Monitoring of Caged Bluefin Tuna Reactions to Ship and Offshore Wind Farm Operational Noises by Vicente Puig-Pons, Ester Soliveres, Isabel Pérez-Arjona, Victor Espinosa, Pedro Poveda-Martínez, Jaime Ramis-Soriano, Patricia Ordoñez-Cebrián, Marek Moszyński, Fernando de la Gándara, Manuel Bou-Cabo, José L. Cort, Eladio Santaella

“…Fish behavior was continuously monitored, combining synchronized echosounder and video recording systems. Automatic information extracted from acoustical echograms was used to describe tuna reaction to noise in terms of average depth and vertical dimensions of the school and the indicators of swimming speed and tilt direction. …”
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Learning for clinical named entity recognition without manual annotations by Omid Ghiasvand, Rohit J. Kate

“…Keywords: Named entity recognition, Clinical text, Machine learning, Natural language processing, Information extraction…”
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Land Cover Classification of Remote Sensing Images Based on Hierarchical Convolutional Recurrent Neural Network by Xiangsuo Fan, Lin Chen, Xinggui Xu, Chuan Yan, Jinlong Fan, Xuyang Li

“…Multispectral image classification can benefit from the rich spectral information extracted by these models for land cover classification. …”
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Fast Sequential Clustering in Riemannian Manifolds for Dynamic and Time-Series-Annotated Multilayer Networks by Cong Ye, Konstantinos Slavakis, Johan Nakuci, Sarah F. Muldoon, John Medaglia

“…This work exploits Riemannian manifolds to build a sequential-clustering framework able to address a wide variety of clustering tasks in dynamic multilayer (brain) networks via the information extracted from their nodal time-series. The discussion follows a bottom-up path, starting from feature extraction from time-series and reaching up to Riemannian manifolds (feature spaces) to address clustering tasks such as state clustering, community detection (a.k.a. network-topology identification), and subnetwork-sequence tracking. …”
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The Early Detection of the Emerald Ash Borer (EAB) Using Advanced Geospacial Technologies by B. Hu, J. Li, J. Wang, B. Hall

“…The objectives of this study were to exploit Light Detection And Ranging (LiDAR) and very high spatial resolution (VHR) data and their synergy with hyperspectral imagery in the early detection of the EAB presence in trees within urban areas and to develop a framework to combine information extracted from multiple data sources. To achieve these, an object-oriented framework was developed to combine information derived from available data sets to characterize ash trees. …”
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Can we use deep learning models to identify the functionality of plastics from space? by Shanyu Zhou, Lichao Mou, Dr., Yuansheng Hua, Lixian Zhang, Hermann Kaufmann, Xiao Xiang Zhu

“…Then, different deep learning algorithms were used to assign functions to the initially classified plastic targets based on the RGB information extracted from Sentinel-2 satellite images. A total of 1,645 plastic polygons were manually labeled on RGB images of Sentinel-2, and the following five main function types were identified: plastic cover sheeting for construction areas, greenhouse structures, photovoltaic panels (PVs), roof materials, and sport field floorings. …”
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Analysis of Differences in Phenology Extracted from the Enhanced Vegetation Index and the Leaf Area Index by Cong Wang, Jing Li, Qinhuo Liu, Bo Zhong, Shanlong Wu, Chuanfu Xia

“…Since the enhanced vegetation index (EVI) and the leaf area index (LAI) are the most widely used vegetation parameters for remote-sensing phenology extraction, this paper aims to assess the differences in phenological information extracted from EVI and LAI time series and to explore whether either index performs well for all vegetation types on a large scale. …”
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Gradient-Based Assessment of Habitat Quality for Spectral Ecosystem Monitoring by Carsten Neumann, Gabriele Weiss, Sebastian Schmidtlein, Sibylle Itzerott, Angela Lausch, Daniel Doktor, Maximilian Brell

“…The monitoring of ecosystems alterations has become a crucial task in order to develop valuable habitats for rare and threatened species. The information extracted from hyperspectral remote sensing data enables the generation of highly spatially resolved analyses of such species’ habitats. …”
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MFF-Net: Deepfake Detection Network Based on Multi-Feature Fusion by Lei Zhao, Mingcheng Zhang, Hongwei Ding, Xiaohui Cui

“…Therefore, this research proposes a deepfake detection network fusing RGB features and textural information extracted by neural networks and signal processing methods, namely, MFF-Net. …”
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Prioritization of risk genes for Alzheimer’s disease: an analysis framework using spatial and temporal gene expression data in the human brain based on support vector machine by Shiyu Wang, Xixian Fang, Xiang Wen, Congying Yang, Ying Yang, Tianxiao Zhang, Tianxiao Zhang

