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检索条件"任意字段=3rd International Conference on Robot Intelligence Technology and Applications"

共 6329 条记录，以下是741-750 订阅

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An Evaluation of Image Preprocessing in Skin Lesions Detection 3rd

An Evaluation of Image Preprocessing in Skin Lesions Detecti...

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3rd international conference on Optimization, Learning Algorithms and applications (OL2A)

作者： Silva, Giuliana M. Lazzaretti, Andre E. Monteiro, Fernando C. Inst Politecn Braganca Res Ctr Digitalizat & Intelligent Robot CeDRI Lab Sustentabilidade & Tecnol Reg Mt SusTEC Campus Santa Apolonia P-5300253 Braganca Portugal Fed Univ Technol BR-80230901 Curitiba Parana Brazil

ISBN: (纸本)9783031530357;9783031530364

This study aims to evaluate the impact of image preprocessing techniques on the performance of Convolutional Neural Networks (CNNs) in the task of skin lesion classification. The study is made on the ISIC 2017 dataset, a widely used resource in skin cancer diagnosis research. Thirteen popular CNN models were trained using transfer learning. An ensemble strategy was also employed to generate a final diagnosis based on the classifications of different models. The results indicate that image preprocessing can significantly enhance the performance of CNN models in skin lesion classification tasks. Our best model obtained a balanced accuracy of 0.7879.

关键词： Skin Lesion Classification Convolutional Neural Networks Deep Learning Image Preprocessing

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A Reliable Approach for Automatic Grading of Diabetic Retinopathy from Fundus Images using Feature Extraction and Fusion 3

A Reliable Approach for Automatic Grading of Diabetic Retino...

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3rd international conference on Electrical, Electronics, Information and Communication Technologies, ICEEICT 2024

作者： Jasmine, R.Anita Ramla, M. Ramesh, M. Srm Institute of Science and Technology Department of Data Science and Business Systems Chennai Kattankulathur India Srm Institute of Science and Technology Department of Computer Applications Chennai Kattankulathur India Srm Institute of Science and Technology Department of Computer Science Chennai Kattankulathur India

ISBN: (纸本)9798350369083

Diabetic Retinopathy (DR) is widely recognized as the primary cause of visual impairment worldwide. Early intervention is crucial in preventing irreversible vision loss. Ophthalmologists conventionally utilize fundus cameras to capture retinal images and detect indications of diabetic retinopathy, thereby facilitating prompt diagnosis. The progress made in computational intelligence has significantly enhanced our ability to identify, predict, and categorize DR. The focus of this research is to present a proficient framework for the DR grading. The framework proposed employs Laplacian filters to reduce undesirable image distortions and enhance the overall quality of the images. The methodology involves the utilization of transfer learning through the pre-existing VGG19 Convolutional Neural Network architecture to pull out features from diverse pooling layers. The amalgamation of extracted features from multiple layers results in the formation of feature vectors. These vectors are utilized as inputs for training various machine learning algorithms, with the objective of identifying the most effective model for evaluating the severity of DR. Significantly, the research provides a rationale for its forecasts, guaranteeing the transparency of the algorithm and comprehensibility of the model, thereby validating its reliability. The model's exceptional precision renders it a promising candidate for broad implementation in clinical identification and prediction of DR, potentially augmenting global patient outcomes. © 2024 IEEE.

关键词： Convolutional neural networks

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A High Quality Secure Medical Image Steganography Method 3

A High Quality Secure Medical Image Steganography Method

引用

3rd international conference on Computing and Information technology, ICCIT 2023

作者： Hameed, Mohamed Abdel Hassaballah, M. Bekhet, Saddam Narmatha, C. Kenk, Mourad A. Luxor University Faculty of Computers and Information Department of Computer Science Luxor Egypt Prince Sattam Bin Abdulaziz University College of Computer Engineering and Sciences Department of Computer Science AlKharj Saudi Arabia South Valley University Faculty of Commerce Qena Egypt University of Tabuk Faculty of Computers and Information Technology Tabuk City Saudi Arabia South Valley University Faculty of Computers and Artificial Intelligence Department of Computer Science Hurghada Egypt

ISBN: (纸本)9798350321487

The exchange of medical images over the Internet has prompted substantial claims on the last years due to the presentation of cloud-based medical data systems according to various web services in the area of telemedicine applications. The preservation of confidential information has ever been a key indicator of the effectiveness of these systems. In this paper, an efficient data hiding technique is proposed for Digital Imaging and Communications in Medicine (DICOM) images hence security can be specified for the highly invaluable and private sensitive data of the patient. The proposed method is developed for DICOM images to embed Patient Record Information (PRI) for maintaining the fidelity of both the critical components of the image and private patient data. The proposed method is very effective in telemedicine applications as it can increase the security of the PRI during its transmission over the Internet from different remote places. © 2023 IEEE.

关键词： Steganography

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Review of Trends in the Development of Power Rectifiers used in robotics 3

Review of Trends in the Development of Power Rectifiers used...

