2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)最新文献_第6页

Implementation of Different U-Net Architectures for Segmentation of Lung Cancer CT Images 不同U-Net结构在肺癌CT图像分割中的实现

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169245

P. Cindy, A. Bhattacharjee, R. Murugan, R. Karsh, Tripti Goel

引用次数: 0

Design and Analysis of Low Power MAC for DSP Processor DSP处理器低功耗MAC的设计与分析

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169461

R. Mishra, Puran Gour, Sandeep Dhariwal, Manish Kumar, Anubhav Anand

引用次数: 0

Text Analysis Tool 文本分析工具

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169652

Perpetua F. Noronha, Madhu Bhan, M. Niranjanamurthy, D. Chandana

{"title":"Text Analysis Tool","authors":"Perpetua F. Noronha, Madhu Bhan, M. Niranjanamurthy, D. Chandana","doi":"10.1109/ICAIA57370.2023.10169652","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169652","url":null,"abstract":"The automated analysis of electronic text is referred to as “text processing”. The amount of online textual data is increasing, and automatic text processing techniques have the potential to be tremendously beneficial because they can gather more meaningful information faster. Features like text summarization, language translation, emotion classifier and headline generation of news articles are some of the popular ways of text processing. The fundamental goal of text summarization is to extract the most important information from a text and deliver it in a concise and legible form. The practice of transforming written text from one language into another such that it may be easily understood is known as language translation. Emotion classifier analyses the emotions and categorizes the text into various emotions. Headline generation is the process of obtaining the headlines from various news articles. This paper is about developing a text processing tool based on the concepts of Machine Learning and Natural Language Processing. Implementation of this tool allows for the automation of text processing. This tool aims to improve productivity and efficiency of processed data by faster generation of precise and meaningful data to all the providers across all platforms.","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":"128819664","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

Self-Organizing Clustering by Growing-SOM for EEG-based Biometrics 基于生长som的脑电图生物识别自组织聚类

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169253

Zurisaddai Sandoval-Lara, P. Gómez-Gil, J. Moreno-Rodríguez, M. Ramirez-Cortes

{"title":"Self-Organizing Clustering by Growing-SOM for EEG-based Biometrics","authors":"Zurisaddai Sandoval-Lara, P. Gómez-Gil, J. Moreno-Rodríguez, M. Ramirez-Cortes","doi":"10.1109/ICAIA57370.2023.10169253","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169253","url":null,"abstract":"The use of electroencephalography (EEG) for bio-metric recognition, in particular for verification systems, has increased in the last years, due to some advantages that EEG signals present when used as signatures, as compared to other identifiers. In this paper we explore the use of unsupervised adaptive learning as a tool for enhancing the features representing each possible subject in a biometric system, in order to improve its performance. To do so, we designed three different frameworks based on Self Organizing Maps (SOM) neural networks, and compared their performance with a base model using no enhancement. Our experiments, using different input tasks and two combinations in the number of channels, with data obtained from two public EEG databases, showed that a SOM with Dynamic Structure (GSOM) obtained the best Equal Error Rate (EER). Such EER was 0.08 ± 0.04 when using as input the counting task of a public database provided by the University of Colorado, and an EER of 0.11 ± 0.04 was obtained for the rotation task in the same database. We also assessed our frameworks using the public database BIOMEXDB, provided by INAOE, where we also found that GSOM outperformed other state-of-the-art works.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"51 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":"127519726","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

KGR-Rainfall: Temperature-Based Rainfall Prediction in Bangladesh with Novel KGR Stacking Ensemble KGR-Rainfall:基于温度的孟加拉国降雨预报与新型KGR叠加集合

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169403

Abu Kowshir Bitto, Maksuda Akter Rubi, Md. Hasan Imam Bijoy, Subrata Das Shuvo, Aka Das, Amit Chowdhury

{"title":"KGR-Rainfall: Temperature-Based Rainfall Prediction in Bangladesh with Novel KGR Stacking Ensemble","authors":"Abu Kowshir Bitto, Maksuda Akter Rubi, Md. Hasan Imam Bijoy, Subrata Das Shuvo, Aka Das, Amit Chowdhury","doi":"10.1109/ICAIA57370.2023.10169403","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169403","url":null,"abstract":"Climate change factors such as wet or dry, cold or warm seasons have a significant impact on both the economy and culture. Extreme rainfall events have historically posed a major threat to many parts of the world. In Bangladesh, during monsoon seasons, wet southern airflows from the Bay of Bengal collide with dry mainland air, causing heavy rainfall that negatively affects various socio-economic sectors. These include agriculture, food production, urban planning, energy, water resource management, fisheries, forest management, healthcare, disaster management, transportation, tourism, sports, and leisure. To address this issue, the paper proposes a machine-learning approach to forecast rainfall in Bangladesh using multiple regression models and a novel Stacked Ensemble Model (KGR Stacking). The study also investigates the relationship between rainfall and temperature. The KGR Stacking model outperforms the other 12 regression models, achieving an accuracy of 86.43% and lower error.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"22 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":"116906112","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

