Low-dose dobutamine stress myocardial contrast echocardiography for evaluating myocardial microcirculation perfusion and predicting long-term prognosis in ST-segment elevation myoc... by Li Li, Na Hu, Linzi Li, Liangyi Li

“…Abstract Objective Percutaneous coronary intervention (PCI) can effectively restore myocardial perfusion in patients with ST-segment elevation myocardial infarction (STEMI). …”
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Anomaly detection with domain specific shapelet learning for sucker rod pump system by Xiangyu Li, Zhupei Liao, Chunhua Yuan

“…The AD-DSL utilizes a mechanistic information matrix and introduces a sparsity-promoting objective function, enabling Shapelet-based features to learn from motor power time-series data interpretably. …”
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A range spread target detection algorithm based on polarimetric features and SVDD by Qiang LI, Yuanxin YAO, Xiangqi KONG

“…Multi-polarization range high resolution radar is an important mean for ground target detection.In the echo formed by it, the target occupies multiple range cells and becomes an extended target.The traditional spread target detection method relies on energy, and the detection performance decreases when the signal-to-clutter ratio decreases.A spread target detection algorithm based on polarization decomposition features was proposed, which improved the detection performance under low signal-to-clutter ratio by using the difference of polarization scattering characteristics between target and clutter.Specifically, 16 kinds of polarization decomposition features were extracted to form feature vectors as detection statistics, and then support vector data description (SVDD) was used to obtain the detection threshold.When training the detection threshold, the polarization decomposition features of clutter were extracted as training data.In order to ensure the false alarm probability, two penalty parameters were introduced into the objective function of SVDD.The experimental results show that the proposed method requires a signal-to-clutter ratio of about 12.6 dB in the case of Gobi background, false alarm probability of 10^-4 and detection probability of 90%, which is about 1.7 dB lower than the energy-based methods.…”
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Innovative adaptive edge detection for noisy images using wavelet and Gaussian method by Huanxu Li, Keke Xu

“…The proposed denoising module employs wavelet and Gaussian denoising functions to decompose, filter, and reconstruct the image, thereby reducing the impact of noise and enhancing image quality. …”
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A Weak Signal Detection Method for Bearing Based on QGA and Stochastic Resonance by GE Jiang hua, WANG Yan, WANG Ya ping, SUN Yong guo, Xu Di

“…Secondly, the output SNR is selected as the objective function, and the two parameter are dealt with adaptive optimization through the QGA; Finally, the SNR of weak signal is improved by stochastic resonance system. …”
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Cardiotoxicity in Children With Acute Ieukemia Treated by Anthracycline; Detected by Cardiac Troponins and Echcocardiography by Yaran Abbas Abdulqader, Mouroge Hashim Al-Ani, Nadine Abdulrazzak Mahmood

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Multi-Scale Construction Site Fire Detection Algorithm with Integrated Attention Mechanism by Haipeng Sun, Tao Yao

“…First, considering the wide range of scale variations in detected objects, an additional detection layer with a 64-times down-sampling rate is introduced to enhance the algorithm’s detection capability for multi-scale targets. …”
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Evaluation of ‘In-Parlour Scoring’ (IPS) to Detect Lameness in Dairy Cows during Milking by Jasmin Laschinger, Birgit Fuerst-Waltl, Lisa Fuerst, Sophie Linnenkohl, Robert Pesenhofer, Johann Kofler

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GLS-YOLO: A Lightweight Tea Bud Detection Model in Complex Scenarios by Shanshan Li, Zhe Zhang, Shijun Li

“…To tackle the challenges posed by varying poses and occlusions of tea buds, Shape-IoU was employed as the loss function to improve the scoring of similarly shaped objects, reducing false positives and false negatives while improving the detection of non-rectangular or irregularly shaped objects. …”
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A Detection Method for Conveyor Belt Damage with Small Size and Low Contrast by HAN Yajie, HAO Xiaoli, NIU Baoning, XUE Jindong