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3rd IEEE international conference on Interdisciplinary Approaches in technology and Management for Social Innovation, IATMSI 2025

作者： Vodovozov, Valery Raud, Zoja Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Tallinn Estonia

ISBN: (纸本)9798331521691

In the face of growing energy shortages, robot developers are increasingly attracted to new power converters. Herewith, only a few researchers pay attention to the problems of rectification and the potential for their resolving, despite the fact that the front or back ends of most converters contain rectifier circuits. The aim of the current review and its significance is to provide an up-to-date summary of rectifiers used for robot supply, their classification, challenges, and solutions arising from the integration of advanced power electronics into robotics. The study reveals the crucial role the rectifiers play in diverse stationary and mobile robotic applications. Progressive approaches to voltage, current, and waveform regulation are demonstrated. This helps expand the capabilities of robots and boost their efficiency, thereby optimizing energy utilization. © 2025 IEEE.

关键词： emerging power converters energy rectifiers robotics

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An Assessment on Deviations of the Teaching-Learning Based Optimization Algorithm and its applications 3

An Assessment on Deviations of the Teaching-Learning Based O...

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3rd international conference on Innovative Practices in technology and Management, ICIPTM 2023

作者： Verma, Sanjai Mohan Kumar, Santosh Abes Engineering College Department of Computer Science and Engineering Uttar Pradesh Ghaziabad201009 India Galgotias University Department of Computer Science and Engineering Uttar Pradesh Greater Noida201310 India

ISBN: (纸本)9798350336238

Swarm intelligence algorithms and evolutionary algorithms have been two well-known optimization approaches since the beginning of optimization. These population-based meta-heuristic algorithms are applied to a wide range of challenging multi-national computing challenges in the real world. Recently conducted studies on various multi-goal optimization techniques, on the other hand, shows that those inherently evolved meta-heuristics are incapable of dealing with multi-dimensional problems due to flaws. R.V. Rao proposed the Teaching-Learning Based Optimization (TLBO) method as a revolutionary population-based completely meta-heuristic for evaluating this type of situation in 2011. TLBO's applicability has surpassed many milestones since its inception, compared to today's advanced meta-heuristics for use in a number of engineering tasks. © 2023 IEEE.

关键词： Evolutionary algorithms

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The Application of Machine Vision Algorithm in Obstacle Recognition and Navigation of Logistics robots 3

The Application of Machine Vision Algorithm in Obstacle Reco...

引用

3rd IEEE international conference on Mobile Networks and Wireless Communications, ICMNWC 2023

作者： Liu, Lixun Zhou, Rongcheng Zhuhai College of Science and Technology Guangdong Zhuhai China

ISBN: (纸本)9798350317022

In various fields such as medical imaging, object detection, and video surveillance, multi view natural language query systems utilize image data to provide a more comprehensive perspective, allowing users to intuitively query and obtain information. Due to the lack of a deep understanding of natural language in the hard coded matching rule method, the query results do not match the user's intentions and are difficult to meet practical application needs. Therefore, this article introduces machine vision algorithms for optimization and improvement. Through two sets of simulation experiments, the following conclusion can be drawn: compared with traditional methods, the comprehensive average improvement of obstacle accuracy index is about 11.5%, while the comprehensive average improvement of navigation efficiency index is 13.35%. This study injects innovative momentum into the logistics industry, enabling logistics robots to quickly and accurately perceive and navigate obstacles in complex environments, thereby enhancing their intelligence level in tasks such as warehousing and sorting, and making substantial contributions to improving logistics efficiency and reducing costs. © 2023 IEEE.

关键词： Logistics robot Machine Vision Algorithm Navigation and Positioning Obstacle Recognition

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A Flexible Pressure Sensor with Multilayer Physical Crosslinking Structure Based on MXene 3

A Flexible Pressure Sensor with Multilayer Physical Crosslin...

引用

2023 IEEE 3rd international conference on Data Science and Computer Application, ICDSCA 2023

作者： Shi, Zhendong Li, Hongkai Beijing Institute of Technology Beijing China

ISBN: (纸本)9798350341546

With the rise of technology such as the Internet of Things and Rrtificial intelligence, flexible pressure sensors have broad application prospects in fields such as artificial touch, health monitoring, biomimetic electronic skin, etc. Currently, there is still a certain gap between the sensitivity and stability of flexible pressure sensors and practical applications. In this article, MXene is used as a conductive material, a MXene flexible pressure sensor with a multilayer physical crosslinking structure is prepared using vacuum filtration and electrostatic self-assembly methods. The test results show that the prepared flexible pressure sensor has two linear response regions in the pressure range of 0-40kPa, with the highest sensitivity in the low pressure range (0-2kPa), reaching 18.19kPa-1. It also has good piezoresistive sensitivity to the motion state of human limbs, This indicates that the flexible pressure sensor prepared in the experiment has good application prospects in the field of flexible wearable electronic devices. © 2023 IEEE.

关键词： flexible pressure sensor human health monitoring multilayer physical crosslinking structure MXene

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A Case Study on Optical Fiber Network Current Situation and Future Vision in Sana'a City 3

A Case Study on Optical Fiber Network Current Situation and ...

