A Front Water Recognition Method Based on Image Data for Off-Road Intelligent Vehicle by Haiwei Wang, Yibing Zhao

“…In this paper, based on smart data aggregation inspired paradigm of IoT applications, we mainly study perception technology in vehicle networking by using image data and one symmetrical speeded-up robust features detector (SURF). By considering symmetry and image data aggregation, we found that data aggregation had the ability of providing global information for Internet of Vehicles systems. …”
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Effect of touristic activities on seabirds’ habitat selection on sandy beaches by Costa Leonardo, Rangel Danilo Freitas, Zalmon Ilana

“…Seabirds were counted while foraging at the interface between the surf zone and foreshore in three sectors with different levels of urbanization in southeastern Brazil. …”
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An Approach to Fault Diagnosis for Gearbox Based on Image Processing by Yang Wang, Yujie Cheng

“…Then, speeded up robustness feature (SURF) is applied to automatically extract the image feature points of the bispectrum contour map, and the feature dimension is reduced by principal component analysis (PCA). …”
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Üç Farklı Tek Renkli Rezin Kompozitlerin Mekanik Özelliklerinin Değerlendirilmesi by Nazmiye Dönmez, Beyza Erol, Ayca Sarıalıoglu Gungor

“…Kompozit örneklerin Vickers sertlik değerleri (n=10) (VHN, Shimadzu, Kyoto, Japonya) ve yüzey pürüzlülük değerleri (Ra) (n=10) profilometre cihazı (MarSurf M 300 C, Mahr, Almanya) kullanılarak ölçüldü. …”
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A Hybrid Approach for Sports Activity Recognition Using Key Body Descriptors and Hybrid Deep Learning Classifier by Muhammad Tayyab, Sulaiman Abdullah Alateyah, Mohammed Alnusayri, Mohammed Alatiyyah, Dina Abdulaziz AlHammadi, Ahmad Jalal, Hui Liu

“…Various feature descriptors, including MSER (Maximally Stable Extremal Regions), SURF (Speeded-Up Robust Features), distance transform, and DOF (Degrees of Freedom), were applied to skeleton points, while BRIEF (Binary Robust Independent Elementary Features), HOG (Histogram of Oriented Gradients), FAST (Features from Accelerated Segment Test), and Optical Flow were used on silhouettes or full-body points to capture both geometric and motion-based features. …”
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Mutation analysis of SHP2, SOS1, and SOS2 related to dysregulation of Ras/MAPK pathway in Noonan syndrome by Nihayatul Karimah

“…Protein sequence was retrieved from UniProt, and evolutionary conservation profiles were estimated by ConSurf. The structures of SHP2 and SOS1 were obtained from Protein Data Bank, while the undefined structure of SOS2 was modeled using YASARA. …”
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A Multifeature Fusion Network for Tree Species Classification Based on Ground-Based LiDAR Data by Yaoting Liu, Yiming Chen, Zhengjun Liu, Jianchang Chen, Yuxuan Liu

“…We also utilize the umbrella-repSurf module, which captures local geometric features and enhances the model's responsiveness to tree structural nuances. …”
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A Hybrid Approach for Color Face Recognition Based on Image Quality Using Multiple Color Spaces by Mahdi Hosseinzadeh, Mohammad Mehdi Pazouki, Önsen Toygar

“…Based on the categorized face images, three feature extraction and classification methods as Scale Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF), and Convolutional Neural Networks (CNN) are applied to face images using RGB, YCbCr, and HSV color spaces to extract the features and then classify the images for face recognition. …”
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Degrade or Super-Resolve to Recognize? Bridging the Domain Gap for Cross-Resolution Face Recognition by Klemen Grm, Berk Kemal Ozata, Alperen Kantarci, Vitomir Struc, Hazim Kemal Ekenel

“…Our experiments on the SCFace and DroneSURF datasets reveal that the success of face hallucination is highly dependent on the quality of the original images, since poor image quality can severely limit the effectiveness of the hallucination technique. …”
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Three-Dimensional Reconstruction of Tunnel Face Based on Multiple Images by Wenge Qiu, Liao Jian, Yunjian Cheng, Hengbin Bai

“…SpeededUp Robust Features (SURF) is a good practice for detecting feature points, and the sparse point cloud is reconstructed from multiview photos by structure from motion (SFM). …”
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Computational Analysis of nsSNPs of ADA Gene in Severe Combined Immunodeficiency Using Molecular Modeling and Dynamics Simulation by Soukaina Essadssi, Al Mehdi Krami, Lamiae Elkhattabi, Zouhair Elkarhat, Ghita Amalou, Houria Abdelghaffar, Hassan Rouba, Abdelhamid Barakat

