Mobility model detection method based on birth and death model in DTN environment by ENGGuang-hong D, AOWan-hua C, HANGJian Z, HENGXiong C, ENGLi F

“…A mobility model detection method based on birth and death model (MMD-BDM) in DTN environment was proposed.It first computed the connected channel capacity of sampling times according to the data traffic during the data transfer process,and then constructed the time varying intercommunication metrics at local,which composed of channel capacity between local node and others.Based on these,the connection birth and death mode of nodes based on connected edges was deduced,and then the birth and death features of the connected nodes was analyzed to detect the mobility model,which used to improve the routing strategy during the packages deliver process.Ultimately,the mobility model detection method was put into use in spray and wait routing (SWR) method and random network coding routing (RNCR) method to experiment,the simulation results show that,it can improve the opportunity routing performance of the data deliver rate and transfer latency in DTN environment.…”
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Retracted: Performance of Machine Learning and Image Processing in Plant Leaf Disease Detection by Journal of Food Quality

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Development of a Mobile Laser Measurement System for Subway Tunnel Deformation Detection by Wei Li, Haoran Duan, Qiuzhao Zhang, Jiahui Liang, Wei Duan, Kaikun Zhang, Wenda Wang, Huachao Yang

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A novel method for estrous cycle staging using supervised object detection by Benjamin Babaev, Saachi Goyal, Tushar Arora, Anita Autry, Rachel A. Ross

“…This study assesses the feasibility and reliability of two previous image classification models as well as introducing an alternative method of machine learning to address the challenges posed by manual vaginal cytology and image classification. An object detection-based machine learning model, Object Detection Estrous Staging (ODES), was employed to identify cell types throughout the estrous cycle in mice. …”
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Research on multidimensional dynamic defense strategy for microservice based on deep reinforcement learning by Dacheng ZHOU, Hongchang CHEN, Weizhen HE, Guozhen CHENG, Hongchao HU

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Ship infrared image edge detection based on an improved adaptive Canny algorithm by Lisang Liu, Fenqiang Liang, Jishi Zheng, Dongwei He, Jing Huang

“…In this paper, an improved adaptive Canny edge detection algorithm for infrared image of ship is proposed, which aims to solve the threshold of the traditional Canny cannot be adjusted automatically and the shortcomings of sensitivity to noise. …”
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Deep Learning and Recurrence Information Analysis for the Automatic Detection of Obstructive Sleep Apnea by Daniele Padovano, Arturo Martinez-Rodrigo, José M. Pastor, José J. Rieta, Raul Alcaraz

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New Diagnostic Real-Time PCR for Specific Detection of Mycoplasma hominis DNA by Andres Pascual, Katia Jaton, Béatrice Ninet, Jacques Bille, Gilbert Greub

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Sarcasm detection method based on fusion of text semantics and social behavior information by Zhaoyang FU, Zhikai CHEN, Li PAN

Subjects: “…sarcasm detection…”
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Inorganic Acid Anions in Distilled Alcoholic Beverages: Capillary Electrophoresis with Conductometric Detection by Nataliya V. Shelekhova, Irina M. Abramova, Tamara М. Shelekhova

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A Case of Intrathoracic Gastric Duplication Cyst Detected on Prenatal Ultrasound Examination by Hisako Yagi, Yoshino Kinjyo, Yukiko Chinen, Hayase Nitta, Tadatsugu Kinjo, Keiko Mekaru, Hitoshi Masamoto, Hideki Goya, Tomohide Yoshida, Naoya Sanabe, Yoichi Aoki

“…Accurate diagnosis is not necessary, but detection and continuous observation are logical. Although gastric duplication, particularly intrathoracic, is a rare pathology, it should be considered in the differential diagnosis of any intrathoracic cyst.…”
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Limits of deception in Islamic laws of war: the case of civilian disguises in suicide attacks by Fajri Matahati Muhammadin

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Femtomolar hydrogen sulfide detection via hybrid small-molecule nano-arrays by Xing Xing, Luyan Wu, Yuchen Zhang, Jiahao Pan, Yusuke Ishigaki, Huaqing Xie, Takanori Suzuki, Deju Ye, Jianhua Zhang, Weihua Zhang, Zhenda Lu

“…Abstract Early disease diagnosis hinges on the sensitive detection of signaling molecules. Among these, hydrogen sulfide (H2S) has emerged as a critical player in cardiovascular and nervous system signaling. …”
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An Efficient Traffic Incident Detection and Classification Framework by Leveraging the Efficacy of Model Stacking by Zafar Iqbal, Majid I. Khan, Shahid Hussain, Asad Habib

“…Automatic incident detection (AID) plays a vital role among all the safety-critical applications under the parasol of Intelligent Transportation Systems (ITSs) to provide timely information to passengers and other stakeholders (hospitals and rescue, police, and insurance departments) in smart cities. …”
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Flexible Nanostructured NiS-Based Electrochemical Biosensor for Simultaneous Detection of DNA Nucleobases by Prajakta N. Gaikwad, Trishala R. Desai, Souradyuti Ghosh, Chitra Gurnani

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Performance Comparison of Cherry Tomato Ripeness Detection Using Multiple YOLO Models by Dayeon Yang, Chanyoung Ju

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Research on Deviation Detection of Belt Conveyor Based on Inspection Robot and Deep Learning by Yi Liu, Changyun Miao, Xianguo Li, Guowei Xu

“…In this paper, a deviation detection method of the belt conveyor based on inspection robot and deep learning is proposed to detect the deviation at its any position. …”
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CAR T-cell detection scoping review: an essential biomarker in critical need of standardization by Naomi Taylor, Nirali N Shah, David P Turicek, Victoria M Giordani, Josquin Moraly

“…As such, the tools used to detect CAR T-cells following infusion are fundamental for optimizing this therapeutic approach. …”
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Android malware detection method based on byte-code image and deep learning by Tieming CHEN, Binbin XIANG, Mingqi LV, Bo CHEN, Xie JIANG

Subjects: “…malware detection…”
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Light-weighted vehicle detection network based on improved YOLOv3-tiny by Pingshu Ge, Lie Guo, Danni He, Liang Huang

“…Vehicle detection is one of the most challenging research works on environment perception for intelligent vehicle. …”
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