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Pheromone Matrix Eigenvalue-based convergence Assessment Indicator for Ant Colony Optimization 11

Pheromone Matrix Eigenvalue-based Convergence Assessment Ind...

引用

11th international conference on Machine Intelligence Theory and Applications, MiTA 2024

作者： Li, Xu Shi, Lin Li, Jian-Yu Xu, Jing Zhan, Zhi-Hui South China University of Technology School of Computer Science and Engineering Guangzhou510006 China Guangdong University of Finance and Economics Research Center of Intelligent Computing & Big Data Technology Guangdong Guangzhou510320 China Nankai University College of Artificial Intelligence Tianjin300350 China

ISBN: (纸本)9798350385670

As a crucial member of the evolutionary computation (EC), ant colony optimization (ACO) converges to the optimal result through a continuous process of iterative optimization. However, determining the convergence status of an ant colony remains a challenging task without well-established methods. To this end, this paper proposes a global evaluation indicator - average absolute eigenvalue of pheromone matrix (AAEPM) by constructing a pheromone matrix and analyzing its eigenvalue variations. This indicator aims to assess the convergence status of the ant colony during the evolutionary process. Experimental results show that the AAEPM is correlated with the convergence status of ACO and is not significantly influenced by algorithm parameters and problem scale. © 2024 IEEE.

关键词： Anthropogenic

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An In-Depth Exploration of Image Captioning Training Approaches and Performance Analysis 9

An In-Depth Exploration of Image Captioning Training Approac...

引用

9th IEEE international conference for convergence in technology, I2CT 2024

作者： Kushal, K. Manoj, Madhav Reddy, Kevansh Nair, Priyanka C. Amrita Vishwa Vidyapeetham Amrita School of Computing Dept. of Computer Science And Engineering Bengaluru India

ISBN: (纸本)9798350394474

In the rapidly evolving landscape of computer vision, image captioning has emerged as a challenging task. This report explores the techniques involved in image captioning using deep learning techniques, especially the encoder-decoder framework. Models such as CNN-LSTM, CNN-GRU,Xception - YOLO v4, GIT Based Model are used. Recognition is given to the significance of ample and well-annotated datasets in teaching the algorithms to understand the complex relationships between visual elements and textual descriptions. Along with traditional evaluation metrics like BLEU score, this study also employs metrics such as METEOR, ROUGE-L, and SPICE to compare performance between models. The findings highlight on the impact of deep learning in enabling computers to generate captions for diverse visual content. © 2024 IEEE.

关键词： Long short-term memory

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Deep Learning Approaches for Effective Human Computer Interaction: A Comprehensive Survey on Single and Multimodal Emotion Detection 9

Deep Learning Approaches for Effective Human Computer Intera...

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9th IEEE international conference for convergence in technology, I2CT 2024

作者： Jagadeesh, M. Viswanathan, Shruthi Varadarajan, Shruthi Srmist Department of Computing Technologies Kattankulathur Campus Tamil Nadu India Rajalakshmi Engineering College Department of Cse Tamil Nadu Chennai India

ISBN: (纸本)9798350394474

Emotions play an important role in communication, given its complexity, emotion recognition research is difficult because people convey their emotions through a variety of modalities, such as language, voice, and facial expressions. These cues often complement each other. This study explores the recognition of emotions from visual, auditory and also textual information. The proposed system offers flexibility in predicting features and recognizing categorical emotions, even when only one type of data (either audio or video or text) is available. To accomplish this, the system leverages pre-trained models like Efficient-Net, LSTM and Wav2Vec. The study on the evaluation of model performance includes metrics such as accuracy and precision, offering a comprehensive view of predictive capabilities. © 2024 IEEE.

关键词： Emotion Recognition

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ANALYSIS OF GLOBAL R&D TRENDS IN NATURAL COSMETICS BASED ON PATENT BIBLIOMETRICS 21

ANALYSIS OF GLOBAL R&D TRENDS IN NATURAL COSMETICS BASED ON ...

