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Journal articles on the topic 'Hyper-Fusion'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Chen, Zhi, Yongzhao Du, Jianhua Deng, Jiafu Zhuang, and Peizhong Liu. "Adaptive Hyper-Feature Fusion for Visual Tracking." IEEE Access 8 (2020): 68711–24. http://dx.doi.org/10.1109/access.2020.2986157.

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2

Rubinder, K., B. S. Chadha, S. Singh, and H. S. Saini. "Amylase hyper-producing haploid recombinant strains of Thermomyces lanuginosus obtained by intraspecific protoplast fusion." Canadian Journal of Microbiology 46, no. 7 (2000): 669–73. http://dx.doi.org/10.1139/w00-042.

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Amylase hyper-producing, catabolite-repression-resistant, recombinant strains were produced by intraspecific protoplast fusion of thermophilic fungus Thermomyces lanuginosus strains, using well-characterized, morphological, and 2-deoxy-D-glucose resistant markers. The fusant heterokaryons exhibited enhanced amylase activities as compared to the amylase hyper-producing parental strain (T2). Diploids derived from heterokaryons segregated to stable haploid recombinant strains. In the haploid strain (Tlh 4q), approximately 5-fold higher specific activities of α-amylase and glucoamylase in the cult

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3

Alshmrani, Goram Mufarah, Qiang Ni, Richard Jiang, and Nada Muhammed. "Hyper-Dense_Lung_Seg: Multimodal-Fusion-Based Modified U-Net for Lung Tumour Segmentation Using Multimodality of CT-PET Scans." Diagnostics 13, no. 22 (2023): 3481. http://dx.doi.org/10.3390/diagnostics13223481.

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The majority of cancer-related deaths globally are due to lung cancer, which also has the second-highest mortality rate. The segmentation of lung tumours, treatment evaluation, and tumour stage classification have become significantly more accessible with the advent of PET/CT scans. With the advent of PET/CT scans, it is possible to obtain both functioning and anatomic data during a single examination. However, integrating images from different modalities can indeed be time-consuming for medical professionals and remains a challenging task. This challenge arises from several factors, including

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4

Peters, Malte, Guido Blinn, Fian Solem, Martina Fischer, Karl-Hermann Meyer zum Büschenfelde, and Stefan Rose-John. "In Vivo and In Vitro Activities of the gp130-Stimulating Designer Cytokine Hyper-IL-6." Journal of Immunology 161, no. 7 (1998): 3575–81. http://dx.doi.org/10.4049/jimmunol.161.7.3575.

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Abstract IL-6 is a multifactorial cytokine mediating acute inflammatory responses in the liver. When IL-6 binds to a specific receptor (IL-6R), the IL-6/IL-6R complex associates with the signal transducer gp130, initiating intracellular signaling. A soluble form of the IL-6R (sIL-6R) renders target cells sensitive to IL-6 that do not express the IL-6R on their surfaces. A designer cytokine, termed Hyper-IL-6, consisting of IL-6 covalently linked to the sIL-6R was fully active on gp130-expressing cells at 100- to 1000-fold lower concentrations than unlinked IL-6 and IL-6R. Mice were injected i.

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Rizwan, Muhammad, Sana Shahab, Akhlaq Ahmad Bhatti, Muhammad Javaid, and Mohd Anjum. "On the Hyper Zagreb Index of Trees with a Specified Degree of Vertices." Symmetry 15, no. 7 (2023): 1295. http://dx.doi.org/10.3390/sym15071295.

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Topological indices are the numerical descriptors that correspond to some certain physicochemical properties of a chemical compound such as the boiling point, acentric factor, enthalpy of vaporisation, heat of fusion, etc. Among these topological indices, the Hyper Zagreb index, is the most effectively used topological index to predict the acentric factor of some octane isomers. In the current work, we investigate the extremal values of the Hyper Zagreb index for some classes of trees.

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Bi, Lei, Michael Fulham, and Jinman Kim. "Hyper-fusion network for semi-automatic segmentation of skin lesions." Medical Image Analysis 76 (February 2022): 102334. http://dx.doi.org/10.1016/j.media.2021.102334.

