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  1. 141

    A New Link Scheduling Algorithm for 60 GHz-WPAN Communication System by Wei Shi, Jingjing Wang, Hao Zhang, Yun Liu, Qiuna Niu, Chunlei Wu

    Published 2016-02-01
    “…Simulation results demonstrated that the capacity gain is obvious using ATSMA algorithm, no matter whether under omnidirectional antenna or under directional antenna.…”
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    Article
  2. 142

    Mobile direct-sequence spread-spectrum underwater acoustic communication based on improved differential energy detector by Peng-yu DU, Long-xiang GUO, Jing-wei YIN, Gang QIAO

    Published 2017-03-01
    “…A Doppler estimation method based on the structural features of spread spectrum signal was proposed,which could achieve real-time Doppler estimation for received spread spectrum signals by energy detecting the result of matching correlation calculation of adjacent received spreading symbols.In addition,this method made full use of the spread spectrum processing gain and could do Doppler estimation under low SNR condition.Improved differential energy detector was further proposed,which can effectively deal with the rapid carrier phase fluctuation interference caused by Doppler effect and time-varying multi-path interference by detecting the output energy of two correlators.Simulation verified the robustness of improved differential energy detector algorithm and the Doppler estimation method based on spread spectrum signal.At-sea data shows that improved differential energy detector combined with the proposed Doppler estimation method can achieve low bit error rate communication for direct-sequence spread spectrum underwater acoustic communication with large time-varying Doppler interference when SNR is −10 dB.…”
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  3. 143

    Intelligent Optimization Algorithms for Multi-UAV Path Planning: A Comprehensive Review by Lixiang Zhai, Husheng Wu, Linghong Lai, Ziqian Gao

    Published 2025-01-01
    “…As operational airspace extends from medium-high to low and ultra-low altitudes, combined with global efforts to strengthen multi-layered air defense systems, the increasingly dense and complex battlefield environments impose rigorous demands on multi-UAV path planning. …”
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    Article
  4. 144

    Mobile direct-sequence spread-spectrum underwater acoustic communication based on improved differential energy detector by Peng-yu DU, Long-xiang GUO, Jing-wei YIN, Gang QIAO

    Published 2017-03-01
    “…A Doppler estimation method based on the structural features of spread spectrum signal was proposed,which could achieve real-time Doppler estimation for received spread spectrum signals by energy detecting the result of matching correlation calculation of adjacent received spreading symbols.In addition,this method made full use of the spread spectrum processing gain and could do Doppler estimation under low SNR condition.Improved differential energy detector was further proposed,which can effectively deal with the rapid carrier phase fluctuation interference caused by Doppler effect and time-varying multi-path interference by detecting the output energy of two correlators.Simulation verified the robustness of improved differential energy detector algorithm and the Doppler estimation method based on spread spectrum signal.At-sea data shows that improved differential energy detector combined with the proposed Doppler estimation method can achieve low bit error rate communication for direct-sequence spread spectrum underwater acoustic communication with large time-varying Doppler interference when SNR is −10 dB.…”
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    Article
  5. 145

    A new exponentially directional weighted function based CT image denoising using total variation by Manoj Kumar, Manoj Diwakar

    Published 2019-01-01
    “…Furthermore, a numerical algorithm is designed to solve the minimization problem of EDWF using Split Bregman method. …”
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    Article
  6. 146

    SIMPLE ALGORITHM TO CONSTRUCT CIRCULAR CONFIDENCE REGIONS IN CORRESPONDENCE ANALYSIS USING R by Karunia Eka Lestari, Marsah Rahmawati Utami, Mokhammad Ridwan Yudhanegara

    Published 2022-03-01
    “…In this algorithm, the determination of the standard residual matrix and the principal coordinates is built directly from the contingency table (without calculating a correspondence matrix). …”
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    Article
  7. 147

    Research on a Particle Filtering Multi-Target Tracking Algorithm for Distributed Systems by Bing Han, Zilong Ge, Zhigang Su, Jingtang Hao

    Published 2025-05-01
    “…The growth of unmanned aerial vehicle applications in the low-altitude economy demand advanced multi-target tracking systems. …”
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    Article
  8. 148

    Path Scheduling and Target Trajectory Optimization in UAVs Based on Dragonfly and Firefly Algorithm by Methaq Hadi Lafta

    Published 2022-10-01
    “…Parametric indeterminacy is several factors in UAVs movement prediction and trajectory, such as speed, movement angle, accuracy, movement time, and situation and direct control. So this research is trying to provide a method based on LQG controller with and then set motion and specify path scheduling without deviations based on swarm intelligence algorithms in combinational mode: Dragonfly-Firefly algorithm. …”
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    Article
  9. 149

    Pattern Nulling of Linear Antenna Arrays Using Backtracking Search Optimization Algorithm by Kerim Guney, Ali Durmus

    Published 2015-01-01
    “…An evolutionary method based on backtracking search optimization algorithm (BSA) is proposed for linear antenna array pattern synthesis with prescribed nulls at interference directions. …”
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    Article
  10. 150

    Multi-Task Perception Algorithm for Rail Transit Scenarios Based on Triplet Attention by GAO Rui, XIONG Yanping, WEI Chenfeng, XIE Guotao, GAO Ming

    Published 2024-10-01
    “…Aiming at the challenges of insufficient object detection accuracy and low detection speeds, and the pursuit of an accuracy-speed balance in environmental perception within rail transit scenarios, this paper proposes a multi-task perception model that features simultaneous detection and segmentation. …”
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  11. 151

    Main Lobe Anti-Interference Algorithm Based on Robust Oblique Projection Preprocessing by Sui Zhenxing, Wang Zheng, Yuan Xiaolei