引用

21st international conference on Applied computing 2024, AC 2024 and 23rd international conference on WWW/Internet 2024, ICWI 2024

作者： Sohn, Eunsoo Seo, Jinny Lee, Chang-Hoan Center for Global R&D Data Analysis Korea Institute of Science and Technology Information 66 Hoegi-ro Dongdaemun-gu Seoul Korea Republic of

ISBN: (纸本)9789898704627

Natural cosmetics including nature-derived cosmetic materials, are growing significantly in line with global S&T trends such as eco-friendliness, sustainability, and technology convergence. In particular, due to concerns about air pollution and the rapid increase in skin disease patients such as allergies and atopy, the demand for natural cosmetics known to be safe and cause little skin irritation is increasing. In this study, through bibliometric analysis of 233,281 patent literature data we analyzed the global technology trends in natural cosmetics and the R&D level and competitiveness of Korean natural cosmetics leading the Korean Wave (Hallyu) and K-beauty. Network analysis, text mining, and machine learning using large language model were used to extract, cleaning, and analyze keyword from big text documents. These bibliometric big data analysis can help identifying development trends in natural cosmetics and provide important insights for establishing patent or R&D strategies. © 2024 Proceedings of the international conferences on Applied computing and WWW/Internet 2024. All rights reserved.

关键词： Cosmetics

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Drug Satisfaction Analytics: Investigating the Effectiveness of Various Embedding Techniques 9

Drug Satisfaction Analytics: Investigating the Effectiveness...

引用

9th IEEE international conference for convergence in technology, I2CT 2024

作者： John, Ardra K. Anushka, C.V. Gupta, Deepa Venugopalan, Manju Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science And Engineering Bengaluru India

ISBN: (纸本)9798350394474

In the healthcare economy, medication satisfaction can be defined as a patient reported upshot. Gaining insights into side effects of medication from individuals who have previously encountered them is crucial. This study concentrates on predicting satisfaction rating of drugs by extracting reviews from social healthcare forums for five distinct medications, each addressing a different health condition. Experimental analysis is conducted to assess the performance of Random Forest classifier integrated with three unique embeddings namely BERT, BioBERT and S- BERT. The results demonstrates that the fusion of Random Forest with BERT surpasses other approaches in terms of evaluation metrics. This superior performance is particularly evident in the range of F1 scores achieved across five different datasets, where this model combination scored between 0.91 and 0.98. © 2024 IEEE.

关键词： Embeddings

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Study on Music Similarity Computation for Music Recommendation and Visualization 15

Study on Music Similarity Computation for Music Recommendati...

引用

15th international conference on Information and Communication technology convergence, ICTC 2024

作者： Jang, Dalwon Lee, Jaewon Kim, YoungJun Korea Electronics Technology Institute Information & Media Research Center Seoul Korea Republic of

ISBN: (纸本)9798350364637

Music similarity is utilized not only for disclosing the likeliness between two music clips, but also for finding a model of music library. Using the model, recommendation and visualization is possible. We investigated papers related to music similarity. With the development of deep learning, many methods computing music similarity have been tried. A clear definition of music similarity does not exist. Thus, methods should be studied dividing the cases. According to the purpose, 3 viewpoints are considered in this paper. Moreover, similarity computation methods are categorized into 3 categories. © 2024 IEEE.

关键词： Contrastive Learning

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Engineering research on multi-strategy improvement of the grey wolf optimizer 11

Engineering research on multi-strategy improvement of the gr...

引用

11th international conference on Information Systems and computing technology, ISCTech 2023

作者： Ma, Mingming Wang, Bo Yang, Chenyan Shenyang University of Technology College of Science Liaocheng China Shenyang University of Technology College of Science Anshan China Shenyang University of Technology College of Science Yuncheng China

ISBN: (纸本)9798350342406

In order to address the shortcomings of traditional grey wolf optimization algorithm, such as the lack of population diversity, early convergence, and poor global optimization ability, a new algorithm (Improved Gray Wolf Optimizer IGWO) has been proposed based on Cauchy mutation and multi-strategy improvement. Firstly, the Tent chaotic map is utilized to initialize the population to avoid insufficient exploration of random populations. Secondly, the convergence factor is changed to a non-linear decreasing mode to flexibly balance the development and exploration stages. Finally, the Cauchy mutation operator is used to perturb the position updates, suppress premature convergence, and improve global optimization performance. In the simulation part, six test functions are used to verify the superiority of the IGWO. The time complexity analysis further proves its effectiveness. According to the experimental results, the IGWO algorithm demonstrates a significant effectiveness in solving two engineering design problems, and therefore can be applied to practical engineering optimization problems. © 2023 IEEE.

