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P2d-DO: Degeneracy Optimization for LiDAR SLAM with Point-to-distribution Detection Factors Journal article
Chen, Weinan, Ji, Sehua, Lin, Xubin, Yang, Zhi Xin, Chi, Wenzheng, Guan, Yisheng, Zhu, Haifei, Zhang, Hong. P2d-DO: Degeneracy Optimization for LiDAR SLAM with Point-to-distribution Detection Factors[J]. IEEE Robotics and Automation Letters, 2025, 10(2), 1489-1496.
Authors:  Chen, Weinan;  Ji, Sehua;  Lin, Xubin;  Yang, Zhi Xin;  Chi, Wenzheng; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.6/5.5 | Submit date：2025/01/13
Accuracy And Robustness Improvement  Degeneracy Detection  Degeneracy Optimization  Lidar Slam  
A Series-LC-Assisted Oscillator Achieving -140.2dBc/Hz Phase Noise and 187.5dBc/Hz FoM at 10MHz Offset From 10.7GHz Journal article
Zhan, Xiangxun, Yin, Jun, Martins, Rui P., Mak, Pui In. A Series-LC-Assisted Oscillator Achieving -140.2dBc/Hz Phase Noise and 187.5dBc/Hz FoM at 10MHz Offset From 10.7GHz[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2025, 72(2), 389 - 393.
Authors:  Zhan, Xiangxun;  Yin, Jun;  Martins, Rui P.;  Mak, Pui In
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.0/3.7 | Submit date：2025/01/13
Phase Noise (Pn)  Figure Of Merit (Fom)  Series Lc  Oscillator  Frequency Tuning Range (Ftr)  
Output-Based Decentralized Adaptive Event-Triggered Control of Interconnected Systems with Sensor/Actuator Failures Journal article
Zhang, Zhirong, Wen, Changyun, Chen, Long, Song, Yongduan, Peng, Bowen, Feng, Gang. Output-Based Decentralized Adaptive Event-Triggered Control of Interconnected Systems with Sensor/Actuator Failures[J]. IEEE Transactions on Cybernetics, 2025, 55(2), 550-561.
Authors:  Zhang, Zhirong;  Wen, Changyun;  Chen, Long;  Song, Yongduan;  Peng, Bowen; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:9.4/10.3 | Submit date：2024/12/26
Backstepping  Decentralized Adaptive Control  Event-triggered Control  Output Feedback Control  Uncertain Nonlinear Interconnected Systems  
A 362-TOPS/W Mixed-Signal MAC Macro With Sampling-Weight-Nonlinearity Cancellation and Dynamic-Amplified Accumulation Journal article
Zhang, Ran, Cen, Xueru, Un, Ka Fai, Guo, Mingqiang, Qi, Liang, Martins, Rui P., Sin, Sai Weng. A 362-TOPS/W Mixed-Signal MAC Macro With Sampling-Weight-Nonlinearity Cancellation and Dynamic-Amplified Accumulation[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2025.
Authors:  Zhang, Ran;  Cen, Xueru;  Un, Ka Fai;  Guo, Mingqiang;  Qi, Liang; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.2/4.5 | Submit date：2025/01/22
Dac Driver  Dynamic Amplifier  Machine Learning (Ml)  Mixed-signal Multiply-and-accumulate (Mac)  Multi-bit Neural Network  
A Novel NN-Based Fast-Convergence Background Calibration for Timing Mismatch in TI ADCs Journal article
Lu, Zhifei, Zhang, Boyuan, Peng, Yutao, Peng, Xizhu, Tang, He, Pu, Jie, Qin, Ling, Guo, Mingqiang. A Novel NN-Based Fast-Convergence Background Calibration for Timing Mismatch in TI ADCs[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2025, 72(1), 48-52.
Authors:  Lu, Zhifei;  Zhang, Boyuan;  Peng, Yutao;  Peng, Xizhu;  Tang, He; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.0/3.7 | Submit date：2024/12/26
Background Calibration  Fast Convergence  Neural-network-based Extraction Module  Nn-based Calibration  Time-interleaved Adc (Ti Adc)  Timing Mismatch Calibration  
Adjustable Jacobi-Fourier Moment for Image Representation Journal article
Yang, Jianwei, Yuan, Xin, Lu, Xiaoqi, Tang, Yuan Yan. Adjustable Jacobi-Fourier Moment for Image Representation[J]. IEEE Transactions on Cybernetics, 2025, 55(1), 207-220.
Authors:  Yang, Jianwei;  Yuan, Xin;  Lu, Xiaoqi;  Tang, Yuan Yan
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:9.4/10.3 | Submit date：2024/12/05
Adjustable Jacobi-fourier Moment (Ajfm)  Jacobi-fourier Moment (Jfm)  Rotation Invariant  Transformed Function  Zeros Distribution  
An Online ESR Estimation Method for Output Capacitor of DC-DC Boost Converter Without Current Sensor Journal article
Leong, Chio Hong, Wong, Chi Kong, Lam, Chi Seng. An Online ESR Estimation Method for Output Capacitor of DC-DC Boost Converter Without Current Sensor[J]. IEEE Transactions on Power Electronics, 2025, 40(1), 2196 - 2209.
Authors:  Leong, Chio Hong;  Wong, Chi Kong;  Lam, Chi Seng
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.6/6.9 | Submit date：2024/11/05
Aluminum Electrolytic Capacitor (Aec)  Boost Converter  Esr Estimation  Online Identification  Voltage Ripple  
Robust Dual-Filter Safety Control for Mobile Robots in Dynamic Multiobstacle Environments Journal article
Zhang, Yu, Kong, Linghuan, Yu, Xinbo, He, Wei, Knoll, Alois. Robust Dual-Filter Safety Control for Mobile Robots in Dynamic Multiobstacle Environments[J]. IEEE/ASME Transactions on Mechatronics, 2025.
Authors:  Zhang, Yu;  Kong, Linghuan;  Yu, Xinbo;  He, Wei;  Knoll, Alois
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.1/6.2 | Submit date：2025/01/22
Dynamic Control Barrier Functions (D-cbfs)  Rgb-d Perception  Safety-critical Control  Saliency Object Detection  
Stacked Ensemble of Extremely Interpretable Takagi-Sugeno-Kang Fuzzy Classifiers for High-Dimensional Data Journal article
Li, Yuchen, Zhou, Erhao, Vong, Chi Man, Wang, Shitong. Stacked Ensemble of Extremely Interpretable Takagi-Sugeno-Kang Fuzzy Classifiers for High-Dimensional Data[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025.
Authors:  Li, Yuchen;  Zhou, Erhao;  Vong, Chi Man;  Wang, Shitong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.6/8.7 | Submit date：2025/01/22
Extreme Interpretability  Feature Selection  Stacked Generalization  Takagi-sugeno-kang (Tsk) Fuzzy System  
Uncovering Financial Statement Fraud: A Machine Learning Approach With Key Financial Indicators and Real-World Applications Journal article
Li, Bixuan, Yen, Jerome, Wang, Sheng. Uncovering Financial Statement Fraud: A Machine Learning Approach With Key Financial Indicators and Real-World Applications[J]. IEEE Access, 2024, 12, 194859-194870.
Authors:  Li, Bixuan;  Yen, Jerome;  Wang, Sheng
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:3.4/3.7 | Submit date：2025/01/13
Financial Statement Fraud  Machine Learning  Fraud Detection  Feature Selection