標題: Titlebook: Advances on Intelligent Computing and Data Science; Big Data Analytics, Faisal Saeed,Fathey Mohammed,Mohammed Al-Sarem Conference proceedi [打印本頁] 作者: 契約 時間: 2025-3-21 16:07
書目名稱Advances on Intelligent Computing and Data Science影響因子(影響力)
書目名稱Advances on Intelligent Computing and Data Science影響因子(影響力)學科排名
書目名稱Advances on Intelligent Computing and Data Science網(wǎng)絡公開度
書目名稱Advances on Intelligent Computing and Data Science網(wǎng)絡公開度學科排名
書目名稱Advances on Intelligent Computing and Data Science被引頻次
書目名稱Advances on Intelligent Computing and Data Science被引頻次學科排名
書目名稱Advances on Intelligent Computing and Data Science年度引用
書目名稱Advances on Intelligent Computing and Data Science年度引用學科排名
書目名稱Advances on Intelligent Computing and Data Science讀者反饋
書目名稱Advances on Intelligent Computing and Data Science讀者反饋學科排名
作者: 門閂 時間: 2025-3-21 20:42 作者: Benign 時間: 2025-3-22 01:00 作者: 凝結劑 時間: 2025-3-22 06:57
Ma?gorzata Iwanicz-Drozdowska,Pawe? Smagana, individuals used online platforms to express their outrage at racial insults against the Chinese in Paul W. S. Anderson’s . (2020). This article uses sentiment analysis and natural language processing to analyze Chinese users’ views and responses on short-text social media platform called Weibo.作者: 小卒 時間: 2025-3-22 12:30 作者: DRILL 時間: 2025-3-22 14:49 作者: vasospasm 時間: 2025-3-22 20:10 作者: languid 時間: 2025-3-22 22:08 作者: declamation 時間: 2025-3-23 03:36
Ma?gorzata Olszak,Iwona Kowalskaity (AR) is thought to be one of the technologies that could have a significant impact on the field of education. The visual and interactive aspects of augmented reality, which enable the projection of digital content into the user’s field of view, have enormous promise as educational tools. For stu作者: Dungeon 時間: 2025-3-23 06:05 作者: dura-mater 時間: 2025-3-23 11:13 作者: 多骨 時間: 2025-3-23 15:15 作者: Esophagus 時間: 2025-3-23 19:09
Rafa? Siedlecki,Daniel Papla,Agnieszka Bem other health problems such as diabetes. In this article an investigation on the diagnosis, using deep learning, of ocular diseases caused by diabetes was conducted paying particular attention to cataract, glaucoma and diabetic retinopathy. The proposed approach to identify and classify these three 作者: EXCEL 時間: 2025-3-23 22:20 作者: 刻苦讀書 時間: 2025-3-24 02:31
Katarzyna Kuziak,Krzysztof Piontek, but it is more important in cryptocurrencies. Researchers have studied machine learning algorithms with cryptocurrencies, a concept that has been recently presented and has a great future as a financial instrument for investors. However, previous studies have ignored key variables like emotions an作者: DENT 時間: 2025-3-24 07:47
Krzysztof Piasecki,Joanna Siwekanking industry, machine learning could be used for a variety of uses involving data analysis. A method of data analysis that is capable of self-regulation has been made possible by the development of modern techniques, such as classification approaches. The classification method is a form of superv作者: Arthr- 時間: 2025-3-24 12:19
Giovanni Ferri,Angelo Leogrande sector can use tourism demand forecasting to gather important information for planning and making important decisions. However, it is difficult to produce an accurate forecast because tourism data is critical, especially when a periodic pattern, such as seasonality, trends, and non-linearity, is pr作者: Felicitous 時間: 2025-3-24 16:11 作者: 持久 時間: 2025-3-24 21:10
Contemporary Trends in Local Governanceprocess that requires accuracy and proficiency. The goal of this research is to figure out which patients are more prone to develop heart disease depending on a variety of medical characteristics. Using the medical attributes of the person, we created a prediction model for heart disease to determin作者: Common-Migraine 時間: 2025-3-25 00:47
Global Trends in Local Governance,s application domains. Top-k processing connects to many areas of database research, including query optimization, indexing methods, and query languages. Therefore, various emerging applications warrant efficient support for top-k queries. In this work, we faced these challenges by applying the Arti作者: Meditate 時間: 2025-3-25 05:03
