標(biāo)題: Titlebook: Machine Vision and Augmented Intelligence—Theory and Applications; Select Proceedings o Manish Kumar Bajpai,Koushlendra Kumar Singh,George [打印本頁] 作者: 鏟除 時間: 2025-3-21 19:14
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作者: 使?jié)M足 時間: 2025-3-21 22:36 作者: 萬花筒 時間: 2025-3-22 03:22
Machine Vision and Augmented Intelligence—Theory and Applications978-981-16-5078-9Series ISSN 1876-1100 Series E-ISSN 1876-1119 作者: 安定 時間: 2025-3-22 07:52
Manish Kumar Bajpai,Koushlendra Kumar Singh,GeorgeHighlights recent research in machine vision and augmented intelligence.Discusses the outcomes of MAI 2021 held at Jabalpur, India.Serves as a reference guide for researchers and practitioners in acad作者: Favorable 時間: 2025-3-22 12:08 作者: boisterous 時間: 2025-3-22 14:57
tarts with the development of Marx-Sraffa linear economic models with fixed capital. The author then addresses various topics, including formal explanations of Sraffa-Okishio-Nakatani’s (SON) reduction of the whole economy to its subsystem of brand-new commodities, the renewal dynamics of fixed capi作者: Gerontology 時間: 2025-3-22 19:08
Konark Yadav,Milind Yadav,Sandeep Sainiand from the beginning illustrating the theory with software examples. As such, it quickly introduces readers to the peculiarities of each subject from both theoretical and the practical points of view. It also includes numerous examples and real-world applications that demonstrate how to handle dif作者: surrogate 時間: 2025-3-23 00:26 作者: Alveolar-Bone 時間: 2025-3-23 04:12 作者: cavity 時間: 2025-3-23 06:06
Afroz Fatima,Abhijit Pethee organized into “branching” trees, and which reflect the high degree of nondeterminism inherent in parallel computation. In this paper, we give a systematic account of Branching Time Temporal Logics, which provide a formal system for describing and reasoning about the correct behaviour of such prog作者: 使害羞 時間: 2025-3-23 09:42
Astha Verma,Vijay Bhaskar Semwal,Koushlendra Kumar Singhsuch a systemof equations is called a .,while the individual solutions are the . or . of the system. In this book, we consider time systems, where the trajectories are functions of a continuous or discrete-time variable which satisfy linear differential or difference equations with constant coeffici作者: MUT 時間: 2025-3-23 16:46 作者: milligram 時間: 2025-3-23 21:59 作者: 得意人 時間: 2025-3-23 22:12
Sanjay Kumar,Binod Kumar Singherts in this field.The aim of this book is to propose a new approach to analysis and control of linear time-varying systems.? These systems are defined in an intrinsic way, i.e., not by a particular representation (e.g., a transfer matrix or a state-space form) but as they are actually.? The system 作者: 安慰 時間: 2025-3-24 05:24 作者: 細(xì)節(jié) 時間: 2025-3-24 09:26
Ayushi Rastogi,Ujjayanta Bhoumik,Chhavi Choudhary,Akbar Sheikh Akbari,Koushlendra Kumar Singherts in this field.The aim of this book is to propose a new approach to analysis and control of linear time-varying systems.? These systems are defined in an intrinsic way, i.e., not by a particular representation (e.g., a transfer matrix or a state-space form) but as they are actually.? The system 作者: 誘惑 時間: 2025-3-24 13:23
Sunil Tiwari,Manish Bhardwaj,Rakesh Kumar Katareway, i.e., not by a particular representation (e.g., a transfer matrix or a state-space form) but as they are actually.? The system equations, derived, e.g., from the laws of physics, are gathered to form an intrinsic mathematical object, namely a finitely presented module over a ring of operators.?作者: 尖叫 時間: 2025-3-24 16:51 作者: 輪流 時間: 2025-3-24 22:28 作者: Crumple 時間: 2025-3-25 00:22
Stock Market Predictions Using FastRNN, CNN, and Bi-LSTM-Based Hybrid Model,op deep learning-based hybrid model for live predictions of stock values. The proposed model is a hybrid deep learning model, utilizing the best features of Fast Recurrent Neural Networks (FastRNN), Convolutional Neural Networks (CNN), and Bi-Directional Long Short-Term Memory (Bi-LSMT) models, to p作者: 紅腫 時間: 2025-3-25 03:29 作者: rectocele 時間: 2025-3-25 08:05
Mathematical Model with Social Distancing Parameter for Early Estimation of COVID-19 Spread,ients are increasing day by day. All countries have adopted social distancing as a preventive measure to reduce spread. It becomes necessary to estimate the number of people going to be affected by COVID-19 in advance so that necessary arrangements can be done. Mathematical models are used to provid作者: 漂泊 時間: 2025-3-25 14:37
