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共 58519 条记录，以下是1401-1410 订阅

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Federated Learning Approach for Social Media Sentiment Analysis: Analyzing Public Opinion 8

Federated Learning Approach for Social Media Sentiment Analy...

引用

8th IEEE international conference on Computing, Communication, Control and automation, ICCUBEA 2024

作者： Pare, Tarun Haque, Mohd Junedul Bhaladhare, Pawan R. Sandip University School of Computer Sciences and Engineering Maharashtra Nashik India

ISBN: (纸本)9798350391770

This paper examines how federated learning can be applied to social media sentiment analysis, focusing on public opinion across various online platforms. By using federated learning, we combine sentiment analysis models from multiple sources while maintaining data privacy and security. Our experiments show that federated learning successfully captures dynamic sentiment trends across different social media sites. The findings offer valuable insights into public opinion, benefiting businesses, policymakers, and researchers. Future research will explore advanced federated learning techniques, optimize model architectures, include multimodal data, evaluate performance across different demographics and languages, and address scalability for large datasets. This study lays the groundwork for using federated learning in social media sentiment analysis and advancing the understanding of public sentiment in the digital era. © 2024 IEEE.

关键词： Differential privacy

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From Paper to Pixels: A Multi-modal Approach to Understand and Digitize Assembly Drawings for Automated Systems 35th

From Paper to Pixels: A Multi-modal Approach to Understand a...

引用

35th international conference on Database and Expert Systems Applications (DEXA)

作者： Seliger, Raphael Guel-Ficici, Sebnem Goehner, Ulrich Univ Appl Sci Kempten Inst Data Optimized Mfg IDF Bahnhofstr 61 D-87435 Kempten Germany

ISBN: (纸本)9783031683015;9783031683022

The transition to Industry 4.0 intensifies the demand for advanced manufacturing techniques and efficient data processing capabilities. A notable challenge in engineering is that many older engineering drawings are only available in paper form, creating significant barriers for modern automated systems. This study tackles these challenges by employing advanced deep-learning techniques alongside traditional image processing to convert legacy engineering drawings into structured, machine-readable formats. Following this digitization process, this multi-modal approach further processes drawings containing a lot of heterogeneous data by filtering non-essential details to isolate and extract critical features. This process enables the conversion of complex drawings into formats suitable for computer vision and deep learning applications. The structured datasets resulting from this process are then utilized to enhance the efficiency of automated processes significantly. For instance, they enable more efficient pick-and-place operations by providing the data necessary for machine learning-driven automation.

关键词： Deep Learning computer Vision Document Analysis engineering Drawing Instance Segmentation

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Enhancing Academic Performance Predictions Using Deep Belief Networks: A Novel Approach for Educational Data Analysis 3

Enhancing Academic Performance Predictions Using Deep Belief...

引用

3rd international conference on automation, Computing and Renewable Systems, ICACRS 2024

作者： Zahoor, Irwa Mani, M.S. Radha Manga Saravanan, B. Kumar, Ajay Bhattacharya, Chaitali Kar, Rohit Department of Computer Science and Engineering Islamic University of Science and Technology Jammu and Kashmir Awantipora India Department of Information Technology SRKR Engineering College Andhra Pradesh Bhimavaram India Department of CSE Sri Eshwar College of Engineering Tamilnadu Coimbatore India Tecnia Institute of Advanced Studies Rohini New Delhi India Tecnia Institute of Advanced Studies CDL Wazirpur New Delhi India Department of Management St. Claret College Autonomous Karnataka Bengaluru India

ISBN: (纸本)9798331532420

The capacity to predict students' performance is vital in matters related to deep learning and its relationship to educational data and, more generally, to higher education. Precise performance prediction facilitates both the selection of appropriate courses and the creation of efficient long-term study plans. It helps with predicting how well students will do in class, and it lets administration and educators keep tabs on students to support the need for training program integration. Preprocessing, feature selection, and model training are all part of the suggested method. Transforming raw data into a usable format is a crucial step in machine learning. It helps fix problems in real-world datasets and produce better outcomes. Principle Component Analysis (PCA) is frequently employed in feature selection. All through the training, DGNN was always in use. This novel approach outperforms GNN and RNN with an average accuracy of 94.27%. © 2024 IEEE.

关键词： Adversarial machine learning

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Expiry Date Character Recognition on Canned Goods Using Convolutional Neural Network VGG16 Architecture 15

Expiry Date Character Recognition on Canned Goods Using Conv...

