標(biāo)題: Titlebook: Computational Intelligence in Data Mining; Proceedings of ICCID Janmenjoy Nayak,H.S. Behera,Danilo Pelusi Conference proceedings 2022 The E [打印本頁] 作者: HEM 時(shí)間: 2025-3-21 19:55
書目名稱Computational Intelligence in Data Mining影響因子(影響力)
書目名稱Computational Intelligence in Data Mining影響因子(影響力)學(xué)科排名
書目名稱Computational Intelligence in Data Mining網(wǎng)絡(luò)公開度
書目名稱Computational Intelligence in Data Mining網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computational Intelligence in Data Mining被引頻次
書目名稱Computational Intelligence in Data Mining被引頻次學(xué)科排名
書目名稱Computational Intelligence in Data Mining年度引用
書目名稱Computational Intelligence in Data Mining年度引用學(xué)科排名
書目名稱Computational Intelligence in Data Mining讀者反饋
書目名稱Computational Intelligence in Data Mining讀者反饋學(xué)科排名
作者: indenture 時(shí)間: 2025-3-21 20:29
Sentiment Analysis: A Recent Survey with Applications and a Proposed Ensemble Algorithm,yzes the pros and cons of some current studies with their approaches and compares their results on various datasets. Also, this paper discusses the uses of sentiment analysis in real life. Finally, this paper proposes a new hybrid algorithm carrying various features for sentiment analysis using AdaBoost and majority voting ensemble techniques.作者: 背信 時(shí)間: 2025-3-22 00:49
A Novel BFS and CCDS-Based Efficient Sleep Scheduling Algorithm for WSN,sage. Color Connected Dominated Set is used to transmit messages to all nodes without collision and hence minimize the energy consumption. The analysis is made between two algorithms with the same set of nodes.作者: Invigorate 時(shí)間: 2025-3-22 07:14
Face Recognition: A Review and Analysis,tracted from deep learning models such as DeepFace and VGGFace. We also discussed the challenges such as illumination and pose variation and available standard data sets such as LFW and Yale data set in the field of face recognition.作者: artifice 時(shí)間: 2025-3-22 11:45 作者: Ballerina 時(shí)間: 2025-3-22 14:11 作者: Ballerina 時(shí)間: 2025-3-22 17:53 作者: Left-Atrium 時(shí)間: 2025-3-23 00:35 作者: Enliven 時(shí)間: 2025-3-23 05:24
Intelligent Computing Systems for Diagnosing Plant Diseases, will be useful for further exploration on methods to identify, detect, and quantify the diseases irrespective of the plant. Further, the knowledge gained will be useful for further investigation of various image processing techniques to be applied on parts of the plants other than leaves.作者: Disk199 時(shí)間: 2025-3-23 05:33 作者: 國家明智 時(shí)間: 2025-3-23 12:57 作者: Accomplish 時(shí)間: 2025-3-23 14:04
Creating Value Through Strategic Alliances, dice loss of 0.425, 0.414 are obtained by 2D-VNet and WNet, respectively. Training time taken by 2D-VNet and WNet is 44 and 77?s-per-epoch, respectively. Modified WNet exhibits more complexity than 2D-VNet model, whereas performance of both is almost similar.作者: Uncultured 時(shí)間: 2025-3-23 20:50
Strategic Planning and Forecasting,eal time. For video generation, we use general adversarial networks (GANs), encoder-decoder, and various other previously implemented generative models. The proposed methodology has been implemented and tested with some raw data and is quite effective for the specified application.作者: 管理員 時(shí)間: 2025-3-24 00:08 作者: 衣服 時(shí)間: 2025-3-24 02:43 作者: 谷物 時(shí)間: 2025-3-24 08:09
https://doi.org/10.1007/978-3-030-20157-9ata observed during and after the said span. It also attempts to analyze how effective the lockdown has been across various countries and what India specifically must do to prevent a catastrophic outcome.作者: Insulin 時(shí)間: 2025-3-24 11:06
Multimodal MRI Analysis for Segmentation of Intra-tumoral Regions of High-Grade Glioma Using VNet a, dice loss of 0.425, 0.414 are obtained by 2D-VNet and WNet, respectively. Training time taken by 2D-VNet and WNet is 44 and 77?s-per-epoch, respectively. Modified WNet exhibits more complexity than 2D-VNet model, whereas performance of both is almost similar.作者: 裝飾 時(shí)間: 2025-3-24 15:47
Deepfakes for Video Conferencing Using General Adversarial Networks (GANs) and Multilingual Voice Ceal time. For video generation, we use general adversarial networks (GANs), encoder-decoder, and various other previously implemented generative models. The proposed methodology has been implemented and tested with some raw data and is quite effective for the specified application.作者: 紋章 時(shí)間: 2025-3-24 21:27 作者: 怕失去錢 時(shí)間: 2025-3-24 23:13 作者: 狗窩 時(shí)間: 2025-3-25 04:43
