3D Object Detection Based on Graph Network Fusion Sampling Strategy by LI Wenju, CHEN Zhilin, QU Jiantao, CUI Liu, CHU Wanghui, GAO Hui

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A weakly supervised method for 3D object detection with partially annotated samples by Bin Lu, Qing Li, Yanju Liang

“…To overcome the limitations of limited sample annotations, we propose an innovative weakly supervised learning methodology that utilizes reciprocal knowledge transfer between image detection models and 3D point cloud detection models. …”
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PVLF: point-voxel local feature fusion for 3D detection by Haowei Zhao, Zhuolei Xiao

Subjects: “…3D object detection…”
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The fluorescent dyes TO-PRO-3 and TOTO-3 iodide allow detection of microbial cells in soil samples without interference from background fluorescence by Ruth Henneberger, Debra Birch, Peter Bergquist, Malcolm Walter, Roberto P. Anitori

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Detection limitations of bacteria in tissue samples by Tim Holm Jakobsen, Julius Bier Kirkegaard, Mads Lichtenberg, Lasse Andersson Kvich, Hans Gottlieb, Martin McNally, Thomas Bjarnsholt

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Water-Driven Cascade Specific Detection of Al(III)/Hg(II) and CN–/GSH in Real Water Samples by Rabia Ardahanlı, Abdullah S. Hussein, Ferruh Lafzi, Sinan Bayindir, Haydar Kilic

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A novel rhodamine 6G-based chemosensor for Fe3+ detection in water samples and cellular imaging by Bao-Long Hou, Wenyu Li, Ruirui Feng, Xiumei Yang, Jianli Liu, Cuiling Wang

“…Moreover, confocal laser scanning microscopy was employed to confirm the effectiveness of RIC for detecting Fe3+ in living cells. Additionally, RIC proved effective in detecting Fe3+ in aqueous samples, with favorable relative recovery and standard deviations, thus offering a new method for Fe3+ detection in practical applications.…”
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SPS-RCNN: Semantic-Guided Proposal Sampling for 3D Object Detection from LiDAR Point Clouds by Hengxin Xu, Lei Yang, Shengya Zhao, Shan Tao, Xinran Tian, Kun Liu

Subjects: “…3D object detection…”
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IoT intrusion detection method for unbalanced samples by ANTONG P, Wen CHEN, Lifa WU

“…In recent years, network traffic increases exponentially with the iteration of devices, while more and more attacks are launched against various applications.It is significant to identify and classify attacks at the traffic level.At the same time, with the explosion of Internet of Things (IoT) devices in recent years, attacks on IoT devices are also increasing, causing more and more damages.IoT intrusion detection is able to distinguish attack traffic from such a large volume of traffic, secure IoT devices at the traffic level, and stop the attack activity.In view of low detection accuracy of various attacks and sample imbalance at present, a random forest based intrusion detection method (Resample-RF) was proposed, which consisted of three specific methods: optimal sample selection algorithm, feature merging algorithm based on information entropy, and multi-classification greedy transformation algorithm.Aiming at the problem of unbalanced samples in the IoT environment, an optimal sample selection algorithm was proposed to increase the weight of small samples.Aiming at the low efficiency problem of random forest feature splitting, a feature merging method based on information entropy was proposed to improve the running efficiency.Aiming at the low accuracy problem of random forest multi-classification, a multi-classification greedy transformation method was proposed to further improve the accuracy.The method was evaluated on two public datasets.F1 reaches 0.99 on IoT-23 dataset and 1.0 on Kaggle dataset, both of which have good performance.The experimental results show that the proposed model can effectively identify the attack traffic from the massive traffic, better prevent the attack of hackers on the application, protect the IoT devices, and thus protect the related users.…”
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Detecting 3D Salinity Anomalies from Soil Sampling Points: A Case Study of the Yellow River Delta, China by Zhoushun Han, Xin Fu, Jianing Yu, Hengcai Zhang

“…To overcome this problem, this study proposes a 3D Soil-Salinity Anomaly Structure Extraction (3D-SSAS) methodology to discover soil-salinity anomalies and step forward in revealing the irregular 3D structure of soil-anomaly salinity areas from limited sampling points. …”
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Reusable thiophene-based fluorescent sensor for detection of toxic Au³ ⁺ in real samples: Integrated spectroscopic and computational insight by Hasher Irshad, Katrine Qvortrup

“…Therefore, real samples were also analyzed for the trace detection of Au3+ and ultra-fast, reversible and quantitative detection of Au3+ was achieved.…”
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Development of a TaqMan-based quantitative real-time PCR for the detection of Porcine circovirus type 3 by Zhiqiang Hu, Zhiqiang Hu, Ranran Lai, Wei Xu, Ran Guan, Ran Guan, Mingxiang Li, Mingxiang Li, Zhimin Zhang, Zhimin Zhang, Guiying Hao, Guiying Hao, Guangwen Yan, Guangwen Yan

Subjects: “…porcine circovirus type 3…”
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Keypoint Detection Based on Curvature Grouping and Adaptive Sampling by Bifu Li, Yu Cheng, Weitong Li

“…In the keypoint detection algorithm, the farthest point sampling methods and random sampling methods are usually used to select candidate points, then keypoints are screened out from the neighborhood of the candidate points. …”
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Few-Shot Object Detection via Sample Processing by Honghui Xu, Xinqing Wang, Faming Shao, Baoguo Duan, Peng Zhang

“…In this paper, a novel FSOD model via sample processing, namely, FSSP, is proposed to detect objects accurately with only a few annotated samples, which is based on the structural design of the Siamese network and uses YOLOv3-SPP as the baseline. …”
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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

“…Introduction: Environmental surveillance (ES) provides valuable insight into emergence, transmission, and spread of infectious diseases, yet can be expensive to perform. The simultaneous detection of multiple pathogens in wastewater can make the process more cost-effective, yet the majority of protocols for ES are often optimised for the detection of single pathogens. …”
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Effectiveness of Biological and Surgical Sampling for Detection of Mycobacterium Tuberculosis by R. N. Islamov, R. A. Sharipov, R. K. Tukfatullin, I. V. Sidorov, R. K. Yagafarova

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The detection of antibiotics in raw milk samples in bursa region by Canan Dokuzlu, Mustafa Tayar

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Advances in the detection methods for assessing the viability of cryopreserved samples by Hao Yan, Liu Zhicheng, Sun Heming, Zhai Wang, Sun Wenyu, Mu Long

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A Focus on Important Samples for Out-of-Distribution Detection by Jiaqi Wan, Guoliang Wen, Guangming Sun, Yuntian Zhu, Zhaohui Hu

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Early detection of anxiety symptoms in Autism Spectrum Disorder: An exploratory study in a Spanish sample of 3-6 year old children. by Montserrat Durán-Bouza, Silvia Gómez-Ríos, Margarita Cañadas-Pérez, Juan-Carlos Brenlla-Blanco

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