关键词： Global optimization

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Research on building optimization design based on genetic algorithm

Research on building optimization design based on genetic al...

引用

2024 international conference on Algorithms, High Performance computing, and Artificial Intelligence, AHPCAI 2024

作者： Shen, Hongping Wu, Ling Co. Ltd. Chengdu610000 China Chief Engineer's Office Sichuan Jinhongfeng Technology Co. Ltd. Chengdu610000 China

ISBN: (纸本)9781510685840

In response to the drawbacks of traditional genetic algorithms, such as premature convergence, low optimization efficiency, and inadequate precision, improvements have been made to traditional genetic algorithms from two aspects: calibration of the fitness function and diversification of the population. This has prevented traditional genetic algorithms from prematurely converging to local optimal solutions and broadened the optimization space. The improved genetic algorithm has been applied to architectural structural optimization design by establishing an optimization mathematical model with the objective of minimizing mass, addressing discrete variable structural optimization problems with stress and cross-sectional size constraints. Comparative optimization design results have been conducted between the improved genetic algorithm and standard genetic algorithms. The results indicate that the evolutionary generations of the improved genetic algorithm are fewer than those of the standard genetic algorithm, with significantly better convergence performance. This has enhanced the computational speed and optimization effectiveness of genetic algorithms in structural optimization applications. © 2024 SPIE.

关键词： Shape optimization

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Envisioning the interactive convergence of Generative AI and Facial Expression Recognition 9

Envisioning the interactive convergence of Generative AI and...

引用

9th IEEE international conference for convergence in technology, I2CT 2024

作者： Florance, G. Nirmala, M. Khan, Jumainah Saifudeen Hisham, K.M. New Horizon College of Engineering Computer Science And Engineering Bengaluru India

ISBN: (纸本)9798350394474

This paper explores and envisions a collaboration between Facial Expression Recognition (FER) and Generative Artificial Intelligence (GenAI) to create an advanced human-computer interaction (HCI) experience. Deep learning techniques are harnessed to interpret human emotions from facial expressions, using a structured approach that includes pre-processing, feature extraction, and classification. The data acquired from the FER stage informs GenAI systems - such as Generative Pre-trained Transformers (GPTs) - to produce contextually relevant and emotionally resonant responses. The proposed system leverages a sophisticated camera setup to capture facial data with high accuracy under diverse lighting conditions, ensuring robust and reliable emotion inference. Virtual avatars complete the multimodal experience by generating corresponding nonverbal cues. Special attention is given to creating a dynamic feedback loop for continuous learning and adaptation, leading to increasingly effective human-computer dialogues. Ethical implications, such as user privacy, data security, and bias mitigation, are central to the design and deployment of this system, underscoring the commitment to ethical standards and user empowerment. This paper aims to demonstrate how the convergence of FER and GenAI can revolutionize HCI, paving the way for enhanced empathetic and intelligent computing interfaces. © 2024 IEEE.

关键词： Intelligent systems

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State Monitoring Method of Optical Cable Combined with Computer Multi-Information Sensing Fusion technology 3

State Monitoring Method of Optical Cable Combined with Compu...

引用

3rd international conference on Electronic Informationtechnology and Smart Agriculture, ICEITSA 2023

作者： Chen, Yilong Zhu, Jingkai Gan, Zhong Feng, Chen State Grid Shanghai Municipal Electric Power Company Shanghai China

ISBN: (纸本)9798400716775

In order to improve the real-time monitoring effect of optical cable state, this paper combines computer multi-information sensing fusion technology to monitor optical cable state in real time, and develops a technology based on computing network convergence, which integrates communication network facilities with heterogeneous computing facilities, and uniformly arranges and controls various resources such as data, calculation and network, so as to improve the speed and efficiency of information dissemination. Under the control of computer program, the optical cable monitoring system can automatically realize the roll call test, periodic test and alarm test of optical cable. Moreover, it can compare the results with standard data in the optical cable characteristic library to find the occurrence of faults and the location of fault points. In order to verify the effectiveness of emerging technologies based on computing network convergence in solving information technology problems, simulation methods and experimental design are used to verify and evaluate. Through the analysis of the experimental results, we can see that the method proposed in this paper has some advantages compared with the traditional optical cable state monitoring methods. © 2023 ACM.

关键词： Optical fibers

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