Vision-Based Underwater Docking Guidance and Positioning: Enhancing Detection with YOLO-D by Tian Ni, Can Sima, Wenzhong Zhang, Junlin Wang, Jia Guo, Lindan Zhang

“…It integrated the Context Aggregation Network (CONTAINER) to enhance small-target detection and overall image accuracy, while the bidirectional feature pyramid network (BiFPN) facilitated effective cross-scale feature fusion, improving detection precision for multi-scale and fuzzy targets. …”
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FBATCNet: A Temporal Convolutional Network With Frequency Band Attention for Decoding Motor Imagery EEG by Shuaishuai Ma, Jidong Lv, Wenjie Li, Yan Liu, Ling Zou, Yakang Dai

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Zoological exhibitions in natural history museums: classic design and modern approach by Igor Evstafiev

“…Classic diorama displays are three-dimensional images, with a combination of natural objects and artworks depicting a natural setting. …”
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Effect of probiotic-fermented milk containing Lactiplantibacillus pentoses strain HBUAS 53657 on serum glutathione peroxidase activity and pancreatic histopathology in hyperglycemi... by Rita Yaswir, Eti Yerizel, Netti Suharti, Cimi Ilmiawati

“…Serum GPx activity was assessed via spectrophotometry, Langerhans islet area was measured using ImageJ, and islet damage was evaluated using the Ningrum Score. …”
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Forecasting yield and market classes of Vidalia sweet onions: A UAV-based multispectral and texture data-driven approach by Marcelo Rodrigues Barbosa Júnior, Lucas de Azevedo Sales, Regimar Garcia dos Santos, Rônega Boa Sorte Vargas, Chris Tyson, Luan Pereira de Oliveira

“…Multispectral images were captured from two fields on six dates (90, 75, 60, 45, 30, and 15 days before harvest—DBH). …”
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Older people at risk in times of pandemic? A qualitative study of coping narratives that support resilience in older people by Lucía Pérez Sánchez, Beatriz Guadalupe Maza Pérez, Guiana Fernández De Lara López

“…The above exposes the political scenario of COVID-19 for the elderly that once again exhibits the image of the elderly as fragile beings, incapable of thinking and deciding for themselves, who must be cloistered and isolated. …”
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Uniaxial Experimental Study of the Deformation Behavior and Energy Evolution of Conjugate Jointed Rock Based on AE and DIC Methods by Jiliang Pan, Xu Wu, Qifeng Guo, Xun Xi, Meifeng Cai

“…At the same time, a 3D digital image correlation (DIC) technique was used to study the evolution of stress field before the peak strength at different loading times. …”
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Practice and Perception of Radiographers on the Positioning Techniques of Erect Lateral Cervical Spine Radiography in Non-trauma Adult Patients by B.S. Weerakoon, I.G.N.N.K. Karunaratne, .M.W.S. Jayasundara

“…Most of them employed the standing breath-holding technique for image acquisition with or without exertion. While 54% of the radiographers utilized two water-filled cans during the weight-bearing technique, 82% used holding arms back with the shoulders down and pulling as low as possible in the non-weight-bearing technique. …”
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Microcrack feature extraction method for chaotic optical surface of silicon nitride ceramic bearing roller based on multi-scale wavelet transform enhancement and optimized PSO-FCM... by Yi Jiang, Mengtao Tang, Wenjie Dong, Guoxing Tang, Weiwen Hu, Jiao Li

“…Through the db4 basis function of multi-scale decomposition of microcrack features, the soft threshold function is constructed to deeply denoise the image. The normalized fusion features of microcracks after multi-scale vector decomposition are enhanced, and the gradient information is enhanced while retaining the microcrack features on the chaotic optical surface. …”
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Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification. by Saleem Mustafa, Arfan Jaffar, Muhammad Rashid, Sheeraz Akram, Sohail Masood Bhatti

“…There is a high probability that ResUNet++, which is highly proficient at medical image segmentation, can produce better segmentation of lesions than the simpler models. …”
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Computed Tomographic Tenography of Normal Equine Digital Flexor Tendon Sheath: An Ex Vivo Study by Luca Lacitignola, Pasquale De Luca, Alessandro Guarracino, Antonio Crovace

