標(biāo)題: Titlebook: Computational Intelligence: Theories, Applications and Future Directions - Volume I; ICCI-2017 Nishchal K. Verma,A. K. Ghosh Conference pro [打印本頁(yè)] 作者: exterminate 時(shí)間: 2025-3-21 19:59
書目名稱Computational Intelligence: Theories, Applications and Future Directions - Volume I影響因子(影響力)
書目名稱Computational Intelligence: Theories, Applications and Future Directions - Volume I影響因子(影響力)學(xué)科排名
書目名稱Computational Intelligence: Theories, Applications and Future Directions - Volume I網(wǎng)絡(luò)公開(kāi)度
書目名稱Computational Intelligence: Theories, Applications and Future Directions - Volume I網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書目名稱Computational Intelligence: Theories, Applications and Future Directions - Volume I被引頻次
書目名稱Computational Intelligence: Theories, Applications and Future Directions - Volume I被引頻次學(xué)科排名
書目名稱Computational Intelligence: Theories, Applications and Future Directions - Volume I年度引用
書目名稱Computational Intelligence: Theories, Applications and Future Directions - Volume I年度引用學(xué)科排名
書目名稱Computational Intelligence: Theories, Applications and Future Directions - Volume I讀者反饋
書目名稱Computational Intelligence: Theories, Applications and Future Directions - Volume I讀者反饋學(xué)科排名
作者: anarchist 時(shí)間: 2025-3-21 23:04 作者: Hemoptysis 時(shí)間: 2025-3-22 01:14 作者: concentrate 時(shí)間: 2025-3-22 05:55
High-Dimensional Data Classification Using PSO and Bat Algorithmf time. However, features minimization is a difficult and challenging task due to large search space. Generally, a 100 features datasets have over . features. Therefore, a search algorithm which converges at global optima in less amount of time is needed to tackle this problem. Hence, a modified bin作者: allergy 時(shí)間: 2025-3-22 08:56
Feature Learning Using Stacked Autoencoder for Shared and Multimodal Fusion of Medical Imagestract features from large training data. The current methods used for multiple modalities are mostly conventional machine learning, in which people use the handcrafted feature, which is very difficult to construct for large training sizes. Deep learning which is an advancement in the machine learnin作者: strain 時(shí)間: 2025-3-22 14:39 作者: strain 時(shí)間: 2025-3-22 19:08
Automatic ECG Signals Recognition Based on Time Domain Features Extraction Using Fiducial Mean Squarffering from heart attacks. There are various pattern recognition for the automatic diagnostics of ECG beat abnormalities. The ECG signals are used to recognize heart-related diseases. The proposed method defines the time domain feature extraction using fiducial mean square algorithm. The Butterwort作者: 六個(gè)才偏離 時(shí)間: 2025-3-23 00:49 作者: Spangle 時(shí)間: 2025-3-23 02:11
Image Processing Methods for Automated Assessment of Sperm DNA Integritynsible for infertility, male infertility constitutes 50% of the cases. Male fertility is largely dependent on sperm quality. Sperm is a specialized cell and the fertilization potential of a sperm cell relies on the integrity of sperm DNA, apart from other factors. A set of seminal analyzes is done i作者: reaching 時(shí)間: 2025-3-23 09:05
Smartphone-Based Ubiquitous Data Sensing and Analysis for Personalized Preventive Care: A Conceptualpreventive care is inevitable. The concept of eHealth is buzzing around for a considerable time but it is not utilized in preventive care. It inspires us to do a literature survey of some of the recent seminal research papers on ubiquitous data sensing and behavioral interventions to promote persona作者: 平息 時(shí)間: 2025-3-23 13:36
Dimensionality Reduction-Based Breast Cancer Classification Using Machine Learning which not only complicates the diagnostic process but also finds difficulty in deriving results. Therefore, computational diagnostic techniques must be introduced with the support of artificial intelligence and machine learning. Breast cancer, being one of the second-leading cause of deaths in wome作者: 誘使 時(shí)間: 2025-3-23 17:51
A New Heuristic for Degree-Constrained Minimum Spanning Tree Problemplete graph in such a way that the degree of each vertex in . should not exceed ., where . is a positive integer. The DCMST is a .-Hard problem for . . 2. This paper presents a new problem-specific heuristic (.DCMST). .DCMST first builds a feasible degree-constrained spanning tree (.) with the help 作者: Infant 時(shí)間: 2025-3-23 21:12 作者: thalamus 時(shí)間: 2025-3-24 00:22
