Detection of Copy-Move Image Forgery Using Local Binary Pattern from Detailed Wavelet Coefficient by Daljeet Kaur, Ajay Lala, Kamaljeet Singh Kalsi

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Automatic detection and counting of wheat spike based on DMseg-Count by Hecang Zang, Yilong Peng, Meng Zhou, Guoqiang Li, Guoqing Zheng, Hualei Shen

“…However, in actual production, due to the susceptibility of wheat spike images to factors such as lighting conditions, shooting angles, occlusion, and overlap, the contour and features of wheat spike is unclear, which affects the accuracy of automatic detection and counting of wheat spike. In order to solve the above problems and further improve the accuracy of wheat spike counting, an improved wheat spike counting model DMseg-Count was proposed by enhancing local contextual supervision information based on existing target object counting model DM-Count. …”
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Reconstruction of thermal local signal from statistical downscaling (sd) through artificial neuronal network: detection of local patterns of change in Valencia Region (Spain) (1948-2011)

“…To do this, a statistical downscaling is performed with the observed data available through an ANN. This allowed us to detect local patterns of climate change that have been consistent over time and space. …”
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Reconstruction of thermal local signal from statistical downscaling (sd) through artificial neuronal network: detection of local patterns of change in Valencia Region (Spain) (1948-2011)

“…To do this, a statistical downscaling is performed with the observed data available through an ANN. This allowed us to detect local patterns of climate change that have been consistent over time and space. …”
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LGM-Net: Wheat Pest and Disease Detection Network Based on Local Global Information Interaction and Multi-Level Feature Fusion by Yimin Qu, Shaobo Yu, Jing Yang

“…Therefore, this paper proposes a wheat pest and disease detection network based on local global information interaction and multi-level feature fusion, aiming to improve the accuracy and efficiency of wheat pest and disease detection. …”
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One-step nested RT-PCR for COVID-19 detection: A flexible, locally developed test for SARS-CoV2 nucleic acid detection by Carmen Meza-Robles, Carlos E Barajas-Saucedo, Daniel Tiburcio-Jimenez, Karen A Mokay-Ramírez, Valery Melnikov, Iram P Rodriguez-Sanchez, Margarita L Martinez-Fierro, Idalia Garza-Veloz, Sergio A Zaizar-Fregoso, José Guzman-Esquivel, Mario Ramirez-Flores, Oscar A Newton-Sanchez, Francisco Espinoza-Gómez, Osiris G Delgado-Enciso, Alba SH Centeno-Ramirez, Ivan Delgado-Enciso

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Building the Future of Transportation: A Comprehensive Survey on AV Perception, Localization, and Mapping by Ashok Kumar Patil, Bhargav Punugupati, Himanshi Gupta, Niranjan S. Mayur, Srivatsa Ramesh, Prasad B. Honnavalli

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Acoustic emission localization model of concrete material based on convolutional neural network by DENG Yongdong, ZHOU Jingren, LU Xiang, CHEN Jiangkang

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Sensor Placement for Rupture Detection Using a Continuous Monitoring Strategy by Elena Batzella, Giacomo Ferrarese, Stefano Malavasi

“…This work proposes an analysis of the active monitoring method for rupture detection. The analysis regards the effect of sensor sensibility on the effectiveness of the localization method. …”
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Brain Tumour Segmentation and Grading Using Local and Global Context-Aggregated Attention Network Architecture by Ahmed Abdulhakim Al-Absi, Rui Fu, Nadhem Ebrahim, Mohammed Abdulhakim Al-Absi, Dae-Ki Kang

“…The main aim of this research is to design and develop an intelligent model that can detect and grade tumours more effectively. This research develops an aggregated architecture called LGCNet, which combines a local context attention network and a global context attention network. …”
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A Comparative Study for Localization of Forgery Regions in Images by Mustafa Ozden, Canberk Sahin

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Outlier Ensemble Based on Isolation Forest: The CBOEA Approach by Chaabouni Ali, Boujelben Mohamed Ayman

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Context-assisted personalized pedestrian dead reckoning localization with a smartphone by Gege Huang, Jingbin Liu, Sheng Yang, Xiaodong Gong, Yinzhi Zhao

“…The robustness of PDR significantly impacts indoor positioning accuracy, but various pedestrians and mobility contexts pose challenges for reliable step detection and accurate step length estimation. This paper proposes a context-assisted personalized PDR localization solution to address these challenges. …”
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Performance Analysis of Real-Time Detection Transformer and You Only Look Once Models for Weed Detection in Maize Cultivation by Oscar Leonardo García-Navarrete, Jesús Hernán Camacho-Tamayo, Anibal Bregon Bregon, Jorge Martín-García, Luis Manuel Navas-Gracia

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DETECTION OF Staphylococcus aureus FROM LOCAL AND IMPORTED CHICKEN IN DUHOK PROVINCE/KURDISTAN REGION OF IRAQ USING CONVENTIONAL AND MOLECULAR METHODS by Rezheen F. Abdulrahman

“…This study aimed to detect Staphylococcus aureus in local fresh whole chicken andfrozen imported chicken using conventional and PCR assay by targeting specific S. aureusthermonuclease gene (nuc). …”
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Peduncle Detection of Ripe Strawberry to Localize Picking Point Using DF-Mask R-CNN and Monocular Depth by Niraj Tamrakar, Bhola Paudel, Sijan Karki, Nibas Chandra Deb, Elanchezhian Arulmozhi, Jung Hoo Kook, Myeong Yong Kang, Dae Yeong Kang, Oluwasegun Moses Ogundele, Bikash Nakarmi, Moon Byung-Eun, Hyeon Tae Kim

“…However, accurately detecting and localizing the thin peduncle in a cluttered environment is a significant challenge. …”
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Robust robot localization with visually adaptive consensus filters in dynamic corridor environments by Suhyeon Kang, Heoncheol Lee

Subjects: “…Robot localization…”
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Bottom Plate Damage Localization Method for Storage Tanks Based on Bottom Plate-Wall Plate Synergy by Yunxiu Ma, Linzhi Hu, Yuxuan Dong, Lei Chen, Gang Liu

“…The maximum relative localization error was measured as 5.4%, indicating superior detection accuracy.…”
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An Object Detection Model based on Augmented Reality for Iraqi Archaeology by suha Dh. Athab, Abdulamir Abdullah Karim

Subjects: “…Anchor boxes, Classification, Computer Vision, Localization, Object detection.…”
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Reliability test for frequency estimation of sinusoid based on LMP detection by UGuo-bing H, ULi-zhong X, AOAn-ping B, UShan-shan W, AOYan G

“…A reliability test method based on locally most powerful (LMP) detection was proposed to evaluate the fre-quency estimation of sinusoid.The hypothesis test was created at first,and then a reference signal was generated depend-ing on the specific frequency estimation of the sinusoid.By analysis of the parameters differences from the probability distribution characteristics of the modulus of the cumulative sum series under the different two hypotheses,the reliability test for frequency estimate of sinusoid signal was performed by the proposed LMP-based statistic and threshold.The LMP statistic and its approximated theoretical detection performance were derived .Simulation results show that the pro-posed method can be used to verify the reliability for blind frequency estimation of sinusoid at low signal-to-noise ratio.…”
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