標(biāo)題: Titlebook: Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications; Nguyen Hoang Phuong,Nguyen Thi Huyen Chau,Vladi [打印本頁(yè)] 作者: culinary 時(shí)間: 2025-3-21 18:54
書目名稱Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications影響因子(影響力)
書目名稱Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications影響因子(影響力)學(xué)科排名
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書目名稱Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications被引頻次
書目名稱Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications被引頻次學(xué)科排名
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書目名稱Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications年度引用學(xué)科排名
書目名稱Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications讀者反饋
書目名稱Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications讀者反饋學(xué)科排名
作者: 叢林 時(shí)間: 2025-3-21 22:12 作者: 邊緣 時(shí)間: 2025-3-22 00:54 作者: Flatter 時(shí)間: 2025-3-22 05:41
,Promoting STEM-Integrated Learning Through Engineering Design: High School Students’ Automatic Handg during manufacturing; product presentation and completion. In this article, we offer the technical design process of the automatic hand washing machine model. We experimented with two classes, including 70 students at An Khanh High School, Can Tho, Vietnam, and the performance evaluation of activi作者: 弄污 時(shí)間: 2025-3-22 10:29
A Classification System of Mammograms Based on Convolutional Neural Networks,an AUC of 0.89758. On the other hand, our proposed model achieves results which is higher than the results of a classification system applied to the model ResNet 50 for classifying breast cancer X-ray images into BI-RADS 045, BI-RADS 1, BI-RADS 23 categories which achieves a macAUC of 0.754, an aver作者: falsehood 時(shí)間: 2025-3-22 14:15
OAGRE: Outlier Attenuated Gradient Boosted Regression,oach provides value in approx 30% of these synthetic datasets with an average improvement of between 7 and 12% lower root mean squared error. Based on these results we recommend?the inclusion of the OAGRE method when testing algorithms on data with suspected heteroscedasticity issues.作者: 謊言 時(shí)間: 2025-3-22 19:12 作者: 吃掉 時(shí)間: 2025-3-23 00:24
Data Processing and Feature Engineering for Stock Price Trend Prediction,s that improved prediction results by 9–20% over conventional feature generation methods. Our results are also of 2–11% better than those of some related studies on the same topic. Lastly, our data processing method achieved an accuracy of 75–80% in predicting results for the subsequent 6 months.作者: 輕觸 時(shí)間: 2025-3-23 02:10
Book 2024ide effects. Because of this, we cannot apply untested methods to patients, and we first need to test these methods on other less critical applications. Several book chapters describe such applications—whose success paves the way for these methods to be used in biomedical situations. These applicati作者: intuition 時(shí)間: 2025-3-23 09:17 作者: 有常識(shí) 時(shí)間: 2025-3-23 11:34 作者: 舊石器 時(shí)間: 2025-3-23 17:48 作者: 替代品 時(shí)間: 2025-3-23 21:43 作者: 極微小 時(shí)間: 2025-3-23 23:05 作者: critic 時(shí)間: 2025-3-24 03:56 作者: 中國(guó)紀(jì)念碑 時(shí)間: 2025-3-24 07:53 作者: constitutional 時(shí)間: 2025-3-24 13:47
Victor L. Timchenko,Yuriy P. Kondratenko,Olga Kosheleva,Vladik Kreinovich,Nguyen Hoang Phuonge the possibility of several security risks. Here we address secure data access control by introducing a declarative policy layer implementable using Ciphertext-Policy Attribute-Based Encryption (CP-ABE). Finally, we tackle the interoperability challenge at the application layer by connecting EdgeX 作者: 鬧劇 時(shí)間: 2025-3-24 16:58 作者: Contort 時(shí)間: 2025-3-24 21:33 作者: 可耕種 時(shí)間: 2025-3-25 00:58 作者: Instrumental 時(shí)間: 2025-3-25 07:10
Moritz Grob,Andrea Rappelsberger,Klaus-Peter Adlassnigues and approach for engineering information systems that deal with many of these problem areas. However, there are currently few software systems that are capable of supporting OODA. In this talk, we provide a tour of the research issues and state of the art solutions for supporting OODA. In additi作者: 天文臺(tái) 時(shí)間: 2025-3-25 10:39 作者: Meander 時(shí)間: 2025-3-25 14:53 作者: NADIR 時(shí)間: 2025-3-25 19:13
Hai Thanh Nguyen,Dat Tien Nguyen,Thien Thanh Tran,Huu-Hoa Nguyen,Nguyen Thai-Nghetiple sensors and devices. In this article, we investigate the design and implementation of such services and define a new approach that combines coordination model and reinforcement learning, in order to ensure reliable services and expected quality of services (QoS), namely convergence of composit作者: Detain 時(shí)間: 2025-3-25 20:23 作者: Expostulate 時(shí)間: 2025-3-26 02:23 作者: neologism 時(shí)間: 2025-3-26 05:37 作者: MERIT 時(shí)間: 2025-3-26 09:01
Nguyen Thi Huyen Chau,Trung Phong Doanl systems engineering. .Part IV, Industrial Practice: runtime verificationfrom the theory to the industry practice; formal methods in industrial practice - bridging the gap; reliable smart contracts: state-of-the-art, applications, challenges and future directions; and industrial day.?.作者: Estimable 時(shí)間: 2025-3-26 15:50 作者: evaculate 時(shí)間: 2025-3-26 18:42 作者: myriad 時(shí)間: 2025-3-26 22:52 作者: 悲觀 時(shí)間: 2025-3-27 04:07