“…Single-slice helical scans, with 5 mm thickness, spaced every 3 mm, for a pitch of 0.6, and with bone algorithm reconstruction, were performed before and after injections of contrast medium. To obtain better image quality for multiplanar reconstruction and 3D reformatting, postprocessing retroreconstruction was performed to reduce the images to submillimetre thickness. …”
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A DIC Based Technique to Measure the Contraction of a Skeletal Muscle Engineered Tissue by Emanuele Rizzuto, Silvia Carosio, Martina Faraldi, Simona Pisu, Antonio Musarò, Zaccaria Del Prete

“…Here we propose the application of digital image correlation (DIC) as an independent tool for an accurate and noninvasive measurement of engineered muscle tissue spontaneous contraction. …”
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Face Recognition Method for Underground Engineering Based on Dual-Target Domain Adaptation and Discriminative Feature Learning by Yongqiang Yu, Cong Guo, Lidan Fan, Jiyun Zhang, Liwei Yu, Peitao Li

“…The targeting of the algorithm to blurred and NIR images is enhanced through DTDA, while the inter-class feature variability and intra-class feature compactness for domain adaptation face recognition are ensured by DFL. …”
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Effectiveness of Systematic Health Education Model for Type 2 Diabetes Patients by Yongwen Zhang, Lanfang Chu

“…The systematic health education model was based on the following aspects: image education, visitation of the exhibition hall, dissemination of educational materials, individualized medical nutrition therapy and exercise programs, WeChat group and regular health lectures, evaluation of complications, lifestyle modification, systematic treatment scheme, self-monitoring of glycemic control, monthly evaluation of the therapeutic effect, proposed improvement measures, and individualized follow-up scheme. …”
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Restriction Enzyme Analysis of DNA Methylation in “Condensed” Chromatin of Ha-Ras-Transformed NIH 3T3 Cells by Maria Luiza S. Mello, Ann F. Chambers, Benedicto C. Vidal, Wolfgang Planding, Ulrich Schenck

“…The DNA evaluation was performed by video image analysis in Feulgen‐stained cells previously subjected to treatment with Msp I and Hpa II restriction enzymes, which distinguish between methylated and non‐methylated DNA. …”
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Pengaruh Pemberian Mesenchymal Stem Cells Wharton's Jelly terhadap Ekspresi Gen Sirtuin 1 pada Tikus Model Alzheimer by Havina Nurul Aizah, Amel Yanis, Hirowati Ali, Tofrizal Tofrizal, Cimi Ilmiawati, Dessy Arisanty

“…Mean value of the Sirtuin-1 gene was obtained by the Image-J application using a semiquantitative method which was then tested using the One Way ANOVA test. …”
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A Review on Person Re-Identification Techniques and Its Analysis by C. Selvan, H. Anwar Basha, K. Meenakshi, Soumyalatha Naveen

“…Over the past few years, the realm of deep learning applied to video re-ID has consistently delivered remarkable outcomes on public datasets, showcasing a range of innovative strategies devised to tackle the array of issues encountered in video re-ID. In stark contrast to image-based re-ID, video re-ID stands out as significantly more intricate and demanding. …”
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A method for diagnosing the implosion symmetry in inertial confinement fusion with wide-angle VISAR by Wu Yuji, Guan Zanyang, Zhang Qing, Jing Longfei, Ren Kuan, Liang Juxi, Chen Xudan, Li Yulong, Wang Feng

“…The method considers the object-image relationship of the wide-angle VISAR, characteristics of the fringe pattern, and the symmetry theory; the fringe pattern must be continuous in space to apply this method. …”
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Survey on Lie Group Machine Learning by Mei Lu, Fanzhang Li

“…In addition, we introduce the special application of Lie group machine learning in image processing. This work covers the following techniques: Lie group machine learning model, Lie group subspace orbit generation learning, symplectic group learning, quantum group learning, Lie group fiber bundle learning, Lie group cover learning, Lie group deep structure learning, Lie group semisupervised learning, Lie group kernel learning, tensor learning, frame bundle connection learning, spectral estimation learning, Finsler geometric learning, homology boundary learning, category representation learning, and neuromorphic synergy learning. …”
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KGB Struggle with Antisoviet Manifestation in Lithuania and Abroad: People's Discreditation by Kristina Burinskaitė

“…Discreditation of the enemy - creation of their negative image and opinion in the society is one of the means of that fight. …”
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