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Shu, Shibin, Tianyuan Zhang, Wenting Jing, et al. "Hyper-Selective Posterior Fusion in Lenke 5C Adolescent Idiopathic Scoliosis." Spine 45, no. 18 (2020): 1269–76. http://dx.doi.org/10.1097/brs.0000000000003513.

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8

Narasimha Raju, Akella S., Kayalvizhi Jayavel, and Thulasi Rajalakshmi. "Dexterous Identification of Carcinoma through ColoRectalCADx with Dichotomous Fusion CNN and UNet Semantic Segmentation." Computational Intelligence and Neuroscience 2022 (October 10, 2022): 1–29. http://dx.doi.org/10.1155/2022/4325412.

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Human colorectal disorders in the digestive tract are recognized by reference colonoscopy. The current system recognizes cancer through a three-stage system that utilizes two sets of colonoscopy data. However, identifying polyps by visualization has not been addressed. The proposed system is a five-stage system called ColoRectalCADx, which provides three publicly accessible datasets as input data for cancer detection. The three main datasets are CVC Clinic DB, Kvasir2, and Hyper Kvasir. After the image preprocessing stages, system experiments were performed with the seven prominent convolution

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Gaiyun, Zhou, Zhang Guoping, Chang Cunhong, and Ma Li. "Multi Feature Information Fusion Target Image Recognition Based on Hyper Plane Fusion of Learning Prototype." International Journal of Signal Processing, Image Processing and Pattern Recognition 9, no. 12 (2016): 103–12. http://dx.doi.org/10.14257/ijsip.2016.9.12.11.

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10

Aguilar, Hector C., Vanessa Aspericueta, Lindsey R. Robinson, Karen E. Aanensen, and Benhur Lee. "A Quantitative and Kinetic Fusion Protein-Triggering Assay Can Discern Distinct Steps in the Nipah Virus Membrane Fusion Cascade." Journal of Virology 84, no. 16 (2010): 8033–41. http://dx.doi.org/10.1128/jvi.00469-10.

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ABSTRACT The deadly paramyxovirus Nipah virus (NiV) contains a fusion glycoprotein (F) with canonical structural and functional features common to its class. Receptor binding to the NiV attachment glycoprotein (G) triggers F to undergo a two-phase conformational cascade: the first phase progresses from a metastable prefusion state to a prehairpin intermediate (PHI), while the second phase is marked by transition from the PHI to the six-helix-bundle hairpin. The PHI can be captured with peptides that mimic F's heptad repeat regions, and here we utilized a NiV heptad repeat peptide to quantify P

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Pila-Castellanos, Irene, Diana Molino, Joe McKellar, et al. "Mitochondrial morphodynamics alteration induced by influenza virus infection as a new antiviral strategy." PLOS Pathogens 17, no. 2 (2021): e1009340. http://dx.doi.org/10.1371/journal.ppat.1009340.

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Influenza virus infections are major public health threats due to their high rates of morbidity and mortality. Upon influenza virus entry, host cells experience modifications of endomembranes, including those used for virus trafficking and replication. Here we report that influenza virus infection modifies mitochondrial morphodynamics by promoting mitochondria elongation and altering endoplasmic reticulum-mitochondria tethering in host cells. Expression of the viral RNA recapitulates these modifications inside cells. Virus induced mitochondria hyper-elongation was promoted by fission associate

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12

Moustakidis, Charalampos. "Investigating the possible existence of hyper-heavy nuclei in a neutron-star environment." HNPS Advances in Nuclear Physics 29 (May 3, 2023): 79–86. http://dx.doi.org/10.12681/hnpsanp.5080.