“…Human genes were classified as AD risk or non-risk sets based on information extracted from relevant databases. Support vector machine (SVM) models were constructed to capture the expression patterns of genes believed to contribute to the risk of AD.Results: The recursive feature elimination (RFE) method was utilized for feature selection. …”
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Multi-Source Time Series Remote Sensing Feature Selection and Urban Forest Extraction Based on Improved Artificial Bee Colony by Jin Yan, Yuanyuan Chen, Jiazhu Zheng, Lin Guo, Siqi Zheng, Rongchun Zhang

“…Taking Nanjing as the study area, this research extracted 55 vegetation phenological features from Sentinel-2A time series images and formed a feature set containing 81 parameters together with 26 features, including polarimetric- and texture-related information extracted from dual-polarization Sentinel-1A data. …”
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The Top 50 Most-Cited Shoulder Arthroscopy Studies by M. Lane Moore, B.S., Jordan R. Pollock, B.S., Kade S. McQuivey, M.D., Joshua S. Bingham, M.D.

“…The search list was sorted so that articles were organized in descending order based on the number of citations and included or excluded based on relevance to shoulder arthroscopy. The information extracted for each article included author name, publication year, country of origin, journal name, article type, and the level of evidence. …”
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A 10-year critical review on hydrogen peroxide as a disinfectant: could it be an alternative for household water treatment? by Kamila Jessie Sammarro Silva, Lyda Patricia Sabogal-Paz

“…In this sense, this review presents systematically organized information extracted from papers on H2O2 disinfection from 2011 to 2021. …”
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Building Change Detection Based on 3D Co-Segmentation Using Satellite Stereo Imagery by Hao Wang, Xiaolei Lv, Kaiyu Zhang, Bin Guo

“…Building change detection using remote sensing images is significant to urban planning and city monitoring. The height information extracted from very high resolution (VHR) satellite stereo images provides valuable information for the detection of 3D changes in urban buildings. …”
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Test and Analysis of Vegetation Coverage in Open-Pit Phosphate Mining Area around Dianchi Lake Using UAV–VDVI by Weidong Luo, Shu Gan, Xiping Yuan, Sha Gao, Rui Bi, Lin Hu

“…The experimental results showed that the vegetation information extracted from the 2D image was mapped to the 3D point cloud in the form of surface to point, and the redundant bare ground information was eliminated. …”
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IMPACT OF BUILDING HEIGHTS ON 3D URBAN DENSITY ESTIMATION FROM SPACEBORNE STEREO IMAGERY by F. Peng, J. Gong, J. Gong, J. Gong, L. Wang, L. Wang, H. Wu, H. Wu, J. Yang

“…In our research, accurate planar information from city authorities is used during 3D density estimation as reference data, to avoid the errors inherent to planar information extracted from remotely sensed imagery. Our experimental results show that underestimation of building heights is correlated to underestimation of the Floor Area Ratio (FAR). …”
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Automatic and Accurate Acquisition of Stem-Related Phenotypes of Mature Soybean Based on Deep Learning and Directed Search Algorithms by Yixin Guo, Zhiqiang Gao, Zhanguo Zhang, Yang Li, Zhenbang Hu, Dawei Xin, Qingshan Chen, Rongsheng Zhu

“…Through comparison of the phenotypic information extracted by the directed search algorithm with the manual measurement results, we obtained the Pearson correlation coefficients, R, of plant height, pitch number, internodal length, main stem length, stem curvature, and branching angle, which were 0.9904, 0.9853, 0.9861, 0.9925, 0.9084, and 0.9391, respectively. …”
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The collaboration and reporting quality of social welfare systematic reviews in the Campbell Collaboration online library by Li-li Wei, Jing Zhang, Ying Yang, Hao-Yu Cao, Ke-hu Yang, Li-Juan Si, Jin-Hui Tian

“…Methods The Campbell collaboration online library was searched for systematic reviews of social welfare and the basic information extracted in order to assess the reporting quality of systematic reviews using a MOOSE checklist. …”
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Radio Frequency Interference Detection in Passive Microwave Remote Sensing Using One-Class Support Vector Machines by Imara Mohamed Nazar, Mustafa Aksoy

“…To overcome this challenge, this article presents a novel RFI detection algorithm that relies only on the information extracted from the RFI-free radiometer measurements which can be collected over oceans and rural areas with limited human activity, i.e., a one-class algorithm, to be implemented in future remote sensing radiometers. …”
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BiTNet: A lightweight object detection network for real-time classroom behavior recognition with transformer and bi-directional pyramid network by Jinhua Zhao, Hongye Zhu, Lei Niu

“…Then, the semantic and positional information extracted from the backbone are fused in Bi-directional Feature Pyramid Network (BiFPN). …”
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