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3rd international conference on Emerging Smart Technologies and applications, eSmarTA 2023

作者： Yasin, Waheed Algunied, Adnan Mustafa, Nashwan Alhanshali, Rashad Omiran, Saleh Al-Jahafi, Mahmoud Yemen Telecom Technology Research Division Sana'a Yemen Yemen Telecom General Depatment of Network Planning and Design Sana'a Yemen Yemen Telecom Department of Strategies and Research Technology Sana'a Yemen Yemen Telecom Research Technology Division Sana'a Yemen Yemen Telecom Infrastructure Planning Division Sana'a Yemen Yemen Telecom Strategies Division Sana'a Yemen

ISBN: (纸本)9798350305333

With the rise of technologies such as the cloud computing, big data, Internet of Things (IoT), Virtual Reality (VR), and Artificial intelligence (AI), there is an increasing need for high speed data transmission. Optical fiber network has become the most important network for telecommunication companies. Furthermore, the needs of optical fibers in modern cities increase rapidly. On the other hand, there are some challenges face these companies as optical fiber service providers. Yemen Telecom is a telecommunication corporation in Yemen which provides the optical fiber network;however, this network suffers from many problems. This work studies the current situation of optical fiber network in Sana'a city. It summarizes the current drawbacks of the network. Moreover, it presents the consequences of these drawbacks. Also, it gives suitable solutions to overcome these drawbacks, the expected results, and the future vision of the network. © 2023 IEEE.

关键词： Optical fibers

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Sentimental Analysis based on Machine Learning Technique 3

Sentimental Analysis based on Machine Learning Technique

引用

3rd international conference for Innovation in technology, INOCON 2024

作者： Sharma, Kanika Jain, Dhyanendra Jain, Ashu Rathore, Yogendra Singh Agarwal, Shruti Abes Engineering College Department of CSE-AIML Ghaziabad India G.L.Bajaj Engineering College Department of CSE Gr.Noida India Institute of Technology and Managememt Gwalior India

ISBN: (纸本)9798350381931

In an age defined by the unprecedented proliferation of online content, the ability to discern sentiments within textual data has become integral across a spectrum of applications, spanning from business intelligence to the dynamic realm of social media monitoring. This study conducts a thorough exploration of sentiment analysis methodologies, placing a primary focus on the practical application of machine learning algorithms tailored to the demands of today's *** research conducts a comparative analysis to evaluate the effectiveness of diverse algorithms, including support vector machines, neural networks, and ensemble methods. By exploring proposed strategies to address these challenges, the study sheds light on their implications focusing on accuracy and robustness of sentiment analysis models in the present-day landscape.A comprehensive analysis compares diverse paradigms, such as SVM & neural networks, assessing their effectiveness amidst the challenges of navigating sarcasm, decoding context-dependent sentiments, and understanding language ***, as a platform, presents unique challenges for sentiment analysis, marked by the prevalence of slang and misspellings, compounded by the 140-character limitTwo predominant strategies, the approach based on knowledge and machine learning, are deployed for extracting sentiments from textual data. This research delves into the machine learning approach, specifically applied to analyse Twitter posts about electronic products such as mobiles and laptops. Focusing on sentiment analysis within a specific domain elucidates the impact of domain-specific information on sentiment *** study introduces a novel feature vector designed for the classification of tweets into positive and negative sentiments, offering insights into public opinions about electronic products. The utilization of a machine learning framework enhances the precision and granularity of sentiment analysis in the dynamic l

关键词： Sentiment analysis

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Hybrid path planning algorithm for mobile robot based on A∗ algorithm fused with DWA 3

Hybrid path planning algorithm for mobile robot based on A∗...

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3rd IEEE international conference on Information technology, Big Data and Artificial intelligence, ICIBA 2023

作者： Han, Leng Wu, Xuhui Sun, Xia Chongqing University of Posts and Telecommunications Chongqing China Chongqing Institute of Engineering Chongqing China

ISBN: (纸本)9781665490788

Mobile robots operating in unknown environments and require collision-free real-time path planning. In this paper, a hybrid path planning algorithm is proposed to solve the navigation problem of mobile robots in the presence of unpredictable obstacles. First, to improve the global algorithm's planning efficiency, the heuristic function of the A∗ algorithm is improved. In addition, this paper forms a hybrid path-planning algorithm by fusing the DWA algorithm. The local path planning is carried out with the intersection of the scope of the local path planning and the global path as the intermediate target point. The trajectory similarity evaluation coefficient is added to the heuristic function. When the original global path needs to be re-opened due to unknown obstacles, the local planning function is then fed back to the improved A∗ algorithm for dynamic path re-planning. The simulation results show that the hybrid path algorithm can avoid dynamic environmental obstacles. At the same time, when encountering unknown obstacles, it adopts local planning and adjusts the global path to meet the navigation requirements of mobile robots in complex environments. © 2023 IEEE.

关键词： Mobile robots

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