引用

15th international conference on computer and automation engineering, ICCAE 2023

作者： Manlises, Cyrel O. Santos, Joan B. Adviento, Patricia A. Padilla, Dionis A. Mapúa University School of Electrical Electronics and Computer Engineering Muralla St. Intramuros Manila1002 Philippines

ISBN: (纸本)9798350396225

Expiration dates have a significant role in the health and safety of consumers. It declares when a processed product like canned goods should be consumed. Once it has passed the expiration date, the product turns into food waste. This has been a major concern globally wherein one-third of the food manufactured is wasted. Using the researchers' dataset, the study focused on creating a system that uses image processing methods to recognize the characters, and the dot-matrix print expiration dates, in canned goods using the prescribed format: day, month, and year via Convolutional Neural Network Architecture. The process of image preprocessing, recognition, extraction, and classification of expiration date characters from the input image will take place in the raspberry pi microcontroller. An LCD screen was utilized to display the translated expiration dates from sample canned goods. The research used 30 sample canned goods, 27 of them were recognized correctly while the 3 others are recognized incorrectly. With this, the system was able to achieve 90% accuracy and proved that the system can recognize the expiration date on canned goods. © 2023 IEEE.

关键词： Character recognition

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Automated Service Robot for Catering Businesses Using Arduino Mega 2560 15

Automated Service Robot for Catering Businesses Using Arduin...

引用

15th international conference on computer and automation engineering, ICCAE 2023

作者： Cruz, James D. Domingo, Gian Cris B. Garcia, Ramon G. Mapúa University School of Electrical Electronics and Computer Engineering Manila Philippines

ISBN: (纸本)9798350396225

As technology becomes more advanced, the use of robots will further increase in the near future. It is expected that most of these robots are industrial robots and are most likely to be utilized in the upcoming years. However, the use of other types of robots, such as service robots, is also expected to increase gradually in the future. A waiter robot is a type of service robot that works in a catering business by performing the roles of a waiter, such as serving meals or accepting orders depending on its function. Currently, waiter robots are facing limitations. The main factor is how it navigates and interacts within a human environment. This paper aims to create a service robot that serves orders in a catering business. Arduino Mega 2560 was used as a microcontroller, and the line-following algorithm was used to guide the robot to the location of the dining tables. Two ultrasonic sensors were used to detect obstacles from a distance. Results show that the robot moves at a speed of 0.06 m/s in controlled testing and maintains that constant speed while carrying a maximum of 15kg load. Furthermore, it is shown that the robot is capable of serving multiple orders at a single dining table. The robot was able to serve 56 customers in a restaurant. © 2023 IEEE.

关键词： Mobile robots

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Early Melanoma Detection and Classification Using CNN and Confusion Matrix Analysis

Early Melanoma Detection and Classification Using CNN and Co...

引用

2024 international conference on System, Computation, automation and Networking, ICSCAN 2024

作者： Dinesh Kumar, K. Deepthi, K. Jaya Saravanakumar, S. Balamurugan, S. Govindharaj, I. Reddeppa, Pulikandla Akshay Vel Tech University Department of Computer Science and Engineering Chennai India Learning Mohan Babu University Department of Artificial Intelligence and Machine Tirupati India Paavai Engineering College Department of Information Technology Namakkal India Bengaluru India Learning Vel Tech University Department of Artificial Intelligence and Machine Chennai India

ISBN: (纸本)9798331510022

This article brings up a new method for detecting and classifying skin cancers using Convolutional Neural Networks (CNN) and Confusion Matrix analysis. The main work of this work evolves around detection of Melanoma and Non Melanoma cells. The large dataset on skin cancers is used to teach the CNN model to accurately classify different types of skin lesions into different malignant and non-cancerous groups. The integration of Confusion Matrix, in this case, allows for accurate identification of the classification errors made by the model as well as possible areas for improvement hence making it possible to comprehensively evaluate how well the model performs. Therefore, early recognition is indispensable to successful treatment as skin cancer is a typical yet fatal condition. Results shows that the suggested proposed model achieves 95.5% accuracy and performance in comparison with other methods found in literature. Additionally, Modified DenseNet201 model has a sensitivity of 95.96% as well as a specificity of 98.03%. © 2024 IEEE.

关键词： Lung cancer

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Towards Virtual Commissioning Environment for Smart Mechatronic Systems

Towards Virtual Commissioning Environment for Smart Mechatro...

引用

18th IEEE international conference on Advanced Motion Control, AMC 2024

作者： Lyu, Tuojian Atmojo, Udayanto Dwi Vyatkin, Valeriy Aalto University Department of Electrical Engineering and Automation Espoo Finland Luleå Tekniska Universitet Department of Computer Science Computer and Space Engineering Sweden

ISBN: (纸本)9798350342819

This paper presents progress in the development of a virtual commissioning environment for the validation of intelligent mechatronic systems with the following properties: 1) decentralised control architecture without a master controller, 2) open programmability based on the IEC 61499 standard, and 3) heterogeneous wired/wireless communication architecture. The presented environment is capable of instantiating in the cloud images of distributed control nodes connected to each other and with a plant simulation model. The environment aims to facilitate the verification of functional and non-functional requirements for complex automation systems composed of autonomous collaborating units. © 2024 IEEE.