NVM Device-Based Deep Inference Architecture Using Self-gated Activation Functions (Swish),ed in this paper. The deep neural network is built using the 1T-1RRAM crossbar structure. This paper presents the importance of activation functions in analog hardware, compares the proposed Self-Gated activation function with the existing designs in literature, and implements a deep inference archi作者: Osmosis 時間: 2025-3-25 17:03
Development of Universal Polynomial Equation for All the Sub-phases of Human Gait,kinematics solution. The Human leg is considered as 3-link manipulator. Inverse kinematics of a human leg is referred to calculate the set of joint angle values of leg during locomotion to place the human leg at specified position. Real-time computation of joint angles is used for analysis in clinic作者: 自然環(huán)境 時間: 2025-3-25 22:47
Application of Equipment Utilization Monitoring System for ICU Equipment Using Internet of Things (. IoT-based equipment utilization monitoring systems remotely monitor equipment like monitors, ventilators, infusion, and syringe pumps. This can be done by using a Raspberry Pi device which acts like a mini computer to capture data from equipment using a driver in JSON format. This study is designe作者: 小歌劇 時間: 2025-3-26 02:54 作者: 鎮(zhèn)壓 時間: 2025-3-26 04:20
A Review on Digital Watermarking-Based Image Forensic Technique,sics of digital image plays a crucial part in verifying the integrity and authenticity of computerized images. Digital watermarking is one of the computationally efficient techniques to verify the digital image’s integrity and authenticity. In this work, an overview of various image forensic techniq作者: 影響帶來 時間: 2025-3-26 12:04
An IoT-Enabled Smart Waste Segregation System,ates it or increases the dependence of sensors on each other which becomes a problem in case a sensor becomes faulty. Smart dustbins have also been developed traditionally using only IoT and cloud technology which only sends alerts when the dustbin is full. However, the main task of waste segregatio作者: Accord 時間: 2025-3-26 14:26 作者: ESPY 時間: 2025-3-26 19:00
Study of Communication Pattern for Perfect Difference Network,erns using set theory and algebraic structure in perfect difference network. They are becoming pervasive in parallel and distributed architecture. A well-defined pattern makes efficient use of scarce communication resources such as nodes providing minimum diameter, high bandwidth with a minimum degr作者: Verify 時間: 2025-3-27 00:52 作者: Stress-Fracture 時間: 2025-3-27 04:05
Performance Analysis of Machine Learning-Based Breast Cancer Detection Algorithms,g other body parts too. The probability of survival is high only if the tumor is detected in an early stage, the higher the stage, lower are the chances of survival of the patient. The presence of a minor tumor could be missed by the human eye, but the machine learning algorithms scan mammograms dee作者: Bernstein-test 時間: 2025-3-27 05:58 作者: 拉開這車床 時間: 2025-3-27 12:53
Multiagent-Based GA for Limited View Tomography,ications, i.e., engineering as well as medical application. This study presents a limited view reconstruction method via a multiagent-based genetic algorithm (MAGA). Here, we use dynamic crossover and mutation rates. This study uses two dynamic crossover and mutation rates models, namely DHM/ILC and作者: 吊胃口 時間: 2025-3-27 15:02
,A Transfer Learning-Based Multi-cues Multi-scale Spatial–Temporal Modeling for Effective Video-Baseeo-based CCDE approaches utilize spatial–temporal modeling for the CCDE. However, these approaches fail to address some of the major issues, such as scale variation because of perspective distortion in the frame and volume of frames and minimization of background influence during spatial–temporal mo作者: Mosaic 時間: 2025-3-27 18:51
Modeling and Predictions of COVID-19 Spread in India,it the authorities to modify their plan and guidelines accordingly. Researchers worldwide are using different outbreak prediction models for COVID-19 to make informed decisions and implement applicable control measures. However, we should not use epidemiological models in India as they do not provid作者: THROB 時間: 2025-3-27 23:12 作者: ATRIA 時間: 2025-3-28 02:25 作者: Embolic-Stroke 時間: 2025-3-28 06:51
