Expert Systems最新文献_第7页

RETRACTION: The Analysis of Green Advertisement Communication Strategy Based on Deep Factorization Machine Deep Learning Model Under Supply Chain Management

IF 3 4区计算机科学

Expert Systems Pub Date : 2024-12-04 DOI: 10.1111/exsy.13819

{"title":"RETRACTION: The Analysis of Green Advertisement Communication Strategy Based on Deep Factorization Machine Deep Learning Model Under Supply Chain Management","authors":"","doi":"10.1111/exsy.13819","DOIUrl":"https://doi.org/10.1111/exsy.13819","url":null,"abstract":"\u0000 \u0000 Retraction: X. Yu, Y. Zhu, C. Jia, W. Lu, and H. Xu, “ The Analysis of Green Advertisement Communication Strategy Based on Deep Factorization Machine Deep Learning Model Under Supply Chain Management,” Expert Systems 41, no. 5 (2024): e13258. https://doi.org/10.1111/exsy.13258.\u0000 The above article, published online on 22 February 2023, in Wiley Online Library (http://onlinelibrary.wiley.com/), has been retracted by agreement between the journal Editor-in-Chief, David Camacho; and John Wiley & Sons Ltd. Following an investigation by the publisher, the parties have concluded that this article was accepted solely on the basis of a compromised peer review process. In addition, the investigation found logical inconsistencies between the topic of the article and the conclusions reached in this article. Therefore, the article must be retracted. The authors did not respond to the notice regarding the retraction.","PeriodicalId":51053,"journal":{"name":"Expert Systems","volume":"42 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/exsy.13819","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

RETRACTION: The Evaluation of Enterprise Supply Chain Intelligent Manufacturing System for Agricultural Interconnection Data Based on Machine Learning

IF 3 4区计算机科学

Expert Systems Pub Date : 2024-12-04 DOI: 10.1111/exsy.13820

{"title":"RETRACTION: The Evaluation of Enterprise Supply Chain Intelligent Manufacturing System for Agricultural Interconnection Data Based on Machine Learning","authors":"","doi":"10.1111/exsy.13820","DOIUrl":"https://doi.org/10.1111/exsy.13820","url":null,"abstract":"\u0000 \u0000 Retraction: C. Yu, L. Li, J. Li, P. Qin, and B. Zhang, “ The Evaluation of Enterprise Supply Chain Intelligent Manufacturing System for Agricultural Interconnection Data Based on Machine Learning,” Expert Systems 41, no. 5 (2024): e13259. https://doi.org/10.1111/exsy.13259.\u0000 The above article, published online on 23 February 2023, in Wiley Online Library (http://onlinelibrary.wiley.com/), has been retracted by agreement between the journal Editor-in-Chief, David Camacho; and John Wiley & Sons Ltd. Following an investigation by the publisher, the parties have concluded that this article was accepted solely on the basis of a compromised peer review process. In addition, the investigation found a number of irrelevant or missing citations included in the published article which leaves some statements insufficiently supported. Therefore, the article must be retracted. The authors did not respond to the notice regarding the retraction.","PeriodicalId":51053,"journal":{"name":"Expert Systems","volume":"42 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/exsy.13820","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

RETRACTION: The Energy Storage and Optimal Dispatch Supply Chain for New Energy Grids Using Edge Computing and the Internet of Things

IF 3 4区计算机科学

Expert Systems Pub Date : 2024-12-04 DOI: 10.1111/exsy.13822

{"title":"RETRACTION: The Energy Storage and Optimal Dispatch Supply Chain for New Energy Grids Using Edge Computing and the Internet of Things","authors":"","doi":"10.1111/exsy.13822","DOIUrl":"https://doi.org/10.1111/exsy.13822","url":null,"abstract":"\u0000 \u0000 Retraction: J. Liu, “ The Energy Storage and Optimal Dispatch Supply Chain for New Energy Grids Using Edge Computing and the Internet of Things,” Expert Systems 41, no. 5 (2024): e13266. https://doi.org/10.1111/exsy.13266.\u0000 The above article, published online on 01 March 2023, in Wiley Online Library (http://onlinelibrary.wiley.com/), has been retracted by agreement between the journal Editor-in-Chief, David Camacho; and John Wiley & Sons Ltd. Following an investigation by the publisher, the parties have concluded that this article was accepted solely on the basis of a compromised peer review process. In addition, the investigation found there was significant unattributed overlap between this article and a previously-published article (Dunnan et al. 2021 [https://doi.org/10.1088/1755-1315/687/1/012140]), including the re-use of the charts between Figure 5 in this article and Figures 2 and 3 in the previously-published article. Therefore, the article must be retracted. The authors did not respond to the notice regarding the retraction.","PeriodicalId":51053,"journal":{"name":"Expert Systems","volume":"42 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/exsy.13822","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced Semantic Natural Scenery Retrieval System Through Novel Dominant Colour and Multi-Resolution Texture Feature Learning Model

