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Devising single in-out long short-term memory univariate models for predicting the electricity price on the day-ahead markets 设计用于预测日前市场电价的单进单出长短期记忆单变量模型
IF 5.3 4区 计算机科学
Connection Science Pub Date : 2024-09-04 DOI: 10.1080/09540091.2024.2397351
Adela Bâra, Simona Vasilica Oprea
{"title":"Devising single in-out long short-term memory univariate models for predicting the electricity price on the day-ahead markets","authors":"Adela Bâra, Simona Vasilica Oprea","doi":"10.1080/09540091.2024.2397351","DOIUrl":"https://doi.org/10.1080/09540091.2024.2397351","url":null,"abstract":"We investigate the performance of intelligent systems such as various Long Short-Term Memory (LSTM) and hybrid models to forecast the electricity spot prices considering univariate and multivariate...","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142267656","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
Parkinson's disease detection and stage classification: quantitative gait evaluation through variational mode decomposition and DCNN architecture 帕金森病检测和分期分类:通过变模分解和 DCNN 架构进行步态定量评估
IF 3.2 4区 计算机科学
Connection Science Pub Date : 2024-08-09 DOI: 10.1080/09540091.2024.2383894
B. E., Vinodh Kumar Elumalai, Dhanasekaran Sandhiya, R. M. Swarna Priya, S. P. Shantharajah
{"title":"Parkinson's disease detection and stage classification: quantitative gait evaluation through variational mode decomposition and DCNN architecture","authors":"B. E., Vinodh Kumar Elumalai, Dhanasekaran Sandhiya, R. M. Swarna Priya, S. P. Shantharajah","doi":"10.1080/09540091.2024.2383894","DOIUrl":"https://doi.org/10.1080/09540091.2024.2383894","url":null,"abstract":"","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141921494","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
A continual learning framework to train robust image recognition models by adversarial training and knowledge distillation 通过对抗训练和知识提炼训练稳健图像识别模型的持续学习框架
IF 5.3 4区 计算机科学
Connection Science Pub Date : 2024-07-20 DOI: 10.1080/09540091.2024.2379268
Ting-Chun Chou, Yu-Cheng Kuo, Jhih-Yuan Huang, Wei-Po Lee
{"title":"A continual learning framework to train robust image recognition models by adversarial training and knowledge distillation","authors":"Ting-Chun Chou, Yu-Cheng Kuo, Jhih-Yuan Huang, Wei-Po Lee","doi":"10.1080/09540091.2024.2379268","DOIUrl":"https://doi.org/10.1080/09540091.2024.2379268","url":null,"abstract":"Deep learning has been widely adopted in many image recognition tasks with great success. It has now been applied to conducting tasks on vision-based edge devices with resource limitation. To secur...","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141746041","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
Enhancing image data security using the APFB model 利用 APFB 模型加强图像数据安全
IF 3.2 4区 计算机科学
Connection Science Pub Date : 2024-07-18 DOI: 10.1080/09540091.2024.2379275
Kousik Barik, Sanjay Misra, Luis Fernández Sanz, S. Chockalingam
{"title":"Enhancing image data security using the APFB model","authors":"Kousik Barik, Sanjay Misra, Luis Fernández Sanz, S. Chockalingam","doi":"10.1080/09540091.2024.2379275","DOIUrl":"https://doi.org/10.1080/09540091.2024.2379275","url":null,"abstract":"","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141825607","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
IPFS-blockchain-based delegation model for internet of medical robotics things telesurgery system 基于 IPFS 区块链的医疗机器人物联网远程手术系统授权模型
IF 5.3 4区 计算机科学
Connection Science Pub Date : 2024-06-17 DOI: 10.1080/09540091.2024.2367549
Sultan Basudan
{"title":"IPFS-blockchain-based delegation model for internet of medical robotics things telesurgery system","authors":"Sultan Basudan","doi":"10.1080/09540091.2024.2367549","DOIUrl":"https://doi.org/10.1080/09540091.2024.2367549","url":null,"abstract":"The concept of the Internet of Medical Robotics Things (IoMRT) is where intelligent robots assess surrounding events, combine information from their sensors, use both local and dispersed intelligen...","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507750","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
TfrAdmCov: a robust transformer encoder based model with Adam optimizer algorithm for COVID-19 mutation prediction TfrAdmCov:基于变压器编码器的稳健模型,采用亚当优化算法进行 COVID-19 变异预测
IF 5.3 4区 计算机科学
Connection Science Pub Date : 2024-06-12 DOI: 10.1080/09540091.2024.2365334
Mehmet Burukanli, N. Yumuşak
{"title":"TfrAdmCov: a robust transformer encoder based model with Adam optimizer algorithm for COVID-19 mutation prediction","authors":"Mehmet Burukanli, N. Yumuşak","doi":"10.1080/09540091.2024.2365334","DOIUrl":"https://doi.org/10.1080/09540091.2024.2365334","url":null,"abstract":"","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141350884","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
Global insights and the impact of generative AI-ChatGPT on multidisciplinary: a systematic review and bibliometric analysis 生成式人工智能--ChatGPT的全球洞察力及其对多学科的影响:系统回顾与文献计量分析
IF 5.3 4区 计算机科学
Connection Science Pub Date : 2024-05-16 DOI: 10.1080/09540091.2024.2353630
Nauman Khan, Zahid Khan, Anis Koubaa, Muhammad Khurram Khan, Rosli bin Salleh
