A Transformer-Based Diffusion Model for All-in-One Weather-Degraded Image Restoration by QIN Jing, WEN Yuanbo, GAO Tao, LIU Yao

“…Then, the subspace transposed Transformer for noise estimation (NE-STT) is proposed, which utilizes the degraded image and the noisy state to estimate noise distribution, including the subspace transposed self-attention (STSA) mechanism and a dual grouped gated feed-forward network (DGGFFN). …”
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Estimation of Anthocyanins in Apple Leaves Based on Ground Hyperspectral Imaging and Machine Learning Models by Yu Zhang, Mi Zou, Yanjun Li, Qingrui Chang, Xing Chen, Zhiyong Dai, Weihao Yuan

“…This study utilizes ground hyperspectral imaging to estimate anthocyanins in Fuji apple leaves in the Loess Plateau through spectral transformation, feature extraction (including band selection and spectral indices construction), and regression algorithm selection, establishing models for three growth stages. …”
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Advancements in Machine Learning (ML): Transforming the Future of Blood Cancer Detection and Outcome Prediction by Wiebke Rösler, Michael Roiss, Corinne Widmer

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Estimating Motion Parameters of Ground Moving Targets from Dual-Channel SAR Systems by Kun Liu, Xiongpeng He, Guisheng Liao, Shengqi Zhu, Cao Zeng

“…To address range migration, the RFRT algorithm is introduced to achieve arbitrary-order range migration correction for moving targets, and the generalized scaled Fourier transform (GSCFT) algorithm is applied to estimate the polynomial coefficients of the target. …”
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An Optimised Method for Fetching and Transforming Survey Data based on SQL and R Programming Language by Hasan et al.

“…As such, this paper proposes a method called ‘survey algorithm based on R programming language’ or SABR, for data transformation from the survey sheets inside R environments by treating the arrangement of data as a relational format. …”
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DOA estimation with anti-jitter based on DMA heterogeneous codebook cyclic Kalman filtering by LIU Wuding, YI Ming, JIN Liang, JIAO Shiheng, ZHANG Bingqi, LYU Haoyu

“…To address the issue of random angular jitter in airborne DOA estimation, an anti-jitter DOA estimation algorithm based on DMA heterogeneous codebook cyclic Kalman filtering was proposed. …”
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Multi-Level Depression Severity Detection with Deep Transformers and Enhanced Machine Learning Techniques by Nisar Hussain, Amna Qasim, Gull Mehak, Muhammad Zain, Grigori Sidorov, Alexander Gelbukh, Olga Kolesnikova

“…We take a dual approach using classical machine learning (ML) algorithms and recent Transformer-based architectures. …”
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Clinical prediction of intravenous immunoglobulin-resistant Kawasaki disease based on interpretable Transformer model. by Gahao Chen, Ziwei Yang

“…This study aims to develop and interpretable transformer-based clinical prediction model for IVIG resistant KD and validate its clinical utility. …”
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State estimation in an islanded hybrid solar-wind DC microgrid using Unscented Kalman Filter by Nima HajiHeydari Varnoosfaderani, Amir Khorsandi

“…The algorithm employs an unscented transform to eliminate the need for system linearization, with the Kalman filter playing a pivotal role in the estimation process. …”
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Computationally Efficient DOA Tracking Algorithm in Monostatic MIMO Radar with Automatic Association by Huaxin Yu, Xiaofei Zhang, Xueqiang Chen, Hailang Wu

“…A low-complexity DOA tracking algorithm in monostatic MIMO radar is proposed. The proposed algorithm obtains DOA estimation via the difference between previous and current covariance matrix of the reduced-dimension transformation signal, and it reduces the computational complexity and realizes automatic association in DOA tracking. …”
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A Framework of State Estimation on Laminar Grinding Based on the CT Image–Force Model by Jihao Liu, Guoyan Zheng, Weixin Yan

“…The intra-operative milling force signal is segmented by the tumbling window algorithm. Then, the similarity between the prediction sequences and the segmented milling signal is derived by the dynamic time warping (DTW) algorithm. …”
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Development of a Time Domain Identification Algorithm with a Spectral Objective Function by Oleg N. Korsun, Moung Htang Om

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CME Velocity Field Calculation Model Based on an Unsupervised Transformer Optical Flow Network by Qingyang Chen, Hong Lin, Zhenping Qiang, Hui Liu, Kaifan Ji, Zhenhong Shang

“…The optical flow algorithm (OF) is one the main methods for calculating image velocity field and has many applications in space weather. …”
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Joint DOD and DOA Estimation for High Speed Target Using Bistatic MIMO Radar by Jinli Chen, Jiaqiang Li, Peng Li, Yanping Zhu, Weijun Long

“…In bistatic multiple-input multiple-output (MIMO) radar, range migration and invalidly synthesized virtual array resulting from the serious mismatch of matched filter make it difficult to estimate direction of departure (DOD) and direction of arrival (DOA) of high speed target using the traditional superresolution algorithms. …”
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Direction-of-Arrival Estimation in Time-Modulated Linear Arrays Based on the MT-BCS Approach by Qing-He Zhang, En-Yu Zhang, Shi-Hui Zhang

“…The algorithm transforms DoA estimation into compressive sensing (BCS) formulation to tackle the sparse signal problem. …”
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Secondary Transmission and Channel Estimation for Symbiotic Radio With Orthogonal Time Frequency Space Modulation by Taoyu Xie, Siyao Li

“…Exploiting the spectrum structure induced by the secondary information, a deep learning (DL)-based secondary information detector is proposed. Moreover, after transforming the channel estimation problem into a compressed sensing (CS) problem, a DL-sparse Bayesian learning (SBL) network is proposed to improve the estimation accuracy and ease the computational afford by avoiding the large amount of iterations in conventional CS algorithms, e.g. the SBL algorithm. …”
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Mechanical Fault Sound Source Localization Estimation in a Multisource Strong Reverberation Environment by Yaohua Deng, Xiali Liu, Zilin Zhang, Daolong Zeng

“…Through the utilization of the U-net neural network, the response power spectra containing spurious peaks are transformed into “clean” estimated source distribution maps. …”
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A Computationally Efficient Estimator for the Target Angle, Delay, and Doppler Parameters in Passive Radar by Jing Yang, Chengcheng Liu, Jie Huang, Dapeng Liu, Ting Ding, Jiandong Zhu, Xia Li

“…Simulation results demonstrate that the proposed algorithm has low computational complexity, high real-time processing capability, and can achieve efficient and real-time estimation of the azimuth, elevation, TD, and DS parameters of weak target echoes in passive radar.…”
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Context guided transformer enhanced YOLOv8 for accurate juvenile abalone detection and counting by Dapeng Cheng, Ji Ruan, Xinhao Li, Feng Zhao, Shoudu Zhang, Guofan Zhang, Fucun Wu

“…The accurate detection and counting of juvenile abalones are essential for estimating population biomass and culture density in aquaculture. …”
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Implementation of Computer-Aided Piano Music Automatic Notation Algorithm in Psychological Detoxification by Xinmei Zhang

“…The variable Q-transform is introduced as a tool for multibasic frequency estimation of the time-frequency representation of music signals, which has better temporal resolution than CQT at the exact frequency resolution and efficient coefficient calculation. …”
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