offer a novel method for generating honeyword. …”
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Hybrid quadratic diagonal algorithm for thinning contour lines by Mamatov Narzullo, Jalelova Malika, Fayziev Vohid, Samijonov Abdurashid, Samijonov Boymirzo

“…Also, the proposed algorithm is compared with the existing algorithms regarding error and time criteria in contour detection. …”
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Optimum Median Filter Based on Crow Optimization Algorithm by Basma Jumaa Saleh, Ahmed Yousif Falih Saedi, Ali Talib Qasim al-Aqbi, Lamees abdalhasan Salman

“…The fundamental idea of the approach is that first, the crow optimization algorithm detects noise pixels, and that replacing them with an optimum median value depending on a criterion of maximization fitness function. …”
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Research on the Raft improved algorithm for anti-Byzantine nodes by WANG Xiaowei, LI Jie

“…ObjectivesIn order to solve the problem of malicious election and log tampering caused by Byzantine nodes in original Raft algorithm， an AntiB-Raft （Anti-Byzantine Raft） algorithm was proposed to resist Byzantine nodes.MethodsWhen the candidate requested to replace the Leader， the heartbeat monitoring threshold mechanism was used to determine whether the candidate can successfully obtain enough votes to become the new Leader， which was agreed that only when more than half of the nodes detected that the current Leader was really down， the candidate can obtain more than half of the votes and become the new Leader， so as to prevent the Byzantine node from maliciously pulling votes when current Leader was not down， which would result in the replacement of the normal Leader. …”
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Smart Agricultural Pest Detection Using I-YOLOv10-SC: An Improved Object Detection Framework by Wenxia Yuan, Lingfang Lan, Jiayi Xu, Tingting Sun, Xinghua Wang, Qiaomei Wang, Jingnan Hu, Baijuan Wang

“…Aiming at the problems of insufficient detection accuracy and high false detection rates of traditional pest detection models in the face of small targets and incomplete targets, this study proposes an improved target detection network, I-YOLOv10-SC. …”
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Detection of the permutation symmetry in pattern sets by Dong Ji-Yang, Zhang Jun-Ying

“…Lastly, a genetic algorithm-based approach is designed for the symmetry detection problem. …”
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Fragile watermarking technique for detecting image by Yu-hong CHANG, Hui-fen HUANG, Zhi-hong WANG

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Can the Agent with Limited Information Solve Travelling Salesman Problem? by Tomoko Sakiyama, Ikuo Arizono

“…Here, we develop new heuristic algorithm for solving TSP (Travelling Salesman Problem). …”
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Active location and recovery of unbalance problems in smart distribution networks by LI Yihong, PAN Yicheng, MA Meng, WANG Ping

“…By integrating Granger causality tests with adaptive interval detection algorithms, the method achieves unbalanced root cause localization without requiring pre-training or physical topology dependencies. …”
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Variational optimization for quantum problems using deep generative networks by Lingxia Zhang, Xiaodie Lin, Peidong Wang, Kaiyan Yang, Xiao Zeng, Zhaohui Wei, Zizhu Wang

“…We demonstrate that the network rapidly identifies entangled states exhibiting an optimal advantage in entanglement detection when allowing classical communication, attains the ground state energy of an eighteen spin model without encountering the barren plateau phenomenon that hampers standard hybrid algorithms, and—after a single training run—outputs multiple orthogonal ground states of degenerate quantum models. …”
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Search and detection of remote sensing objects by A. I. Mitsiukhin

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Driving Detection Based on the Multifeature Fusion by Qiufen Yang, Yan Lu

“…In order to solve the problems of facial feature localization and driver fatigue state identification methods in driving fatigue detection, a driving detection method based on the multifeature fusion was proposed. …”
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A Distributed Algorithm to Critical Node Identification in IoT Networks by Ali Lalouci, Zoubeyr Farah

“…In this paper, we introduce a distributed algorithm to address the Component-Cardinality- Constrained Critical Node Problem (3C-CNP) in IoT networks, a variant of the widely studied Critical Node Detection Problem (CNDP). …”
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Honeyword Generation Using a Proposed Discrete Salp Swarm Algorithm by Yasser A. Yasser, Ahmed T. Sadiq, Wasim AlHamdani

“…The honeyword system is an effective password cracking detection system designed to easily detect password cracking in order to improve the security of hashed passwords. …”
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KERATOCONUS DETECTION USING DEEP LEARNING by Younis Abbosh, Shatha Ali, Dia Ali, Iman Jasim

“…Eye diseases are any condition that disrupts its function, leading to vision problems or blindness caused by genetics and aging to injuries, infections, and environmental factors. …”
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RGB-T Object Detection With Failure Scenarios by Qingwang Wang, Yuxuan Sun, Yongke Chi, Tao Shen

“…Currently, RGB-thermal (RGB-T) object detection algorithms have demonstrated excellent performance, but issues such as modality failure caused by fog, strong light, sensor damage, and other conditions can significantly impact the detector's performance. …”
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Cellular-local Algorithm for Localizing and Estimating Changes in Binary Images by A. A. Korotkin, A. A. Maksimov

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An Eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in Khyber-Pakhtunkhwa, Pakistan. by Sami Ullah, Hanita Daud, Sarat C Dass, Hadi Fanaee-T, Alamgir Khalil

“…However, the main problem with the EigenSpot method is that it cannot be adapted to detect more than one spatiotemporal hotspot. …”
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