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检索条件"任意字段=7th International Conference on Machine Learning and Soft Computing, ICMLSC 2023"

共 783 条记录，以下是41-50 订阅

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Artificial Intelligence, machine learning, and Natural Language Processing Capabilities in Modern Business Intelligence 7

Artificial Intelligence, Machine Learning, and Natural Langu...

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2023 7th international conference On computing, Communication, Control And Automation, ICCUBEA 2023

作者： Ukhalkar, Prakash Bhate, Manasi Hingane, Suraj Pimpri Chinchwad College of Engineering Mca Department Pune India MES's Institute of Management and Career Courses Mca Department Pune India Abhinav Education Society's Institute of Management and Research Mca Department Pune India

ISBN: (纸本)9798350304268

Operational business intelligence capabilities in modern business applications demand the simultaneous processing of analytical queries and business transactions using the same data. Mixed workloads become the result of this. the business sector is being disrupted by artificial intelligence, machine learning, and natural language processing. the voice-based search, high-tech and telecommunications, automotive and assembly, and financial services industries are just a few of the sectors setting the pace for adopting these particular technologies. this study demonstrates that real-time analysis, machine learning, and natural language processing are essential for current business intelligence systems to make well-informed decisions and provide company value across various industries. © 2023 IEEE.

关键词： Artificial Intelligence BI Tools Business Intelligence machine learning Natural Language Processing

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2023 7th international conference On computing, Communication, Control And Automation, ICCUBEA 2023

2023 7th International Conference On Computing, Communicatio...

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2023 7th international conference On computing, Communication, Control And Automation, ICCUBEA 2023

ISBN: (纸本)9798350304268

the proceedings contain 326 papers. the topics discussed include: kidney localization and stone segmentation from a CT scan image;a research survey on traffic management, accident detection and emergency notification systems to improve society health;YOLO on GPU implementation for a vision-based fruit select and place system with a 5-DOF robotic arm;machine learning approach in melanoma cancer stage detection;unleashing the potential of convolutional neural networks for automated depression detection using audio modality;artificial intelligence, machine learning, and natural language processing capabilities in modern business intelligence;performance evaluation of various risk importance measures for large scale grid-connected solar photovoltaic systems;and automated generation of OpenSCENARIO scenarios for evaluating advanced driver assistance systems.

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A Survey on Drug Suggestion Mechanisms using machine learning Algorithm 7

A Survey on Drug Suggestion Mechanisms using Machine Learnin...

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7th international conference on Intelligent computing and Control Systems, ICICCS 2023

作者： Aravind, S. Sivakumar, V. Vellore India Vellore India

ISBN: (纸本)9798350397253

this research study intends to bring convenience to any user to find the appropriate medicine that suits them. the application finds the brand and name of medicine that has the least side-effects and lack harmful chemicals. the primary objective of this research study is to design a prototype for a computer software that would make it simpler and more straightforward for users to evaluate the potential utility of a new pharmaceutical product in an unbiased manner. © 2023 IEEE.

关键词： User interfaces

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Systematic Review of Deep learning Models for Dental Images 7

Systematic Review of Deep Learning Models for Dental Images

引用

7th international conference on computing Methodologies and Communication, ICCMC 2023

作者： Usha Kiruthika, S. Priya, J. Kanaga Suba Raja, S. Department of Computer Science and Engineering National Institute of Technology Tiruchirappalli India Easwari Engineering College Chennai India

ISBN: (纸本)9781665464086

Dental practitioners use digital radiographs in conjunction with clinical diagnosis to examine dental disorders of patients. Automation in dental imaging in an effort to lighten the workload of dentists is a rising subject of study within the ever-expanding healthcare sector. Recognition of similar patterns coupled with deep learning tasks is a major boon to the dental industry in the automatic diagnosis of dental diseases by examining complex anatomy. Rather than traditional image processing and machine learning, the development of deep learning algorithms has made autonomous feature extraction possible without the assistance of a human. the current study briefly discusses the robust deep learning architectures adopted for the automation of dental imaging tasks like object detection, segmentation, and classification tasks. Along with offering fresh viewpoints on this fascinating new development in the discipline, we also point out some shortcomings such as blurry edges, overfitting and within-label variation with the need for potential improvement in the discipline of dental radiology adopting deep learning techniques to focus on content-rich information in the dental radiographs. © 2023 IEEE.

