標(biāo)題: Titlebook: Machine Learning: Theoretical Foundations and Practical Applications; Manjusha Pandey,Siddharth Swarup Rautaray Book 2021 The Editor(s) (i [打印本頁] 作者: 大破壞 時(shí)間: 2025-3-21 19:44
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書目名稱Machine Learning: Theoretical Foundations and Practical Applications讀者反饋學(xué)科排名
作者: 竊喜 時(shí)間: 2025-3-21 22:05
Studies in Big Datahttp://image.papertrans.cn/m/image/620762.jpg作者: 通便 時(shí)間: 2025-3-22 02:13 作者: tattle 時(shí)間: 2025-3-22 04:39
Machine Learning: Theoretical Foundations and Practical Applications978-981-33-6518-6Series ISSN 2197-6503 Series E-ISSN 2197-6511 作者: EXCEL 時(shí)間: 2025-3-22 10:51 作者: 直覺沒有 時(shí)間: 2025-3-22 16:37
ly scattered throughout the literature.Gives a clear introduThis book provides a detailed introduction to recent developments in the theory of linear differential systems and integrable total differential systems. Starting from the basic theory of linear ordinary differential equations and integrabl作者: 柱廊 時(shí)間: 2025-3-22 17:41 作者: Exposure 時(shí)間: 2025-3-22 21:54 作者: 人充滿活力 時(shí)間: 2025-3-23 03:22
Vijay Bhaskar Semwal,Arghya Mazumdar,Ashish Jha,Neha Gaud,Vishwanath Bijalwanematical modeling of these systems using linear algebra and quantum stochastic calculus as the main tools for a treatment that?emphasizes a system-theoretic point of view and the control-theoretic formulations of quantum versions of familiar problems from the classical (non-quantum) setting, includi作者: APEX 時(shí)間: 2025-3-23 09:16 作者: 小爭吵 時(shí)間: 2025-3-23 12:21 作者: Admire 時(shí)間: 2025-3-23 16:45
Lipika Mohanty,Junali Jasmine Jena,Manjusha Pandey,Siddharth Swarup Rautaray,Sushovan Jenaactical interest through special cases of these problems obt.This textbook provides a concise, clear, and rigorous presentation of the dynamics?of linear systems that delivers the necessary tools for the analysis and design of mechanical/ structural systems, regardless of their complexity. The book 作者: 大看臺 時(shí)間: 2025-3-23 19:04 作者: Finasteride 時(shí)間: 2025-3-24 00:44 作者: 分發(fā) 時(shí)間: 2025-3-24 04:44
Challenges and Solutions in Developing Convolutional Neural Networks and Long Short-Term Memory Netsed are two classic ones: convolutional neural network (CNN) and long short-term memory (LSTM). The CNN application to identify hand-written choice options from a scanned image, faced issues of “pose” (oriental transformation) problem and “region segmentation.” The LSTM application to predict the eq作者: Archipelago 時(shí)間: 2025-3-24 10:24 作者: Negotiate 時(shí)間: 2025-3-24 11:02 作者: 護(hù)航艦 時(shí)間: 2025-3-24 18:43
Web Semantics and Knowledge Graph, it is in the form of documents, research reports, surveys, articles, slides and even on the emails, etc. In the crucial time our world is?where technology reign supreme, data is considered as the most important resources and even though we are surrounded by data, we cannot analyze it because of our作者: eustachian-tube 時(shí)間: 2025-3-24 20:53 作者: 掙扎 時(shí)間: 2025-3-24 23:33
AI to Machine Learning: Lifeless Automation and Issues,aily life. The broad range of applications of machine learning are disease detection, weather forecasting, gaming, political discussion, business analytics, acoustics, agriculture, energy forecasting, genomics, etc. The advances in artificial intelligence and machine learning is a combination of too作者: amplitude 時(shí)間: 2025-3-25 05:13
Analysis of FDIs in Different Sectors of the Indian Economy,or for evaluating the progress of any country and plays a huge role in its economy. An increase in FDI means an increase in technology, infrastructure, employment, which in turn results in higher tax generation for the host country. It also leads to an increase in foreign reserves. With India’s Prim作者: 聽覺 時(shí)間: 2025-3-25 10:15 作者: HAVOC 時(shí)間: 2025-3-25 15:39 作者: 思考 時(shí)間: 2025-3-25 17:58 作者: interlude 時(shí)間: 2025-3-25 22:41
Machine Learning-Based Wireless Sensor Networks,namic environment and to track the target correctly. Also it needs to detect attacks and faults early. Machine learning techniques provide various solutions to the issues that are faced by WSNs. This chapter discusses some recent applications of machine learning techniques, to different areas of WSNs as well as the challenges faced.作者: 休戰(zhàn) 時(shí)間: 2025-3-26 04:06
Challenges and Solutions in Developing Convolutional Neural Networks and Long Short-Term Memory Netuated monthly instalment by all customers had to overcome challenges of “multi-variate” and “multiple time series.” The evolution of a satisfactory solution for the customer in both these cases is described in this chapter. The importance of data analysis, data pre-processing and proper choice of hyper-parameters is seen through these experiments.作者: Ringworm 時(shí)間: 2025-3-26 06:31 作者: 偏見 時(shí)間: 2025-3-26 09:40 作者: 干涉 時(shí)間: 2025-3-26 14:45 作者: 相信 時(shí)間: 2025-3-26 17:43
Nooria Karimi,Adyasha Dash,Siddharth Swarup Rautaray,Manjusha Pandeyation of parallel magnetic and electric fields leads to the chiral anomaly, i.e. to a misbalance between the electrons with diffident chiralities. This misbalance affects the electrodynamics properties of the m978-3-031-35639-1978-3-031-35637-7Series ISSN 0171-1873 Series E-ISSN 2197-4179 作者: Pericarditis 時(shí)間: 2025-3-26 23:23
Subhashree Darshana,Siddharth Swarup Rautaray,Manjusha Pandey作者: 易達(dá)到 時(shí)間: 2025-3-27 03:00 作者: 多產(chǎn)子 時(shí)間: 2025-3-27 08:08 作者: 喚起 時(shí)間: 2025-3-27 12:01 作者: 監(jiān)禁 時(shí)間: 2025-3-27 17:06
Speed, Cloth and Pose Invariant Gait Recognition-Based Person Identification,, SVM, ANN and XGBoost-based machine learning algorithms are used on the CASIA gait data set and achieved 99, 96 and 67% identification accuracy, respectively, for three different scenarios of invariance, i.e. speed, cloth and pose.作者: 硬化 時(shí)間: 2025-3-27 19:06 作者: arbiter 時(shí)間: 2025-3-28 00:07 作者: enumaerate 時(shí)間: 2025-3-28 03:31
AI to Machine Learning: Lifeless Automation and Issues,ng. Adaptive neural fuzzy inference system?is used for wind power detection in power systems. Hence, it gives richer proposals and bits of knowledge for the ensuing decisions based on past information and activities with the extreme scope?of production enhancement.作者: Toxoid-Vaccines 時(shí)間: 2025-3-28 10:15 作者: Nostalgia 時(shí)間: 2025-3-28 13:02 作者: 高度贊揚(yáng) 時(shí)間: 2025-3-28 15:37 作者: backdrop 時(shí)間: 2025-3-28 22:15