IF 3 4区计算机科学

Expert Systems Pub Date : 2024-12-04 DOI: 10.1111/exsy.13805

L. K. Pavithra, P. Subbulakshmi, Nirmala Paramanandham, S. Vimal, Norah Saleh Alghamdi, Gaurav Dhiman

{"title":"Enhanced Semantic Natural Scenery Retrieval System Through Novel Dominant Colour and Multi-Resolution Texture Feature Learning Model","authors":"L. K. Pavithra, P. Subbulakshmi, Nirmala Paramanandham, S. Vimal, Norah Saleh Alghamdi, Gaurav Dhiman","doi":"10.1111/exsy.13805","DOIUrl":"https://doi.org/10.1111/exsy.13805","url":null,"abstract":"<div>\u0000 \u0000 A conventional content-based image retrieval system (CBIR) extracts image features from every pixel of the images, and its depiction of the feature is entirely different from human perception. Additionally, it takes a significant amount of time for retrieval. An optimal combination of appropriate image features is necessary to bridge the semantic gap between user queries and retrieval responses. Furthermore, users should require minimal interactions with the CBIR system to obtain accurate responses. Therefore, the proposed work focuses on extracting highly relevant feature information from a set of images in various natural image databases. Subsequently, a feature-based learning/classification model is introduced before similarity measure calculations, aiming to minimise retrieval time and the number of comparisons. The proposed work analyses the learning models based on the retrieval system's performance separately for the following features: (i) dominant colour, (ii) multi-resolution radial difference texture patterns, and a combination of both. The developed work is assessed with other techniques, and the results are reported. The results demonstrate that the implemented ensemble learning model-based CBIR outperforms the recent CBIR techniques.\u0000 </div>","PeriodicalId":51053,"journal":{"name":"Expert Systems","volume":"42 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PC-Based User Continuous Authentication in the Artificial Intelligence Method and System Using the User's Finger Stroke Characteristics

IF 3 4区计算机科学

Expert Systems Pub Date : 2024-12-03 DOI: 10.1111/exsy.13806

Heewoong Lee, Deok Gyu Lee, Kihyo Nam, Mun-Kweon Jeong

{"title":"PC-Based User Continuous Authentication in the Artificial Intelligence Method and System Using the User's Finger Stroke Characteristics","authors":"Heewoong Lee, Deok Gyu Lee, Kihyo Nam, Mun-Kweon Jeong","doi":"10.1111/exsy.13806","DOIUrl":"https://doi.org/10.1111/exsy.13806","url":null,"abstract":"<div>\u0000 \u0000 Biometric technology, which performs continuous authentication based on user behaviour, has been developed in various ways depending on the type of device, input device, and sensor. Research on continuous authentication technology in PC-based systems with few sensors installed is based on data from physical devices that extract and analyse features from keyboard and mouse input patterns. Among these, previous studies on continuous authentication through keyboard input performed continuous authentication using the key hold delay time that occurs when one key is pressed, the key interval delay time that occurs due to the interaction between fingers, and the key press delay time. However, the keyboard-based continuous authentication model has limitations in increasing accuracy due to a small number of features. Therefore, in this paper, when a user inputs a sentence using a QWERTY keyboard in a PC system, the function is subdivided by reflecting the characteristics of each finger and used for continuous authentication. The features extracted by reflecting the characteristics of the finger were subdivided into a total of 151 latencies, and Support Vector Data Description (SVDD), decision tree and CNN were used as continuous authentication models. Experimental data was collected through the user's input of randomly displayed sentences, and features were created based on this. User keystroke behaviour was used to validate the continuous authentication in the artificial intelligence model. Validation metrics included thresholds for classification accuracy (ACC), ROC curves, false rejection rate (FRR), equal error rate (EER), and false acceptance rate (FAR). As a result of the experiment, it was found that continuous authentication including the user's finger input pattern was superior to the existing method.\u0000 </div>","PeriodicalId":51053,"journal":{"name":"Expert Systems","volume":"42 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unveiling Lung Diseases in CT Scan Images With a Hybrid Bio-Inspired Mutated Spider-Monkey and Crow Search Algorithm