1876-1100 a reference guide for researchers and practitioners in acadThis book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2021) held at IIIT, Jabalpur, in February 2021. The conference proceedings encapsulate the best deliberations held during 作者: Entropion 時間: 2025-3-28 13:32
A Review on Digital Watermarking-Based Image Forensic Technique,ith a comprehensive view of different aspects of image forensics based on digital watermarking. This survey will enable researchers to apply efficacious watermarking techniques to verify the authenticity and integrity of digital images.作者: audiologist 時間: 2025-3-28 16:57 作者: 密切關(guān)系 時間: 2025-3-28 22:04
Stock Market Predictions Using FastRNN, CNN, and Bi-LSTM-Based Hybrid Model,mpanies for a period of one day. The model is aimed to have a low computational complexity so that it can be run for live predictions as well. The model‘s performance is measured by Root Mean Square Error (RMSE) along with computation time. The model outperforms ARIMA, FBProphet, and other hybrid systems for live predictions of stock values.作者: 廚師 時間: 2025-3-29 01:09 作者: prostatitis 時間: 2025-3-29 05:13 作者: Range-Of-Motion 時間: 2025-3-29 08:10 作者: 注視 時間: 2025-3-29 12:57 作者: blight 時間: 2025-3-29 18:33
An Approach for Denoising of Contaminated Signal Using Fractional Order Differentiator, different nature of signals, and experimentally establishes its findings. The proposed method has been also compared with different techniques available in the literature. The results that have been obtained through the experiments seem promising.作者: averse 時間: 2025-3-29 19:47 作者: 協(xié)議 時間: 2025-3-30 03:52
Suryanamaskar Pose Identification and Estimation Using No Code Computer Vision,osoft Lobe has been used to analyze Suryanamaskar poses. The poses are detected in real-time by the developed software, as one does Suryanamaskar in front of the camera. The classifier identifies the pose as one of the following: Pranamasana, Hastauttanasana, Hasta Padasana, Ashwa Sanchalanasana, Dandasana, Ashtanga Namaskara, or Bhujangasana.作者: 保全 時間: 2025-3-30 04:04
Study of Communication Pattern for Perfect Difference Network,ell-defined pattern makes efficient use of scarce communication resources such as nodes providing minimum diameter, high bandwidth with a minimum degree. In this paper, we study communication patterns of next-generation interconnection network, Perfect Difference Network.作者: 事先無準(zhǔn)備 時間: 2025-3-30 10:15 作者: 異教徒 時間: 2025-3-30 14:50 作者: intrigue 時間: 2025-3-30 17:31 作者: Duodenitis 時間: 2025-3-30 21:13 作者: 雀斑 時間: 2025-3-31 00:54 作者: organism 時間: 2025-3-31 08:44
Saurav Karmakar,Dibyanshu Gautam,Purnendu Karmakar作者: Audiometry 時間: 2025-3-31 11:57
Santosh Kumar Satapathy,Hari Kishan Kondaveeti,D. Loganathan,S. Sharathkumar作者: 紅潤 時間: 2025-3-31 15:10
Machine Vision and Augmented Intelligence—Theory and ApplicationsSelect Proceedings o作者: 使成波狀 時間: 2025-3-31 17:52 作者: Gastric 時間: 2025-4-1 01:32
Konark Yadav,Milind Yadav,Sandeep Saini Other topics discussed in the book include ARIMA; and transfer function and structural models; as well as signal extraction using the canonical decomposition in the univariate case, and VAR, VARMA, cointegrated VARMA, VARX, VARMAX, and multivariate structural models in the multivariate case. It als作者: 山羊 時間: 2025-4-1 05:03
Mangesh Ramaji Kose,Mithilesh Atulkar,Mitul Kumar Ahirwal Other topics discussed in the book include ARIMA; and transfer function and structural models; as well as signal extraction using the canonical decomposition in the univariate case, and VAR, VARMA, cointegrated VARMA, VARX, VARMAX, and multivariate structural models in the multivariate case. It als作者: 反省 時間: 2025-4-1 08:54
Saroj Kumar Chandra,Avaneesh Singh,Manish Kumar Bajpait. In the second part of the work we propose a generalization of linear transition systems. The nonlinear systems act like automata that spew out pomsets instead of strings. Various intuitions can be carried over from the linear to the nonlinear case without sacrificing true concurrency. Nonlinear a作者: Allure 時間: 2025-4-1 11:59
