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標(biāo)題: Titlebook: Applications of Artificial Intelligence in Engineering; Proceedings of First Xiao-Zhi Gao,Rajesh Kumar,Bhanu Pratap Soni Conference proceed [打印本頁(yè)]

作者: ACID    時(shí)間: 2025-3-21 17:27
書目名稱Applications of Artificial Intelligence in Engineering影響因子(影響力)




書目名稱Applications of Artificial Intelligence in Engineering影響因子(影響力)學(xué)科排名




書目名稱Applications of Artificial Intelligence in Engineering網(wǎng)絡(luò)公開度




書目名稱Applications of Artificial Intelligence in Engineering網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Applications of Artificial Intelligence in Engineering被引頻次




書目名稱Applications of Artificial Intelligence in Engineering被引頻次學(xué)科排名




書目名稱Applications of Artificial Intelligence in Engineering年度引用




書目名稱Applications of Artificial Intelligence in Engineering年度引用學(xué)科排名




書目名稱Applications of Artificial Intelligence in Engineering讀者反饋




書目名稱Applications of Artificial Intelligence in Engineering讀者反饋學(xué)科排名





作者: 光亮    時(shí)間: 2025-3-21 21:27
Schule aus Sicht verschiedener Akteurea recently developed metaheuristic multi-verse optimizer (MVO) is proposed. The proposed method is applied to 10 well-known benchmark nonlinear regression problems. A comparative study has been conducted with particle swarm optimizer (PSO). The experimental results demonstrate that the proposed method statistically outperforms the PSO algorithm.
作者: Archipelago    時(shí)間: 2025-3-22 03:37
Nonlinear Regression Analysis Using Multi-verse Optimizer,a recently developed metaheuristic multi-verse optimizer (MVO) is proposed. The proposed method is applied to 10 well-known benchmark nonlinear regression problems. A comparative study has been conducted with particle swarm optimizer (PSO). The experimental results demonstrate that the proposed method statistically outperforms the PSO algorithm.
作者: mediocrity    時(shí)間: 2025-3-22 06:06

作者: exigent    時(shí)間: 2025-3-22 12:42

作者: 漂泊    時(shí)間: 2025-3-22 14:54

作者: libertine    時(shí)間: 2025-3-22 18:41

作者: Tailor    時(shí)間: 2025-3-22 22:10

作者: GENRE    時(shí)間: 2025-3-23 01:43

作者: 無(wú)法解釋    時(shí)間: 2025-3-23 07:42

作者: 枯萎將要    時(shí)間: 2025-3-23 12:50
The Classification and Comparative Study of Real-Time Task Scheduling Algorithms Based on Various Pdividual requirements and challenges as per their architecture. This paper includes the various scheduling approaches classification based on different parameters, the survey of well-known real-time process scheduling approaches, and comparative study of real-time scheduling algorithms.
作者: GLIDE    時(shí)間: 2025-3-23 14:04

作者: Frenetic    時(shí)間: 2025-3-23 20:03
Brigitte Kottmann,Susanne Millerants for heuristic visibility and pheromone distribution. In our approach, two types of ant are used; forward ant and backward ant is where forward ants exploits the feasible path to reach destination, and backward ant gathers information about the connected components and updates routing tables of the node.
作者: 法律的瑕疵    時(shí)間: 2025-3-24 00:03
Monika Oberle,Johanna Forstmannorithm is termed as COBSCA in this paper. It is applied to solve 28 CEC2013 benchmark problems. The results of COBSCA are compared with SCA and opposition-based SCA (OBSCA). The experimental results demonstrate that the COBSCA statistically outperforms others in solving most of the problems in the CEC2013 benchmark suite.
作者: 引導(dǎo)    時(shí)間: 2025-3-24 06:07

作者: 功多汁水    時(shí)間: 2025-3-24 08:49

作者: 共同給與    時(shí)間: 2025-3-24 12:48

作者: Consequence    時(shí)間: 2025-3-24 16:32

作者: 主講人    時(shí)間: 2025-3-24 19:22

作者: ANTI    時(shí)間: 2025-3-25 02:25

作者: 寬大    時(shí)間: 2025-3-25 05:06

作者: Notorious    時(shí)間: 2025-3-25 10:57

作者: 移植    時(shí)間: 2025-3-25 15:26
2524-7565 he proceeding will be targeting the current research works in the domain of intelligent systems and artificial intelligence..978-981-33-4606-2978-981-33-4604-8Series ISSN 2524-7565 Series E-ISSN 2524-7573
作者: Chauvinistic    時(shí)間: 2025-3-25 18:34
,Ausgew?hlte Multivariate Analyseverfahren,lesions are extracted from the segmented MR images. The proposed method is compared with the K-means algorithm using well-known clustering validity measure DB-index. The experimental results demonstrate that the proposed method performs better than the K-means algorithm in the segmentation of kidney lesions in MRI.
作者: 奴才    時(shí)間: 2025-3-25 22:10

作者: 取回    時(shí)間: 2025-3-26 01:05

作者: 糾纏,纏繞    時(shí)間: 2025-3-26 04:47

作者: 名字的誤用    時(shí)間: 2025-3-26 08:35

作者: obeisance    時(shí)間: 2025-3-26 15:48

作者: 植物學(xué)    時(shí)間: 2025-3-26 20:17

作者: Nebulous    時(shí)間: 2025-3-27 00:12

作者: 容易懂得    時(shí)間: 2025-3-27 01:31

作者: 權(quán)宜之計(jì)    時(shí)間: 2025-3-27 05:53
Schule aus Sicht verschiedener Akteuremization algorithms play a significant role in searching the coefficients in the regression model. In this paper, nonlinear regression analysis using a recently developed metaheuristic multi-verse optimizer (MVO) is proposed. The proposed method is applied to 10 well-known benchmark nonlinear regres
作者: 內(nèi)向者    時(shí)間: 2025-3-27 11:05

