Research on Optimal Fabrication of High-Quality Ceramic by Process Analysis Technology by Jianhua Cheng, Minhui Tong

“…We developed a composite recognition method combining hybrid sensor recognition and artificial intelligence image recognition techniques and optimized quality monitoring of the ceramic production process. …”
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Video Detection and Fusion Tracking for the Targets in Traffic Scenario by Pan Li, Jianing Zhang, Chengxi Han, Luping Xu, Baoguo Feng, Yongjun Zhou, Sen Zhang, Bo Zhang

“…The experimental results demonstrate that the association algorithm for optimal data fusion proposed in this paper improves performance by 3.86% and 2.13% compared with the traditional fusion method and the IOU matching fusion, respectively. …”
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Linguistic Summarization and Outlier Detection of Blended Learning Data by Pham Dinh Phong, Pham Thi Lan, Tran Xuan Thanh

“…Those extracted linguistic summaries in the form of sentences in natural language are easy to understand for humans. Furthermore, a method of detecting the exceptional cases or outliers of the learning courses based on linguistic summaries expressing common rules in different scenarios is also proposed. …”
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Selection of an optimal cryoprotectant for long-term storage of human tendon allografts by A. A. Budaev, N. V. Borovkova, A. M. Fayn, M. S. Makarov, M. V. Storozheva, Yu. V. Andreev, A. S. Mironov

“…Allogeneic tendons potentially have a number of advantages. However, the method of long-term storage of allogeneic tendons has not been optimized to date.Aim. …”
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Enhanced water saturation estimation in hydrocarbon reservoirs using machine learning by Ali Akbari, Ali Ranjbar, Yousef Kazemzadeh, Dmitriy A. Martyushev

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Evaluating YOLOv8-Based Distance Estimation: A Comparison of OpenCV and Coordinate Attention Weighting in Blind Navigation Systems by Erwin Syahrudin, Ema Utami, Anggit Dwi Hartanto, Suwanto Raharjo

“…Additionally, the optimized OpenCV model demonstrated reduced latency, outperforming CAW in real-time detection speed. …”
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Optimising Wastewater Sample Processing for Multiple Pathogen Detection by Miss Shannon Fitz, Debora Akortia, Richard Larbi, Richard Owusu, Gifty Nkrumah, Dr Joyce Akello, Catherine Troman, Dr Jaspreet Mahindroo, Dr Anton Spader, Dr Ben Bellekom, Piya Rajendra, Professor Yaw Adu-Sarkodie, Dr Ellis Owusu-Dabo, Dr Nicholas Grassly, Dr Dilip Abraham, Professor Venkata Raghava Mohan, Dr Michael Owusu, Dr Alex Shaw

“…The sensitivity of these methods for pathogen detection was measured by qPCR, PCR, and nanopore sequencing. …”
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Detection and traceability of tetramethylpyrazine in the brewing process of Fuhexiangxing Baijiu by XUE Xijia, CHENG Wei, CHEN Xuefeng, LAN Wei, LI Na, LI Ruilong, PAN Tianquan, DAI Sen

“…The results showed that the optimal detection conditions were volume fraction of ethanol extract 20%, NaCl addition 1.6 g, and headspace solid-phase microextraction time 40 min. …”
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An Approach for Detecting Tomato Under a Complicated Environment by Chen-Feng Long, Yu-Juan Yang, Hong-Mei Liu, Feng Su, Yang-Jun Deng

“…The results indicate that the improved Graph-CenterNet method significantly enhances the accuracy and robustness of tomato detection in complex environments.…”
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Lightweight wavelet-CNN tea leaf disease detection. by Jing Yang, GaoJian Xu, MengDao Yang, ZhengPei Lin

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Laparoscopic sleeve gastrectomy and simultaneous cholecystectomy: a choice of optimal tactics by I. М. Todurov, O. V. Perekhrestenko, O. О. Kalashnikov, S. V. Kosiukhno

“…Materials and methods. Between January 2012 and March 2021, 59 morbidly obese patients underwent LSG and were considered for the present study. …”
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Android malware detection based on improved random forest by Hong-yu YANG, Jin XU

“…Aiming at the defect of vote principle in random forest algorithm which is incapable of distinguishing the differences between strong classifier and weak classifier,a weighted voting improved method was proposed,and an improved random forest classification (IRFCM) was proposed to detect Android malware on the basis of this method.The IRFCM chose Permission information and Intent information as attribute features from AndroidManifest.xml files and optimized them,then applied the model to classify the final feature vectors.The experimental results in Weka environment show that IRFCM has better classification accuracy and classification efficiency.…”
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Algorithms for Integrated Object Detection in Wireless Sensor Networks by V. I. Parfenov, T. T. Bui

“…Synthesis and analysis of an integrated algorithm for object detection in wireless sensor networks with a linear topology.Materials and methods. …”
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Towards Improved Nepovirus Detection and Identification in Xiphinema Nematodes by Ellen A. Everaert, Nicole Viaene, Paul Quataert, Annelies Haegeman, Kris De Jonghe

“…The aim of this study was to develop an optimized method to detect virus-carrying Xiphinema specimens. …”
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Program semantic analysis model for code reuse detection by GUO Xi, WANG Pan

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Tennis ball detection based on YOLOv5 with tensorrt by Xiulei Zhang, Bin Li

“…To improve the accuracy and speed of the penalty, the study proposes a hawk eye detection method for tennis games based on YOLOv5 and TensorRT. …”
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BARD1 serum autoantibodies for the detection of lung cancer. by Maxim Pilyugin, Pascaline Descloux, Pierre-Alain André, Viktoria Laszlo, Balazs Dome, Balazs Hegedus, Sylvain Sardy, Samuel Janes, Andrea Bianco, Geoffrey J Laurent, Irmgard Irminger-Finger

“…<h4>Methods</h4>ELISA assays were performed with a panel of BARD1 epitopes to detect serum levels of antibodies against BARD1 epitopes. …”
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Design and Synthesis of Ag Nanocluster Molecular Beacon for Adenosine Triphosphate Detection by Xiaoshuang Li, Hao Zhang, Ying Zhao, Lili Lian, Xiyue Wang, Wenxiu Gao, Bo Zhu, Dawei Lou

“…This study presents a fluorescence method for detecting adenosine triphosphate (ATP) based on a label-free Ag nanocluster molecular beacon (MB) with high sensitivity. …”
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GaLAM: Two-Stage Outlier Detection Algorithm by Xiaojun Lu, Zhe Yan, Ziyun Fan

“…In this paper, we propose Globally-and-Locally-Affine Matching (GaLAM), a two-stage outlier detection method. In the first stage, GaLAM optimizes the edge features of Adaptive Locally Affine Matching (AdaLAM) and replaces the statistical neighborhood-based approach with classical geometric deviation metrics. …”
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AI-Assisted Detection and Localization of Spinal Metastatic Lesions by Edgars Edelmers, Artūrs Ņikuļins, Klinta Luīze Sprūdža, Patrīcija Stapulone, Niks Saimons Pūce, Elizabete Skrebele, Everita Elīna Siņicina, Viktorija Cīrule, Ance Kazuša, Katrina Boločko

“…Methods: Our methodology employs multiple variations of the U-Net architecture and utilizes two distinct datasets: one consisting of 115 polytrauma patients for vertebra segmentation and another comprising 38 patients with documented spinal metastases for lesion detection. …”
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