IF 3 4区计算机科学

Expert Systems Pub Date : 2024-12-03 DOI: 10.1111/exsy.13799

Anupam Kumar, Faiyaz Ahmad, Bashir Alam

{"title":"Unveiling Lung Diseases in CT Scan Images With a Hybrid Bio-Inspired Mutated Spider-Monkey and Crow Search Algorithm","authors":"Anupam Kumar, Faiyaz Ahmad, Bashir Alam","doi":"10.1111/exsy.13799","DOIUrl":"https://doi.org/10.1111/exsy.13799","url":null,"abstract":"<div>\u0000 \u0000 Bio-inspired computer-aided diagnosis (CAD) has garnered significant attention in recent years due to the inherent advantages of bio-inspired evolutionary algorithms (EAs) in handling small datasets with elevated precision and reduced computational complexity. Traditional CAD models face limitations as they can only be developed post-outbreak, relying on datasets that become available during such events such as the COVID-19 pandemic. The scarcity of data for emerging diseases poses a substantial challenge to achieving elevated precision with conventional deep-learning algorithms. Furthermore, even when datasets are available, employing deep learning for class-based classification is arduous, necessitating model retraining, in this paper, we propose a novel hybrid algorithm that leverages the strengths of the crow search algorithm (CSA) and the spider monkey optimization (SMO) algorithm to create an optimised spider monkey crow search (OSM-CS) algorithm. We developed a CAD tool that maps each input CT image to a high-dimensional vector by extracting four categories of features: high contrast, polynomial decomposition, textural, and pixel statistics. The proposed OSM-CS algorithm is employed as a feature selection method. Our experimental results demonstrate the effectiveness of the OSM-CS algorithm, achieving an impressive accuracy of 98.2% when coupled with an AdaBoost classifier for multi-class classification and 99.93% for binary classification. This performance surpasses that of state-of-the-art (SOTA) deep learning models and recently published hybrid algorithms, underscoring the potential of the OSM-CS algorithm as a powerful tool in the realm of CAD.\u0000 </div>","PeriodicalId":51053,"journal":{"name":"Expert Systems","volume":"42 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Evolutionary Game Study of Consumers' Low-Carbon Travel Behavior Under Carbon-Inclusive Policy 碳包容政策下消费者低碳旅行行为的进化博弈研究

IF 3 4区计算机科学

Expert Systems Pub Date : 2024-11-29 DOI: 10.1111/exsy.13804

Yaqin Liu, Xi Chen, Mengya Zhang, Ke Li, Daniel S. da Silva, Victor Hugo C. de Albuquerque

{"title":"An Evolutionary Game Study of Consumers' Low-Carbon Travel Behavior Under Carbon-Inclusive Policy","authors":"Yaqin Liu, Xi Chen, Mengya Zhang, Ke Li, Daniel S. da Silva, Victor Hugo C. de Albuquerque","doi":"10.1111/exsy.13804","DOIUrl":"https://doi.org/10.1111/exsy.13804","url":null,"abstract":"<div>\u0000 \u0000 Carbon-inclusive policy is regarded as an incentive measure to personal low-carbon actions. However, its impacts are various for different parties under the government-led (including government and consumer) mode and the enterprise-led (including government, consumer and the enterprise) mode, while few studies reveal their difference and give reasonable implications. To fill these gaps, taking consumer's low-carbon travel as an example, this study develops two evolutionary game models—a two-party model (based on government-led adoption) and a tripartite model (based on enterprise-led adoption)—to investigate the effects of carbon-inclusive policy. The findings show that (1) the policy benefits all parties in both models, but the participation of the enterprise enhances the effectiveness of the policy; (2) the enterprise-led mode, that is, the operation of the carbon-inclusive platform by the enterprise is preferred because all parties have higher payoff, compared with the government-led mode; and (3) subsidies from the government has a greater impact for consumers' low-carbon behaviours. However, it has a less impact for the enterprise, which indicates the strategic action of the government is to establish a reasonable consumer subsidy system while reducing subsidies for the enterprise. This study offers a novel perspective on the effects of the carbon-inclusive policy on consumers' low-carbon behaviour, and enriches the practice of personal carbon trading.\u0000 </div>","PeriodicalId":51053,"journal":{"name":"Expert Systems","volume":"42 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143120882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent Crack Detection in Infrastructure Using Computer Vision at the Edge