Trajectory Tracking of Quad-Rotor UAV Using Fractional Order , Controllertential to control the systems behavior. The quad-rotor control problem presents a test bed for developing and testing new control design methodologies. Fractional- order controllers are being widely used to achieve the robust performance of nonlinear system. These approaches provides greater flexib作者: Immunization 時(shí)間: 2025-3-24 03:44
Evaluation of Security Metrics for System Security Analysis with which the network security has become more challenging. Even though practically we cannot build a perfect system which is fully secure, we can ensure the security level of the system by quantitatively evaluating it, so that the system can be protected against many attacks. Security evaluation 作者: febrile 時(shí)間: 2025-3-24 06:38 作者: detach 時(shí)間: 2025-3-24 10:57
Strategische Unternehmungsführungblocks of the network are stacked autoencoder for the multiple modalities. The performance of deep learning-based models with and without multimodal fusion and shared learning are compared. The results indicates that the use of multimodal fusion and shared learning help to improve deep learning-based medical image analysis.作者: PALSY 時(shí)間: 2025-3-24 17:12 作者: 偽證 時(shí)間: 2025-3-24 21:57 作者: 機(jī)警 時(shí)間: 2025-3-25 02:05
Feature Learning Using Stacked Autoencoder for Shared and Multimodal Fusion of Medical Imagesblocks of the network are stacked autoencoder for the multiple modalities. The performance of deep learning-based models with and without multimodal fusion and shared learning are compared. The results indicates that the use of multimodal fusion and shared learning help to improve deep learning-based medical image analysis.作者: 聯(lián)想 時(shí)間: 2025-3-25 06:40 作者: 一瞥 時(shí)間: 2025-3-25 11:05
2194-5357 from international researchers.This book presents selected proceedings of ICCI-2017, discussing theories, applications and future directions in the field of computational intelligence (CI). ICCI-2017 brought together international researchers presenting innovative work on self-adaptive systems and 作者: Rodent 時(shí)間: 2025-3-25 12:37 作者: cacophony 時(shí)間: 2025-3-25 18:46 作者: 性學(xué)院 時(shí)間: 2025-3-25 23:00 作者: Tincture 時(shí)間: 2025-3-26 01:08
High-Dimensional Data Classification Using PSO and Bat Algorithmary particle swarm optimization and binary BAT algorithms are proposed for dimensionality reduction while support vector machine is used for classification purpose. Both the approach converges at global optima in less amount of time and is clearly shown in Table?..作者: Antecedent 時(shí)間: 2025-3-26 05:24 作者: Concrete 時(shí)間: 2025-3-26 11:47 作者: 者變 時(shí)間: 2025-3-26 15:36 作者: 我沒(méi)有強(qiáng)迫 時(shí)間: 2025-3-26 20:32
,Personalentwicklung — Ressortübergreifend,stances when the system needs attention. This event-triggered approach is applied to a learning-based incremental PID controller to demonstrate the simplicity in application. Simulation results show the effectiveness of the proposed methodology for trajectory tracking.作者: 懲罰 時(shí)間: 2025-3-27 00:29
https://doi.org/10.1007/978-3-663-07781-7ad-rotor’s dynamic model. The performance of designed fractional-order . approach has been successfully analyzed through simulations of trajectory tracking. The genetic algorithm (GA) has been used to obtain optimal parameters of fractional-order . controller for the desired system specifications.作者: 知識(shí) 時(shí)間: 2025-3-27 03:20
Understanding the HR Strategies of the 1990snalyzed to determine the security metrics, such as steady-state security and mean time to security failure quantitatively. The proposed DTMC technique proves to have improved results using stochastic modeling, which can be used for attack process modeling by dependability evaluation.作者: intrigue 時(shí)間: 2025-3-27 06:56 作者: 謙虛的人 時(shí)間: 2025-3-27 13:22
Event-Triggered Control for Trajectory Tracking by Robotic Manipulatorstances when the system needs attention. This event-triggered approach is applied to a learning-based incremental PID controller to demonstrate the simplicity in application. Simulation results show the effectiveness of the proposed methodology for trajectory tracking.作者: Creatinine-Test 時(shí)間: 2025-3-27 14:38