,Fake Face Detection with?Separable Convolutions,n, to perform fake face detection in images. The study is carried out on datasets of about 20,000 images with deep learning techniques. Experimental results reveal that separable convolution-based architectures have performed best and better than some previous studies.作者: committed 時(shí)間: 2025-3-27 07:39 作者: FICE 時(shí)間: 2025-3-27 13:09 作者: Detonate 時(shí)間: 2025-3-27 16:45 作者: Inclement 時(shí)間: 2025-3-27 18:12 作者: 懸掛 時(shí)間: 2025-3-27 22:19
,Towards a?Psychologically Natural Relation Between Colors and?Fuzzy Degrees,ning: this data comes from words from natural language. It is desirable to preserve this naturalness as much as possible. In particular, it is desirable to come up with a natural relation between colors and fuzzy degrees. In this paper, we show that there is exactly one such natural relation, and we describe this relation.作者: FUSE 時(shí)間: 2025-3-28 05:47
Cognitive States Prediction with KNN and TomekLinks,est neighbors for classification of the electroencephalogram signals. The underlying cognitive states of pilots can be detected from integration of these techniques that include also data pre-processing and dimensionality reduction. Results of experiments for a benchmark database are reported with improved performance.作者: AGGER 時(shí)間: 2025-3-28 08:34 作者: 輕信 時(shí)間: 2025-3-28 12:33 作者: 結(jié)構(gòu) 時(shí)間: 2025-3-28 14:35 作者: 過(guò)剩 時(shí)間: 2025-3-28 20:54
,How to?Best Retrain a?Neural Network if?We Added One More Input Variable,re-training will take a lot of time, almost as much as the original training. In this paper, we show, both theoretically and experimentally, that in such situations, we can speed up re-training—practically without decreasing resulting accuracy—if we only update some weights.作者: 乞丐 時(shí)間: 2025-3-29 00:57 作者: 凹室 時(shí)間: 2025-3-29 04:29 作者: POWER 時(shí)間: 2025-3-29 10:19
,Why Bump Reward Function Works Well in?Training Insulin Delivery Systems,situations and regulate blood glucose level, patients with severe form of diabetes need insulin injections. Ideally, the system should automatically decide when best to inject insulin and how much to inject. To find the optimal control, researchers applied machine learning with different reward func作者: accrete 時(shí)間: 2025-3-29 14:42 作者: 思想靈活 時(shí)間: 2025-3-29 16:20
,How to?Best Retrain a?Neural Network if?We Added One More Input Variable,values of an additional quantity that have some influence on .. In such situations, it is desirable to re-train the neural network, so that it will be able to take this extra value into account. A straightforward idea is to add a new input to the first layer and to update all the weights based on th作者: Interferons 時(shí)間: 2025-3-29 22:45
,Towards a?Psychologically Natural Relation Between Colors and?Fuzzy Degrees,ium: light. Light consists of components of different color. So, if we use optical color computations to process fuzzy data, we need to associate fuzzy degrees with colors. One of the main features—and of the main advantages—of fuzzy technique is that the corresponding data has intuitive natural mea作者: opportune 時(shí)間: 2025-3-30 00:19 作者: ASSET 時(shí)間: 2025-3-30 07:50 作者: famine 時(shí)間: 2025-3-30 10:38
Cognitive States Prediction with KNN and TomekLinks,e are a number of methods available for the cognitive states prediction. However imbalance in data is ultimately the challenge impacting the analysis performance. Here we use condensed nearest neighbors under-sampling technique to recover the class balance of training data before implementing k-near作者: 下級(jí) 時(shí)間: 2025-3-30 13:24 作者: champaign 時(shí)間: 2025-3-30 19:51 作者: Misnomer 時(shí)間: 2025-3-30 22:39 作者: Commentary 時(shí)間: 2025-3-31 00:59 作者: 信任 時(shí)間: 2025-3-31 06:46
,Fake Face Detection with?Separable Convolutions, a fake face embedded into an image can be perilous because it can deceive and mislead people, leading to false identification, impersonation, and even fraudulent activities. However, with great support from information technology, such fake images can be easily created by embedding and retouching t作者: Angiogenesis 時(shí)間: 2025-3-31 09:38
A Classification System of Mammograms Based on Convolutional Neural Networks,nto three classes of Normal, Benign, and Malignant by increasing the training set. For training convolutional neural network models, we use 15,040 Vietnamese mammograms, which were collected and annotated by the radiologists of the Vietnam National Cancer Hospital. Our experiment was conducted with 作者: Anemia 時(shí)間: 2025-3-31 15:52 作者: 首創(chuàng)精神 時(shí)間: 2025-3-31 20:53 作者: ALOFT 時(shí)間: 2025-4-1 00:28
Data Processing and Feature Engineering for Stock Price Trend Prediction,g stock prices using machine learning techniques and data mining has become a research topic that has captured the attention of the scientific community. Stock price prediction could greatly facilitate the investors’ appropriate decisions, improves profitability and hence decreases possible losses. 作者: Constrain 時(shí)間: 2025-4-1 04:21
Distributed Computing in Training Machine Learning Models,However, the demand for high-performance hardware resources is becoming a barrier to entry for the AI development market. Also, minimizing model training time to deploy systems sooner is a challenge when dealing with large datasets. To address these issues, distributed computing methods have been pr作者: 神化怪物 時(shí)間: 2025-4-1 07:48
