標題: Titlebook: Artificial Intelligence on Fashion and Textiles; Proceedings of the A Wai Keung Wong Conference proceedings 2019 Springer Nature Switzerlan [打印本頁] 作者: 相似 時間: 2025-3-21 16:18
書目名稱Artificial Intelligence on Fashion and Textiles影響因子(影響力)
書目名稱Artificial Intelligence on Fashion and Textiles影響因子(影響力)學科排名
書目名稱Artificial Intelligence on Fashion and Textiles網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence on Fashion and Textiles網(wǎng)絡(luò)公開度學科排名
書目名稱Artificial Intelligence on Fashion and Textiles被引頻次
書目名稱Artificial Intelligence on Fashion and Textiles被引頻次學科排名
書目名稱Artificial Intelligence on Fashion and Textiles年度引用
書目名稱Artificial Intelligence on Fashion and Textiles年度引用學科排名
書目名稱Artificial Intelligence on Fashion and Textiles讀者反饋
書目名稱Artificial Intelligence on Fashion and Textiles讀者反饋學科排名
作者: hedonic 時間: 2025-3-21 23:11 作者: Neutral-Spine 時間: 2025-3-22 04:28 作者: 網(wǎng)絡(luò)添麻煩 時間: 2025-3-22 06:00 作者: 并置 時間: 2025-3-22 10:37 作者: Harass 時間: 2025-3-22 13:21 作者: 細絲 時間: 2025-3-22 18:40 作者: Benign 時間: 2025-3-22 23:31 作者: Choreography 時間: 2025-3-23 03:09
Fault Treatment and Continued Service,im of the proposed framework is to predict performances and minimize costs of the bleach washing. In the framework, a series of surrogate models are first constructed for illustrating the relationships between bleach washing parameters and washing performances by the orthogonal experimental design, 作者: 情感脆弱 時間: 2025-3-23 08:57
Damage Confinement and Assessment,d use a multi-classifier model based on Support Vector Machine (SVM) to extract physical features of customers. The physical features include four features: skin-color, face-shape, shoulder-shape and body-shape. Second, CERS stores the specific physical feature of customers into the Fact Base of the作者: 我的巨大 時間: 2025-3-23 13:07
Sikhar Patranabis,Debdeep Mukhopadhyaysystems. In this paper we present a cognitive characteristics based clothing style autonomous development model. By the addition of special domain related information to the classic itti visual attention model, we achieve the multi-object attention model of the clothing style. And based on this we i作者: 核心 時間: 2025-3-23 13:57 作者: 高爾夫 時間: 2025-3-23 20:44 作者: reptile 時間: 2025-3-24 00:52
Sikhar Patranabis,Debdeep Mukhopadhyayied PCs with sparse loadings so as to improve the performance of feature extraction. However, SPCA does not consider the label information of the data, which degrades its performance in some practical applications. To address this problem, we integrate the property of Least Squares Regression (LSR) 作者: Arthr- 時間: 2025-3-24 05:59
Side-Channel Assisted Fault Analysiseinventing itself. On the other hand, shoppers’ preference is changing from time to time. In this work, we make use of machine learning and computer vision technologies to automatically design new “must-have” fashion products with popular styles discovered from fashion product images and historical 作者: Madrigal 時間: 2025-3-24 06:29
https://doi.org/10.1007/978-981-10-1387-4ommuter X Jacquard by Google jacket helps reveal about the relationship between E-textiles and textiles manufacturing. The paper considers research conducted within the fields of Art, Design and Technology, along with materials with interesting and novel properties that have been integrated into kni作者: 枕墊 時間: 2025-3-24 12:14
https://doi.org/10.1007/978-3-031-01723-0ata methods (user interest preference matrix) used in the real-world datasets does not work well and the precision of implicit data method (collaborative filtering) greatly relies on the data amount of each user. Then, we introduce a new method called CF+TF-IDF, which combines the collaborative filt作者: 原來 時間: 2025-3-24 18:06
Fault Tolerant Computer ArchitectureFor multi-objective improvements, the most generally used developmental algorithms such as NSGA-II, SPEA2 and PESA-II can be utilized. The economical optimization framework includes destinations, requirements, and parameters which continuously can change with time. The minimization of the cost funct作者: 草率女 時間: 2025-3-24 20:47 作者: Limited 時間: 2025-3-25 01:13