关键词： Virtual reality

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Keypoints Estimation on Partial Point Clouds 6

Keypoints Estimation on Partial Point Clouds

引用

6th international conference on Robotics and automation in Industry, ICRAI 2024

作者： Saleem, Maryam Zohaib, Mohammad Naqvi, Syed Abbas Zilqurnain UET Human Centered Robotics Lab Department of Mechatronics and Control Engineering Lahore Pakistan SIGMA Clermont University of Clermont Auvergne Aubiere France

ISBN: (纸本)9798350355703

Estimating 3D keypoints of an object has achieved considerable interest, especially in computer graphics and ma-chine vision. The complexity of the problem increases when the object is noisy, decimated, or partially occluded. To this end, we present an approach to estimate 3D keypoints from the partial PCDs such that they also highlight the object's missing parts. It is based on two modules: shape completion and keypoints estimation. The first module computes the object's missing parts and generates a dense shape which is used by the second module to estimate semantically and geometrically consistent keypoints. The approach also estimates confidence scores that allow the selection of valid keypoint considering the object's structure. We evaluate the proposed method for four different backbones and observe that we get better results using PointNet. Furthermore, the presented results show that the Percentage of Correct Keypoints (PCK) and Dual Alignment Score (DAS) for the keypoints estimated from the dense shapes (36.61 and 76.29) are 23.51 % and 12.14% higher, respectively, compared to those estimated from the partial objects (13.10 and 64.15). © 2024 IEEE.

关键词： 3D modeling

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Integrated and Intelligent Elder-Friendly E-commerce Framework using NLP Techniques

Integrated and Intelligent Elder-Friendly E-commerce Framewo...

引用

2025 IEEE international Students' conference on Electrical, Electronics and computer Science, SCEECS 2025

作者： Sivasanjith, G. Mohan Prabhu, N. Hemaswathi, S. Rajkumar, P. Rajeshkannan, C. Dhivya, R. Kare Dept. of Information Technology Krishnankovil India Artificial Intelligence and Data Science Indra Ganesan College of Engineering Tiruchirappalli India Mount Zion College of Engg. and Tech. Dept. of Computer Science and Engg. Pudukottai India Suguna College of Engineering Dept. of Computer Science and Engg. Coimbatore India M.Kumarasamy College of Engineering Dept. of Information Technology Karur India

ISBN: (纸本)9798331529833

All over the world, the population of elderly people is increasing a lot. There needs to be special attention to the welfare of the elderly person to make them confident in their independent quality of living. In recent years, researchers have shown much interest in smart home automation for people who live alone without any human assistance. However, the purchase of medical drugs, diapers, etc., outside the house has to be fulfilled by their family members or caretakers. In most cases, it is not feasible, as the family members may stay long away from the elders. Purchasing online is easy;however, analyzing the best product requires knowledge in each e-commerce application for better quality at a low cost. This paper proposes an integrated and intelligent e-commerce framework to avoid the drawback of purchasing items online in a single window using the NLP technique. The proposed framework provides offers, discounts, star ratings, and product reviews by analyzing other customers' review data and purchase patterns. It provides interactive data analysis at a single window for the ease of elderly persons. The performance of the proposed framework was evaluated by 120 elderly persons using a simple questionnaire with a statistical analysis of a sample purchase. © 2025 IEEE.

关键词： Recommender systems

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Anti-jamming Research of UAV Communication Based on Link-16 Datalink 6

Anti-jamming Research of UAV Communication Based on Link-16 ...

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6th international conference on computer Network, Electronic and automation, ICCNEA 2023

作者： Liu, Lijun Fu, Yanfang Li, Qinjie Lu, Ying Cao, Zijian Chen, Yifan Xi'an Technological University School of Computer Science and Engineering Shaanxi Xi'an710021 China

ISBN: (纸本)9798350305388

In the context of Link-16 datalink UAV operation, aiming at the communication interference problem in UAV combat, taking the suppressive interference model as an example, the three-layer modeling model of UAV communication jammer based on Link-16, Link11 and Link-22 datalink is constructed on the OPNET software simulation platform. The model details the parameter meanings of each layer of the model, and uses suitable simulation scenarios for experimental verification. Through the comparative analysis of the experimental results, it is proved that Link-16 has strong anti-interference. The study of anti-jamming of Link-16 datalink has been a popular issue, and the experimental comparative study in this paper can provide a good understanding of the relevant communication capabilities of this datalink. Link-16's stronger anti-jamming study lays the groundwork for subsequent jamming studies. Its unique immunity to jamming aids militarized warfare. © 2023 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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