关键词： Object detection

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A Hybrid Flood Forecasting Approach Using Hidden Markov Model and machine learning Techniques 7

A Hybrid Flood Forecasting Approach Using Hidden Markov Mode...

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2023 7th international conference On computing, Communication, Control And Automation, ICCUBEA 2023

作者： Sri Sakthi, L. Chitra, P. Harini Sree, M.S. Subbulakshmi, P. Umayal, C. Thiagarajar College of Engineering Dept. of Computer Science and Business Systems Madurai India

ISBN: (纸本)9798350304268

Floods are one of the most common and adverse disasters that the world faces. In India, floods are seemed as the disaster that happens often and pose extreme risk to lives and belongings. Forecasting floods can greatly reduce the risk and effect of the forthcoming flood. A large quantity of parameters is answerable for flood occurrence. the amount of rainfall and temperature are the most vital parameters for inflicting floods. Hence rainfall and temperature are used as determinants inside the look at. machine learning model such as logistic regression, Naive bayes, k-Nearest neighbours, support vector machines (SVM) and random forests generally generate a model or computation method to label the results. Further, in latest days, hybridization techniques are expected to yield better results, wherein multiple models are combined to provide a new model. the proposed work is to develop a hybrid model called HMM-ML which includes Hidden Markov model with the above cited ML models. as a result, HMM acts as a first-class-tuner to stimulate the model. the developed model is validated against the region Kozhikode located in the State of Kerala, India which gets the maximum amount of rainfall during the period between June - August. © 2023 IEEE.

关键词： Flood prediction Hidden Markov Model(HMM) Hybridization machine learning (ML) Rainfall Temperature

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Spam Email Filtering using machine learning Algorithm 7

Spam Email Filtering using Machine Learning Algorithm

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7th international conference on computing Methodologies and Communication, ICCMC 2023

作者： Komarasamy, Dinesh Duraisamy, Oviya Mohana Saranya, S. Krishnamoorthy, Sandhiya Rajendran, SanjeevKumar Dharani, M.K. Computer Science and Engineering Kongu Engineering College Erode India

ISBN: (纸本)9781665464086

Email is one of the most used modes of communication by many industries and IT sectors. Even common people used to communicate through email about business related information over the internet. As technology grows, the threat to the individual has also been increased. In the Email system, the threat takes the form of spam email. there are several existing spam filtering methods currently in use including knowledge-based techniques, learning-based techniques, clustering methods, and so on. the proposed work provides an overview of several existing methods that use machine learning techniques such as Naive Bayes, Support Vector machine, Random Forest, Neural Network and formulated new model with improved accuracy. However, in this work, the discussion and consolidated analysis has been done by comparing several email spam filtering techniques. © 2023 IEEE.

关键词： Support vector machines

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Water Quality Analysis and Prediction using machine learning 7

Water Quality Analysis and Prediction using Machine Learning

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7th international conference on computing Methodologies and Communication, ICCMC 2023

作者： Brindha, D. Puli, Viswanath Bala Karthik Sobula, N.V.S.S. Mittakandala, Vamsi Stephen Nanneboina, Guru Dinesh Coimbatore India

ISBN: (纸本)9781665464086

the main objective of this research is to estimate the water quality using machine learning technique. Water is considered as a vital resource that has an impact on many facets of human health and existence. People who live in metropolitan areas are often concerned about the quality of the water as it is critical to monitor the quality of water. Water sample collection and laboratory analysis are time and resource-intensive processes. Analyzing water quality is a complicated subject because of the many variables that affect it. this concept is inextricably linked to the various purposes for which water is used. the goal of this study is to estimate water quality by acquiring several parameters, and using the machine learning method, Random Forest regression. In this case, the model uses parameters like pH, turbidity, dissolved oxygen, conductivity, and others. © 2023 IEEE.