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The synthesis of hyper-heavy elements is investigated under conditions simulating neutron star environment. The constrained molecular dynamics approach is used to simulate low energy collisions of extremely n-rich nuclei. A new type of the fusion barrier due to a “neutron wind” is observed when the effect of neutron star environment (screening of Coulomb interaction) is introduced implicitly. When introducing also a background of surrounding nuclei, the nuclear fusion becomes possible down to temperatures of 108 K and synthesis of extremely heavy and n-rich nuclei appears feasible. A possible

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13

Zhang, Pingping, Wei Liu, Yinjie Lei, and Huchuan Lu. "Hyperfusion-Net: Hyper-densely reflective feature fusion for salient object detection." Pattern Recognition 93 (September 2019): 521–33. http://dx.doi.org/10.1016/j.patcog.2019.05.012.

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14

Pande, H., Poonam S. Tiwari, and Shashi Dobhal. "Analyzing hyper-spectral and multi-spectral data fusion in spectral domain." Journal of the Indian Society of Remote Sensing 37, no. 3 (2009): 395–408. http://dx.doi.org/10.1007/s12524-009-0038-2.

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15

Huang, Rui, and Li Na Zhou. "Classification of Hyperspectral Data Based on Semi-Supervised Tri-Training Learning Framework." Key Engineering Materials 500 (January 2012): 374–82. http://dx.doi.org/10.4028/www.scientific.net/kem.500.374.

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A semi-supervised learning framework based on the tri-training scheme is proposed for the classification of hyper spectral data. The framework involves two stages: multiple classifier learning by the improved tri-training and integrating the outputs of classifiers to the final hypothesis by decision fusion. To settle the ill-posed classification problem, in the stage of classifier learning, the label confidence of each learner is measured by the improved estimation of classifier error, and self-training is introduced to expand the labeled set using unlabeled samples with confident labels assig

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Wang, Chaofeng, Li Wei, Zhaohui Wang, Min Song, and Nina Mahmoudian. "Reinforcement Learning-Based Multi-AUV Adaptive Trajectory Planning for Under-Ice Field Estimation." Sensors 18, no. 11 (2018): 3859. http://dx.doi.org/10.3390/s18113859.

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This work studies online learning-based trajectory planning for multiple autonomous underwater vehicles (AUVs) to estimate a water parameter field of interest in the under-ice environment. A centralized system is considered, where several fixed access points on the ice layer are introduced as gateways for communications between the AUVs and a remote data fusion center. We model the water parameter field of interest as a Gaussian process with unknown hyper-parameters. The AUV trajectories for sampling are determined on an epoch-by-epoch basis. At the end of each epoch, the access points relay t

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Kim, Kee D., Cynthia A. Batchelder, Plamena Koleva, et al. "In Vivo Performance of a Novel Hyper-Crosslinked Carbohydrate Polymer Bone Graft Substitute for Spinal Fusion." Bioengineering 12, no. 3 (2025): 243. https://doi.org/10.3390/bioengineering12030243.

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Bone graft materials are essential for achieving arthrodesis after spine surgery. Safe bone graft products, with osteoinductive, osteoconductive properties and the ability to monitor fusion in real-time, are highly desirable. A novel hyper-crosslinked carbohydrate polymer (HCCP) bone graft substitute was shown to aid in bone regeneration in critical-size defect studies in a rabbit model. These studies further evaluated the in vivo application of HCCP as a bone graft substitute in an ovine model of spinal fusion and a retrospective study in adult human spine surgery patients. Sheep studies demo

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18

Zou, Zhurong, Yunliu Fan, and Chunyi Zhang. "Preventing protein aggregation by its hyper-acidic fusion cognates in Escherichia coli." Protein Expression and Purification 80, no. 1 (2011): 138–44. http://dx.doi.org/10.1016/j.pep.2011.06.004.

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19

Zhang, Pei, Siwei Wang, Liang Li, et al. "Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 9 (2023): 11262–69. http://dx.doi.org/10.1609/aaai.v37i9.26333.

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In the past few years, numerous multi-view graph clustering algorithms have been proposed to enhance the clustering performance by exploring information from multiple views. Despite the superior performance, the high time and space expenditures limit their scalability. Accordingly, anchor graph learning has been introduced to alleviate the computational complexity. However, existing approaches can be further improved by the following considerations: (i) Existing anchor-based methods share the same number of anchors across views. This strategy violates the diversity and flexibility of multi-vie

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20

Michael A, Scarpone, and Lee Charles C. "Bridging and Repair of First Metatarsal Fracture with Chronic Pseudoarthrosis Following Multiple Surgical Interventions Using a Minimally Invasive Approach." Open Journal of Orthopedics and Rheumatology 10, no. 1 (2025): 001–4. https://doi.org/10.17352/ojor.000050.