https://doi.org/10.1007/978-3-031-36589-8tions and the global economy. In recent years, cryptocurrency has infiltrated almost all financial operations; hence, cryptocurrency trading is frequently recognized as one of the most popular and promising means of profitable investment. Lately, with the exponential growth of cryptocurrency investm作者: ALE 時間: 2025-3-25 07:34 作者: Silent-Ischemia 時間: 2025-3-25 14:11 作者: 使困惑 時間: 2025-3-25 19:33
Opinion Mining on Paul W. S. Anderson’s , from Chinese Social Media Using Sentiment Analysisive reviews after the release of the movie include different types of content: some are about the movie itself, some are because of “辱華”, and some mention “騰訊”. This study can benefit large-scale decision-makers on matters related censorship and filtering.作者: FLAG 時間: 2025-3-25 21:51 作者: 收集 時間: 2025-3-26 03:15 作者: JOT 時間: 2025-3-26 08:10 作者: MEAN 時間: 2025-3-26 09:35 作者: Delirium 時間: 2025-3-26 14:26
Tomato Plant Leaf Disease Identification and Classification Using Deep Learningases in tomato crops using leaf images. The process involves building a convolutional neural network using a pre-trained VGG16 model that pre-processes the images according to its requirements and performs segmentation on images before training and testing the data. The model obtained an accuracy of作者: 上釉彩 時間: 2025-3-26 18:50 作者: VOC 時間: 2025-3-26 22:07 作者: 靦腆 時間: 2025-3-27 01:51
A Comparison Study of Machine Learning Algorithms for Credit Risk Predictionich are used to determine if transactions are good or bad. The findings of data analysis using Logistic Regression, Linear Discriminant Analysis, Gaussian Naive Bayes, K-Nearest Neighbors Classifier, Decision Tree Classifier, Support Vector Machines, and Random Forest are compared and contrasted in 作者: 鄙視讀作 時間: 2025-3-27 08:44
Forecasting Tourist Arrivals Using a Combination of Long Short-Term Memory and Fourier Seriesaccuracy. The efficiency of the proposed model is compared using monthly tourism arrivals data from Langkawi Island, which has a notable pattern and seasonality. The findings reveal that the proposed model is more reliable than the other models in forecasting tourist arrivals series.作者: DALLY 時間: 2025-3-27 11:12
Age and Gender Classification from Retinal Fundus Using Deep Learning8.61%, whilst accuracy is 98.62%. There is a prevalent non-awareness among clinicians regarding the changes in retinal variable variances among age and gender, emphasizing on the necessity of model explain ability of the age and gender classification of the images of retinal fundus. DL may assist cl作者: 儲備 時間: 2025-3-27 16:53
Heart Disease Prediction Using a Group of Machine and Deep Learning Algorithmsactory, as it was capable of predicting evidence of having a heart condition in a specific patient utilizing DL and the ML Model (Random-Forest-Classifier) that had high accuracies when compared to other employed classifiers. The proposed DL methodology for predicting heart disease is going to impro作者: 心胸狹窄 時間: 2025-3-27 19:49 作者: 缺陷 時間: 2025-3-27 22:16
Ma?gorzata Iwanicz-Drozdowska,Pawe? Smagaive reviews after the release of the movie include different types of content: some are about the movie itself, some are because of “辱華”, and some mention “騰訊”. This study can benefit large-scale decision-makers on matters related censorship and filtering.作者: Indict 時間: 2025-3-28 02:58
Ma?gorzata Olszak,Iwona Kowalskaroaches from the literature were used to make comparisons. The results showed that the minimum voltage magnitude was increased by 8.4%, from 0.913 to 0.990?p.u. Furthermore, the total real power loss was reduced by 36.76%, indicating significant network performance and operational improvements. In a作者: HAWK 時間: 2025-3-28 08:58