{"title":"Global insights and the impact of generative AI-ChatGPT on multidisciplinary: a systematic review and bibliometric analysis","authors":"Nauman Khan, Zahid Khan, Anis Koubaa, Muhammad Khurram Khan, Rosli bin Salleh","doi":"10.1080/09540091.2024.2353630","DOIUrl":"https://doi.org/10.1080/09540091.2024.2353630","url":null,"abstract":"In 2022, OpenAI’s unveiling of generative AI Large Language Models (LLMs)- ChatGPT, heralded a significant leap forward in human-machine interaction through cutting-edge AI technologies. With its surging popularity, scholars across various fields have begun to delve into the myriad applications of ChatGPT. While existing literature reviews on LLMs like ChatGPT are available, there is a notable absence of systematic literature reviews (SLRs) and bibliometric analyses assessing the research’s multidisciplinary and geographical breadth. This study aims to bridge this gap by synthesizing and evaluating how ChatGPT has been integrated into diverse research areas, focusing on its scope and the geographical distribution of studies. Through a systematic review of scholarly articles, we chart the global utilization of ChatGPT across various scientific domains, exploring its contribution to advancing research paradigms and its adoption trends among di ff erent disciplines. Our findings reveal a widespread endorsement of ChatGPT across multiple fields, with significant implementations in healthcare (38.6%), computer science / IT (18.6%), and education / research (17.3%). Moreover, our demographic analysis underscores ChatGPT’s global reach and accessibility, indicating participation from 80 unique countries in ChatGPT-related research, with the most frequent countries keyword occurrence, USA (719), China (181), and India (157) leading in contributions. Additionally, our study highlights the leading roles of institutions such as King Saud University, the All India Institute of Medical Sciences, and Taipei Medical University in pioneering ChatGPT research in our dataset. This research not only sheds light on the vast opportunities and challenges posed by ChatGPT in scholarly pursuits but also acts as a pivotal resource for future inquiries. It emphasizes that the generative AI (LLM) role is revolutionizing every field. The insights provided in this paper are particularly valuable for academics, researchers, and practitioners across various disciplines, as well as policymakers looking to grasp the extensive reach and impact of generative AI technologies like ChatGPT in the global research community.","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140971013","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
Toward cost-effective quantum circuit simulation with performance tuning techniques 利用性能调整技术实现经济高效的量子电路仿真
IF 5.3 4区 计算机科学
Connection Science Pub Date : 2024-05-09 DOI: 10.1080/09540091.2024.2349541
Nai-Wei Hsu, Chuan-Chi Wang, Chia-Hsin Hsu, Chia-Heng Tu, Shih-Hao Hung
{"title":"Toward cost-effective quantum circuit simulation with performance tuning techniques","authors":"Nai-Wei Hsu, Chuan-Chi Wang, Chia-Hsin Hsu, Chia-Heng Tu, Shih-Hao Hung","doi":"10.1080/09540091.2024.2349541","DOIUrl":"https://doi.org/10.1080/09540091.2024.2349541","url":null,"abstract":"Quantum circuit simulation is a popular approach to evaluating novel quantum algorithms before a physical quantum computer is available. Unfortunately, the simulation is often done with the full-st...","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140932630","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
ERAM-EE: Efficient resource allocation and management strategies with energy efficiency under fog–internet of things environments ERAM-EE:雾-物联网环境下具有能源效率的高效资源分配和管理策略
IF 5.3 4区 计算机科学
Connection Science Pub Date : 2024-05-06 DOI: 10.1080/09540091.2024.2350755
Prakasam Periasamy, R. Ujwala, K. Srikar, Y.V. Durga Sai, K.S. Preetha, D. Sumathi, Md. Shohel Sayeed
{"title":"ERAM-EE: Efficient resource allocation and management strategies with energy efficiency under fog–internet of things environments","authors":"Prakasam Periasamy, R. Ujwala, K. Srikar, Y.V. Durga Sai, K.S. Preetha, D. Sumathi, Md. Shohel Sayeed","doi":"10.1080/09540091.2024.2350755","DOIUrl":"https://doi.org/10.1080/09540091.2024.2350755","url":null,"abstract":"Due to technological advancements, most devices are generating a significant amount of data which needs appropriate technology to handle the data generated by IoT devices. Fog computing addresses t...","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140932669","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
Economic policies assessment and judgement during the pandemic with semantic and social network joint analysis 利用语义和社会网络联合分析对大流行病期间的经济政策进行评估和判断
IF 5.3 4区 计算机科学
Connection Science Pub Date : 2024-04-03 DOI: 10.1080/09540091.2023.2298073
Miao Yu, Xing Wan, Tianyou Zhu, Yuyue Wang, Mengdi Xu, Zhenzhen Wu, Xinyu Li
{"title":"Economic policies assessment and judgement during the pandemic with semantic and social network joint analysis","authors":"Miao Yu, Xing Wan, Tianyou Zhu, Yuyue Wang, Mengdi Xu, Zhenzhen Wu, Xinyu Li","doi":"10.1080/09540091.2023.2298073","DOIUrl":"https://doi.org/10.1080/09540091.2023.2298073","url":null,"abstract":"This paper delves into the economic policies of China during the pandemic and investigates the relationships between policy-issuing institutions. Firstly, we conduct keyword extraction and statisti...","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140579186","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
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