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Heart disease prediction using machine learning

Heart disease prediction using machine learning

引用

International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023

作者： Julian, Anitha Deepika, R. Geetha, B. Jeslin Sweety, V. Department of Computer Science and Engineering Saveetha Engineering College Chennai India

ISBN: (纸本)9781032669663

Anticipating and diagnosing coronary illness is the greatest test in the clinical business and depends on variables like the actual assessment, side effects and indications of the patient. Factors that impact coronary illness are body cholesterol levels, smoking propensity and corpulence, family background of diseases, pulse, and workplace. Coronary illness can be anticipated in light of different side effects, for example, age, orientation, pulse, and so on and lessens the demise pace of heart patients. In this task, we will be intently working with the coronary illness expectation. The coronary illness dataset from that dataset we will determine different experiences that assist us with knowing the weightage of each element and how they are interrelated to one another. Our only point is to recognize the likelihood of individual that will be impacted by a heart issue or not. We are utilizing K-Closest Neighbor (KNN) to foresee the exactness. © 2024, CRC Press/Balkema. All rights reserved.

关键词： Machine learning

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Smart fish monitoring system using IoT

Smart fish monitoring system using IoT

引用

International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023

作者： Divya, T. Ramyadevi, R. Vijaya Chamundeeswari, V. Department of Computer Science and Engineering Saveetha Engineering College Chennai India

ISBN: (纸本)9781032669663

Smart fish monitoring system using IoT used to maintain a fresh water in the aquarium for aqua life environment. It features to monitor the freshness of the water for healthier aqua life environment. This proposed system works as a fish feeding system which can be controlled by a portable mobile phone in its operation even when not in close vicinity. This system works based on IoT and makes sure that the observation of the aquarium can be done via an application on the mobile phone or via the dashboard provided by Arduino IoT Cloud in the laptop. System uses various calibrated sensors to monitor the water level, temperature readings of the tank or small ponds. Apart from that air pump, water heater and fish feeding process can be turned on or off based on the input from the user from the application. For this proposed design distance, is never an issue. This helps you to feed your fishes with just the press of a button on your phone. It also gives you access to turn off and on the air pump in the aquarium as per your wish. Apart from this, the temperature conditions in your fish tank are constantly monitored and if the temperature gets anywhere below the certain range, it ensures that the water heater is automatically turned on and regulated as needed. Apart from this it has a water level monitor which helps notify you when the water level has reduced below a certain point. © 2024, CRC Press/Balkema. All rights reserved.

关键词： Water pollution

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Attacks and Defenses Against Poison and Evasion Attacks on COVID-19 Detection Models 2

Attacks and Defenses Against Poison and Evasion Attacks on C...

引用

2nd International Conference on Emerging Trends in Information Technology and engineering, ic-ETITE 2024

作者： Doss P, Lourdu Mahimai Gunasekaran, M. Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350328202

COVID-19 detection models are crucial for accurately identifying infected individuals during the pandemic. However, these models face vulnerabilities to attacks, such as the Projected Gradient Decent (PGD) algorithm, which aims to deceive the models by generating slight modifications to input data to cause misclassification. This research investigates the PGD algorithm as an attacking technique on COVID-19 detection models and proposes effective defense strategies to counter its impact. The results highlight the importance of developing defenses against the PGD algorithm to safeguard COVID-19 detection models. By integrating Data Sanitization mechanisms, the models' ability to resist adversarial attacks is enhanced, ensuring their accuracy and reliability in identifying infected individuals. By understanding the intricacies of the PGD algorithm and implementing effective defense strategies, stakeholders can strengthen the security and trustworthiness of COVID-19 detection models. This research contributes to the development of resilient models, facilitating their reliable deployment in critical healthcare settings and public health interventions while mitigating the risks associated with adversarial attacks. © 2024 IEEE.

关键词： COVID-19

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Exploring Hyperparameter Tuning Strategies for Optimizing Model Performance 2

Exploring Hyperparameter Tuning Strategies for Optimizing Mo...