Artificial Intelligence on Fashion and Textiles978-3-319-99695-0Series ISSN 2194-5357 Series E-ISSN 2194-5365 作者: penance 時間: 2025-3-25 04:16
Wai Keung WongPresents recent research devoted to Artificial Intelligence on Fashion and Textiles.Includes Proceedings of the Artificial Intelligence on Textile and Apparel (AITA) Conference 2018 held at the Hong K作者: 使顯得不重要 時間: 2025-3-25 09:19 作者: Saline 時間: 2025-3-25 13:31
https://doi.org/10.1007/978-3-319-99695-0Artificial Intelligence; Fashion; Apparel; Textile; AITA 2018作者: artless 時間: 2025-3-25 18:17 作者: Anticoagulant 時間: 2025-3-25 21:38 作者: SCORE 時間: 2025-3-26 03:34
Fabric Identification Using Convolutional Neural Network,ages, the network model can efficiently extract discriminative features and achieve a retrieval accuracy of 99.89% on our test set. This performance maintains well when simpler deep architecture is used, but decreases quickly if the contents of fed fabric image are reduced.作者: 多山 時間: 2025-3-26 05:58
Conference proceedings 2019nd applications of AI in the fashion and textile industries. It is essential reading for scientists, researchers and R&D professionals working in the field of AI with applications in the fashion and textile industry; managers in the fashion and textile enterprises; and anyone with an interest in the作者: 口味 時間: 2025-3-26 10:24 作者: Arrhythmia 時間: 2025-3-26 14:13
Fault Tolerant Computer Architectureulti-objective algorithm that based on a Non-Dominated Sorting Genetic Algorithm (NSGA-II). The results of our experimental study show that the proposed framework can efficiently be used to reduce the cost and time of optimizing the economical problems.作者: 代替 時間: 2025-3-26 18:37
Discrete Hashing Based Supervised Matrix Factorization for Cross-Modal Retrieval,zes the correlation between two modalities and discrete cyclic coordinate descent (DCC) method that solves NP-hard problems, which ensures that the hash codes generated in the cross-modal are more accurate and efficient. Experiments on three benchmark data sets show the effectiveness of the proposed method.作者: 群島 時間: 2025-3-27 00:59
Minimize the Cost Function in Multiple Objective Optimization by Using NSGA-II,ulti-objective algorithm that based on a Non-Dominated Sorting Genetic Algorithm (NSGA-II). The results of our experimental study show that the proposed framework can efficiently be used to reduce the cost and time of optimizing the economical problems.作者: esculent 時間: 2025-3-27 03:43 作者: cortisol 時間: 2025-3-27 08:18 作者: gusher 時間: 2025-3-27 13:22 作者: 畏縮 時間: 2025-3-27 16:01 作者: Airtight 時間: 2025-3-27 21:27 作者: Initiative 時間: 2025-3-28 02:01
https://doi.org/10.1007/978-3-031-01723-0is to infer users’ preference from their viewing habits and the program type they choose. By using CF+TF-IDF, we build a TV-program recommendation model, aiming at improving users’ viewing experience.作者: 遭遇 時間: 2025-3-28 05:20 作者: 割公牛膨脹 時間: 2025-3-28 09:55 作者: 小歌劇 時間: 2025-3-28 11:11 作者: 口味 時間: 2025-3-28 18:15
Costume Expert Recommendation System Based on Physical Features,erence engine, namely, blackboard model algorithms to obtain the recommended costume that suits the physical features of the customer. Therefore, the proposed system provides customers an intelligent costume recommendation strategy in accordance with SVM and Expert System.作者: figurine 時間: 2025-3-28 19:36
Sparse Discriminant Principle Component Analysis,vatives, the number of the modified PCs of SDPCA is not limited by the number of class, namely, SDPCA can address the small-class problem in LSR based methods. To solve the optimization problem, we also propose a new algorithm. Experimental results on product dataset, face dataset and character dataset demonstrate the effectiveness of SDPCA.作者: 運動吧 時間: 2025-3-29 02:13
The CF+TF-IDF TV-Program Recommendation,is to infer users’ preference from their viewing habits and the program type they choose. By using CF+TF-IDF, we build a TV-program recommendation model, aiming at improving users’ viewing experience.作者: 樹上結(jié)蜜糖 時間: 2025-3-29 03:34 作者: 整體 時間: 2025-3-29 07:18
