標題: Titlebook: Machine Learning and Optimization for Engineering Design; Apoorva S. Shastri,Kailash Shaw,Mangal Singh Book 2023 The Editor(s) (if applica [打印本頁] 作者: CANTO 時間: 2025-3-21 19:39
書目名稱Machine Learning and Optimization for Engineering Design影響因子(影響力)
書目名稱Machine Learning and Optimization for Engineering Design影響因子(影響力)學科排名
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書目名稱Machine Learning and Optimization for Engineering Design網絡公開度學科排名
書目名稱Machine Learning and Optimization for Engineering Design被引頻次
書目名稱Machine Learning and Optimization for Engineering Design被引頻次學科排名
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書目名稱Machine Learning and Optimization for Engineering Design讀者反饋
書目名稱Machine Learning and Optimization for Engineering Design讀者反饋學科排名
作者: incubus 時間: 2025-3-21 21:31
Ssang-Hee Seo,Bong-Hyun Kimth significant industry experience.LETFs are a growing area Leveraged Exchange-Traded Funds (LETFs) are publicly-traded funds that promise to provide daily returns that are in a multiple (positive or negative) of the returns on an index. To meet that promise, the funds use leverage, which is typical作者: CAPE 時間: 2025-3-22 03:33 作者: 事先無準備 時間: 2025-3-22 04:58
Antara Asthana,Vidya Kumbhar,Prafulla B. Bafna,Alka GadakhTFs), with emphasis on the roles of leverage ratio, realized volatility, investment horizon, and tracking errors. This study provides new insights on the risks associated with LETFs. It also leads to the discussion of new risk management concepts, such as admissible leverage ratios and admissible ri作者: 顯而易見 時間: 2025-3-22 12:05
Namita Kalyan Shinde,Ashutosh Seth,Payal Kadame in the economic crisis of 2008-09 and in the broader conteThis?book considers the current domestic and global political and economic landscape and ?will show that there are three different but related kinds of leverage that together have emerged as the dominant strategy in economics, politics and 作者: 觀點 時間: 2025-3-22 13:16 作者: 表皮 時間: 2025-3-22 20:25
Chetan B. Khadse,Yogesh Tatte,Swati Jaiswalned working mothers and their families. Paid parental leave is needed because a major force within our society, leveraging, is completely out of balance in our family system. This force needs to be recognized, harnessed, and redirected toward humane ends. Like the Protestant Ethic which was a drivin作者: Nefarious 時間: 2025-3-22 21:31 作者: 咯咯笑 時間: 2025-3-23 05:01 作者: 富饒 時間: 2025-3-23 06:28
Design of Intelligent ICT Irrigation System Using Crop Growth Big Data Analysis, that the automation system of the existing system is difficult to be introduced into a farm environment with low technical capacity due to the difficulty of digitization of equipment and periodic input. Therefore, in this paper, a customized, intelligent irrigation system algorithm was designed usi作者: 紅腫 時間: 2025-3-23 10:06
OpenCV and MQTT Based Intelligent Management System,lating the traffic density, the system classifies the density into low, medium, and high density with the help of a decision algorithm. This system is based on Python programming, and the libraries used in Python are Open-source Computer Vision, NumPy, Chardet, and time library. The system is implem作者: characteristic 時間: 2025-3-23 15:25
,A Machine Learning Model for Student’s Academic Success Prediction,a variety of strategies for predicting student success, including physical assessment, statistical methodologies, and modern data mining techniques. Educational Data Mining facilitates the improvement of teaching and learning processes. The goal of the current study is to create data mining models f作者: characteristic 時間: 2025-3-23 18:17 作者: urethritis 時間: 2025-3-24 00:33
Disease Classification in Cassava Plant by Artificial Neural Network, of carbohydrates and is grown to provide a large source of nutrition for people in tropical climates. It is particularly susceptible to bacterial, viral,?and fungal infections, which restrict plant development and, as a result, decrease productivity. An Artificial Neural Network (ANN) model is impl作者: 膽大 時間: 2025-3-24 05:15
Exploring the Synergies: A Comprehensive Survey of Blockchain Integration with Artificial Intelligenance, the Internet of Things, big data, cloud computing, and edge computing. Combining blockchain, AI, ML, and IoT has the obvious benefit of granting AI greater autonomy and legitimacy. This survey report presents a thorough and three-dimensional analysis of the integration of blockchain with Arti作者: Bone-Scan 時間: 2025-3-24 07:29 作者: insightful 時間: 2025-3-24 12:35
An Intelligent System for the Classification of Dental Problems Based on Bayesian Regularization Nehis intelligent system is very useful in a scenario of COVID-19 outbreak where doctor-patient contact should be minimal. The trained neural network is the brain of the system. Bayesian regularization is used to train the network. The learning algorithm is chosen after the comparison with other six b作者: Infelicity 時間: 2025-3-24 18:42
Development of Smart Home System Based on EEG,bilities. The developed system classifies brain waves when a user thinks to the right or left and opens and closes the window in the desired direction. To this end, a mobile application was developed to induce direction-related brain waves from user, and a deep learning model for classifying brain w作者: CLAP 時間: 2025-3-24 20:18
A Short Review of Machine Learning Techniques for Thermal, Energy and Electrical Engineering Applicction is used to detect undesired work during running of any machine component. Time series models are used for forecasting model. This article demonstrates how a machine learning model improves the performance of engineering applications in thermal engineering, energy, and electrical appliances.作者: Habituate 時間: 2025-3-25 01:10
