Phishing Detection: A Literature Survey
This article surveys the literature on the detection of phishing attacks. Phishing attacks target vulnerabilities that exist in systems due to the human factor.
Systematic literature review of machine learning methods …
Machine learning is a broad term encompassing a number of methods that allow the investigator to learn from the data. These methods may permit large real-world databases to be more rapidly translated to applications to inform patient-provider decision making. This systematic literature review was conducted to identify published observational research of …
Literature Review of Automated Waste …
This paper aims to analyze existing research presented studies around the globe to determine the problems, an algorithm used and method of those cited studies, and assess the correct algorithm to be used in a future …
Reliability Analysis of Centerless Grinding Machine Using …
An extensive literature survey states that reliability analysis of CGM can be carried out by using various methods such as Failure Modes and Effects Analysis (FMEA), Reliability Block …
Landslide Susceptibility Mapping Using Machine Learning: A Literature …
Landslide is a devastating natural disaster, causing loss of life and property. It is likely to occur more frequently due to increasing urbanization, deforestation, and climate change. Landslide susceptibility mapping is vital to safeguard life and property. This article surveys machine learning (ML) models used for landslide susceptibility mapping to understand the …
Literature Survey on Smart Bin That Segregates and …
Literature Survey on Smart Bin That Segregates and Measures the Waste using Machine Learning Mekhla Tiwary1, Ashish Kumar2, Kaushal Kumar3, Kavyashree Nayak K4, ... the Machine Learning calculation of Convolutional Neural Networks (CNN) is utilized. Around 800-1000 pictures of each class were used. As CNN is a sort
Adversarial Machine Learning in Text Processing: A Literature Survey …
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 intention to present …
A Literature Survey: Semantic Technology Approach in Machine …
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.
Literature Review of Grass Cutter Machine
machines and their performance. Current technology commonly used for cutting the grass by the manually handled device From the survey we found that various types of grass cutter available in market which are run by means of solar, electric and internal combustion engine. Grass cutters are available in market having
A Literature Review on Prediction of Air Quality Index and …
This literature review focuses on the various techniques used by different researchers in the prediction of air quality and air pollutants using machine learning.
Mini Belt Grinder
The main aim of this paper is to design vertical abrasive belts grinding machine to achieve good tolerance as well as better surface finish for various materials such as metal, glass, ceramic, …
Nguyen Thuan
grinding machine after successfully manufactured have been widely applied in addition to actual production. It is typically used as a finishing process in industry.
A Literature Survey on Optimization of Drilling Process …
A Literature Survey on Optimization of Drilling Process for Different Materials ... the drilling machine, in such cases, because of fatigue or continuous monotonous work, there is a possibility ...
Statistical and machine learning models in credit scoring: A …
This literature survey focuses on statistical, traditional and state-of-the-art machine learning models. Based on the results of this literature survey, Fig. 12 shows that LR, SVM and ANN were the most frequently used single classifiers (see Table 6 for details). For ensemble of classifiers, Boosting was the most frequently used ensemble ...
Rainfall Prediction Using Machine Learning …
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 ...
(PDF) Studies of a Rotary–Centrifugal Grain …
A scientific and technical literature review on machines designed to grind fodder grain revealed that the existing designs of grinding …
Survey on Fake News Detection using Machine learning Algorithms
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 of Fake …
[PDF] Active Learning Literature Survey
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 …
A systematic literature survey on skin disease detection …
A systematic literature survey on skin disease detection and classication using machine learning and deep learning Rashmi Yadav1 · Aruna Bhat1 Received: 15 June 2023 / Revised: 17 September 2023 / Accepted: 1 January 2024 / ... Keywords Skin diseases · CNN · Deep learning · Systematic literature · Machine learning 1 Introduction Skin ...
Autonomous grinding algorithms with future prospect towards …
Autonomous Grinding (AG) is a unique kind of manufacturing process which needs extra operative care, for both robot and environment. Due to the rapid growth of research on AG, a detailed analysis on autonomous grinding and the comparative analysis with other machining processes are gathered and listed (like calibration, contact state estimation) based on …
Alzheimer's Disease Diagnosis Using Machine Learning: A Survey …
The body of literature under consideration has been categorized and elucidated through the utilization of data-related, methodology-related, and medical-fostering components to illustrate the underlying challenges. ... and Unai Fernandez-Gamiz. 2023. "Alzheimer's Disease Diagnosis Using Machine Learning: A Survey" Applied Sciences 13, no. 14: ...
Literature Review Topics on Machine Learning for …
PHD Literature Survey Topics in Machine Learning and Deep Learning, Trending Topics for PHD Literature Survey in Machine Learning, Research Directions for PHD. Research breakthrough possible @S-Logix [email protected]. …
LITERATURE SURVEY ON STOCK PRICE PREDICTION USING MACHINE …
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 ...
Compliant grinding and polishing: A review
Compliant grinding and polishing are categorized into 5 levels that span the closed-loop of complete machine component chain. Within each category, sub-levels including …
Rainfall Prediction Using Machine Learning Models: Literature Survey
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 ...
PRODUCTIVITY IMPROVEMENT ON BORE GRINDING …
Six Sigma seeks to improve the quality of process outputs by identifying and removing the causes of defects (errors) and minimizing variability in manufacturing and business processes.
House Price Prediction using a Machine Learning Model: A Survey …
DOI: 10.5815/ijmecs.2020.06.04 Corpus ID: 230528609; House Price Prediction using a Machine Learning Model: A Survey of Literature @article{Zulkifley2020HousePP, title={House Price Prediction using a Machine Learning Model: A Survey of Literature}, author={Nor Hamizah Zulkifley and Shuzlina Abdul Rahman and Nor Hasbiah Ubaidullah and Ismail Ibrahim}, …
a literature review on mining machines
literature on internal grinding machine. literature survey on grainding machine. literature survey pdf on grinding machine- literature review for grinding machines,literature survey pdf on grinding, The literature survey revealed that not only the specific surface of the final, Design Parameters of the Grinding Equipment at the Pilot Plant,,,,,111.
Autonomous grinding algorithms with future prospect …
Grinding is a harder machining operation than other existing machining operations. In this paper, autonomous grinding-based machining is surveyed, and a comparative …
A literature survey of active machine learning in the …
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 the data used for learning. …