Assessing the impact of artifact correction and artifact rejection on the performance of SVM- and LDA-based decoding of EEG signals by Guanghui Zhang, Steven J. Luck

“…We assessed decoding performance in relatively simple binary classification tasks using data from seven commonly-used event-related potential paradigms (N170, mismatch negativity, N2pc, P3b, N400, lateralized readiness potential, and error-related negativity), as well as more challenging multi-way decoding tasks, including stimulus location and stimulus orientation. …”
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Detection and Prediction of Wind and Solar Photovoltaic Power Ramp Events Based on Data-Driven Methods: A Critical Review by Jie Zhang, Xinchun Zhu, Yigong Xie, Guo Chen, Shuangquan Liu

“…The integration of artificial intelligence has accelerated progress in both event prediction and error correction. However, significant challenges remain, particularly regarding the interpretability, generalizability, and real-time applicability of advanced models. …”
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Contrastive Speaker Representation Learning with Hard Negative Sampling for Speaker Recognition by Changhwan Go, Young Han Lee, Taewoo Kim, Nam In Park, Chanjun Chun

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A Fast and High-Accuracy Real-Time Visible Light Positioning System Based on Single LED Lamp With a Beacon by Huaping Li, Hongbin Huang, Yongze Xu, Zhanhang Wei, Sichen Yuan, Puxi Lin, Hao Wu, Wen Lei, Junbin Fang, Zhe Chen

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Validation of a portable three-dimensional imaging system for volumetric measurement in the periorbital region by Xuan Zhang, Ji Shao, Ningxin Dai, Huimin Li, Yongwei Guo, Juan Ye, Lixia Lou

“…Intra-device, intra-rater and inter-rater reliabilities and accuracy of the volumetric measurement were evaluated by intraclass correlation coefficient (ICC), mean absolute difference (MAD), technical error of measurement (TEM), relative error measurement (REM), and relative TEM (rTEM).ResultsThe intra-device reliability of the 3D imaging system for volumetric measurement in the periorbital region was excellent (ICC = 0.922, MAD = 0.11 mm3, TEM = 0.09 mm3, REM = 0.19%, rTEM = 0.15%). …”
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Single Channel 50 Gbit/s Transmission Over 40 km SSMF Without Optical Amplification and In-Line Dispersion Compensation Using a Single-End PD-Based PDM-SSB-DMT System by Xian Zhou, Jiahao Huo, Kangping Zhong, Faisal Nadeem Khan, Tao Gui, Hongyu Zhang, Jiajing Tu, Jinhui Yuan, Keping Long, Changyuan Yu, Alan Pak Tao Lau, Chao Lu

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On the Potential of Bayesian Neural Networks for Estimating Chlorophyll-a Concentration from Satellite Data by Mohamad Abed El Rahman Hammoud, Nikolaos Papagiannopoulos, George Krokos, Robert J. W. Brewin, Dionysios E. Raitsos, Omar Knio, Ibrahim Hoteit

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Predicting Landing Position Deviation in Low-Visibility and Windy Environment Using Pilots’ Eye Movement Features by Xiuyi Li, Yue Zhou, Weiwei Zhao, Chuanyun Fu, Zhuocheng Huang, Nianqian Li, Haibo Xu

“…RF also performs well as per the RMSE metric, as it is suitable for predicting landing position errors of outliers.…”
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Optimal Power Flow Based on a Metaheuristics Optimization Approach for the Iraqi Super High Voltages Network by Ali Almosawi, Mesut Cevik, Aysel Ersoy

“…Moreover, the proposed GA and HPSO+GA methods requires no iterations hence errors of solution divergence and initial conditions are omitted.…”
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Numerical study of the heat transfer characteristics of Helium-Air flow in PCHE with zigzag channel by Haidong Liu, Qiao Zeng, Deqi Chen, Yi Xiao, Yangyang Wang, Mingxia Liu, Xiaoli Qu

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On-Orbit Real-Time Signal Processing for Spaceborne Digital Beamforming Scatterometer by Yongqing Liu, Peng Liu, Risheng Yun, Te Wang, Xiangkun Zhang

“…Sea Surface Salinity (SSS) is a crucial parameter influencing ocean circulation and the global water cycle in global climate monitoring and oceanographic research. However, remote sensing of SSS is challenged by the impact of sea surface roughness on microwave radiation measurements. …”
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Harnessing smartphone RGB imagery and LiDAR point cloud for enhanced leaf nitrogen and shoot biomass assessment - Chinese spinach as a case study by Aravind Harikumar, Aravind Harikumar, Itamar Shenhar, Itamar Shenhar, Itamar Shenhar, Miguel R. Pebes-Trujillo, Miguel R. Pebes-Trujillo, Lin Qin, Menachem Moshelion, Menachem Moshelion, Jie He, Jie He, Kee Woei Ng, Kee Woei Ng, Kee Woei Ng, Matan Gavish, Matan Gavish, Ittai Herrmann, Ittai Herrmann

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Building bridges through dynamic coupling for organic phosphorescence by Xin Li, Wenlang Li, Ziqi Deng, Jingtian Wang, Shan He, Xinwen Ou, David Lee Phillips, Guanjun Xiao, Bo Zou, Ryan T. K. Kwok, Jianwei Sun, Jacky W. Y. Lam, Zhihong Guo, Ben Zhong Tang

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A novel energy management system based on two-level hierarchical economic model predictive control for use in microgrid control by F.J. Vivas, A. Pajares, X. Blasco, J.M. Herrero, F. Segura, J.M. Andújar

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A Deep Learning-Based Mapping Model for Three-Dimensional Propeller RANS and LES Flow Fields by Jianhai Jin, Yuhuang Ye, Xiaohe Li, Liang Li, Min Shan, Jun Sun

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Automation of flow cytometry data analysis with elastic image registration by Allison Irvine, Mohamed Mahmoud Moustafa, Sahul Patel, Aniket Patel, Lilja Hardardottir, Francesca Delvecchio, Taylor Foreman, Jean Oak, Scott J. Bornheimer, Raffaello Cimbro

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Rational design of optimal bimetallic and trimetallic nickel-based single-atom alloys for bio-oil upgrading to hydrogen by Seba AlAreeqi, Connor Ganley, Daniel Bahamon, Kyriaki Polychronopoulou, Paulette Clancy, Lourdes F. Vega

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Long-term monitoring, predicting and connection between built-up land and urban heat island patterns based on remote sensing data by Keyvan Ezimand, Hossein Aghighi, Alireza Shakiba

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A YOLO-Based Model for Detecting Stored-Grain Insects on Surface of Grain Bulks by Xueyan Zhu, Dandan Li, Yancheng Zheng, Yiming Ma, Xiaoping Yan, Qing Zhou, Qin Wang, Yili Zheng

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Enhancing Voice Spoofing Detection: A Hybrid Approach With VGGish-LSTM Model for Improved Security in Automatic Speaker Verification Systems by Komal Shahzad, Saima Farhan, Yasin-Ul-Haq, Rabia Sana, Salman Pathan

“…We achieved a remarkable accuracy of 99.11% with an equal error rate of 1.18% on ASV Spoof 2019 LA dataset. …”
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