2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)最新文献_第8页

Pseudo-Resistor based Low-Power Differential Voltage Comparator 基于伪电阻的低功耗差分电压比较器

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169735

Settem Sasidhar Reddy, G. Reddy

引用次数: 0

Innovative Method for Earthquake Prediction System using Hybrid Convolutional Neural Network and SVM 基于卷积神经网络和支持向量机的地震预测系统创新方法

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169206

N. Rajkumar, N. Kanimozhi, P. Saravanakumar, Sireesha Koneru, Puneet K Sapra, Ravi Rastogi

引用次数: 1

Control and Design of an Electric Vehicle Battery Charger Utilizing Solar PV System 利用太阳能光伏系统的电动汽车电池充电器控制与设计

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169324

Arnab Banerjee, Sarita Samal, S. R. Ghatak, A. Mohapatra, Padarbinda Samal, P. K. Barik

{"title":"Control and Design of an Electric Vehicle Battery Charger Utilizing Solar PV System","authors":"Arnab Banerjee, Sarita Samal, S. R. Ghatak, A. Mohapatra, Padarbinda Samal, P. K. Barik","doi":"10.1109/ICAIA57370.2023.10169324","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169324","url":null,"abstract":"The development of electric vehicles (EVs) has resulted in an increase in the automotive sector over the past years. The battery charging mechanism is vital to the progress of EVs. However, EV battery charging from the grid raises the system’s load demand and ultimately rises energy prices for EV owners, necessitating the usage of alternative energy sources. Renewable energy sources(RES) can be utilized to charge an EV battery due to their unlimited availability and pollution-free. Solar PV is one of the easily accessible RES that is promising and can be used to power EV batteries. If solar PV is used in conjunction with a dc-dc converter, backup battery bank, and three-phase bidirectional converter, the EV battery will always be charged regardless of solar irradiation. So,in this study, a solar PV array with a modified sepic dc-dc converter for high efficiency and a lithium-ion battery because it is widely used are chosen. The suggested method has the ability to charge the EV battery during both sunny and cloudy periods.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130895156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of Machine Learning in Driver Drowsiness Detection 机器学习在驾驶员睡意检测中的应用

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169668

Megha Bhushan, Deepankar Joshi, Tavleen Kaur Gujral, Sinku Kumar Singh, Aishbir Singh, Arun Negi

{"title":"Application of Machine Learning in Driver Drowsiness Detection","authors":"Megha Bhushan, Deepankar Joshi, Tavleen Kaur Gujral, Sinku Kumar Singh, Aishbir Singh, Arun Negi","doi":"10.1109/ICAIA57370.2023.10169668","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169668","url":null,"abstract":"In today’s world, road accidents are mainly caused due to drunken driving, or a driver being fatigued. Therefore, the best way to judge whether the driver is feeling fatigue or not is by checking the state of the driver i.e., drowsiness. With the increase in the road accidents, driver drowsiness detection has become an important factor and is widely accepted. Determining the number of accidents caused by driver drowsiness has become quite difficult as it is not considered most of the time. The shift from feeling fatigue to snoozing usually goes unnoticed by the driver. This led to the requirement of addressing this issue by creating a driver drowsiness detection system to decrease the accidents caused due to drowsiness. Few parameters should be considered to develop such application. One of these parameters includes counting the number of eye blinks in a particular period. The proposed work will keep a record of the eye movements continuously. If the driver is proven to be drowsy then a warning alarm will be initiated. To implement the proposed application, OpenCV library and ML algorithms have been used. This work will benefit in saving several human lives by avoiding road accidents.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133874035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analyzing False Positives in Bankruptcy Prediction with Explainable AI 用可解释的人工智能分析破产预测中的误报

