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检索条件"任意字段=11th International Conference on Computer-Aided Design and Computer Graphics"

共 8485 条记录，以下是971-980 订阅

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A Coarse Feature Reuse Deep Neural Network for CXR Lesion Detection 11

A Coarse Feature Reuse Deep Neural Network for CXR Lesion De...

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11th international conference on Information Technology in Medicine and Education, ITME 2021

作者： Yang, Xinquan Li, Xuechen Shen, Linlin Cao, Min Zhou, Changen College of Computer Science and Software Engineering Ai Research Center for Medical Image Analysis Diagnosis Shenzhen University Shenzhen China Guangzhou Panyu Sanatorium Radiology Department Guangzhou China School of Traditional Chinese Medicine Fujian University of Traditional Chinese Medicine Fuzhou China

ISBN: (纸本)9781665406796

Lung disease screening using Chest x-ray (CXR) radiographs can obviously decrease the incidence of lung cancer. Using computer-aided diagnosis system to assist doctors in lung disease screening can greatly improve the diagnosis efficiency. In this paper, a coarse feature reuse deep neural network for CXR lesion detection is proposed. Firstly, we design a coarse feature reuse (CFR) block that can reuse low-level semantic features and extract high-level semantic information, which is used to replace the max-pooling layer in the shallow part of the network to achieve better feature extraction. A novel backbone network - RRCNet, which combines RepVGG block and Resblock, is proposed. the RepVggblock is used for better feature extraction at shallow layers and the Resblock is used for better feature fusion at deep layers. Extensive experiments on VinDr-CXR dataset demonstrate that our RRCNet-based detection network outperformes other classic detectors on both mAP (17.67%) and inference speed (0.1426s). © 2021 IEEE.

关键词： Feature extraction

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11th EAI international conference on Game theory for Networks, GameNets 2022

11th EAI International Conference on Game Theory for Network...

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11th EAI international conference on Game theory for Networks, GameNets 2022

ISBN: (纸本)9783031231407

the proceedings contain 25 papers. the special focus in this conference is on Game theory for Networks. the topics include: design and Implementation of Targeted Poverty Alleviation System Based on Blockchain Network;an Intent-Based Routing Scheme in Satellite IoT;interference Management in Terrestrial-Satellite Networks Using Stackelberg Game;optimal Resource Allocation for Computation Offloading in Maritime Communication Networks: An Energy-Efficient design via Matching Game;game theoretic Analysis of Resource Allocation in Multi-tiered Networks;Energy-Efficient Multi-cell NOMA design via Coalition Formation Game;the Vaccination Game in Susceptible-Infected-Susceptible (SIS) Networks with Multipopulations;a Stochastic Bandwidth Scanning Game;port Capacity Leasing Games at Internet Exchange Points;multi-service Communication Isolation of Underground Pipe Gallery Based on WiFi6;a Phase Transition in Large Network Games;dynamic Pricing for Tenants in an Automated Slicing Marketplace;service Function Chain Placement in Cloud Data Center Networks: A Cooperative Multi-agent Reinforcement Learning Approach;the Art of Concession in General Lotto Games;providing Slowdown Information to Improve Selfish Routing;budgeted Adversarial Network Resource Utilization Games;MU-PDR: A Method of Fingerprint Passive Positioning for WiFi6 Based on MU-RTS/CTS;the Optimal Layer of User-Specific Reconfigurable Intelligent Surfaces Structure for Uplink Communication System;a Sophisticated Anti-jamming Strategy for a Joint Radar and Communication System;power Data Credible Decision-Making Mechanism Based on Federated Learning and Blockchain;a Service Protection Mechanism of Deterministic Networking Based on Segment Routing;cloud-Edge Collaboration Based Power IoT Scene Perception Mechanism;task Allocation Mechanism of Power Internet of things Based on Edge Routing Optimization.

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Extracting spatial-Temporal characteristics from Dynamic Connectivity Network with rs-fMRI Data for AD Classification 11

Extracting spatial-Temporal characteristics from Dynamic Con...

引用

11th international conference on Bioinformatics and Biomedical Science, ICBBS 2022

作者： Chen, Ruiyin Kang, Guixia Key Laboratory of Universal Wireless Communications Beijing University of Posts and Telecommunications Beijing China Wuxi BUPT Sensory Technology and Industry Institute CO.LTD Wuxi China

ISBN: (纸本)9781450396929

Resting-state functional magnetic resonance imaging (rs-fMRI) based dynamic functional connectivity (dynamic FC) networks have been used to better comprehend the functioning of the brain, and have been used to early stage (i.e., mild cognitive impairment, MCI). Deep learning (e.g., convolutional neural network, CNN) approaches have recently been used to analyze dynamic FC networks, and they outperform classic machine learning methods. the sequence information of temporal properties from dynamic FC networks is largely ignored in previous investigations. To that aim, we propose a neural network based on CNN and TCN model for extracting spatial and temporal features from dynamic FC networks using rs-fMRI data for brain disease categorization in this research. the efficiency of our suggested technique in binary classification tasks is demonstrated by experimental findings on 134 ADNI individuals. © 2022 ACM.