引用

2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 2024

作者： Julian, Anitha Devipriya, R. Saveetha Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350384277

The proposed work explores different machine learning hyperparameter tuning techniques to maximize model performance. By systematically adjusting hyperparameters, such as learning rates, regularization strengths, and network architectures, models can better capture underlying patterns in data and improve predictive accuracy. The study looks on commonly utilized hyperparameter tuning techniques. The benefits, drawbacks, and suitability for various situations of each technique are examined. Furthermore, the efficiency and scalability of automated frameworks for hyperparameter tuning are assessed to maximize model performance. The information gathered from this study provides practitioners and researchers with helpful guidance for optimizing their machine learning models through hyperparameter adjustments. © 2024 IEEE.

关键词： Adversarial machine learning

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A YOLO - Based Approach for Object and Distance Detection with Speech Output

A YOLO - Based Approach for Object and Distance Detection wi...

引用

2024 OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry 4.0, OTCON 2024

作者： Karsanth, K. Saveetha Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (数字)9798350373783

ISBN: (纸本)9798350373783

This paper introduces a novel approach to real-time distance detection, employing the state-of-the-art YOLO (You Only Look Once) algorithm. Our system seamlessly integrates YOLO's object recognition capabilities with distance estimation, providing a comprehensive solution for visually impaired individuals. The proposed system employs speech output to convey detected objects and their respective distances, enhancing accessibility and autonomy for users with visual impairments. Experimental results demonstrate the effectiveness and efficiency of our approach in various scenarios, marking a significant advancement in assistive technology © 2024 IEEE.

关键词： Object recognition

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Understanding Global Warming: An In-depth Analysis and Future Predictions 5

Understanding Global Warming: An In-depth Analysis and Futur...

引用

5th IEEE International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024

作者： Julian, Anitha Umar Mohammed, E. Saveetha Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350383522

This research conducts a comprehensive analysis of global warming trends by integrating Earth surface temperature, CO2 emissions, and world population data. Applying sophisticated machine learning models (SARIMAX, ARIMAX, VAR, VECM), the study uncovers complex interplays between these variables and provides accurate future trend predictions. The data collection and preprocessing ensure reliability, while the analysis of Earth surface temperature identifies the patterns. The investigation into the relationship between CO2 emissions and climate dynamics reveals the impact of human activities. Exploring the correlation between world population growth and environmental repercussions, Machine learning models scrutinize population trends. Predictive modeling using SARIMAX, ARIMAX, VAR, and VECM forecasts future trends, validated for accuracy. Conclusions emphasize the unique contributions of each model, discussing implications for climate change mitigation. Future research should focus on recommendations that aim to refine predictions, contributing valuable insights to the ongoing dialogue on global warming for evidence-based decision-making toward a sustainable future. © 2024 IEEE.

关键词： ARIMAX correlation interplays mitigation predictions preprocessing SARIMAX VAR VECM

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Machine Learning Powered Genre Prediction for Next Level Book Recommendations 5

Machine Learning Powered Genre Prediction for Next Level Boo...

引用

5th IEEE International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024

作者： Julian, Anitha Pavithra, B. Saveetha Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350383522

The proposed work delves into how recommender systems, like those on YouTube and Amazon, shape our online experiences, particularly in book recommendations. It addresses the challenge of the 'cold start problem' with the help of a Popularity-based recommender initially, adapting to personalized suggestions through Collaborative Filtering as users engage. This dual approach aims for a comprehensive system that overcomes challenges in new user on boarding and adapts to evolving preferences. The importance of continuous evaluation is emphasized for ongoing effectiveness. In a separate study, the research explores the application of Natural Language Processing (NLP) in predicting book genres. It uses algorithms to analyze textual data, employing techniques like Exploratory Data Analysis (EDA) to uncover patterns. The modeling phase involves text classification algorithms, contributing to a deeper understanding of genre prediction through the application of NLP techniques. © 2024 IEEE.

关键词： collaborative filtering continuous evaluation Exploratory Data Analysis (EDA) genre prediction Naive Bayes Natural Language Processing (NLP) Popularity-based recommendation Recommendation system text classification algorithms

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Data-Driven Decisions: A Machine Learning Perspective on Loan Authorization 6

Data-Driven Decisions: A Machine Learning Perspective on Loa...