OpenCV and MQTT Based Intelligent Management System,n and finding out the emergency vehicle based on GPS Tracking using ESP32 and IoT over MQTT. Last phase is related to pollution monitoring. This complete model for the system is made, and the results are shown in the paper.作者: indemnify 時間: 2025-3-25 03:55
,A Machine Learning Model for Student’s Academic Success Prediction,demic and non-academic followed by exploratory data analysis. The dataset is subjected to decision trees and multilayer perceptron algorithms with regression analysis. Precision recall values are calculated using different attributes sets. Testing accuracy of j48 algorithm with all attributes is maximum which is greater than 90%.作者: 能得到 時間: 2025-3-25 08:59
2731-4049 on optimization engineering.Presents state-of-the-art resear.This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design. The theoretical and practical development作者: reperfusion 時間: 2025-3-25 12:31 作者: Minatory 時間: 2025-3-25 16:29
Exploring the Synergies: A Comprehensive Survey of Blockchain Integration with Artificial Intelligeficial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) describing potential benefits and challenges. It looks at the current problems and challenges in the field as well as prospective directions for future study into how to combine blockchain with AI, ML, and IoT.作者: carotid-bruit 時間: 2025-3-25 21:11
Book 2023he field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, ICT-based irrigation systems, academic success prediction, future agro-industry for crop production, disease classification in plants, dental problems作者: 裹住 時間: 2025-3-26 04:13 作者: fibroblast 時間: 2025-3-26 06:33 作者: LIMIT 時間: 2025-3-26 08:41 作者: inclusive 時間: 2025-3-26 12:52
978-981-99-7458-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: 撫育 時間: 2025-3-26 19:16
Machine Learning and Optimization for Engineering Design978-981-99-7456-6Series ISSN 2731-4049 Series E-ISSN 2731-4057 作者: Complement 時間: 2025-3-27 00:16
Design of Intelligent ICT Irrigation System Using Crop Growth Big Data Analysis,ntelligent watering system and various ICT sensors. In addition, through post-management, the system was designed to provide easy usability to users with low technological acceptance by changing S/W and major control devices according to changes in cultivated crops. Designed and proposed in the pape作者: Silent-Ischemia 時間: 2025-3-27 01:42
Intelligent Agro-Industry for Crop Production Considering Soil Properties and Climatic Variables toclimatic conditions and soil nutrients, the production of suitable crops is determined using the supervised and unsupervised machine learning algorithms. Logistic Regression (LR), Support Vector Machine (SVM), Decision Tree, and K Nearest neighbor machine learning algorithms are used under supervise作者: Limerick 時間: 2025-3-27 06:38 作者: 鋼盔 時間: 2025-3-27 11:15
An Intelligent System for the Classification of Dental Problems Based on Bayesian Regularization NeB is used for the image processing and training of the neural network. The trained network is linked with the MATLAB graphical user interface. The MATLAB GUI displays the detected teeth problem and the consultation as the patient’s teeth image fed to it. The images of the teeth problems fed to the p作者: unstable-angina 時間: 2025-3-27 17:37
Development of Smart Home System Based on EEG,he disabled, and deep learning technology was used to increase the accuracy of classification of brain signals. In particular, the proposed convolutional neural network (CNN) model extracts and classifies the features of brain signals related to motor imagery. We performed tests for the developed sy作者: 債務 時間: 2025-3-27 18:15
Book 2023. The book targets a larger audience by exploring multidisciplinary research directions such as computer vision, machine learning, artificial intelligence, modified/newly developed machine learning algorithms, etc., to enhance engineering design applications for society. State-of-the-art research wo作者: INTER 時間: 2025-3-27 23:11
Nihar Ranjan Swain,Shreejith Pillai,Sanket Kumar Yadavingon such key elements as structure, pricing, performance, regulations, taxation, and trading strategies. The first two chapters set the stage for the book by identifying exactly what LETFs are and how they ar978-1-137-47821-4作者: Dignant 時間: 2025-3-28 03:17
Ssang-Hee Seo,Bong-Hyun Kimingon such key elements as structure, pricing, performance, regulations, taxation, and trading strategies. The first two chapters set the stage for the book by identifying exactly what LETFs are and how they ar978-1-137-47821-4作者: eustachian-tube 時間: 2025-3-28 07:12
2731-4049 ch as computer vision, machine learning, artificial intelligence, modified/newly developed machine learning algorithms, etc., to enhance engineering design applications for society. State-of-the-art research wo978-981-99-7458-0978-981-99-7456-6Series ISSN 2731-4049 Series E-ISSN 2731-4057 作者: 禮節(jié) 時間: 2025-3-28 12:03 作者: 闡明 時間: 2025-3-28 15:31 作者: Commission 時間: 2025-3-28 19:38
Anand Mahajan,Satej Gadekar,Sumit Sagave,Smita Paithankar,Bhushan Rakhonde,Chetan Khadserage pricing approach that consistently value options on LETFs with different leverage ratios withstochastic volatility and jumps in the reference index. Their results are useful for market making of these options, and for identifying price discrepancies across the LETF options markets. As the marke