“…Using eleven prediction tools, we identified 15 nsSNPs (H15D, H15P, H17Q, H17Y, D19N, T26I, G140E, C153F, A183D, G216R, H258Y, C262Y, S291L, S291W, and K34OE) as harmful. The results of ConSurf’s analysis revealed that all these nsSNPs are localised in the highly conserved positions and affect the structure of the native proteins. …”
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An In silico Approach towards Finding the Cancer-Causing Mutations in Human MET Gene by Fayeza Sadia Laskar, Md. Nazmul Islam Bappy, Md. Sowrov Hossain, Zenifer Alam, Dilruba Afrin, Sudeb Saha, Kazi Md. Ali Zinnah

“…Moreover, these nsSNPs exhibited substantial effects on structure, binding affinity with ligand, phylogenetic conservation, secondary structure, and post-translational modification sites of MET, which were evaluated using MutPred2, RaptorX, ConSurf, PSIPRED, and MusiteDeep, respectively. Also, these deleterious nsSNPs were accompanied by changes in properties of MET like residue charge, size, and hydrophobicity. …”
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Investigating the functional and structural effect of non-synonymous single nucleotide polymorphisms in the cytotoxic T-lymphocyte antigen-4 gene: An in-silico study. by Md Mostafa Kamal, Kazi Fahmida Haque Shantanu, Shamiha Tabassum Teeya, Md Motiar Rahman, A K M Munzurul Hasan, Douglas P Chivers, Tanveer A Wani, Atekah Hazzaa Alshammari, Mahesh Rachamalla, Francisco Carlos da Silva Junior, Md Munnaf Hossen

“…From upstream analysis, rs138279736, rs201778935, rs369567630, and rs376038796 were found to be deleterious, probably damaging, and disease associated. ConSurf predicted conservation scores for four nsSNPs, and Project Hope suggested that all mutations could disrupt protein interactions. …”
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Molecular Detection and Phylogenetic Analysis of the alkB Gene in Klebsiella oxytoca Strains Isolated from the Gut of Tenebrio molitor by Tsitsi Lynn Mupamhadzi, Oleen Machona, Farisai Chidzwondo, Rumbidzai Mangoyi

“…TCOFFE online tool was used to align the alkB sequences of the bacteria, while Jalview and ConSurf were used to view the alignment. The amplified alkB gene was then sequenced using the Sanger sequencing technique, blasted on NCBI to look for similar sequences, and a phylogenetic tree was constructed. …”
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Physical and motivational effects of Exergames in healthy adults-A scoping review. by Katrin Hoffmann, Josef Wiemeyer, Anna Lisa Martin-Niedecken

“…A systematic literature search was performed in EBSCOhost, WoS CC, SURF, and Science Research for studies meeting the following criteria: a) randomized controlled trials with Exergames compared to conventional training and/ or no treatment; b) healthy adults (age: 18 to 64 years); c) Exergame training interventions; d) assessment of pre-post differences, primary outcomes: endurance, strength, flexibility, speed, balance, sensorimotor coordination, sports skills, player experience; secondary outcomes: adverse events, physical activity level, attitudes, and knowledge. …”
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Effect of 3D Printing Orientation on the Accuracy and Surface Roughness of Polycarbonate Samples by Paweł Turek, Anna Bazan, Marcin Bulicz

“…Surface roughness was analyzed using a MarSurf XR profilometer, measuring <i>Ra</i> and <i>Rz</i> parameters. …”
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Systematic review on badminton injuries: incidence, characteristics and risk factors by Lars Donath, Oliver Faude, Anne Hecksteden, Brid Stepper, Hendrik Stagge

“…This review aims to identify relevant injury risk characteristics and factors that facilitate developing and implementing badminton-specific injury prevention programmes.Design This systematic review of badminton injuries assessed the risk of bias, injury incidence, mechanism, location, type, severity, and risk factors.Data sources PubMed, WoS, SURF, EBSCO, Ovid and SPORTDiscus.Eligibility criteria Only English or German peer-reviewed articles presenting epidemiological data. …”
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Cross‐ethnicity face anti‐spoofing recognition challenge: A review by Ajian Liu, Xuan Li, Jun Wan, Yanyan Liang, Sergio Escalera, Hugo Jair Escalante, Meysam Madadi, Yi Jin, Zhuoyuan Wu, Xiaogang Yu, Zichang Tan, Qi Yuan, Ruikun Yang, Benjia Zhou, Guodong Guo, Stan Z. Li

“…Recently, a multi‐ethnic face anti‐spoofing dataset, CASIA‐SURF cross‐ethnicity face anti‐spoofing (CeFA), has been released with the goal of measuring the ethnic bias. …”
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