引用

6th IEEE International Conference on Emerging Smart Computing and Informatics, ESCI 2024

作者： Julian, Anitha Booshanram, R. Saveetha Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350306613

The banking sectors are provided with many aspects for their operations and act as the interface for customer requests. The main objective of banks is to invest their assets in safe customers. Nowadays banks are ready to provide loans for specific customers and expect certain requirements to approve the loan requested by the customers. They implement various techniques to select the right customer. Technology had grown enough to handle such complicated tasks more easily. Machine learning technology helps to cope with this. The proposed solution works with machine learning models like Decision Trees, Logistic Regression, Linear Discriminant Analysis, Support Vector classifiers, Random Forest, K-nearest neighbors, and Naive Bayes. These algorithms help predict results by choosing the algorithm that exhibits the best accuracy. The proposed work experiments with classification models with different dataset sizes, building up a model with a greater number of data samples and a smaller number of data samples, and checking their accuracy scores as well. Applying the best option to the loan approval procedure is possible. © 2024 IEEE.

关键词： accuracy bank loans dataset different sizes linear discriminant analysis loan prediction safe customers

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Blockchain based application programming interface market place

Blockchain based application programming interface market pl...

引用

International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023

作者： Balaji, Thoguru Kishore, Valliveti Ali, Shaik Afzal Anand, Vijay Department of Computer Science and Engineering Saveetha Engineering College Chennai India

ISBN: (纸本)9781032669663

By eliminating the need to sign up for hundreds of centralised services all over the world and develop APIs for each of them, blockchain paves the way for data suppliers and users to exchange information directly in a single, open system. The blockchain application programming interface (API) is widely used in app development services. The API of a programme (module, library) outlines the features it offers while hiding the implementation details. APIs allow different pieces of software to communicate with one another. Components in this situation often form a hierarchy, with the highest-level components utilising the API of the lowest-level components, and so on. This is the foundation upon which Internet data-transfer protocols are *** paper explain the structure for a decentralized marketplace which is blockchain-based for APIs that allows the participants in the API perimeter to monitor actions of all other activities by not relying on the central authority. In particular, our technology partitions AI models into smaller chunks before distributing them to various cloud providers (CV) for coordinated API execution. As a result of our design, it is impossible for many cloud providers to work together to steal a single model, and it is also impossible for cloud providers or their clients to deny responsibility for their contributions to the model or its execution. © 2024, CRC Press/Balkema. All rights reserved.

关键词： Blockchain

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Surveillance of species at risk by unarmed aerial vehicles

Surveillance of species at risk by unarmed aerial vehicles

引用

International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023

作者： Vijaya Chamundeeswari, V. Sujith Varshan, G. Sanjay Kumar, Y. Sudarson, A.M. Department of Computer Science and Engineering Saveetha Engineering College Chennai India

ISBN: (纸本)9781032669663

A Living being or an organism that is about to vanish from this world will come under the category of Endangered *** Explanation for their state vary from time to time but few important reasons are loss of habitat and loss of genetic variation. These organism will attain the state of endangered when their population is below 30% and it no proper source for its lack of growth. The reason for being endangered species are – Population reduction rate, Geographical range, Population size and Population restriction, Poaching. Many different species are adversely affected by poaching. Different Laws have been sanctioned in order to protect the endangered species in many countries. Forbid hunting, Restrict land development, or Create protected areas are some of the measures for their growth. Some species are even taken away from their habitat in order to ensure their existence, This is called as extensive conservation *** breeding and habitat restoration are the few examples of the above. Many efforts have been made in order to restrict the *** Cameras, Drones and DNA tracking are the some of the methods and their probablitiy of success differs with each other. These systems are static in nature whereas the solution this provides is that with the help of Drone system with high resolution image capturing system the endangered species can be monitored along with their habitat. The advantage of using this system is the range is dynamic and precision is accurate. With the help of image processing technique endangered species is segregated and monitored from the rest of the species. © 2024, CRC Press/Balkema. All rights reserved.

关键词： Antennas

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