Adaptive Reduced Dimension Fuzzy Decoupling Control Method with Its Application to a Deployable Antenna Panel by Zhi-yong Liu, Jing-li Du, Hong Bao, Qian Xu

“…An adaptive reduced-dimension fuzzy decoupling (ARDFD) control strategy based on fusion functions is proposed to eliminate the effects uncertainties due to coupled subsystems by designing and incorporating a fuzzy decoupling disturbance observer. …”
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Rupture in long-term vocal recognition of past social partners in bonobos by Sumir Keenan, Nicolas Mathevon, Jeroen Stevens, Jean-Pascal Guéry, Klaus Zuberbühler, Florence Levréro

“…Moreover their fluid fission-fusion society requires contact over long distances, suggesting that vocal signals of group members are recognised individually. …”
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A Deep Neural Network-Based Fault Detection Scheme for Aircraft IMU Sensors by Yiming Zhang, Hang Zhao, Jinyi Ma, Yunmei Zhao, Yiqun Dong, Jianliang Ai

“…This scheme adopts a deep neural network with a CNN-LSTM-fusion architecture (CNN: convolution neural network; LSTM: long short-term memory). …”
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Lightweight defense mechanism against adversarial attacks via adaptive pruning and robust distillation by Bin WANG, Simin LI, Yaguan QIAN, Jun ZHANG, Chaohao LI, Chenming ZHU, Hongfei ZHANG

“…Adversarial training is one of the commonly used defense methods against adversarial attacks, by incorporating adversarial samples into the training process.However, the effectiveness of adversarial training heavily relied on the size of the trained model.Specially, the size of trained models generated by the adversarial training will significantly increase for defending against adversarial attacks.This imposes constraints on the usability of adversarial training, especially in a resource-constraint environment.Thus, how to reduce the model size while ensuring the robustness of the trained model is a challenge.To address the above issues, a lightweight defense mechanism was proposed against adversarial attacks, with adaptive pruning and robust distillation.A hierarchically adaptive pruning method was applied to the model generated by adversarial training in advance.Then the trained model was further compressed by a modified robust distillation method.Experimental results on CIFAR-10 and CIFAR-100 datasets showed that our hierarchically adaptive pruning method presented stronger robustness under various FLOP than the existing pruning methods.Moreover, the fusion of pruning and robust distillation presented higher robustness than the state-of-art robust distillation methods.Therefore, the experimental results prove that the proposed method can improve the usability of the adversarial training in the IoT edge computing environment.…”
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The Treatment of Cleidocranial Dysostosis (Scheuthauer-Marie-Sainton Syndrome), a Rare Form of Skeletal Dysplasia, Accompanied by Spinal Deformities: A Review of the Literature and... by Mehmet Bülent Balioğlu, Deniz Kargın, Akif Albayrak, Yunus Atıcı

“…Lengthening the use of growth-friendly systems (growing rod) in patients, like ours, with an early onset of symptoms, and performing posterior instrumentation and fusion once the spinal growth is complete will yield successful results with no complications in the middle and the long term. …”
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Strip-based deployment with cooperative communication to achieve connectivity and information coverage in wireless sensor networks by Wei Cheng, Xiaolin Lu, Yong Li, Hui Wang, Lei Zhong

“…Finally, some new strategy could be proposed based on the fusion of physical and information coverage to improve strip-based deployment. …”
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Distributed SLAM Using Improved Particle Filter for Mobile Robot Localization by Fujun Pei, Mei Wu, Simin Zhang

“…Second, an information fusion method was proposed by mixing the innovation method and the number of effective particles method, which combined the advantages of these two methods. …”
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mmWave radar based robust sign language recognition for the smart museum by Xuerong ZHAO, Xuan WANG, Tong LIU, Xia ZHENG, Yicheng JIANG

“…A smart museum is a new form of a museum, which uses devices or technologies including the Internet of things (IoT) and artificial intelligence (AI) to build the information interaction channels between people, things, and space.Sign language recognition not only assists the visitors who have hearing or speech impairment to visit the museum without barriers but also helps study the visitors’ natural gesture interaction.However, the methods based on cameras and wearable devices mayhave issues like privacy or usability when applied to museum spaces.Therefore, a robust sign language recognition method based on millimeter-wave radar was proposed.Different features of distance and velocity changes relative to the radar device were firstly extracted in this method, then a physical data enhancement method was adopted to expand the training data.Finally, a ResNet based on the pre-processed distance time features and Doppler time features was designed to further remove the environment-related information and perform feature fusion for classification.Experimental results show that this method can effectively recognize sign language and achieve an averaged recognition accuracy of over 90% when the testing environment and the user＇s location change, providing a new method for smart museum wireless sign language and gesture recognition.…”
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Status of Serpent Monte Carlo code in 2024 by Leppänen Jaakko, Valtavirta Ville, Rintala Antti, Tuominen Riku