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Metatarsal fractures are a common type of injury to the foot and can result in chronic pain and disability if the fracture site fails to fuse after a series of bone fusion procedures with or without instrumentation, resulting in pseudarthrosis, which may ultimately require amputation. A 58-year-old male patient without any known risk factors presented with pseudarthrosis and chronic pain in the right foot after 4 failed bone fusion procedures on the first metatarsal bone where amputation was considered. The Hyper-Crosslinked Carbohydrate Polymer (HCCP) was injected with autologous bone marrow

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21

Zhang, Canting, Xicun Zhu, Meixuan Li, et al. "Utilization of the Fusion of Ground-Space Remote Sensing Data for Canopy Nitrogen Content Inversion in Apple Orchards." Horticulturae 9, no. 10 (2023): 1085. http://dx.doi.org/10.3390/horticulturae9101085.

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Utilizing multi-source remote sensing data fusion to achieve efficient and accurate monitoring of crop nitrogen content is crucial for precise crop management. In this study, an effective integrated method for inverting nitrogen content in apple orchard canopies was proposed based on the fusion of ground-space remote sensing data. Firstly, ground hyper-spectral data, unmanned aerial vehicles (UAVs) multi-spectral data, and apple leaf samples were collected from the apple tree canopy. Secondly, the canopy spectral information was extracted, and the hyper-spectral and UAV multi-spectral data wer

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22

sri, S. Saranya, and S. N. Santhac S.N Santhalakshmi. "Fusion of Hyper spectral and Multispectral Images using Non-Subsampled Contourlet Transform Domains." International Journal of Computer Trends and Technology 47, no. 1 (2017): 61–67. http://dx.doi.org/10.14445/22312803/ijctt-v47p107.

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23

Mao, Yi, Haowei Zhang, Rui Li, Feng Zhu, Rui Sun, and Pingping Ji. "HSF-DETR: Hyper Scale Fusion Detection Transformer for Multi-Perspective UAV Object Detection." Remote Sensing 17, no. 12 (2025): 1997. https://doi.org/10.3390/rs17121997.

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Unmanned aerial vehicle (UAV) imagery detection faces challenges in preserving small object features during multi-level downsampling, handling angle and altitude-dependent variations in aerial scenes, achieving accurate localization in dense environments, and performing real-time detection. To address these limitations, we propose HSF-DETR, a lightweight transformer-based detector specifically designed for UAV imagery. First, we design a hybrid progressive fusion network (HPFNet) as the backbone, which adaptively modulates receptive fields to capture multi-scale information while preserving fi

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Seidel, Thorsten, Philipp Johannes Artmann, Ioannis Gkekas, Franziska Illies, Anna-Lena Baack, and Martina Viefhues. "Microfluidic Single-Cell Study on Arabidopsis thaliana Protoplast Fusion—New Insights on Timescales and Reversibilities." Plants 13, no. 2 (2024): 295. http://dx.doi.org/10.3390/plants13020295.

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Plant cells are omnipotent and breeding of new varieties can be achieved by protoplast fusion. Such fusions can be achieved by treatment with poly(ethylene glycol) or by applying an electric field. Microfluidic devices allow for controlled conditions and targeted manipulation of small batches of cells down to single-cell analysis. To provide controlled conditions for protoplast fusions and achieve high reproducibility, we developed and characterized a microfluidic device to reliably trap some Arabidopsis thaliana protoplasts and induced cell fusion by controlled addition of poly(ethylene glyco

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25

PAHLAVANI, M. R., M. SADEGHI, S. M. MOTEVALLI та Y. AQABAEI. "STUDY OF CHARGE-ASYMMETRIC 3Heμd MOLECULE IN HYPER-SPHERICAL ELLIPTIC COORDINATE SYSTEM". Modern Physics Letters A 25, № 05 (2010): 389–98. http://dx.doi.org/10.1142/s0217732310031518.

