##tihuan2##The literature survey on belt grinding shows certain limited understanding of material removal on the process variables. Experimental trials were conducted based on the Taguchi Method to evaluate the …
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##tihuan2##This report provides a general introduction to active learning and a survey of the literature, including a discussion of the scenarios in which queries can be formulated, and an overview of the query strategy frameworks proposed in the literature to date. The key idea behind active learning is that a machine learning algorithm can achieve greater accuracy with …
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##tihuan2##Yun Huang et al. presented the literature survey on belt grinding shows certain limited understanding of material removal, wear and grinding process. The importance of belt …
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##tihuan2##Key helped the researcher to study depression detection using machine learning. 2.1. Domain: Social sites is the vast area that consists of emoticons, images, paragraphs, and memes to relate to emotional feeling.Review studies done signify that text is the major area covered the social user to express thoughts.
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##tihuan2##LITERATURE SURVEY [1] Research on Stock Price Prediction Method Based on Convolutional Neural Network, IEEE 2019- Sayavong Lounnapha et al. This paper intends for a prediction model for stock price which is centered at the convolutional neural networks, that has exceptional capability of learning on its own.
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##tihuan2##learning; machine learning; literature survey. 1. Introduction. Landslide is the movement of rock, soil, and organic matter down the slope, influ-enced by gravitational force.
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##tihuan2##This study compares nine machine learning models (Decision Tree, Random Forest, Adaptive Boosting (Adaboost), eXtreme Gradient Boosting (XGBoost), Support Vector Classifier (SVC), Naïve Bayes, K ...
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##tihuan2##The introduction details with brief explanation followed by description of the semantic technology and machine learning, important role. The literature survey contains summarized view of the papers with a graph plotted on the analysis of paper throughout the decade; a table with summary of the related works and concluded with review analysis.
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##tihuan2##In this they use Support Vector Machine for detecting the fake news. In this they use PCA and LSA methods for feature extraction. By using Support Vector Machine they obtained an accuracy of 86%. Karishnu Poddar, Geraldine Bessie Amali D, Umadevi K S developed a Comparison of Various Machine Learning Models for Accurate Detection …
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##tihuan2##2. Literature Survey In this paper 1) Tweets are classify into the positive or negative comments using machine learning algorithm such as Naïve Bayes, Random forest (RF), Support vector machine (SVM), Unigram with Sentiwordnet and unigram with Sentiwordnet including negations are using as the input in this paper.
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##tihuan2##The literature survey: Precision agriculture for crop yield optimization Surender Mogilicharla; Surender Mogilicharla a) 1. Department of Computer Science and Engineering, Osmania University ... Machine Learning for Seed Quality Classification: An Advanced Approach Using Merger Data from FT-NIR Spectroscopy and X-ray Imaging
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##tihuan2##Actionable Warning Identification (AWI) plays a crucial role in improving the usability of static code analyzers. With recent advances in Machine Learning (ML), various approaches have been proposed to incorporate ML techniques into AWI. These ML-based ...
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##tihuan2##This literature survey focuses on finding the algorithms that can calculate traffic precisely and efficiently. While various algorithms can be used to predict the traffic, this literature survey focuses on using Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), which are based on the Recurrent Neural Networks (RNNs) …
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##tihuan2##LITERATURE SURVEY ON SMART VEHICLE ACCIDENT PREDICTION USING MACHINE LEARNING ALGORITHM Bharath P1, Saravanan M2, Aravindhan K3 2Assistant Professor, Dept. of Computer Science and Engineering, KPRIET, Tamilnadu, India 1,3Student, Dept. of Computer Science and Engineering, KPRIET, Tamilnadu, India
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##tihuan2##grinding machine after successfully manufactured have been widely applied in addition to actual production. It is typically used as a finishing process in industry.
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##tihuan2##PDF | On Jul 1, 2020, Munira Ferdous and others published Machine Learning Algorithms in Healthcare: A Literature Survey | Find, read and cite all the research you need on ResearchGate
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##tihuan2##Initial Investment: Grinding machines, especially those used for precision applications, are costly. High-end machines with advanced features like CNC systems are even more expensive. Basic Grinding Machines: Entry-level grinding machines, suitable for small-scale operations or less complex tasks, typically range from $5,000 to $20,000.
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##tihuan2##The rest of this review is organized as follows: Section 4.2 discusses the methodology used to survey and review the literature which defines the discussion framework used in all subsequent sections; Sect. 4.3 describes the data sets used; Sect. 4.4 provides a description of the output objective in the various papers; Sects. 4.5–4.7 describe ...
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##tihuan2##ology used to survey and review the literature which defines the discussion framework used in all subsequent sections; Section 3 describes the data sets used; Section 4 provides a description of ...
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##tihuan2##Compliant grinding and polishing are categorized into 5 levels that span the closed-loop of complete machine component chain. Within each category, sub-levels …
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##tihuan2##Grinding machines, integral to modern machining, offer several benefits: High Precision: Allows for achieving tight tolerances and smooth finishes on workpieces. Versatility: Capable of grinding a wide …
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##tihuan2##Separation of Cashew Fruit Machine Prof. S A Wani1, Teja Gavhane2, Megha Lohar 3, Pratik Shinde 4, Sandip Thange 5, ... From literature survey, it is found that very few research work done on this topic. Concept of this collection-separation machine is not exist yet. Hence, it is decided to carry out an experimental work to find performance and ...
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##tihuan2##MYRA G. FLORES et al: LITERATURE REVIEW OF AUTOMATED WASTE SEGREGATION SYSTEM USING . . DOI 10.5013/IJSSST.a.20.S2.15 15.1 ISSN: 1473-804x online, 1473-8031 print Literature Review of Automated Waste Segregation System using Machine Learning: A Comprehensive Analysis
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##tihuan2##Active learning has been successfully applied to a number of natural language processing tasks, such as, information extraction, named entity recognition, text categorization, part-of-speech tagging, parsing, and word sense disambiguation. Active learning is a supervised machine learning technique in which the learner is in control of …
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##tihuan2##R. Vijayakumar et.al found that how to increase the productivity by fabricating a Motorized Multipurpose machine that could perform four machining operation (Drilling, Sawing …
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##tihuan2##Maternal mortality is a major public health concern worldwide. It is the number of preventable deaths that occur each year due to pregnancy and childbirth. The research investigates how machine learning may be used to minimize maternal mortality. Historical data on maternal health is used to develop predictive models, early detection systems, …
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##tihuan2##This paper proposes a novel approach for in-process endpoint detection of weld seam removal during robotic abrasive belt grinding process using discrete wavelet transform (DWT) and support …
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##tihuan2##Survey Findi ngs in Instruction Set Archit ecture (ISA) Level In ISA, the auth ors furn ish a det ailed over view of t he ar chitectur e and various pr ocessor models. The auth ors
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##tihuan2##Machine learning algorithms represent the intelligence that controls many information systems and applications around us. As such, they are targeted by attackers to impact their decisions. Text created by machine learning algorithms has many types of applications, some of which can be considered malicious especially if there is an …
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