“…The neutron and photon transport modes in Serpent enable using the code also for various stand-alone applications beyond reactor physics, such as radiation shielding and fusion neutronics. This paper presents a review of the current status and capabilities of Serpent, corresponding to the latest release 2.2.1. …”
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Mitochondrial base editing: from principle, optimization to application by Jinling Tang, Kunzhao Du

“…DddA-derived cytosine base editors (DdCBEs) have been developed to specifically induce C-to-T conversion in mtDNA by the fusion of sequence-programmable transcription activator-like effector nucleases (TALENs) or zinc-finger nucleases (ZFNs), and split deaminase derived from interbacterial toxins. …”
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3D Yang-Mills confining properties from a non-Abelian ensemble perspective by D. R. Junior, L. E. Oxman, G. M. Simões

“…This field content is required to accommodate fusion rules where N vortices can be created out of the vacuum. …”
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A Low-Cost Model Vehicle Testbed with Accurate Positioning for Autonomous Driving by Benjamin Vedder, Jonny Vinter, Magnus Jonsson

“…The position of the vehicles is derived from sensor fusion between Real-Time Kinematic Satellite Navigation (RTK-SN), odometry, and inertial measurement and performs well within a 10 km radius from a base station. …”
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MYST3/CREBBP Rearranged Acute Myeloid Leukemia after Adjuvant Chemotherapy for Breast Cancer by Arjun Gupta, Mrinal M. Patnaik, Harris V. Naina

“…AML with t (8;16) is a specific translocation leading to formation of a fusion protein (MYST3/CREBBP). The MYST3/CREBBP AML tends to develop within 2 years of adjuvant chemotherapy, especially for breast cancer, without preceding myelodysplasia. …”
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CNN-Trans-SPP: A small Transformer with CNN for stock price prediction by Ying Li, Xiangrong Wang, Yanhui Guo

“…In this paper, we propose a simple yet effective fusion model that leverages the strengths of both transformers and convolutional neural networks (CNNs). …”
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Improved COVID-19 Diagnosis Using a Hybrid Transfer Learning Model with Fuzzy Edge Detection on CT Scan Images by Hassan Salarabadi, Mohammad Saber Iraji, Mehdi Salimi, Mehdi Zoberi

“…In this study, a novel fusion method incorporating dropout, data augmentation, transfer learning, and edge detection using the fuzzy technique was employed, resulting in improved model accuracy and reduced overfitting. …”
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Designing and Evaluating a Dual-Stream Transformer-Based Architecture for Visual Question Answering by Faheem Shehzad, Aniello Minutolo, Massimo Esposito

“…In the realm of Visual Question Answering, accurate answers often hinge on the harmonious fusion of textual and visual elements. While these complex architectures are effective, they typically come with a hefty price tag: a large number of parameters that demand significant processing power and lengthy training times. …”
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Electrochemical deposition of La-Mg alloys in LaCl3-MgCl2-KCl system with molten salt electrolysis process by Sahoo Kumar D., Singh H., Krishnamurthy N.

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Flexible Human Behavior Analysis Framework for Video Surveillance Applications by Weilun Lao, Jungong Han, Peter H. N. de With

“…The extension of multiple-view fusion improves the event-based semantic analysis by 15%–30%. …”
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Improving the accuracy of the information retrieval evaluation process by considering unjudged document lists from the relevant judgment sets by Minnu Helen Joseph, SriDevi Ravana

“…Documents that were relevant and not retrieved by the systems were found from the document corpus and assigned new scores based on the Manifold fusion techniques then moved into the relevant judgment sets. …”
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Pythagorean m-Polar Fuzzy Weighted Aggregation Operators and Algorithm for the Investment Strategic Decision Making by Muhammad Riaz, Khalid Naeem, Ronnason Chinram, Aiyared Iampan

“…The role of multipolar uncertain statistics cannot be unheeded while confronting daily life problems on well-founded basis. Fusion (aggregation) of a number of input values in multipolar form into a sole multipolar output value is an essential tool not merely of physics or mathematics but also of widely held problems of economics, commerce and trade, engineering, social sciences, decision-making problems, life sciences, and many more. …”
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