Katarzyna Kochaniak,Pawe? Ulmanm Forest (RF), Support Vector Machine (SVM), Naive Bayes (NB),and K-nearest neighbor (KNN) are the five classification methods used in this study. The LightGBM model provides a more accurate forecast. Comprehensive testing is used to determine the overall effectiveness of the LightGBM at the level o作者: freight 時間: 2025-3-28 10:36
Katarzyna Kochaniak,Pawe? Ulman Language Processing (NLP) techniques and three main tasks are deployed: corpus analysis, term extraction, and concept conceptualisation. As for the ML-based stage, it is based on semi-supervised ML techniques and three main tasks are applied: taxonomic classification, semantic mapping, and knowledg作者: fatty-acids 時間: 2025-3-28 16:17 作者: expound 時間: 2025-3-28 19:11
Przemys?aw Garsztka,Pawe? Kliberases in tomato crops using leaf images. The process involves building a convolutional neural network using a pre-trained VGG16 model that pre-processes the images according to its requirements and performs segmentation on images before training and testing the data. The model obtained an accuracy of作者: Misgiving 時間: 2025-3-29 00:36 作者: inflame 時間: 2025-3-29 05:23
Katarzyna Kuziak,Krzysztof Pionteknd moth-flame optimization (MFO) are effective at optimising functions. This work introduces a novel hybrid sentiment-based SVM optimised by particle swarm and moth-flame algorithms (SVMPSOMFO) to improve predicting accuracy. SVMPSOMFO optimises the model’s parameter values by combining PSO and MFO,作者: 慟哭 時間: 2025-3-29 08:03
Krzysztof Piasecki,Joanna Siwekich are used to determine if transactions are good or bad. The findings of data analysis using Logistic Regression, Linear Discriminant Analysis, Gaussian Naive Bayes, K-Nearest Neighbors Classifier, Decision Tree Classifier, Support Vector Machines, and Random Forest are compared and contrasted in 作者: 演繹 時間: 2025-3-29 13:48 作者: 嚴厲批評 時間: 2025-3-29 16:42 作者: Irascible 時間: 2025-3-29 22:29
Contemporary Trends in Local Governanceactory, as it was capable of predicting evidence of having a heart condition in a specific patient utilizing DL and the ML Model (Random-Forest-Classifier) that had high accuracies when compared to other employed classifiers. The proposed DL methodology for predicting heart disease is going to impro作者: Dignant 時間: 2025-3-30 01:53 作者: deceive 時間: 2025-3-30 06:21
Advances on Intelligent Computing and Data ScienceBig Data Analytics, 作者: aspect 時間: 2025-3-30 10:46 作者: 情節(jié)劇 時間: 2025-3-30 16:17
2367-4512 nce of Advanced Computing and Informatics.Provides emerging .This book presents the papers included in the proceedings of the 3rd International Conference of Advanced Computing and Informatics (ICACin’22) that was held in Casablanca, Morocco, on October 15–16, 2022. A total of 98 papers were submitt作者: infinite 時間: 2025-3-30 20:10
Rafa? Siedlecki,Daniel Papla,Agnieszka Bem was conducted paying particular attention to cataract, glaucoma and diabetic retinopathy. The proposed approach to identify and classify these three diseases performed 96% accuracy on training, 89% on validation and 90.63% on testing. A deployment prototype of this model was also presented to build a suitable computer aided diagnosis tool.作者: 聾子 時間: 2025-3-30 22:07
Using Deep Learning for the Detection of Ocular Diseases Caused by Diabetes was conducted paying particular attention to cataract, glaucoma and diabetic retinopathy. The proposed approach to identify and classify these three diseases performed 96% accuracy on training, 89% on validation and 90.63% on testing. A deployment prototype of this model was also presented to build a suitable computer aided diagnosis tool.作者: MAIM 時間: 2025-3-31 01:13 作者: 脆弱帶來 時間: 2025-3-31 06:16
Paulina Roszkowska,?ukasz K. Langerlassifier with Incremental Learning Approach is built to detect emotions associated with the comments. The built emotion classifier showed accuracy ranging from 84% to 93%. The findings reveal that most of the comments are associated with the emotions of curiosity, love, and surprise.作者: connoisseur 時間: 2025-3-31 11:21 作者: 背信 時間: 2025-3-31 15:32 作者: 象形文字 時間: 2025-3-31 19:47 作者: 受人支配 時間: 2025-4-1 00:43
