標題: Titlebook: Evolution in Computational Intelligence; Proceedings of the 1 Vikrant Bhateja,Xin-She Yang,Ranjita Das Conference proceedings 2023 The Edit [打印本頁] 作者: VERSE 時間: 2025-3-21 18:55
書目名稱Evolution in Computational Intelligence影響因子(影響力)
書目名稱Evolution in Computational Intelligence影響因子(影響力)學科排名
書目名稱Evolution in Computational Intelligence網絡公開度
書目名稱Evolution in Computational Intelligence網絡公開度學科排名
書目名稱Evolution in Computational Intelligence被引頻次
書目名稱Evolution in Computational Intelligence被引頻次學科排名
書目名稱Evolution in Computational Intelligence年度引用
書目名稱Evolution in Computational Intelligence年度引用學科排名
書目名稱Evolution in Computational Intelligence讀者反饋
書目名稱Evolution in Computational Intelligence讀者反饋學科排名
作者: LANCE 時間: 2025-3-21 23:31
,Localization and?Classification of?Thoracic Abnormalities from?Chest Radiographs Using Deep Ensembldes two pipelines and an ensemble method. In the first pipeline, YOLOv5 and EfficientNet are used. In second pipeline, the Faster R-CNN model is used. Through the Weighted box fusion method, the fused predictions are created from pipeline results. The final detection results illustrate confidence sc作者: 僵硬 時間: 2025-3-22 02:09
,Brain Tumor Prediction from?MRI Images Using an?Ensemble Model Based on?EfficientNet-B2, B4, and?Re four types of MRI images, i.e., (i) Inversion Recovery with Fluid Attenuation, (ii) T1-weighted pre-contrast, (iii) T1-weighted post-contrast, and (iv) T2-weighted. Proposed deep ensembled network has demonstrated satisfactory performance and efficiency on the dataset.作者: 充足 時間: 2025-3-22 07:50 作者: 光亮 時間: 2025-3-22 11:11 作者: enlist 時間: 2025-3-22 13:55 作者: enlist 時間: 2025-3-22 19:12
,An Approach of?Hate Speech Identification on?Twitter Corpus,s a need for integrated datasets and the hate speech prediction method. This paper describes the study on hate speech and offensive content identification in English language by using the various approaches based on machine learning algorithms (Support vector machine, decision tree, and so on) and N作者: 博識 時間: 2025-3-22 22:56 作者: radiograph 時間: 2025-3-23 02:59 作者: 諄諄教誨 時間: 2025-3-23 08:02 作者: Nucleate 時間: 2025-3-23 13:32
,Prediction of?Air Quality Using Machine Learning,These experiments successfully resolve limitations like data instability, overfitting, and multicollinearity. RFR, XGBoost, and ANN perform better and help to resolve air prediction issues, and specifically, ANN outperforms all. Results and discussion of this paper provide a holistic view of methods作者: Anthem 時間: 2025-3-23 16:03 作者: 紋章 時間: 2025-3-23 19:30 作者: 包庇 時間: 2025-3-24 00:32
Romy Escher,Melanie Walter-Roggdes two pipelines and an ensemble method. In the first pipeline, YOLOv5 and EfficientNet are used. In second pipeline, the Faster R-CNN model is used. Through the Weighted box fusion method, the fused predictions are created from pipeline results. The final detection results illustrate confidence sc作者: 釋放 時間: 2025-3-24 03:39 作者: 勉勵 時間: 2025-3-24 07:22
Environmental Philosophy of Buddhism,is tested on MURA dataset, a large public dataset provided by Stanford ML Group. Our model achieved a cohen’s kappa score 0.739 with precision of 0.885 and recall of 0.854, which is higher than many existing approaches such as densenet169 and ensemble200 model.作者: 有幫助 時間: 2025-3-24 14:19 作者: thyroid-hormone 時間: 2025-3-24 18:28
Gottfried Grabner,Claire Richard methods for Indian vehicle number plates. While the usage of deep learning models for generation of training data has been reported with success, it further limits the interpretability of the overall solution by adding another deep neural network in the ANPR system pipeline (Linardatos et al. in En作者: 白楊魚 時間: 2025-3-24 20:22 作者: 孵卵器 時間: 2025-3-25 02:59 作者: AMBI 時間: 2025-3-25 06:04 作者: 灰心喪氣 時間: 2025-3-25 10:34
Discounting Benefits and Costs Over Time, own subreddit. Moreover, Reddit is one of the world‘s most prominent social networking websites. This makes it appropriate for our needs because it has a large number of user comments, which we can simply retrieve using the easy to use Pushshift API. The acquired comments data was then cleaned and 作者: 吸引人的花招 時間: 2025-3-25 13:48
https://doi.org/10.1007/978-3-540-73748-3These experiments successfully resolve limitations like data instability, overfitting, and multicollinearity. RFR, XGBoost, and ANN perform better and help to resolve air prediction issues, and specifically, ANN outperforms all. Results and discussion of this paper provide a holistic view of methods作者: patriarch 時間: 2025-3-25 19:36
Environmental Policy and Governance in Chinarformances are compared with established bio-inspired optimization algorithms available in literature. Performance analyzes reveal the developed C-19BOA which is at par with the established optimization algorithms in terms of minimization of benchmark functions and convergence to optimal values.作者: 膽小鬼 時間: 2025-3-25 23:52 作者: dysphagia 時間: 2025-3-26 03:10
Introduction: Environmental Participation,the motion characteristics and recognize the characters on the tire tread. The experimental findings suggest that after enhancing the input data, the training process of digital characters may be identified with high accuracy.作者: minimal 時間: 2025-3-26 04:30 作者: 煩躁的女人 時間: 2025-3-26 10:41 作者: gerrymander 時間: 2025-3-26 15:26