“…[Purposes] An improved YOLOv4 detection model is proposed to solve the problems of missing detection and false detection when the existing models detect objects with small size and low contrast with the background. …”
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CubicPat: Investigations on the Mental Performance and Stress Detection Using EEG Signals by Ugur Ince, Yunus Talu, Aleyna Duz, Suat Tas, Dahiru Tanko, Irem Tasci, Sengul Dogan, Abdul Hafeez Baig, Emrah Aydemir, Turker Tuncer

“…<b>Materials and Methods:</b> Two EEG datasets were collected to detect mental performance and stress. To achieve classification and explainable results, a new XFE model was developed, incorporating a novel feature extraction function called Cubic Pattern (CubicPat), which generates a three-dimensional feature vector by coding channels. …”
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Surface Defect Detection of Frozen Dumplings Based on Improved RetinaNet Model by Zhigen FEI, Xing GUO, Xiaoxiao SONG, Hao LU, Xinchang ZHAO

“…Objective: To improve the accuracy of surface defect detection of quick-frozen dumplings. …”
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Diagnostic value of combined detection of five biochemical indexes in early diabetic nephropathy by TANG Wei

“…Objective To investigate the diagnostic value of combined detection of serum cystatin C( Cys-C),homocysteine( Hcy),hypersensitive C-reactive protein( hs-CRP),urine β2 microglobulin( U-β2 MG) and urinary albumin( UAlb) in early diabetic nephropathy( DN). …”
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Enhanced pulmonary nodule detection with U-Net, YOLOv8, and swin transformer by Xing Wang, Houde Wu, Longshuang Wang, Jingxu Chen, Yi Li, Xinliu He, Ting Chen, Minghui Wang, Li Guo

“…Abstract Rationale and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide, emphasizing the critical need for early pulmonary nodule detection to improve patient outcomes. …”
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SGSNet: a lightweight deep learning model for strawberry growth stage detection by Zhiyu Li, Jianping Wang, Guohong Gao, Yufeng Lei, Chenping Zhao, Yan Wang, Haofan Bai, Yuqing Liu, Xiaojuan Guo, Qian Li

“…The DySample adaptive upsampling structure is employed to dynamically adjust sampling point locations, thereby enhancing the detection capability for objects at different scales. …”
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Biological markers of auditory gap detection in young, middle-aged, and older adults. by Bernhard Ross, Bruce Schneider, Joel S Snyder, Claude Alain

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Non-Destructive Detection of Soybean Storage Quality Using Hyperspectral Imaging Technology by Yurong Zhang, Wenliang Wu, Xianqing Zhou, Jun-Hu Cheng

“…The optimal model was used to visualize the dynamic distribution of these values. (3) Results: the crude fatty acid values exhibited a positive correlation with storage time, functioning as a direct indicator of soybean quality. …”
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EVALUATION OF THE OBJECTIVES POLARIZATION DISCRIMINATION AGAINST PASSIVE HINDRANCES WITH THE DEVICE, BASED ON CONSIDERATION OF THE SPATIAL VARIATION OF THE FARADAY ROTATION ANGLE I... by Volodymyr I. Mirnenko, Evgen A.Yufa A. Yufa, Maxim N. Zhuravskij

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Detecting Freezing of Gait in Parkinson Disease Using Multiple Wearable Sensors Sets During Various Walking Tasks Relative to Medication Conditions (DetectFoG): Protocol for a Pros... by Sébastien Cordillet, Sophie Drapier, Frédérique Leh, Audeline Dumont, Florian Bidet, Isabelle Bonan, Karim Jamal

“…Although several questionnaires exist, they lack objectivity. Using wearable sensors such as inertial measurement units (IMUs) to detect FoG episodes offers greater objectivity and accuracy. …”
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Defect detection in photolithographic patterns using deep learning models trained on synthetic data by Prashant P. Shinde, Priyadarshini P. Pai, Shashishekar P. Adiga, K. Subramanya Mayya, Yongbeom Seo, Myungsoo Hwang, Heeyoung Go, Changmin Park

“…We then employ state-of-the-art object detection models to investigate defect detection performance as a function of defect size, much smaller than the pitch width. …”
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