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Study of Coulombian three-body system is a basic phenomenon in muon catalyzed fusion (μCF). In this investigation, separation of variables in the base of adiabatic expansion, have been applied to the mesic three-body molecule, 3 He μd using hyper-spherical elliptic coordinate system. The corresponding eigenvalue problem has been solved and the adiabatic potential and the binding energy of this system are calculated. The obtained results agreed with the expected values of various theoretical methods.

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Mukherjee, Sayantan, Shikha Ebrahim, Purna Chandra Mishra, Naser Ali, and Paritosh Chaudhuri. "A Review on Pool and Flow Boiling Enhancement Using Nanofluids: Nuclear Reactor Application." Processes 10, no. 1 (2022): 177. http://dx.doi.org/10.3390/pr10010177.

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Plasma-facing components (PFCs) are used as the barrier to the beam of high heat flux generated due to nuclear fusion. Therefore, efficient cooling of PFCs is required for safety and smooth operation of a fusion reactor. The Hyper Vapotron (HV) is generally used as the heat exchanger to cool down the PFCs during operation. These heat exchangers use pool and flow boiling mechanisms, and hence, their ability is inherently constrained by critical heat flux (CHF). The boiling of nanofluid is very promising as the working fluid in the HV. The efficiency of the HV increases due to the increase in CH

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Chen Shan-Jing, Hu Yi-Hua, Sun Du-Juan, and Xu Shi-Long. "A simulation method by air and space integrated fusion based on hyper-/multispectral imagery." Acta Physica Sinica 62, no. 20 (2013): 204201. http://dx.doi.org/10.7498/aps.62.204201.

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Viesti, G., M. Lunardon, D. Bazzacco, et al. "The population of super- and hyper-deformed structures as a probe for fusion dynamics." Acta Physica Hungarica A) Heavy Ion Physics 2, no. 3-4 (1995): 255–68. http://dx.doi.org/10.1007/bf03055111.

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29

Alparone, Luciano, Andrea Garzelli, and Claudia Zoppetti. "Fusion of VNIR Optical and C-Band Polarimetric SAR Satellite Data for Accurate Detection of Temporal Changes in Vegetated Areas." Remote Sensing 15, no. 3 (2023): 638. http://dx.doi.org/10.3390/rs15030638.

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In this paper, we propose a processing chain jointly employing Sentinel-1 and Sentinel-2 data, aiming to monitor changes in the status of the vegetation cover by integrating the four 10 m visible and near-infrared (VNIR) bands with the three red-edge (RE) bands of Sentinel-2. The latter approximately span the gap between red and NIR bands (700 nm–800 nm), with bandwidths of 15/20 nm and 20 m pixel spacing. The RE bands are sharpened to 10 m, following the hyper-sharpening protocol, which holds, unlike pansharpening, when the sharpening band is not unique. The resulting 10 m fusion product may

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Song, Shiran, Jianhua Liu, Heng Pu, Yuan Liu, and Jingyan Luo. "The Comparison of Fusion Methods for HSRRSI Considering the Effectiveness of Land Cover (Features) Object Recognition Based on Deep Learning." Remote Sensing 11, no. 12 (2019): 1435. http://dx.doi.org/10.3390/rs11121435.

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The efficient and accurate application of deep learning in the remote sensing field largely depends on the pre-processing technology of remote sensing images. Particularly, image fusion is the essential way to achieve the complementarity of the panchromatic band and multispectral bands in high spatial resolution remote sensing images. In this paper, we not only pay attention to the visual effect of fused images, but also focus on the subsequent application effectiveness of information extraction and feature recognition based on fused images. Based on the WorldView-3 images of Tongzhou District

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Li, Jun, and Hai Bo Pu. "A Recognition Method Using SA Optimized SVM-DS." Applied Mechanics and Materials 182-183 (June 2012): 798–804. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.798.