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169390

Akshat Mahajan, K. K. Shukla

引用次数: 0

An Early Prognosis of Lung Cancer using Machine Intelligence 利用机器智能预测肺癌的早期预后

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169432

Akash Vishwakarma, Aditya Saini, Kalpana Guleria, Shagun Sharma

{"title":"An Early Prognosis of Lung Cancer using Machine Intelligence","authors":"Akash Vishwakarma, Aditya Saini, Kalpana Guleria, Shagun Sharma","doi":"10.1109/ICAIA57370.2023.10169432","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169432","url":null,"abstract":"Cancer is a disease in which the body cells start growing uncontrollably and spreads all over the body. Mostly, the cancer symptoms appear only in the advanced stages. This disease is very complex in terms of its diagnosis in the early stages which results in a high mortality rate. Thus, there is a requirement for cancer to be diagnosed at its early stages which may result in better survival chances and the patients can be treated successfully. The dose-limiting toxicity in lung cancer radiotherapy (RT) is radiation pneumonitis (RP). Cancer characteristics and treatment features are intertwined, resulting, in RP associated with a single parameter is not always possible. This study aims to determine the algorithms which are most accurate for lung cancer prediction. As per the study by WHO, it has been found that in the year 2020, a total of 2.21 million people were diseased with lung cancer resulting in 1.80 million deaths all over the globe. In India, each year almost 70,000 active cases of lung cancer are identified. Early detection plays an important role in saving lives because it can give a patient a better chance to cure and recover. In recent times, different computer technologies are used for solving the problems of cancer detection. In this work, several types of machine-learning algorithms such as Naive Bayes (accuracy 96.61%), Decision tree (accuracy 91.52%), Random forest (accuracy 93.22%), Logistic Regression (accuracy 96.61%), Multilayer perceptron (accuracy 98.30%) have been utilized for predicting lung cancer. Among all of these algorithms, multilayer perceptron is the best algorithm to diagnose lung cancer.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131046914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Comprehensive Survey on Weed Identification in Agriculture using Machine Learning 利用机器学习进行农业杂草识别的综合调查

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169741

N. Harish Kumar, C. Datta Shashank, N. Adithya, Abhiram Galla, B. Likeith, G. Deepak

{"title":"A Comprehensive Survey on Weed Identification in Agriculture using Machine Learning","authors":"N. Harish Kumar, C. Datta Shashank, N. Adithya, Abhiram Galla, B. Likeith, G. Deepak","doi":"10.1109/ICAIA57370.2023.10169741","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169741","url":null,"abstract":"Unchecked weed growth can seriously affect crop yield and quality. Excessive use of herbicides to control weed growth is harmful to the environment. Identifying areas infested with weeds helps in the selective chemical treatment of those areas. Similarly, we can also implement precision spraying techniques for the crops. Advances in farm image analysis have created a solution for identifying weedy plants. However, these are supervised learning methods that require many manually annotated images. Hence, these approaches are not economically feasible for individual farmers due to the wide variety of crop species grown. In this review, algorithms, such as CNN and CNN-based algorithms, K-Means, SVM, Fuzzy algorithms, Hough transform and Gabor filter and others to accurately estimate weed distribution and density are covered in detail. Deep-learning-based methods to robustly estimate weed density and distribution are discussed in detail in this review. In this paper, an overview of image segmentation methods, detection approaches and various classification techniques are identified. Further, the existing solutions are presented with their own challenges.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115334388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rainfall time series forecasting using ARIMA model 基于ARIMA模型的降雨时间序列预测

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169493

Swagatam Bora, Abhilash Hazarika

{"title":"Rainfall time series forecasting using ARIMA model","authors":"Swagatam Bora, Abhilash Hazarika","doi":"10.1109/ICAIA57370.2023.10169493","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169493","url":null,"abstract":"The Northeastern region of India, especially Assam and Meghalaya receive very heavy rainfall in the months of monsoon, which results in repeated loss of property, life and resources every year. This study aims to predict the rainfall distribution pattern over Assam and Meghalaya for the next five years. From the data available at Indian Meteorological Department’s website of the daily rainfall distribution pattern of the two regions, a time series has been created. This time series has been used to forecast the rainfall distribution pattern using an ‘Auto Regressive Integrated Moving Average’ (ARIMA) model. ARIMA (0,0,1)(2,1,2) was selected by comparing AICc values to forecast the data. This forecasting algorithm uses the past values of the series in predicting the future trend. The R programming language has been used for the entire study for precise statistical analysis. Thus, an accurate forecast of the rainfall pattern for the future 5 years can be extremely beneficial for the people of the region in planning their resources, crop patterns and managing disasters.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115606388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An End to End Hybrid Learning Model for Covid-19 Detection from Chest X-ray Images 基于胸部x线图像的新型冠状病毒检测端到端混合学习模型

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169832

Kanishkha Jaisankar, P. Pawar, Diana Joseph

引用次数: 0

Digital Twin of a Musculoskeletal System 肌肉骨骼系统的数字双胞胎

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169727

Abraham George, C.R Bharat, Trisha Singh, Chandra Shekhar Sahil

引用次数: 0