COVID-19 Time Series Prediction and Lockdown Effectiveness,ata observed during and after the said span. It also attempts to analyze how effective the lockdown has been across various countries and what India specifically must do to prevent a catastrophic outcome.作者: indoctrinate 時(shí)間: 2025-3-25 10:59 作者: 自負(fù)的人 時(shí)間: 2025-3-25 13:22
Strategic Management Accounting, Volume IIsage. Color Connected Dominated Set is used to transmit messages to all nodes without collision and hence minimize the energy consumption. The analysis is made between two algorithms with the same set of nodes.作者: GULP 時(shí)間: 2025-3-25 17:28
Strategic Management Accounting, Volume IIItracted from deep learning models such as DeepFace and VGGFace. We also discussed the challenges such as illumination and pose variation and available standard data sets such as LFW and Yale data set in the field of face recognition.作者: 歡樂中國 時(shí)間: 2025-3-25 22:31 作者: 柔軟 時(shí)間: 2025-3-26 02:58
2190-3018 d of data mining, machine and computational intelligence, along with some current issues and applications of related topics..978-981-16-9449-3978-981-16-9447-9Series ISSN 2190-3018 Series E-ISSN 2190-3026 作者: Scintigraphy 時(shí)間: 2025-3-26 04:48
Identifying opportunity and riskecision tree classifier and random forest classifier show an accuracy of 92% and 93%, respectively. A subset of the data is used to create class membership probabilities for every attribute for training, and hence, a mass function is created. Finally, D-S rule is applied, and the outcomes suggest th作者: 炸壞 時(shí)間: 2025-3-26 10:35 作者: 解開 時(shí)間: 2025-3-26 13:46 作者: Nutrient 時(shí)間: 2025-3-26 20:01 作者: 兒童 時(shí)間: 2025-3-27 00:46 作者: Reverie 時(shí)間: 2025-3-27 03:33 作者: 無可非議 時(shí)間: 2025-3-27 06:47
Environment and Health-Care Units,), National Association of Securities Dealers Automated Quotations (NASDAQ), Bombay Stock Exchange (BSE), and Hang Seng Index (HSI). Outcomes of result analysis and comparative studies have shown the out-performance of AEFA?+?FLANN-based forecasting.作者: Fermentation 時(shí)間: 2025-3-27 11:43
,Multi-Sensor Data Fusion for Occupancy Detection Using Dempster–Shafer Theory,ecision tree classifier and random forest classifier show an accuracy of 92% and 93%, respectively. A subset of the data is used to create class membership probabilities for every attribute for training, and hence, a mass function is created. Finally, D-S rule is applied, and the outcomes suggest th作者: Crumple 時(shí)間: 2025-3-27 16:26
An Automated System for Facial Mask Detection and Social Distancing during COVID-19 Pandemic,e recognition and contact tracing. We used two datasets for training our models. First one to detect masks on faces. For this purpose, we collected the image dataset from GitHub and Kaggle. And, the second dataset was for face recognition in which we took our own images for training purposes. It is 作者: Genome 時(shí)間: 2025-3-27 20:13 作者: 積云 時(shí)間: 2025-3-27 22:11 作者: aviator 時(shí)間: 2025-3-28 05:35 作者: 違法事實(shí) 時(shí)間: 2025-3-28 08:05 作者: 攤位 時(shí)間: 2025-3-28 12:01
Modeling and Forecasting Stock Closing Prices with Hybrid Functional Link Artificial Neural Network), National Association of Securities Dealers Automated Quotations (NASDAQ), Bombay Stock Exchange (BSE), and Hang Seng Index (HSI). Outcomes of result analysis and comparative studies have shown the out-performance of AEFA?+?FLANN-based forecasting.作者: 啜泣 時(shí)間: 2025-3-28 16:31 作者: Provenance 時(shí)間: 2025-3-28 19:44 作者: arbovirus 時(shí)間: 2025-3-29 02:07 作者: Prologue 時(shí)間: 2025-3-29 05:07 作者: ellagic-acid 時(shí)間: 2025-3-29 11:00 作者: obeisance 時(shí)間: 2025-3-29 11:42
Intelligent Computing Systems for Diagnosing Plant Diseases,e plants such as seeds, stems, leaves, fruits, flowers can be used to detect the health of the plants or to identify the diseases on them. This paper specifically focuses on the methods that include plant leaves to detect the disease. The objective of the paper is to comprehend various approaches fo作者: Accomplish 時(shí)間: 2025-3-29 19:37 作者: dendrites 時(shí)間: 2025-3-29 22:08