SIFT Application Separates Motion Characteristics and Identifies Symbols on Tires,the motion characteristics and recognize the characters on the tire tread. The experimental findings suggest that after enhancing the input data, the training process of digital characters may be identified with high accuracy.作者: Stress 時間: 2025-3-26 16:48 作者: DEI 時間: 2025-3-26 23:26
Streamflow Forecasting Using Novel ANFIS-GWO Approach,del for forecasting the streamflow in Mahanadi River, India. To assess the efficacy of our suggested model WI, NSE and MSE were used and it is found that ANFIS-GWO model outperforms than ANFIS model in streamflow forecasting.作者: CRUDE 時間: 2025-3-27 04:43 作者: biopsy 時間: 2025-3-27 07:33
Surface-Modified Photocatalysts, have poor generality, and none of them provides a rationale for their results. We propose an explainable AI model that not only classifies spoof and live faces but also explains why they are different using mid-level features. Our proposed end-to-end face anti-spoofing network extracts the depth map and classifies the face input.作者: 多樣 時間: 2025-3-27 10:38 作者: pulmonary 時間: 2025-3-27 16:23 作者: 個阿姨勾引你 時間: 2025-3-27 20:53 作者: Terminal 時間: 2025-3-27 23:02 作者: FILLY 時間: 2025-3-28 02:22 作者: 沉思的魚 時間: 2025-3-28 07:56 作者: conduct 時間: 2025-3-28 13:38
A Survey on Medical Image Analysis Using Deep Learning,n. Thus computer technologies are extensively used to help give out a proper diagnosis. In this paper, we are providing a vivid discussion of three such research works where deep learning, especially convolutional neural network (CNN) is used for accurate detection of Alzheimer’s Disease.作者: 離開 時間: 2025-3-28 16:30 作者: 易發(fā)怒 時間: 2025-3-28 20:46
Conference proceedings 2023eld at NIT Mizoram, Aizawl, Mizoram, India during 18 – 19 June 2022. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. These proceeding作者: Anterior 時間: 2025-3-29 01:58 作者: DOLT 時間: 2025-3-29 06:26
Smart Innovation, Systems and Technologieshttp://image.papertrans.cn/e/image/317698.jpg作者: crutch 時間: 2025-3-29 07:45
978-981-19-7515-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: 神圣將軍 時間: 2025-3-29 11:35 作者: 率直 時間: 2025-3-29 15:39 作者: 噱頭 時間: 2025-3-29 22:28
Introduction: Environmental Participation,ant feature transformations (SIFT) to features obtained from convolutional neural networks (CNNs). Existing image-based CNN features, which are taken directly from the entire picture, are not adequate for identifying small areas of overlap. These will have an impact on the performance of partial dup作者: 遺忘 時間: 2025-3-30 00:48 作者: 舞蹈編排 時間: 2025-3-30 07:47 作者: 相信 時間: 2025-3-30 11:13 作者: 平庸的人或物 時間: 2025-3-30 12:30 作者: Fallibility 時間: 2025-3-30 16:49 作者: 清澈 時間: 2025-3-31 00:12
Environmental Philosophy of Buddhism, is the second most cause of physical disability. Musculoskeletal disability worsens over time and can result in long-term discomfort and severe disability. As a result, early detection and diagnosis of these anomalies is essential. But the diagnosis process is very time consuming, error prone and r作者: 蠟燭 時間: 2025-3-31 03:38
Claire Richard,Gottfried GrabnerEbola virus, covid, etc. There are various genome sequencing techniques available for detecting the mutations and for sequencing a gene including whole-genome sequencing methods. There are also various deep learning techniques like mutations identification and disease classification. Mutation detect作者: headway 時間: 2025-3-31 07:57 作者: 遺傳 時間: 2025-3-31 10:45
Surface-Modified Photocatalysts,tal cameras everywhere, making a face recognition-based digital identity system much more viable. The face is vulnerable to spoofing attacks because it is the most accessible and commonly used biometric information among all biometric modalities. Most deep learning-based face anti-spoofing solutions作者: Habituate 時間: 2025-3-31 17:23 作者: 苦笑 時間: 2025-3-31 21:06 作者: CLEAR 時間: 2025-3-31 22:56
Definitions and Fundamental Conceptsritical for hydropower generation, flood management, and agricultural planning. Due to the sheer importance of streamflow forecasting, in this study the Grey Wolf optimization algorithm (GWO) is used to optimize the Adaptive Neuro-Fuzzy Inference System (ANFIS), and the model performance is compared作者: esculent 時間: 2025-4-1 03:16 作者: 要求比…更好 時間: 2025-4-1 09:28 作者: 現任者 時間: 2025-4-1 11:58
Discounting Benefits and Costs Over Time,a variety of subjects, including psychology and sociology. The goal was to provide insight into various observations made during our analysis. For this, we used Reddit comments as a reference point and data analytics to obtain various results. Our contributions to this paper are to grasp the concept作者: 粗鄙的人 時間: 2025-4-1 15:51
Environmental Taxes: Analytical Frameworkmechanisms for easier retrieval. One of the primal attributes for categorizing texts is based on their domain. This is a challenging affair due to the commonality of vocabulary. The challenge further aggravates during deeper sub-domain classification. This very important as the rustics (especially s作者: 不真 時間: 2025-4-1 20:07 作者: 柔美流暢 時間: 2025-4-1 23:34