    Published 2025-04-01
    “…In practical applications, the array received data often contains target signal components, using the covariance matrix of the sample including the partial target signal instead of the covariance matrix of the interference noise will cause significant errors, especially when the number of array received snapshots is low. At the same time, the target signal is often weak, and direct angle measurement will result in certain angle measurement errors, leading to errors in the target signal guided vector. …”
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  12. 152

    YOLO-v4 Small Object Detection Algorithm Fused With L-α by ZHANG Ning, YU Ming, REN Honge, AO Rui, ZHAO Long

    Published 2023-02-01
    “… The detection ability for small object is still need to be improved urgently in spite of the rapidly developing object detection technology based on deep learning at present.Compared with large objects, small object detection tasks hold drawbacks of low resolution and feature loss which leads to that many general algorithms cannot be directly applied to small object detection.The feature pyramid fusion can effectively combine the features of deep and shallow layers to enhance the performance.To solve the problem most models existing ignoring the imbalance of information during the feature fusion between adjacent layers, it is proposed to integrate the idea of fusion factor into the PANet of YOLOv4, use the fusion factor L-αto control the amount of information transmitted from the deep layer to the shallow, so as to effectively improve the efficiency of information fusion and enhance the ability of YOLO-v4 for small objects detection.With the addition of L-αin YOLO- V4 model, the experiment results show that the APtiny50and APsmall50on the TinyPerson are improved by 2.14% and 1.85% respectively, while the AP and APS on the MS COCO are separately increased by 1.4% and 2.7%.It is proved that this improved method is effective for small object detection with the evidence of better result than other small object detection algorithms.…”
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  13. 153

    Deep Reinforcement Learning for Automated Insulin Delivery Systems: Algorithms, Applications, and Prospects by Xia Yu, Zi Yang, Xiaoyu Sun, Hao Liu, Hongru Li, Jingyi Lu, Jian Zhou, Ali Cinar

    Published 2025-04-01
    “…To this end, this paper conducts a literature review on DRL-based BGC control algorithms for AIDs. First, this paper systematically analyzes the benefits of utilizing DRL algorithms in AIDs. …”
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  14. 154

    Vehicle Authentication-Based Resilient Routing Algorithm With Dynamic Task Allocation for VANETs by Nagaraju Pacharla, K. Srinivasa Reddy

    Published 2024-01-01
    “…The requirement for means to guarantee the constant and secure functioning of vehicles is directly proportional to their numbers. This research proposes a Vehicle Authentication based Resilient Routing Algorithm with Dynamic Task Allocation (VARRA-DTA) Scheme for selecting the optimal and secured route in VANET with effective task allocation strategy that reduces the latency in the network. …”
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  15. 155

    Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery by Laith A. H. Al-Shimaysawee, Anthony Finn, Delene Weber, Morgan F. Schebella, Russell S. A. Brinkworth

    Published 2024-10-01
    “…However, obtaining high detection rates with minimal false alarms remains a challenging task, particularly when there is low contrast between the animals and their surroundings. …”
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  16. 156
  17. 157

    Parameter estimation and speed control of real DC motor with low resolution encoder by Celal Onur Gökçe, Mahmut Esat İpek, Mehmet Dayıoğlu, Rıdvan Ünal

    Published 2025-06-01
    “…In this study, parameter estimation and speed control of a real brushed Direct Current (DC) motor are conducted. For parameter estimation, a popular iterative optimization algorithm, namely Particle Swarm Optimization (PSO), is used. …”
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    Article
  18. 158

    Low Orbit Satellite Internet of Things Transmission Technology Based on LoRa by Zehao LI, Jianpeng MA, Shun ZHANG, Xiao WEI, Jing ZHANG

    Published 2022-12-01
    “…As an emerging wide area network technology, LoRa has the characteristics of low power consumption and wide coverage.It has very broad prospects in the field of internet of things applications.In recent years, it has been deployed in countless objects around the world.The advantages of wide coverage of low-orbit satellite networks make it an inevitable technology to achieve global coverage of massive internet of things.Firstly, the basic principles of LoRa technology were expounded.Then the problems existed after the LoRa technology was directly introduced into the low-orbit satellite IoT were analyzed.Finally, a set of LoRa transmission technology suitable for low-orbit satellite IoT was proposed, focused on solved the problem of LoRa frame synchronization under the condition of low-orbit long-distance low-power transmission, and the problem of LoRa demodulation caused by the high-speed movement of satellites due to the Doppler frequency off set.The simulation results showed that the proposed joint synchronization and frequency off set estimation algorithm could obviously improved the synchronization probability and transmission reliability of LoRa technology under the conditions of extremely low SNR and large Doppler frequency shift.…”
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  19. 159

    Smart wireless low power valve positioner dedicated for use in aviation laboratories by Tomasz Kabala, Jerzy Weremczuk

    Published 2025-06-01
    “…Following sections show control algorithm, PCB design and test results. Research shows that designed valve positioner controller enables the system to reach control accuracy many times higher than typical valve positioners available on the market and could operate directly with external sensors. …”
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  20. 160

    New Directions for Thermoelectrics: A Roadmap from High‐Throughput Materials Discovery to Advanced Device Manufacturing by Kaidong Song, Ali Newaz Mohammad Tanvir, Md Omarsany Bappy, Yanliang Zhang

    Published 2025-03-01
    “…The emerging field of high‐throughput material discovery demonstrates its potential to accelerate the development of new thermoelectric materials combining high efficiency and low cost. The synergistic integration of high‐throughput material processing and characterization techniques with machine learning algorithms can form an efficient closed‐loop process to generate and analyze broad datasets to discover new thermoelectric materials with unprecedented performances. …”
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    Article