Early Onset Alzheimer Disease Classification Using Convolution Neural Network, in later stage. The diagnosis of this slow growing disease is difficult as it does not show any symptoms in the early stage. As the deep neural networks have shown its success to process the medical images, the paper uses convolution neural network for early detection of the Alzheimer’s disease usi作者: 殺蟲劑 時(shí)間: 2025-3-30 03:56 作者: GOAD 時(shí)間: 2025-3-30 04:46
,Exploratory Analysis of Kidney Disease Data Set—A Comparative Study,th kidney-related disease was employed. Study explores that random forest is efficient as compared with decision trees. It is recommended that, in the future, random forest methods will be more fruitful in the classification related to the kidney patients.作者: 我說不重要 時(shí)間: 2025-3-30 09:15
Deepfakes for Video Conferencing Using General Adversarial Networks (GANs) and Multilingual Voice Ceen different nations are being conducted on online video conferencing platforms. Hence, a methodology capable of performing real-time end-to-end speech translation has become a necessity. In this paper, we have proposed a complete pipeline methodology, wherein the real-time video conferencing will 作者: synchronous 時(shí)間: 2025-3-30 15:44
Topic Evolution Model for Interactive Information Search,el’ could generate the evolutions related to a topic of user interest and assist in the exploration of patterns. In a generic setting, the proposed ‘topic evolution model’ assist researchers and domain experts for the relevant information extraction on scientific field progress and innovations in te作者: 不再流行 時(shí)間: 2025-3-30 19:55
A Novel Automated Human Face Recognition and Temperature Detection System Using Deep Neural Network system had proved to be fast, built at low-cost, and efficient in user authentication. FRTDS consists of numerous algorithms and techniques that have been implemented to improve the performance of the entire system with the help of Deep Neural Networks. FRTDS can capture images from a video stream 作者: Entrancing 時(shí)間: 2025-3-31 00:27
A Novel BFS and CCDS-Based Efficient Sleep Scheduling Algorithm for WSN,chniques, Breadth First Search (BFS) and Color Connected Dominated Set (CCDS), for reducing energy consumption and delay when the message is broadcasted in WSN. Breadth First Search (BFS) is implemented to find the minimum distance path from a sensor node and reduce the delay in transmitting the mes作者: 滔滔不絕地講 時(shí)間: 2025-3-31 02:21 作者: 絕種 時(shí)間: 2025-3-31 05:54
COVID-19 Time Series Prediction and Lockdown Effectiveness,t was already infected with the disease. Since then, the virus has spread worldwide like wildfire and poses a major threat to the entirety of the human species itself. Coronavirus causes respiratory tract infections that can range from mild to lethal. This paper discusses the use of data analysis an作者: 聽寫 時(shí)間: 2025-3-31 10:48
Performance Evaluation of Electrogastrogram (EGG) Signal Compression for Telemedicine Using Varioustrical activity of the stomach to diagnose stomach illnesses. The EGG signal’s compression is important in the diagnosis, prognosis, and survival analysis of all stomach-related disorders, especially in telemedicine applications where the patient is geographically isolated. Over the years, several s作者: Classify 時(shí)間: 2025-3-31 14:03
The Impact of UV-C Treatment on Fruits and Vegetables for Quality and Shelf Life Improvement Using terials bought from outside are exposed to UV-C rays (254?nm) for a duration of 5–15?min so that fearlessly use them without altering the quality of the goods. The device consists of UVC light installed inside a chamber with calibrated dosage UVC light. The type of UV used for the purpose is Type-3 作者: 休閑 時(shí)間: 2025-3-31 19:36 作者: leniency 時(shí)間: 2025-4-1 00:29
Computational Intelligence in Data Mining978-981-16-9447-9Series ISSN 2190-3018 Series E-ISSN 2190-3026 作者: 察覺 時(shí)間: 2025-4-1 03:52
https://doi.org/10.1007/978-981-99-5253-3th kidney-related disease was employed. Study explores that random forest is efficient as compared with decision trees. It is recommended that, in the future, random forest methods will be more fruitful in the classification related to the kidney patients.作者: GULLY 時(shí)間: 2025-4-1 06:14
https://doi.org/10.1007/978-981-16-9447-9Data Mining; Computational Intelligence; Computation with Modeling; Neural Networks; Nature Inspired Com