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Through properly setting the simulated annealing options of acceptance function, annealing function and temperature function, an adaptive hyper-parameter estimation method using simulated annealing algorithm is applied to improve the accuracy and efficiency of SVM. While, in order to eliminate the effects of error accumulation in multi-SVM, D-S theory is employed for decision fusion of SVM classifiers. When delimiting the belief and plausibility measures, recognition capability of SVM classifiers has been taken into account. And the Dempster decision rule also has been considered to the recogn

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Moune, Michèle Yolande, Christine Milena Sayore, Mustapha Hemama, Nizare El Fatemi, and Moulay-Rachid El Maaqili. "Surgical management of a thoracic chordoma: A case report and literature review." Surgical Neurology International 13 (February 18, 2022): 63. http://dx.doi.org/10.25259/sni_1227_2021.

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Background: Chordomas are rare benign, but locally aggressive tumors that are regularly encountered in the clivus and sacrum. Although they are rarely found in the thoracic spine, they can contribute not only to local bone destruction and spinal instability, lead to cord compression, and major neurological deficits. Case Description: A 56 year-old-male originally underwent a T12 laminectomy with debulking for a thoracic chordoma. Two years later, the lesion recurred contributing to a significant paraparesis. The new MR showed a T2 hyper intense lesion with huge epidural extension that warrante

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Shibao, Yosuke, Masao Koda, Tetsuya Abe, et al. "Accidental anterior longitudinal ligament rupture during lateral lumbar interbody fusion disclosed after posterior corrective fusion surgery resulting in local hyper-lordosis." Journal of Rural Medicine 16, no. 2 (2021): 111–14. http://dx.doi.org/10.2185/jrm.2020-057.

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34

Jiang, Gaoxia, Jia Zhang, Xuefei Bai, Wenjian Wang, and Deyu Meng. "Which Is More Effective in Label Noise Cleaning, Correction or Filtering?" Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 11 (2024): 12866–73. http://dx.doi.org/10.1609/aaai.v38i11.29183.

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Most noise cleaning methods adopt one of the correction and filtering modes to build robust models. However, their effectiveness, applicability, and hyper-parameter insensitivity have not been carefully studied. We compare the two cleaning modes via a rebuilt error bound in noisy environments. At the dataset level, Theorem 5 implies that correction is more effective than filtering when the cleaned datasets have close noise rates. At the sample level, Theorem 6 indicates that confident label noises (large noise probabilities) are more suitable to be corrected, and unconfident noises (medium noi

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Dutta, Dipanjan, Tamesh Halder, Abhishek Penchala, Kandukoori Vamshi Krishna, Grajula Prashnath, and Debashish Chakravarty. "A Case Study on Image Co-Registration of Hyper Spectral and Dual (L & S) Band SAR Data and Ore Findings Over Zewar Mines, India." International Journal of Emerging Science and Engineering 12, no. 6 (2024): 17–25. http://dx.doi.org/10.35940/ijese.a8055.12060524.

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The technique of superimposing two or more photographs in a way that ensures that for each image, the same pixel corresponds to the same location of the target scene is known as image coregistration It is a crucial stage in the picture enhancement process for satellite images. Different frequency bands store feature. Image fusion makes it possible to superimpose co-registered pictures taken by several sensors to get a superior image incorporating elements from both sources. On many match patches that are evenly dispersed over the two scenes, we estimate pixel offsets between possibly coherent

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Tamesh, Halder. "A Case Study on Image Co-Registration of Hyper-Spectral and Dual (L & S) Band SAR Data and Ore Findings Over Zewar Mines, India." International Journal of Emerging Science and Engineering (IJESE) 12, no. 6 (2024): 17–25. https://doi.org/10.35940/ijese.A8055.12060524.

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<strong>Abstract: </strong>The technique of superimposing two or more photographs in a way that ensures that for each image, the same pixel corresponds to the same location of the target scene is known as image coregistration It is a crucial stage in the picture enhancement process for satellite images. Different frequency bands store feature. Image fusion makes it possible to superimpose co-registered pictures taken by several sensors to get a superior image incorporating elements from both sources. On many match patches that are evenly dispersed over the two scenes, we estimate pixel offsets

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37

Ogbuanya, Chisom Ezinne, Adaora Obayi, Souad Larabi-Marie-Sainte, Amal O. Saad, and Lamia Berriche. "A hybrid optimization approach for accelerated multimodal medical image fusion." PLOS One 20, no. 7 (2025): e0324973. https://doi.org/10.1371/journal.pone.0324973.

