Epilepsy disease is a neurological condition marked by recurring seizures that has a big effect on people's life. Effective management and therapy depend on a prompt and correct diagnosis. The traditional methods,...
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The World Health Organization (WHO) has designated the COVID-19 pandemic a global health emergency, prompting responses all over the world. The fatality rate is between 2% and 5%, and millions of people around the wor...
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作者：
Butola, RajatLi, YimingKola, Sekhar ReddyNational Yang Ming Chiao Tung University
Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program Hsinchu300093 Taiwan Institute of Pioneer Semiconductor Innovation
The Institute of Artificial Intelligence Innovation National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program The Institute of Communications Engineering the Institute of Biomedical Engineering Department of Electronics and Electrical Engineering Hsinchu300093 Taiwan
In this work, a dynamic weighting-artificial neural network (DW-ANN) methodology is presented for quick and automated compact model (CM) generation. It takes advantage of both TCAD simulations for high accuracy and SP...
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Thyroid disorders represent a significant global health challenge with hypothyroidism and hyperthyroidism as two common conditions arising from dysfunction in the thyroid *** and timely diagnosis of these disorders is...
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Thyroid disorders represent a significant global health challenge with hypothyroidism and hyperthyroidism as two common conditions arising from dysfunction in the thyroid *** and timely diagnosis of these disorders is crucial for effective treatment and patient *** research introduces a comprehensive approach to improve the accuracy of thyroid disorder diagnosis through the integration of ensemble stacking and advanced feature selection *** forward feature selection,sequential backward feature elimination,and bidirectional feature elimination are investigated in this *** ensemble learning,random forest,adaptive boosting,and bagging classifiers are *** effectiveness of these techniques is evaluated using two different datasets obtained from the University of California Irvine-Machine Learning Repository,both of which undergo preprocessing steps,including outlier removal,addressing missing data,data cleansing,and feature *** experimentation demonstrates the remarkable success of proposed ensemble stacking and bidirectional feature elimination achieving 100%and 99.86%accuracy in identifying hyperthyroidism and hypothyroidism,*** enhancing detection accuracy,the ensemble stacking model also demonstrated a streamlined computational complexity which is pivotal for practical medical *** significantly outperformed existing studies with similar objectives underscoring the viability and effectiveness of the proposed *** research offers an innovative perspective and sets the platform for improved thyroid disorder diagnosis with broader implications for healthcare and patient well-being.
This paper uses YOLO deep learning to create a predict system for Meteorological Service for Air Navigation with a total of 5 types of forecast results: BKN, CAVOK, FEW, OVER and SCT. Indicative information for evalua...
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Logic locking proposed to protect integrated circuits from serious hardware threats has been studied extensively over a decade. In these years, many logic locking techniques have been proven to be broken. The state-of...
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—Battery electric buses (BEBs) are known for being eco-friendly transportation in smart cities. They are cost-effective compared to their diesel counterpart if BEBs are charged efficiently. There are two main chargin...
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The Internet of Things is a network of physical objects like sensors, actuators, and software. The purpose of connecting is to exchange data with other objects and systems over the internet, enabling us to enhance dat...
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Global trading is undergoing significant changes, necessitating modifications to the trading strategies. This study presents a newly developed cloud-based trading strategy that uses Amazon Web Services (AWS), machine ...
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Purpose:Borsa Istanbul 100 Index,known as BIST100,is the main indicator to measure the performance of the 100 highest stocks publicly traded in Borsa Istanbul concerning market and trading *** 100 index prediction is ...
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Purpose:Borsa Istanbul 100 Index,known as BIST100,is the main indicator to measure the performance of the 100 highest stocks publicly traded in Borsa Istanbul concerning market and trading *** 100 index prediction is a popular research domain for its complex data structure caused by stock price,commodity,interest rate and exchange rate *** study proposed hybrid models using both Genetic,Particle Swarm Optimization,Harmony Search and Greedy algorithms from metaheuristic algorithms approach for dimension reduction,and MARS for ***/methodology/approach:This paper aims to model in the simplest way through metaheuristic algorithms hybridized with the MARS model the effects of stock,commodity,interest and exchange rate variables on BIST 100 during the Covid-19 pandemic period(in the process of closing)between January 2020 and June ***:The most suitable hybrid model was chosen as PSO&MARS by calculating the RMSE,MSE,GCV,MAE,MAD,MAPE and R2 measurements of training,test and overall dataset to check every model’s *** results demonstrated that the proposed PSO&MARS hybrid modeling procedure gave results both as good as the MARS model and a simpler and non-complex model ***/value:Using metaheuristic algorithms as a supporting tool for variable selection can help to identify important independent variables and contribute to the establishment of more non-complex ***,test and overall dataset to check every model’s efficiency.
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