关键词： Water quality

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A Novel Model for Prediction of Next Word using machine learning 7

A Novel Model for Prediction of Next Word using Machine Lear...

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7th international conference on Intelligent computing and Control Systems, ICICCS 2023

作者： Chilukuri, Prathima Reddy, K Naveen Kumar Divyanjali, K.N.V.S. Royal, L Javali Chandana, M Hari Krishna, D Murali Andhra Pradesh Tirupati India Sree Vidyanikethan Engineering College Tirupati India

ISBN: (纸本)9798350397253

Prediction of next word is also known as language modeling and is an application of Natural Language Processing which helps in next word prediction. In the past, several studies employed various models to predict the outcomes, including federated text models and recurrent neural networks. In the suggested model, machine learning and TensorFlow techniques will be used to predict the five words. the text is understood by the machine learning algorithms, which then anticipate the next word to be used to finish the phrase. the proposed model helps the user to predict the next word. the model will be implemented using natural processing language algorithms and comparing the algorithms by using Wikipedia text files to train the model. © 2023 IEEE.

关键词： Recurrent neural networks

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Parametric Analysis of a Cricketer's Performance using machine learning Approach 7

Parametric Analysis of a Cricketer's Performance using Machi...

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7th international conference on Intelligent computing and Control Systems, ICICCS 2023

作者： Vestly, Doddamani John Hariharan, Shanmugasundaram Kukreja, Vinay Prasad, Andraju Bhanu Swaraj, Kondawar Gopichand, Devarakonda Vardhaman College of Engineering Department of Computer Science and Engineering Hyderabad India Chitkara University Institute of Engineering and Technology Chitkara University Department of Computer Science and Engineering Punjab India

ISBN: (纸本)9798350397253

this paper aimed to suggest the appropriate way to analyze the performance related to cricket players based on some predominant parameters such as batting, bowling, fielding, and overall contribution to the team success. In order to fetch the good result and success in cricket match, it is important to select the best players for the match. this is considered to be one of the crucial decision successful match outcomes. Eventually right actions and right decisions leads to success. these actions and decisions can be made through perfect selection of the machine learning algorithms with correct data sets and accurate attributes as well. this study makes recommendations for the best data source, approximate properties, and machine learning techniques. this paper aims to identify the factors that contribute to good performance and to provide insights that can be used by coaches and selectors in identifying and developing talented players. © 2023 IEEE.

关键词： machine learning

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Analyzing Data Scientist Salaries Dataset through machine learning Algorithms Using Tool 'Orange' 7

Analyzing Data Scientist Salaries Dataset Through Machine Le...

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2023 7th international conference On computing, Communication, Control And Automation, ICCUBEA 2023

作者： Mittal, Shikha Monga, Chetna Bansal, Ankit Singla, Neeraj Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350304268

the buzz surrounding artificial intelligence has made machine learning a hot topic right now. Although there are many tools for visualising data, scripting languages are primarily used for model training. the Orange Data Mining tool gives you a lot of ways to change how data is preprocessed, how it is displayed, how models are trained, and how models are tested. In order to establish which strategy has the best Classification Accuracy and Precision, the proposed research uses machine learning techniques to predict the size of an organization based on a variety of parameters, including employee experience, income, job type, employee type, etc. the effectiveness of various machine learning techniques, including Naive Bayes, random forests, support vector machines, neural network, logistic regression, was evaluated. Classification Accuracy evaluations are performed by cross validation. For this paper, we consulted the Kaggle dataset. © 2023 IEEE.

关键词： classification confusion matrix cross validation employee dataset machine learning orange tool for data mining

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