標(biāo)題: Titlebook: Cognitive Computing and Cyber Physical Systems; 4th EAI Internationa Prakash Pareek,Nishu Gupta,M. J. C. S. Reis Conference proceedings 202 [打印本頁] 作者: 補給線 時間: 2025-3-21 16:04
書目名稱Cognitive Computing and Cyber Physical Systems影響因子(影響力)
書目名稱Cognitive Computing and Cyber Physical Systems影響因子(影響力)學(xué)科排名
書目名稱Cognitive Computing and Cyber Physical Systems網(wǎng)絡(luò)公開度
書目名稱Cognitive Computing and Cyber Physical Systems網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Cognitive Computing and Cyber Physical Systems被引頻次
書目名稱Cognitive Computing and Cyber Physical Systems被引頻次學(xué)科排名
書目名稱Cognitive Computing and Cyber Physical Systems年度引用
書目名稱Cognitive Computing and Cyber Physical Systems年度引用學(xué)科排名
書目名稱Cognitive Computing and Cyber Physical Systems讀者反饋
書目名稱Cognitive Computing and Cyber Physical Systems讀者反饋學(xué)科排名
作者: Pepsin 時間: 2025-3-21 22:00 作者: 低三下四之人 時間: 2025-3-22 01:43 作者: 萬花筒 時間: 2025-3-22 06:31 作者: eustachian-tube 時間: 2025-3-22 10:23
https://doi.org/10.1007/978-3-031-43807-3e biggest causes of death world wide. Machine learning (ML) and Deep learning (DL) methodologies have produced promising outcomes. In particular, ensemble DL models have gained attention for their ability in order to capitalize on the advantages of many models to enhance predictive performance. This作者: 柳樹；枯黃 時間: 2025-3-22 16:28 作者: 柳樹；枯黃 時間: 2025-3-22 18:13
https://doi.org/10.1007/978-3-031-43759-5ificant public health issue. From asymptomatic to severely symptomatic illnesses that might cause patient mortality, pathological features range. The most common presenting symptom of SCD is vasooclussive crisis (VOC). The red cell membrane of the Sickle Red Blood Cells (SRBCs) is damaged by repeate作者: 松軟 時間: 2025-3-23 00:00 作者: Infantry 時間: 2025-3-23 02:18 作者: NICE 時間: 2025-3-23 09:05
,The God with the Horse’s Head,ctives and viewpoints through various online platforms such as blogs and social media. Consequently, the internet has become inundated with a vast array of both pertinent and extraneous information, presenting a formidable challenge in sifting through the abundance of content to extract the desired 作者: 食品室 時間: 2025-3-23 12:21
Lucky Asuelime,Suzanne Francis,Joseph Yarotwo distinct approaches, Recurrent Neural Networks (RNNs) and Cellular Automata (CA), for recommending drugs based on sentiment analysis of user reviews..Recurrent Neural Networks (RNNs) have emerged as a powerful tool for analyz ing sequential data. In the context of sentiment analysis, RNNs excel 作者: chronology 時間: 2025-3-23 15:35 作者: chandel 時間: 2025-3-23 19:46 作者: 挖掘 時間: 2025-3-24 02:08
Selected Themes in African Political Studiesthese herbs. These medicines prepared from the herbs having less side effects as compared to other general medicines. Most of the patients and general medicine users with different diseases are not unaware of the existence of herbal plants and their medical uses and benefits. To make ease of identif作者: 欺騙世家 時間: 2025-3-24 03:06 作者: RECUR 時間: 2025-3-24 07:07
Selected Themes in African Political Studieswn as drowsy driving. To categorize sleepiness signs like breathing and squinting deep learning has been used in this study. Yolo design training was done using example pictures. To categorize sleepiness signs like blinking and breathing, this study employs the Convolutional Neural Network (CNN). Th作者: 協(xié)議 時間: 2025-3-24 12:44 作者: SMART 時間: 2025-3-24 14:58 作者: 苦澀 時間: 2025-3-24 20:19 作者: 使服水土 時間: 2025-3-24 23:19 作者: 保留 時間: 2025-3-25 04:59 作者: BLUSH 時間: 2025-3-25 08:18 作者: MODE 時間: 2025-3-25 12:53 作者: CURT 時間: 2025-3-25 19:29
https://doi.org/10.1007/978-3-031-43744-1 discriminative features for classification. Next, it employs variants of ensemble machine learning techniques to perform multi-class classification. We utilize popular ensemble methods such as Boosted Trees, Bagged Trees, RUSBoosted Trees and Optimized Ensemble to improve the accuracy and optimizat作者: FLAGR 時間: 2025-3-25 22:45 作者: 壯觀的游行 時間: 2025-3-26 03:30