作者: GUISE    時(shí)間: 2025-3-27 15:09
Marion Plien,Sascha Ulrich M.Ed.ivers state-of-the-art results. The application of deep learning has illustrated amazing performance in various fields of implementation, especially in the field of image classification, segmentation, and object detection. Recent developments in deep learning methods are promoting efficiency in fine
作者: 受傷    時(shí)間: 2025-3-27 18:06
,Ausgew?hlte Multivariate Analyseverfahren,are degraded by the noise and intensity inhomogeneities (IIHs) in MR images. Therefore, at the outset, the MR images are denoised using median filter. Then IIHs are corrected using the max filter-based method. A hard-clustering technique using SSA is developed to segment the MR images. Finally, the
作者: Factorable    時(shí)間: 2025-3-27 22:15
https://doi.org/10.1007/978-3-658-38599-6ficantly more assignment than customary telephones, the cell phones are not, at this point only a specialized gadget yet additionally considered as a ground-breaking processing gadget which is ready to catch pictures, record recordings, surf the web and so on. With the headway of innovation, it is c
作者: 隱語(yǔ)    時(shí)間: 2025-3-28 02:25

作者: transplantation    時(shí)間: 2025-3-28 06:24
Dorothee Gronostay,Sabine Manzelballing as payment requests and transactions happen mostly through the Internet. Recent fraudsters have a wide range of mediums and techniques they can use which makes each attack unique even if the same person is behind the attack. They leverage these techniques to portray standard user conduct (Am
作者: 哭得清醒了    時(shí)間: 2025-3-28 12:17

作者: 舉止粗野的人    時(shí)間: 2025-3-28 16:36
https://doi.org/10.1007/978-3-658-06191-3 task. The operation and control of power system includes several interconnected activities. Transmission line expansion is a solution to cater aggressive load demand by adding transmission circuits. The expansion plan should be cost effective and viable. In recent years, expansion problem has been
作者: Nefarious    時(shí)間: 2025-3-28 21:32

作者: 同步左右    時(shí)間: 2025-3-29 01:30

作者: Negligible    時(shí)間: 2025-3-29 05:55

作者: 緩解    時(shí)間: 2025-3-29 10:09
https://doi.org/10.1007/978-3-658-16293-1 dopaminergic neurons in substantia nigra part which is found in thalamic region of human brain. Diagnosis of Parkinson’s disease is very much costly. Most of the research works that have been performed to detect Parkinson’s disease are based on speech utterances, kinematic features, pen-based featu
作者: 夾死提手勢(shì)    時(shí)間: 2025-3-29 13:53
https://doi.org/10.1007/978-3-658-16293-1temperature and humidity can cause several fatal and non-fatal accidents. So it is very important to regularly monitor the levels of environmental parameters to keep the atmosphere just right in underground coal mine. This paper presents design and development of a smart coal mine monitoring Rover u
作者: Serenity    時(shí)間: 2025-3-29 18:28
Christopher Hempel,David Jahr,Dieter Koop growth of spatiotemporal data along with the emergence of IOT, smart devices, social media, and location-based services, etc., has accentuated the demand for efficient discovery of spatiotemporal knowledge. STDM has a widespread use in several real-life situations. STDM techniques are generally cla
作者: superfluous    時(shí)間: 2025-3-29 23:44

作者: 橫截,橫斷    時(shí)間: 2025-3-30 02:03
Applications of Artificial Intelligence in Engineering978-981-33-4604-8Series ISSN 2524-7565 Series E-ISSN 2524-7573
作者: 不能強(qiáng)迫我    時(shí)間: 2025-3-30 05:50
Conference proceedings 2021y the University of Engineering & Management, Jaipur, India, during 8–10 September 2020. The proceeding will be targeting the current research works in the domain of intelligent systems and artificial intelligence..
作者: 形容詞詞尾    時(shí)間: 2025-3-30 08:17

作者: 鍍金    時(shí)間: 2025-3-30 15:56

作者: 敏捷    時(shí)間: 2025-3-30 17:51
A Review: Image Classification and Object Detection with Deep Learning,the mark results. Hence, this review paper is made with the aim to bring some prominent models and techniques back into the light and provide their results on different popular datasets. There have been key discoveries made which are discussed throughout the paper.
作者: agenda    時(shí)間: 2025-3-31 00:28

作者: 河流    時(shí)間: 2025-3-31 04:27
,Data Mining Techniques for Fraud Detection—Credit Card Frauds,tails. The aim is to accurately detect fraudulent activity by categorizing them as legal and illegal transactions. Such techniques and advanced security measures for credit card?fraud detection are getting more elegant by the day and are making it more difficult for the fraudsters to accomplish thei
作者: Dappled    時(shí)間: 2025-3-31 08:49
A Review of Nature-Inspired Routing Algorithms for Flying Ad Hoc Networks, of FANET. NIA computes on the behavior of biological agents and uses this paradigm for solving and building various advance algorithms. This paper describes the literature work done till now on routing algorithms used for FANETs and explains how NIA has been proved as an efficient algorithm for rou
作者: 顯而易見(jiàn)    時(shí)間: 2025-3-31 11:33
,Performance Analysis of Different Machine Learning Classifiers in Detection of Parkinson’s Disease ormance of different classifiers is shown. Experimental result analysis shows that with the available training datasets, Dataset 1 and Dataset 2 have achieved 74.7% and 96.8% of accuracy, respectively.
作者: extrovert    時(shí)間: 2025-3-31 16:51





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