IF 3 4区计算机科学

Expert Systems Pub Date : 2024-11-28 DOI: 10.1111/exsy.13784

Mst. Mousumi Rizia, Julio A. Reyes-Munoz, Angel G. Ortega, Ahsan Choudhuri, Angel Flores-Abad

{"title":"Intelligent Crack Detection in Infrastructure Using Computer Vision at the Edge","authors":"Mst. Mousumi Rizia, Julio A. Reyes-Munoz, Angel G. Ortega, Ahsan Choudhuri, Angel Flores-Abad","doi":"10.1111/exsy.13784","DOIUrl":"https://doi.org/10.1111/exsy.13784","url":null,"abstract":"<div>\u0000 \u0000 To fulfil the demands of the industry in autonomous intelligent inspection, innovative frameworks that allow Convolutional Neural Networks to run at the edge in real-time are required. This paper proposes an end-to-end approach and system to enable crack detection onboard a customised embedded system. In order to make possible the deployment and execution on edge, this work develops a dataset by combining new and existing images, it introduces a quantization approach that includes inference optimization, memory reuse, and freezing layers. Real-time, onsite results from aerial and hand-held setup images of industrial environments show that the system is capable of identifying and localiszing cracks within the field of view of the camera with a mean average precision (mAP) of 98.44% and at ~2.5 frames per second with real-time inference. Therefore, it is evidenced that, despite using a full model, the introduced model customization improved the mAP by ~8% with respect to lighter state-of-the-art models, and the quantization technique led to a model inference two times faster. The proposed intelligent and autonomous approach advances common offline inspection techniques to enable on-site, artificial intelligence-based inspection systems, which also aid in reducing human errors and enhance safety conditions by automatically performing defect-recognition in tight and difficult-to-reach spots.\u0000 </div>","PeriodicalId":51053,"journal":{"name":"Expert Systems","volume":"42 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143120367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Application of Artificial Intelligence Planning and Scheduling in Photovoltaic Plant Construction Projects

IF 3 4区计算机科学

Expert Systems Pub Date : 2024-11-26 DOI: 10.1111/exsy.13798

Jesús Gil Ruiz, Hernán Díaz, Rubén González Crespo

引用次数: 0

Multi-Objective Evolutionary Algorithm Based on Decomposition With Orthogonal Experimental Design

IF 3 4区计算机科学

Expert Systems Pub Date : 2024-11-26 DOI: 10.1111/exsy.13802

Maowei He, Zhixue Wang, Hanning Chen, Yang Cao, Lianbo Ma

{"title":"Multi-Objective Evolutionary Algorithm Based on Decomposition With Orthogonal Experimental Design","authors":"Maowei He, Zhixue Wang, Hanning Chen, Yang Cao, Lianbo Ma","doi":"10.1111/exsy.13802","DOIUrl":"https://doi.org/10.1111/exsy.13802","url":null,"abstract":"<div>\u0000 \u0000 Multi-objective evolutionary optimisation algorithms (MOEAs) have become a widely adopted way of solving the multi-objective optimisation problems (MOPs). The decomposition-based MOEAs demonstrate a promising performance for solving regular MOPs. However, when handling the irregular MOPs, the decomposition-based MOEAs cannot offer a convincing performance because no intersection between weight vector and the Pareto Front (PF) may lead to the same optimal solution assigned to the different weight vectors. To solve this problem, this paper proposes an MOEA based on decomposition with the orthogonal experimental design (MOEA/D-OED) that involves the selection operation, Orthogonal Experimental Design (OED) operation, and adjustment operation. The selection operation is to judge the unpromising weight vectors based on the history data of relative reduction values and convergence degree. The OED method based on the relative reduction function could make an explicit guidance for removing the worthless weight vectors. The adjustment operation brings in an estimation indicator of both diversity and convergence for adding new weight vectors into the interesting regions. To verify the versatility of the proposed MOEA/D-OED, 26 test problems with various PFs are evaluated in this paper. Empirical results have demonstrated that the proposed MOEA/D-OED outperforms eight representative MOEAs on MOPs with various types of PFs, showing promising versatility. The proposed algorithm shows highly competitive performance on all the various MOPs.\u0000 </div>","PeriodicalId":51053,"journal":{"name":"Expert Systems","volume":"42 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143119788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0