Search Results - "Ni, Jianjun"

Hyperspectral Attention Network for Object Tracking by Yu, Shuangjiang, Ni, Jianjun, Fu, Shuai, Qu, Tao

“…Hyperspectral video provides rich spatial and spectral information, which is crucial for object tracking in complex scenarios. Despite extensive research,…”
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High Power Factor AC-DC LED Driver With Film Capacitors by Zhang, Fanghua, Ni, Jianjun, Yu, Yijie

“…In this paper, a new method is proposed to eliminate electrolytic capacitors in a two-stage ac-dc light-emitting diode (LED) driver. DC-biased sinusoidal or…”
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A Survey of Object Detection for UAVs Based on Deep Learning by Tang, Guangyi, Ni, Jianjun, Zhao, Yonghao, Gu, Yang, Cao, Weidong

“…With the rapid development of object detection technology for unmanned aerial vehicles (UAVs), it is convenient to collect data from UAV aerial photographs…”
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A Review on Medical Textual Question Answering Systems Based on Deep Learning Approaches by Mutabazi, Emmanuel, Ni, Jianjun, Tang, Guangyi, Cao, Weidong

“…The advent of Question Answering Systems (QASs) has been envisaged as a promising solution and an efficient approach for retrieving significant information…”
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An Improved Attention-based Bidirectional LSTM Model for Cyanobacterial Bloom Prediction by Ni, Jianjun, Liu, Ruping, Tang, Guangyi, Xie, Yingjuan

“…Cyanobacterial blooms are one of the most serious water pollution problems for freshwater lakes. The treatment of blooms requires a lot of material and…”
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An Overview of Key SLAM Technologies for Underwater Scenes by Wang, Xiaotian, Fan, Xinnan, Shi, Pengfei, Ni, Jianjun, Zhou, Zhongkai

“…Autonomous localization and navigation, as an essential research area in robotics, has a broad scope of applications in various scenarios. To widen the…”
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UAV Coverage Path Planning With Limited Battery Energy Based on Improved Deep Double Q-network by Ni, Jianjun, Gu, Yu, Gu, Yang, Zhao, Yonghao, Shi, Pengfei

“…In response to the increasingly complex problem of patrolling urban areas, the utilization of deep reinforcement learning algorithms for autonomous unmanned…”
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A Survey on Theories and Applications for Self-Driving Cars Based on Deep Learning Methods by Ni, Jianjun, Chen, Yinan, Chen, Yan, Zhu, Jinxiu, Ali, Deena, Cao, Weidong

“…Self-driving cars are a hot research topic in science and technology, which has a great influence on social and economic development. Deep learning is one of…”
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Parameter Optimization of Support Vector Regression Using Henry Gas Solubility Optimization Algorithm by Cao, Weidong, Liu, Xin, Ni, Jianjun

“…Support vector regression (SVR) is one of the most powerful and widely used machine learning algorithms regarding prediction. The kernel type, penalty factor…”
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A Small-Object Detection Model Based on Improved YOLOv8s for UAV Image Scenarios by Ni, Jianjun, Zhu, Shengjie, Tang, Guangyi, Ke, Chunyan, Wang, Tingting

“…Small object detection for unmanned aerial vehicle (UAV) image scenarios is a challenging task in the computer vision field. Some problems should be further…”
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A novel underwater dam crack detection and classification approach based on sonar images by Shi, Pengfei, Fan, Xinnan, Ni, Jianjun, Khan, Zubair, Li, Min

“…Underwater dam crack detection and classification based on sonar images is a challenging task because underwater environments are complex and because cracks…”
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An Adaptive Approach Based on KPCA and SVM for Real-Time Fault Diagnosis of HVCBs by Jianjun Ni, Chuanbiao Zhang, Yang, S. X.

“…High-voltage circuit breakers (HVCBs) play an important role in power systems, which can control and ensure the power grids are working properly. Real-time…”
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A novel underwater sonar image enhancement algorithm based on approximation spaces of random sets by Shi, Pengfei, Lu, Liang, Fan, Xinnan, Xin, Yuanxue, Ni, Jianjun

“…Underwater environment is complex and random. The images obtained from underwater by sonar always have uneven background gray distribution and fuzzy details of…”
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Synergistic Catalysis of Water-Soluble Exogenous Catalysts and Reservoir Minerals during the Aquathermolysis of Heavy Oil by Wang, Qian, Zhang, Shu, Chen, Xiang, Ni, Jianjun, Du, Jialu, Li, Yongfei, Xin, Xin, Zhao, Bin, Chen, Gang

“…Oil serves as the essential fuel and economic foundation of contemporary industry. However, the use of traditional light crude oil has exceeded its supply,…”
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An Improved Model for Medical Forum Question Classification Based on CNN and BiLSTM by Mutabazi, Emmanuel, Ni, Jianjun, Tang, Guangyi, Cao, Weidong

“…Question Classification (QC) is the fundamental task for Question Answering Systems (QASs) implementation, and is a vital task, as it helps in identifying the…”
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Bioinspired Intelligent Algorithm and Its Applications for Mobile Robot Control: A Survey by Yang, Simon X., Fan, Xinnan, Wu, Liuying, Ni, Jianjun

“…Bioinspired intelligent algorithm (BIA) is a kind of intelligent computing method, which is with a more lifelike biological working mechanism than other types…”
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A Dynamic Bioinspired Neural Network Based Real-Time Path Planning Method for Autonomous Underwater Vehicles by Yang, Simon X., Shi, Pengfei, Wu, Liuying, Ni, Jianjun

“…Real-time path planning for autonomous underwater vehicle (AUV) is a very difficult and challenging task. Bioinspired neural network (BINN) has been used to…”
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Capacitor Clamped Current-Sharing Circuit for Multistring LEDs by Yu, Yijie, Zhang, Fanghua, Ni, Jianjun

“…This paper proposes a simple capacitor clamped current-sharing circuit including linear and loop types according to the connection of capacitors for…”
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An Improved Visual SLAM Based on Map Point Reliability under Dynamic Environments by Ni, Jianjun, Wang, Li, Wang, Xiaotian, Tang, Guangyi

“…The visual simultaneous localization and mapping (SLAM) method under dynamic environments is a hot and challenging issue in the robotic field. The oriented…”
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Collaborative Filtering Recommendation Algorithm Based on TF-IDF and User Characteristics by Ni, Jianjun, Cai, Yu, Tang, Guangyi, Xie, Yingjuan

“…The recommendation algorithm is a very important and challenging issue for a personal recommender system. The collaborative filtering recommendation algorithm…”
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