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Multimodal Medical Image Fusion is a key evolution in medical imaging. It contributes to improving diagnosis, providing better treatment, and reducing risk. Multimodal medical image fusion is a multi-objective due to the need of balancing factors like the weights of the fusion rules and the speed of the fusion process. While multi-objective particle swarm optimization has already been applied to solve this problem, it suffers from premature. It has been shown that the Darwinian Particle Swarm Optimization performs better than the classical Particle Swarm optimization by escaping the local opti

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El-Khamy, Said E., and Amira G. Mohamed. "An efficient DNA-inspired image encryption algorithm based on hyper-chaotic maps and wavelet fusion." Multimedia Tools and Applications 80, no. 15 (2021): 23319–35. http://dx.doi.org/10.1007/s11042-021-10527-6.

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Bae, Sung Min, Hee Jung Kim, Jun Beom Lee, et al. "Hyper-Enhanced Production of Foreign Recombinant Protein by Fusion with the Partial Polyhedrin of Nucleopolyhedrovirus." PLoS ONE 8, no. 4 (2013): e60835. http://dx.doi.org/10.1371/journal.pone.0060835.

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Dong, Xiaoxin, Hua Ding, Dawei Gao, Guangyu Zheng, Jiaxuan Wang, and Qifa Lang. "Multi-source fault data fusion diagnosis method based on hyper-feature space graph collaborative embedding." Advanced Engineering Informatics 64 (March 2025): 103092. https://doi.org/10.1016/j.aei.2024.103092.

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Zhang, Qiang, Ling Guo, and Xiaopeng Wei. "A novel image fusion encryption algorithm based on DNA sequence operation and hyper-chaotic system." Optik - International Journal for Light and Electron Optics 124, no. 18 (2013): 3596–600. http://dx.doi.org/10.1016/j.ijleo.2012.11.018.

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Gupta, Gourav, Kiran Raja, Manish Gupta, Tony Jan, Scott Thompson Whiteside, and Mukesh Prasad. "A Comprehensive Review of DeepFake Detection Using Advanced Machine Learning and Fusion Methods." Electronics 13, no. 1 (2023): 95. http://dx.doi.org/10.3390/electronics13010095.

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Recent advances in Generative Artificial Intelligence (AI) have increased the possibility of generating hyper-realistic DeepFake videos or images to cause serious harm to vulnerable children, individuals, and society at large with misinformation. To overcome this serious problem, many researchers have attempted to detect DeepFakes using advanced machine learning techniques and advanced fusion techniques. This paper presents a detailed review of past and present DeepFake detection methods with a particular focus on media-modality fusion and machine learning. This paper also provides detailed in

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Cazzaniga, Valeria, Marco Giordan, Cristina Bugarin, et al. "PAX5 Fusion Genes Activate The STAT5 Signaling Pathway Through Lck Over-Expression." Blood 122, no. 21 (2013): 3738. http://dx.doi.org/10.1182/blood.v122.21.3738.3738.

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Abstract PAX5 is a transcription factor acting both as an activator and a repressor, known to be frequently altered (30% of the cases) in B Cell Precursor Leukemia (BCP-ALL). PAX5 aberrations include point mutations, deletions, amplifications and translocations with several partner genes. All the originated fusion genes retain the PAX5 DNA binding domain but acquire the regulatory regions of the partner gene, showing a dominant negative mechanism on endogenous PAX5. However, the function of PAX5 fusion proteins and their common mechanisms of leukemogenesis are poorly understood. We have establ

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Saleh, Mohammed Ali, Mohamed Abdouh, and Mohamed K. Ramadan. "A Novel Method for Improving Baggage Classification Using a Hyper Model of Fusion of DenseNet-161 and EfficientNet-B5." Big Data and Cognitive Computing 8, no. 10 (2024): 135. http://dx.doi.org/10.3390/bdcc8100135.