关键词： computer aided diagnosis

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Detection of Tumor in Nervous tissue Using Radar Based design

Detection of Tumor in Nervous tissue Using Radar Based Desig...

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11th international conference of computer Communication and Informatics (ICCCI)

作者： Rosaline, S. Kannan, K. Krishnan, Rahul Vanaja, S. Sheela, J. Joselin Jeya RMK Engn Coll Dept Elect & Commun Engn Kavaraipettai India RMK Coll Engn & Technol Dept Elect & Commun Engn Thiruvallur India Rajalakshmi Inst Technol Dept Elect & Commun Engn Chennai Tamil Nadu India

ISBN: (纸本)9781728158754

An Ultra-wideband (UWB) pentagon antenna is examined and simulated using CST microwave studio for detecting the tumor present in the brain. It is operating at the range 3.67GHz to 13.2GHz in free space. the substrate of the microstrip antenna is designed using Flame Retardant (FR-4) substrate. the dimensions of the antenna are 44x30mm. For improving the bandwidth and directivity modifications is made in the patch and ground. the input radiations from the antenna are allowed to penetrate into the human head phantom containing tumor and the reflection coefficient is analyzed. the result shows that tumor head phantom has high reflection compared to tumor free model.

关键词： UWB pentagon antenna brain tumor reflection coefficient phantom

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Experimental Study on Motion Controller based on NN-ARX and ARMAX Actuator Identification for 3-DoF Delta Parallel Robot

Experimental Study on Motion Controller based on NN-ARX and ...

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RSI/ISM international conference on Robotics and Mechatronics (ICROM)

作者： Hasan Jalali Hossein Damavandi Ahmad Kalhor Mehdi Tale Masouleh Human and Robot Interaction Laboratory School of Electrical and Computer Engineering University of Tehran Tehran Iran Faculty of Computer Engineering and Information Technology Sadjad University Mashhad Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

Today, system identification plays a pivotal role in control science and offering a myriad of applications. this paper places its focus on the identification of actuator models within real-world delta robots for informing controller design. Two identification methods, namely NN-ARX and ARMAX, have been employed to extract the dynamic characteristics of the robot actuators, resulting in dynamic models of these integral components being derived. these dynamic models have been utilized in simulations for controller design, and due to the disparities in the identification models, distinct controllers have been realized. Subsequently, these controllers have been practically implemented on delta robots, and their performances have been subjected to a comprehensive comparative analysis. the results demonstrate that controllers integrating the identified actuator models outperformed those designed without the incorporation of the identification models. In practice, the implementation of controllers based on NN-ARX yielded the most favorable results among all the tested controllers. this research not only underscores the importance of accurate actuator models in control system design but also highlights the superior performance of neural network-based controllers in real-world robotic applications. In particular, the practical results of NN-ARX-based controllers were able to achieve significantly lower RMSE of 2.3562, 1.9531, and 2.1185 for the three motors, respectively, as opposed to the 4.1369, 3.0125, and 3.0363 achieved by the ARMAX-based controllers.

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Embedding Ethics into Neuroengineering Education: A Human-Centered Engineering Course on Neurorehabilitation

Embedding Ethics into Neuroengineering Education: A Human-Ce...

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international IEEE/EMBS conference on Neural Engineering, CNE

作者： Nicolas Berberich Natalia Paredes-Acuna Benjamin Lipp Gordon Cheng Institute for Cognitive Systems Technical University of Munich Germany Science & Technology Studies Cornell University

Neurotechnologies such as brain-computer interfaces, neuroprosthetics, neural-controlled exoskeletons, and brain stimulation systems are redefining how neurological patients are diagnosed and treated and how humans and machines interact. thus, they raise crucial ethical questions about how they can and should impact our lives during their integration into society. To have a positive impact on society, a new generation of neuroengineers need to be trained to be aware of these ethical concerns and address them in their research and development projects. In this paper, we present a university course on neurorehabilitation technologies designed and tested for integrating ethics and social sciences into neuroengineering education. Following a competences-centered didactic approach, we discuss how project-based learning can be applied to help the students acquire a diverse set of human-centered engineering competences. Our results show that students trained in this way learn to embed multiple ethical values into their neurore-habilitation technologies and successfully design and describe evaluation experiments in accordance with the guidelines of a research ethics commission.

关键词： Training Ethics Social sciences Exoskeletons Neural engineering Neuroprostheses Brain-computer interfaces

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Output Feedback Stabilizing Control design for a Class of Single-Link Robot Systems 11th

Output Feedback Stabilizing Control Design for a Class of Si...