Trajectory Tracking of Quad-Rotor UAV Using Fractional Order , Controllerad-rotor’s dynamic model. The performance of designed fractional-order . approach has been successfully analyzed through simulations of trajectory tracking. The genetic algorithm (GA) has been used to obtain optimal parameters of fractional-order . controller for the desired system specifications.作者: JECT 時(shí)間: 2025-3-27 21:17 作者: JADED 時(shí)間: 2025-3-27 23:00
Grundzüge einer Strategischen Frühaufkl?rungary particle swarm optimization and binary BAT algorithms are proposed for dimensionality reduction while support vector machine is used for classification purpose. Both the approach converges at global optima in less amount of time and is clearly shown in Table?..作者: Schlemms-Canal 時(shí)間: 2025-3-28 05:04 作者: 出血 時(shí)間: 2025-3-28 08:27 作者: 是比賽 時(shí)間: 2025-3-28 13:22 作者: locus-ceruleus 時(shí)間: 2025-3-28 17:00 作者: 辭職 時(shí)間: 2025-3-28 21:05
H. I. Ansoff,R. P. Declerck,R. L. Hayesanisms comprised of Escherichia coli MG1655 and Streptococcus sanguinis SK36 and another classifier based on PCR method were implemented. The performance of the model based on principal component regression (PCR) method for both set of target organisms resulted in lower AUC values. It shows that the作者: Asparagus 時(shí)間: 2025-3-28 23:52 作者: 昏迷狀態(tài) 時(shí)間: 2025-3-29 06:23
https://doi.org/10.1007/978-3-8350-9234-1NNs) with training input size of 15?×?15 and 50?×?50. The result of the study shows that deep learning using CNN is able to detect the melanoma lesion efficiently. The best performance has been achieved using CNN with 15?×?15 training input size. The performances obtained using this network is Jacca作者: 熱烈的歡迎 時(shí)間: 2025-3-29 08:01
https://doi.org/10.1007/978-3-8350-9234-1to segment and separate the core and halo parts of the sperm cell. Using centroid-based measures, the difference in diameters between the core and halo parts were calculated. Based on the range of diameter differences, assessment was made on the number of sperm cells with small halo, medium halo, bi作者: 神經(jīng) 時(shí)間: 2025-3-29 13:53 作者: 一起平行 時(shí)間: 2025-3-29 16:40
A New Computational Approach to Identify Essential Genes in Bacterial Organisms Using Machine Learnianisms comprised of Escherichia coli MG1655 and Streptococcus sanguinis SK36 and another classifier based on PCR method were implemented. The performance of the model based on principal component regression (PCR) method for both set of target organisms resulted in lower AUC values. It shows that the作者: 發(fā)生 時(shí)間: 2025-3-29 20:56
Automatic ECG Signals Recognition Based on Time Domain Features Extraction Using Fiducial Mean Square intervals between the peaks are calibrated and computed by fiducial mean features and (ii) Computation of QRS detection, intervals of QRS, and R-peak amplitude. The procedure of feature extraction of database is also applied on test ECG signals. The Euclidean distance is used to compare database a作者: PAC 時(shí)間: 2025-3-30 01:18
Segmentation and Border Detection of Melanoma Lesions Using Convolutional Neural Network and SVMNNs) with training input size of 15?×?15 and 50?×?50. The result of the study shows that deep learning using CNN is able to detect the melanoma lesion efficiently. The best performance has been achieved using CNN with 15?×?15 training input size. The performances obtained using this network is Jacca作者: 細(xì)節(jié) 時(shí)間: 2025-3-30 04:49 作者: CANE 時(shí)間: 2025-3-30 10:44
Computational Intelligence: Theories, Applications and Future Directions - Volume I978-981-13-1132-1Series ISSN 2194-5357 Series E-ISSN 2194-5365 作者: EVADE 時(shí)間: 2025-3-30 13:49 作者: innate 時(shí)間: 2025-3-30 16:54
Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/c/image/232563.jpg作者: malign 時(shí)間: 2025-3-31 00:05
https://doi.org/10.1007/978-981-13-1132-1Big Data and Knowledge Discovery; Data Mining and Visualization; Computer Vision; Image Processing and 作者: 形狀 時(shí)間: 2025-3-31 01:38
978-981-13-1131-4Springer Nature Singapore Pte Ltd. 2019作者: intelligible 時(shí)間: 2025-3-31 05:02