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In response to rising concerns over crime rates, there has been an increasing demand for automated video surveillance systems that are capable of detecting human activities involving carried objects. This paper proposes a hyper-model ensemble to classify humans carrying baggage based on the type of bags they are carrying. The Fastai framework is leveraged for its computational prowess, user-friendly workflow, and effective data-cleansing capabilities. The PETA dataset is utilized and automatically re-annotated into five classes based on the baggage type, including Carrying Backpack, Carrying L

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Salau, Ayodeji Olalekan, Shruti Jain, and Joy Nnenna Eneh. "A review of various image fusion types and transforms." Indonesian Journal of Electrical Engineering and Computer Science 24, no. 3 (2021): 1515–22. https://doi.org/10.11591/ijeecs.v24.i3.pp1515-1522.

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Utilizing multiple views of an image is an important approach in digital photography, video editing, and medical image fusion applications. Image fusion (ImF) methods are used to improve an image's quality and remove noise from the image signal, resulting in a higher signal-to-noise ratio. A complete assessment of the literature on the different transform kinds, techniques, and rules utilized in ImF is presented in this paper. To assess the outcomes, a white flower image was fused using discrete wavelet transform (DWT) and discrete cosine transform (DCT) techniques. For validation of resul

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Chen, Shanjing, Wenjuan Zhang, Zhen Li, Yuxi Wang, and Bing Zhang. "Cloud Removal with SAR-Optical Data Fusion and Graph-Based Feature Aggregation Network." Remote Sensing 14, no. 14 (2022): 3374. http://dx.doi.org/10.3390/rs14143374.

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In observations of Earth, the existence of clouds affects the quality and usability of optical remote sensing images in practical applications. Many cloud removal methods have been proposed to solve this issue. Among these methods, synthetic aperture radar (SAR)-based methods have more potential than others because SAR imaging is hardly affected by clouds, and can reflect ground information differences and changes. While SAR images used as auxiliary information for cloud removal may be blurred and noisy, the similar non-local information of spectral and electromagnetic features cannot be effec

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Li, Xingzheng, Bingwen Feng, Guofeng Li, Tong Li, and Mingjin He. "A Vulnerability Detection System Based on Fusion of Assembly Code and Source Code." Security and Communication Networks 2021 (July 29, 2021): 1–11. http://dx.doi.org/10.1155/2021/9997641.

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Software vulnerabilities are one of the important reasons for network intrusion. It is vital to detect and fix vulnerabilities in a timely manner. Existing vulnerability detection methods usually rely on single code models, which may miss some vulnerabilities. This paper implements a vulnerability detection system by combining source code and assembly code models. First, code slices are extracted from the source code and assembly code. Second, these slices are aligned by the proposed code alignment algorithm. Third, aligned code slices are converted into vector and input into a hyper fusion-ba

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Jostock, Thomas, Guido Blinn, Christoph Renné, Karl-Josef Kallen, Stefan Rose-John, and Jürgen Müllberg. "Immunoadhesins of interleukin-6 and the IL-6/soluble IL-6R fusion protein hyper-IL-6." Journal of Immunological Methods 223, no. 2 (1999): 171–83. http://dx.doi.org/10.1016/s0022-1759(98)00218-x.

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Jeon, Sangho, Michael P. Sansoucie, and Douglas M. Matson. "Hyper-cooling limit, heat of fusion, and temperature-dependent specific heat of Fe-Cr-Ni melts." Journal of Chemical Thermodynamics 138 (November 2019): 51–58. http://dx.doi.org/10.1016/j.jct.2019.06.001.

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Zhang, Yushu, Wenying Wen, Moting Su, and Ming Li. "Cryptanalyzing a novel image fusion encryption algorithm based on DNA sequence operation and hyper-chaotic system." Optik 125, no. 4 (2014): 1562–64. http://dx.doi.org/10.1016/j.ijleo.2013.09.018.

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