Imbalanced student performance data in educational institutions is crucial for any machinelearning prediction model. It affects the efficiency of classifiers and challenges the sampling methods for having a more sign...
详细信息
The goal of the "Heart Disease Predictor" project is to create an AI-powered tool for cardiovascular disease (CVD) early detection and prevention. User requests are analysed through surveys and field trips, ...
详细信息
Quantum machinelearning uses principles from quantum mechanics to process data, offering potential advances in speed and performance. However, previous work has shown that these models are susceptible to attacks that...
详细信息
ISBN:
(纸本)9798331541378
Quantum machinelearning uses principles from quantum mechanics to process data, offering potential advances in speed and performance. However, previous work has shown that these models are susceptible to attacks that manipulate input data or exploit noise in quantum circuits. Following this, various studies have explored the robustness of these models. These works focus on the robustness certification of manipulations of the quantum states. We extend this line of research by investigating the robustness against perturbations in the classical data for a general class of data encoding schemes. We show that for such schemes, the addition of suitable noise channels is equivalent to evaluating the mean value of the noiseless classifier at the smoothed data, akin to Randomized Smoothing from classical machinelearning. Using our general framework, we show that suitable additions of phase-damping noise channels improve empirical and provable robustness for the considered class of encoding schemes.
In this study, machinelearning calculations such as Support Vector machine (SVM), K-Nearest Neighbours (KNN), Logistic Regression, and Random Forest are explored to classify cardiac arrhythmias utilizing Electrocardi...
详细信息
Artificial Intelligence (AI) is a disruptive technology that has the potential of reshaping businesses due to countless new applications. AI is transforming healthcare systems via emerging solutions in medical researc...
详细信息
ISBN:
(纸本)9798350367607;9798350367591
Artificial Intelligence (AI) is a disruptive technology that has the potential of reshaping businesses due to countless new applications. AI is transforming healthcare systems via emerging solutions in medical research, patient care, and management operations. The present work analyzes AI's subset applications in health, AI healthcare ecosystem, and future AI health trends.
In India, Agriculture plays a pivotal role in the Indian economy, contributing approximately 17% to the total GDP and employing over 60% of the population. Not only in India, agriculture sector is one of the most impo...
详细信息
作者：
Khadse, ShrikantGourshettiwar, PalashPawar, Adesh
Faculty of Engineering and Technology Wardha442001 India
Faculty of Engineering and Technology Department of Computer Science and Medical Engineering Wardha442001 India
Department of Computer Science and Medical Engineering Maharashtra Wardha442001 India
Meta-learning aims to create Artificial Intelligence (AI) systems that can adapt to new tasks and improve their performance over time without extensive retraining. The advent of meta-learning paradigms has fundamental...
详细信息
Despite fast population growth, agriculture supplies food for all people. Early detection of plant diseases is advocated as it is essential to making certain the entire population has an abundance of food. However, it...
The integration of machinelearning (ML) and Internet of Things (IoT) technologies has a scope of improvement in precision farming techniques and revolutionise the agriculture sector. This research paper examines the ...
详细信息
The art of creating systems which are more intelligent and which exhibit more programs are ventured over several scientific and engineering applications. We don't need any biological reference to any AI related fu...
详细信息
暂无评论