https://doi.org/10.1007/978-3-031-43807-3ion metrics. The findings highlight the effectiveness of cardiovascular disease ensemble DL models prediction, showcasing their potential for enhancing diagnostic accuracy in clinical settings and aiding healthcare professionals in making informed decisions for patient care.作者: Campaign 時間: 2025-3-26 05:00 作者: 事情 時間: 2025-3-26 12:24
https://doi.org/10.1007/978-3-031-43759-5chronic hemolytic anemia, and capillary blockage causes tissue hypoxia and subsequent organ damage. So, it is important to monitor patients suffering from sickle cells..Here we have used machine learning to visualize those patients and categorize them according to their hemoglobin level, percentage 作者: 厭惡 時間: 2025-3-26 13:42
Selected Studies in Indonesian Archaeologyen enhanced flower pollination allocate the optimized resources for the demanded request. The comparison of the proposed model is done with simulation results of MOROT and neural network model and also implemented on GoCS real dataset of google. The proposed model gives better results when compared 作者: Hyperplasia 時間: 2025-3-26 19:48
,The God with the Horse’s Head,ax and micro-blogging sites such as Twitter. We can use these kinds of datasets to provides the aspect level sentiment analysis. Therefore, we have explored, in this article, a language model built upon a pretrained deep neural networks capable of analyzing the sequence of text to classify it as hav作者: famine 時間: 2025-3-27 00:14 作者: 不在灌木叢中 時間: 2025-3-27 02:54 作者: 內(nèi)疚 時間: 2025-3-27 06:24
Selected Themes in African Political Studiesl performance of this architecture is checked using accuracy measure and it is observed that three models with freeze layers were showing good performance. Out of these three architectures, Resnet-50 shown accuracy of 95.33%.作者: Abutment 時間: 2025-3-27 12:11 作者: 反對 時間: 2025-3-27 17:06 作者: electrolyte 時間: 2025-3-27 19:12 作者: 不給啤 時間: 2025-3-27 23:21 作者: 成份 時間: 2025-3-28 03:07
Enhancing Heart Disease Prediction Through a Heterogeneous Ensemble DL Modelsion metrics. The findings highlight the effectiveness of cardiovascular disease ensemble DL models prediction, showcasing their potential for enhancing diagnostic accuracy in clinical settings and aiding healthcare professionals in making informed decisions for patient care.作者: Encumber 時間: 2025-3-28 08:53
IoT-Based Pesticide Detection in?Fruits and?Vegetables Using Hyperspectral Imaging and?Deep Learningfer Learning (few-shot learning). This paper proposes an architecture and algorithm based on HSI and few-shot learning. Future studies are needed in this area to convert an RGB image to a spectral image because the HSI device is very expensive.作者: 動機(jī) 時間: 2025-3-28 13:14
Statistical Analysis of Hematological Parameters for Prediction of Sickle Cell Diseasechronic hemolytic anemia, and capillary blockage causes tissue hypoxia and subsequent organ damage. So, it is important to monitor patients suffering from sickle cells..Here we have used machine learning to visualize those patients and categorize them according to their hemoglobin level, percentage 作者: PHON 時間: 2025-3-28 16:33
DRL Based Multi-objective Resource Optimization Technique in a Multi-cloud Environmenten enhanced flower pollination allocate the optimized resources for the demanded request. The comparison of the proposed model is done with simulation results of MOROT and neural network model and also implemented on GoCS real dataset of google. The proposed model gives better results when compared 作者: 完全 時間: 2025-3-28 19:52
Aspect Level Sentiment Analysis to Extract Valuable Insight for Airline’s Customer Feedback and Reviax and micro-blogging sites such as Twitter. We can use these kinds of datasets to provides the aspect level sentiment analysis. Therefore, we have explored, in this article, a language model built upon a pretrained deep neural networks capable of analyzing the sequence of text to classify it as hav作者: 填滿 時間: 2025-3-28 23:45 作者: 狂熱語言 時間: 2025-3-29 04:28
