2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI)最新文献_第6页

MVPD: A Multimodal Video Physiology Database for rPPG MVPD: rPPG多模态视频生理数据库

2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI) Pub Date : 2023-06-16 DOI: 10.1109/SEAI59139.2023.10217565

Jiahe Peng, Weihua Su, Zandong Tian, Dongyuan Zang, Xiaoyu Li, Zijing Song

引用次数: 0

Hybrid Particle Swarm Optimization — Artificial Neural Network: Strength Prediction of Bambusa Blumeana Fiber and Recycled Coarse Aggregate for Multi-generation Recycled Aggregate Concrete 混合粒子群优化-人工神经网络:竹纤维与再生粗骨料多代再生骨料混凝土强度预测

2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI) Pub Date : 2023-06-16 DOI: 10.1109/SEAI59139.2023.10217632

Marko Lyxen G. Bajaro, D. Silva

{"title":"Hybrid Particle Swarm Optimization — Artificial Neural Network: Strength Prediction of Bambusa Blumeana Fiber and Recycled Coarse Aggregate for Multi-generation Recycled Aggregate Concrete","authors":"Marko Lyxen G. Bajaro, D. Silva","doi":"10.1109/SEAI59139.2023.10217632","DOIUrl":"https://doi.org/10.1109/SEAI59139.2023.10217632","url":null,"abstract":"Several studies on recycled aggregate concrete (RAC) have revealed percentage reductions in compressive strength (CS) and split tensile strength (STS). The addition of bamboo fiber, specifically Bambusa blumeana J.A. and J.H. Schultes, improves the mechanical properties of concrete. By combining these two materials, this paper prepared 175 concrete mixtures that produced 1050 specimens from the zeroth to third recycling generations of concrete. These specimens underwent CS and STS tests, and the findings were used to develop a hybrid Artificial Neural Networks and Particle Swarm Optimization (ANN-PSO) model. The results showed that the R values for the developed models for CS and STS were approaching 1 and the Mean Squared Error (MSE) were approaching 0 which were the ideal values. The findings suggest that the ANN-PSO model outperformed the Multiple Linear Regression (MLR) model as evident to the higher R value and lower Mean Absolute Percentage Error (MAPE) of the ANN-PSO models for CS and STS prediction. Moreover, using Garson’s algorithm (GA), the relative importance (RI) of the predictors used in the CS and STS models were calculated. The results showed that slump is the most influential parameter to the CS while that for the STS is the bamboo fiber % (BF%). This paper elucidates the potential of utilizing BF in RAC and the effectiveness of the ANN-PSO model in predicting CS and STS.","PeriodicalId":381082,"journal":{"name":"2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134091336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Metasurface Holographic Imaging Based on Three-Nanopores 基于三纳米孔的超表面全息成像

2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI) Pub Date : 2023-06-16 DOI: 10.1109/SEAI59139.2023.10217500

Cuiping Zhang, Jianbo Wang, Donghui Zhang, Donghui Feng, Xiaoqi Li, Jiaxu Shen

引用次数: 0

A Methodology of Face Validation with Domain Experts for Agent-Based Crime Risk Prediction 基于主体的犯罪风险预测的领域专家人脸验证方法

2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI) Pub Date : 2023-06-16 DOI: 10.1109/SEAI59139.2023.10217727

Yifei Gong, Feng Gu, Mengyan Dai

{"title":"A Methodology of Face Validation with Domain Experts for Agent-Based Crime Risk Prediction","authors":"Yifei Gong, Feng Gu, Mengyan Dai","doi":"10.1109/SEAI59139.2023.10217727","DOIUrl":"https://doi.org/10.1109/SEAI59139.2023.10217727","url":null,"abstract":"In modeling and simulation, face validation with domain experts is a recommended validation technique applied after implementing the conceptual model. Experts can offer early feedback on the prediction results. Experts’ empirical experiences can identify mistakes in the conceptual model and help estimate initial values of key parameters to save time for later calibrations. This work proposes a three-phase method to conduct face validation with police investigators and crime analysts to validate an agent-based crime risk prediction model. The three phases focus on verifying the prediction results, the behavioral design of target individuals, and the risk estimation process respectively. We present each phase’s goals, details, and types of validity addressed to provide clear guidance on adopting the method. Quantitative results of the feedback have shown that our face validation improves the correctness of the conceptual model and boosts intended users’ confidence in the model results. Our work also provides additional empirical experiences in urban crime prediction. The experimental results show the potential of the proposed method for validating other software systems with domain experts’ knowledge.","PeriodicalId":381082,"journal":{"name":"2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131663058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantitative Assessment of Head Impulse Test Using Stewart Platform 利用Stewart平台对头部冲击试验进行定量评估

2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI) Pub Date : 2023-06-16 DOI: 10.1109/SEAI59139.2023.10217531

Yi-Horng Lai, Jinyang Li

引用次数: 0

A Novel Binary Classification Algorithm for Carpal Tunnel Syndrome Detection Using LSTM 一种新的基于LSTM的腕管综合征二分类检测算法

2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI) Pub Date : 2023-06-16 DOI: 10.1109/SEAI59139.2023.10217512

Wei Feng, Wei Zhang, Meng Meng, Yifei Gong, F. Gu

{"title":"A Novel Binary Classification Algorithm for Carpal Tunnel Syndrome Detection Using LSTM","authors":"Wei Feng, Wei Zhang, Meng Meng, Yifei Gong, F. Gu","doi":"10.1109/SEAI59139.2023.10217512","DOIUrl":"https://doi.org/10.1109/SEAI59139.2023.10217512","url":null,"abstract":"Carpal tunnel syndrome (CTS) is one of the common neurological disorders caused by prolonged compression of the median nerve. Thus, CTS patients’ daily tasks are significantly affected. Traditional diagnostic methods are invasive or subjective, causing pain or inaccuracy. Therefore, a more accurate machine/deep learning classifier is needed to provide an accessible assessment approach that can help screen out early-stage patients to prevent further deterioration. Behavioral biomechanics has shown great potential to be used for CTS and its severity classification. The biomechanical parameters are collected when identified patients and healthy individuals perform daily life activities, such as grasping and lifting in a controlled manner. Facing the challenges of time series biomechanical data with small sample sizes and high dimensions, we propose a novel classification algorithm to create an ensemble model for CTS detection using Long Short-Term Memory (LSTM). The proposed algorithm achieves 93% accuracy on average for CTS detection using biomechanical data of daily life activities.","PeriodicalId":381082,"journal":{"name":"2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126495701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0