Sikhar Patranabis,Debdeep Mukhopadhyayages, the network model can efficiently extract discriminative features and achieve a retrieval accuracy of 99.89% on our test set. This performance maintains well when simpler deep architecture is used, but decreases quickly if the contents of fed fabric image are reduced.作者: prosperity 時間: 2025-3-29 12:31 作者: MIR 時間: 2025-3-29 18:33
Network Configurations and Models,clothing knowledge base and clarify the recommendation rules. Considering the characteristics of the customers and the selection criteria, this system can make personalized clothing recommendation scheme for customers and ensure the rationality of the recommendation results.作者: 手術(shù)刀 時間: 2025-3-29 22:40
Sikhar Patranabis,Debdeep Mukhopadhyayated information to the classic itti visual attention model, we achieve the multi-object attention model of the clothing style. And based on this we implemented the autonomous development of clothing style recognition by Multi-Layer In-place Learning Network (MILN in short). Experiments prove the feasibility and effectiveness of our model.作者: Crepitus 時間: 2025-3-29 23:59
A Clothing Recommendation System Based on Expert Knowledge,clothing knowledge base and clarify the recommendation rules. Considering the characteristics of the customers and the selection criteria, this system can make personalized clothing recommendation scheme for customers and ensure the rationality of the recommendation results.作者: MELD 時間: 2025-3-30 06:31 作者: Extemporize 時間: 2025-3-30 10:37
Conference proceedings 2019ng, supply chain optimization, planning and scheduling, textile materialdefect detection, fashion and textile image recognition, fashion image and style retrieval, human body modeling and fitting, etc..作者: Bone-Scan 時間: 2025-3-30 12:58 作者: BIDE 時間: 2025-3-30 17:41
,Power-line Faults – Models and Analysis,l garment. Workshops were open for public participation and no prior VR experience was necessary. Findings suggest the VR domain has potential as a viable Human–Computer Interaction (HCI) domain for both creative and technical apparel design and applicable to a diverse body range.作者: 不連貫 時間: 2025-3-30 21:39 作者: Altitude 時間: 2025-3-31 00:51 作者: assent 時間: 2025-3-31 05:05 作者: 工作 時間: 2025-3-31 13:07 作者: septicemia 時間: 2025-3-31 16:50 作者: 不給啤 時間: 2025-3-31 21:18 作者: 雜色 時間: 2025-3-31 23:58
Yarn Quality Prediction for Spinning Production Using the Improved Apriori Algorithms,ion in the search process. Finally, based on the big real production data collected from the spinning factory, the effectiveness of the proposed Apriori algorithm are investigated and compared with the normal Apriori algorithm. The result indicates that the improved algorithm has better efficiency a作者: Subdue 時間: 2025-4-1 03:08
,Everybody Immersive Fashion_Human–Computer Interaction in VR,l garment. Workshops were open for public participation and no prior VR experience was necessary. Findings suggest the VR domain has potential as a viable Human–Computer Interaction (HCI) domain for both creative and technical apparel design and applicable to a diverse body range.作者: 鄙視讀作 時間: 2025-4-1 08:58 作者: 高度 時間: 2025-4-1 10:54
Woven Light: An Investigation of Woven Photonic Textiles,values due to its dynamic visual appearance. One of the fabrication methods used to produce POF textiles is the weaving technique. The properties of smart textiles, including hand feel, elasticity, flexibility, and drapability, can be considerably changed through the interplay among weaving variable作者: inventory 時間: 2025-4-1 17:19 作者: radiograph 時間: 2025-4-1 19:07
Challenges in Knitted E-textiles,gn requirement of the prototype development process but when we look to adopt the same principles as “Project Jacquard”; manufacturing knitted E-textiles to scale, the challenges of the material/machinery relationship become more of an issue. This raises the question as to whether it is better to de