Estimation of Power Consumption Prediction of Electricity Using Machine Learningtionally present the state-of-the-art programming apparatuses that award power assessment standards, along with two use cases that reinforce the request of energy fatigue in ML. Toward the end, we anticipate the future energy which is so useful to the matrix to make exact energy for the network by r作者: miscreant 時間: 2025-3-29 09:06
Medical Plants Identification Using Leaves Based on Convolutional Neural Networksl performance of this architecture is checked using accuracy measure and it is observed that three models with freeze layers were showing good performance. Out of these three architectures, Resnet-50 shown accuracy of 95.33%.作者: 袖章 時間: 2025-3-29 13:02
Maixdock Based Driver Drowsiness Detection System Using CNN. Facial characteristics, such as gaping, and ocular metrics, such as eye-closing, are the areas of concern used here. In this study, additional variables like camera distance from the vehicle and illumination effects are examined. These variables have the potential to influence the rate of categori作者: Tortuous 時間: 2025-3-29 16:13 作者: 左右連貫 時間: 2025-3-29 23:26
An Optimized Ensemble Machine Learning Framework for Multi-class Classification of Date Fruits by In for quality control, sorting, and grading processes in the food industry. However, the classification of date fruits poses several challenges due to variations in their external visible physical attributes and the presence of multiple cultivars. To address the issue of high-dimensional feature spac作者: noxious 時間: 2025-3-30 02:02
Harmonizing Insights: Python-Based Data Analysis of Spotify’s Musical Tapestrys the popularity index, identify key attributes of popular songs, and develop a model for predicting song popularity based on current characteristics. The analysis involves data cleaning, exploratory data analysis, and visualization using Python libraries. With over 381 million monthly active users,作者: FRAX-tool 時間: 2025-3-30 04:38
Comparative Study of Predicting Stock Index Using Deep Learning Modelsodels, and more recent machine learning and artificial intelligence approaches. Recently, neural networks have been incorporated into the forecasting scenario, such as the LSTM and conventional RNN approaches, which utilize short-term and long-term dependencies. This study evaluates traditional fore作者: cumber 時間: 2025-3-30 08:32 作者: 徹底明白 時間: 2025-3-30 15:00
IoT-Based Pesticide Detection in?Fruits and?Vegetables Using Hyperspectral Imaging and?Deep Learningutrients. Today in most crops during their growth and post-harvesting preservation different kinds of pesticides were used. Normal usage of such pesticides not that much affects health. But the actual situation is beyond our control. From soil preparation to the post-harvesting stage, pesticides are作者: 教唆 時間: 2025-3-30 17:49 作者: Panacea 時間: 2025-3-30 23:05 作者: alleviate 時間: 2025-3-31 02:57 作者: Feigned 時間: 2025-3-31 05:51 作者: Adrenaline 時間: 2025-3-31 12:12
Drug Recommendations Using a Reviews and Sentiment Analysis by RNNtwo distinct approaches, Recurrent Neural Networks (RNNs) and Cellular Automata (CA), for recommending drugs based on sentiment analysis of user reviews..Recurrent Neural Networks (RNNs) have emerged as a powerful tool for analyz ing sequential data. In the context of sentiment analysis, RNNs excel 作者: 不能約 時間: 2025-3-31 14:12
Optimizing Real Estate Prediction - A Comparative Analysis of Ensemble and Regression Models use to which they are put. This value is influenced by the demand and supply for the product or service produced on the property. Valuation involves determining the specific amount for which a property would transact on a given date. Accurate prediction of real estate prices is crucial for investor作者: committed 時間: 2025-3-31 19:12
Estimation of Power Consumption Prediction of Electricity Using Machine Learningn ML is arising, a large portion of the trial and error is still essentially centered around getting raised degrees of precision with no computational limitations. We accept that one of the reasons for this deficiency of interest is because of their shortfall of straightforwardness with admittance t