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11th international conference on computer Engineering and Networks, CENet2021

作者： Sun, Fuqiang Yan, Xuehua School of Electrical Engineering University of Jinan Jinan250022 China

ISBN: (纸本)9789811665530

In this paper, the design problem of stabilizing controller is studied by using backstepping and domination control idea for a class of single-link robot systems, under the assumption that all the system parameters are unknown but their upper and lower bounds and the sign of control coefficient are known. Firstly, motivated by but different from [1], a new coordinate transformation is introduced to obtain a new system without unknown control coefficients in the state equation. then, for the new system, inspired by [2], a controller based on high-gain observer is designed with the idea of backstepping control and dominant control, the relationship on the design parameters is explicitly given, and then the Lyapunov stability theory is used for stability analysis. Finally, the simulation results show all the signals of the closed-loop system are indeed globally bounded and finally converge to zero, which verifies the validity of the designed controller. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Backstepping

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Analysis and Comparison of Leakage Power Reduction Techniques for VLSI design

Analysis and Comparison of Leakage Power Reduction Technique...

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11th international conference of computer Communication and Informatics (ICCCI)

作者： Raghunath, Anirudh Bathla, Shikha Amity Univ Dept Elect & Commun Engn Noida India

ISBN: (纸本)9781728158754

Gadgets consuming less power have risen as a well-known subject in the cutting-edge electronics industry. Decrease in consumption of power makes a device increasingly dependable and productive. As a result, CMOS innovation turned out to be most popular for low power utilization gadgets. Cutback on the voltage supply decreases the dynamic power loss quadratically and the leakage power linearly. Weak inversion current due to leakage is a prime candidate for standing power utilization. Since the feature sizes continue to reduce it has caused an exponential rise in weak inversion current due to leakage thanks to the reduction of sub-threshold voltage. As stated in the previous works, leakage power dissipation sooner or later may tower above the total power consumption as the size of technological features reduce to nano-meter scheme in submicron technologies. this paper is aimed to bring a thorough analysis and comparison of various leakage power reduction techniques used.

关键词： leakage current sub-threshold voltage deep submicron power gating CMOS LECTOR power dissipation

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Judge a Book by its Cover: A Multimodal Approach to Book Genre Prediction

Judge a Book by its Cover: A Multimodal Approach to Book Gen...

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international conference on Web Research (ICWR)

作者： Reza Toosi Alireza Hosseini Ramin Toosi Mohammad Ali Akhaee Department of Computer Engineering Faculty of Engineering Golestan University Gorgan Iran School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

ISBN: (数字)9798331508913

ISBN: (纸本)9798331508920

In today's visually driven market, book cover design plays a crucial role in conveying a work's narrative and thematic essence. However, conventional recommendation systems have largely overlooked the valuable information embedded in cover designs, particularly regarding genre classification. Recognizing a book's genre from its cover is challenging due to the subtle and complex interplay of design elements. In this paper, we propose a multi-modal approach that integrates both visual and textual features extracted from book covers to predict their genres. Our method employs two complementary image embedding models-designed to capture both local and global visual information-alongside a text embedding module that incorporates cover text. We evaluated the proposed approach on a dataset comprising 57,000 books spanning 30 genres. Experimental results demonstrate that our method achieves a Top-1 accuracy of 52.98 % and a Top-3 accuracy of 75.27 %, outperforming state-of-the-art techniques and underscoring the potential of multi-modal integration for genre recognition.

关键词： Visualization Accuracy Systematics Multi label classification Feature extraction Recommender systems

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Improving UX Problem Solution through Divergent and Convergent design thinking in UX Journey

Improving UX Problem Solution through Divergent and Converge...

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international conference of Information and Communication Technology (ICoICT)

作者： Wahyu Andhyka Kusuma Azrul Hazri Bin Jantan Noris Binti Mohd Norowi Novia Indriaty Admodisastro Informatics/Faculty of Computer Science and Information Technology Universiti Putra Malaysi/ Universitas Muhammadiyah Malang Malaysia Faculty of Computer Science and Information Technology Universiti Putra Malaysia Malaysia

design solves the problem because the design positively correlates with performance improvement and simplifies some problems. design thinking is a formal solution that solves problems creatively to increase product innovation. Frequently, to create solutions, developers will see from the perspective of products that are already on the market or use the latest technology to create design solutions; however, design thinking is a solution that uses the creativity of developers to create opportunities based on creativity from what already exists and can imagine the novelty of the product. the contradiction between solution and direction innovation emphasizes that both require variant design thinking practices. this research investigates several issues (i) the relationship between design thinking practices and constructs a value from a problem, and (ii) how to increase the value of this relationship to be moderated when the goal is determined to be solution innovation or direction innovation. this research contributes to providing increased value from the relationship between solution innovation and direction innovation according to the context of the problems faced. Moreover, developers can determine creative solutions that have value from a problem. By involving 137 freelance developers, researchers succeeded in proving that the UX Journey, a flexible design thinking-inspired model, can show that there is a positive relationship between the practice of user need elicitation and the value generated through design thinking is stronger for solution innovation than for direction innovation, with an average value of the solution is one (0.9136).

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