Investigating the Fractality and Stationarity Behavior of Global Temperature Anomaly Time Series 全球温度异常时间序列的分形与平稳性研究

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169189

Bikash Sadhukhan, S. Mukherjee, R. Samanta

{"title":"Investigating the Fractality and Stationarity Behavior of Global Temperature Anomaly Time Series","authors":"Bikash Sadhukhan, S. Mukherjee, R. Samanta","doi":"10.1109/ICAIA57370.2023.10169189","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169189","url":null,"abstract":"The global climate has been changing rapidly in recent decades, with significant consequences for the environment and human societies. Understanding the long-term behavior and properties of climate data is crucial for predicting future changes and developing effective mitigation strategies. This study investigates the fractal and stationary properties of global temperature anomaly time series data from 1880 to 2022 using statistical techniques such as the Hurst exponent, rescaled range analysis, detrended fluctuation analysis, augmented Dicky Fuller test, and Kwiatkowski-Phillips-Schmidt-Shin test. The results of the analysis reveal that the global temperature anomaly time series exhibits fractal behavior with a Hurst exponent value of 0.6 during the last 42 years, indicating persistent long-term memory. Additionally, the data show nonstationarity with a significant increasing trend over the entire period of analysis. The authors found evidence of changes in the fractal properties of the data since 1980, possibly due to human-induced climate change. This study provides vital insights into the complexity of global temperature anomaly time series data and highlights the need for continuous tracking and evaluation of climate data to better understand and manage the issues of climate change. The findings have important implications for climate modeling and policy development, highlighting the need for continued efforts to mitigate climate change and its impacts.","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":"130878392","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 Sustainable social media Smart Model for the Deployment of Learning Skills in Universities 一个可持续的社会媒体智能模式在大学学习技能的部署

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169247

Sahil Raj, P. Paul, C. Hegde

{"title":"A Sustainable social media Smart Model for the Deployment of Learning Skills in Universities","authors":"Sahil Raj, P. Paul, C. Hegde","doi":"10.1109/ICAIA57370.2023.10169247","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169247","url":null,"abstract":"Social media is a term used to describe the sustainable medium to interact with associates with smart models which were used by people to have conversations or to share ideas, produce and exchange data, and also to develop relationships by interacting with their audience. It is a sort of smart model communication platform to share information within universities by accessing web documents and also produce to share content. Conversations foster open dialogue throughout the small group within universities as societies and empower participants to ask questions. This paper discusses a small community interaction as Coterie, an efficient social media smart digital communication platform where we can connect with smaller community groups. By organizing clubs and allow to join or inviting members to join, individuals can communicate knowledge and chat logs on profile pages, home sites, and club activities. Here, Python Flask-based package is utilized to establish a message collection and sharing system for our Media based sub community interactions","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"44 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":"127879525","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

Study of 2x2 MIMO Circular patch Antenna for WiFi-6 or WiFi-6e in IEEE 802.11ax Applications IEEE 802.11ax应用中用于WiFi-6或WiFi-6e的2x2 MIMO圆形贴片天线研究

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169640

Ayush Kumar Sharma, Harsh Jaiswal, Ayush Vats, Paramanand Sharma

{"title":"Study of 2x2 MIMO Circular patch Antenna for WiFi-6 or WiFi-6e in IEEE 802.11ax Applications","authors":"Ayush Kumar Sharma, Harsh Jaiswal, Ayush Vats, Paramanand Sharma","doi":"10.1109/ICAIA57370.2023.10169640","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169640","url":null,"abstract":"WLAN communication evolution can be analyzed from a variety of perspectives, but MIMO is crucial to that analysis because of its performance and assets. In multi-input, multi-output technology, higher data rates may be achieved depending on how transmitters and receivers interact, and precise results may be achieved. Using antenna arrays, we describe a firm 2×2 MIMO antenna structure where the S parameter is increased while the inter-element separation is 0.5 $lambda$ mm. The design of the antenna is done in such a way that it serves IEEE 801.11ax applications and that compromises of standards, which are Wi-Fi6 or Wi-Fi6e, whereas Wi-Fi6 operates at two different frequencies, i.e., 2.4 GHz and 5 GHz, and now if we look into the modified standard version, which is Wi-Fi6e, it provides a third extended frequency band of 6 GHz, so it operates at the above frequencies. The proposed structure has a circular-shaped patch that utilizes a substrate of material called FR4, which has a permittivity of 4.4, and the substrate is placed at a height of 1.6 mm from the ground. The analysis and design of the proposed antenna are done using ANYSIS HFSS software.","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":"128876530","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 Brief Review of Machine Learning Methods used in Mental Health Research 机器学习方法在心理健康研究中的应用综述

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169520

Veerpal Kaur, K. Gupta

{"title":"A Brief Review of Machine Learning Methods used in Mental Health Research","authors":"Veerpal Kaur, K. Gupta","doi":"10.1109/ICAIA57370.2023.10169520","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169520","url":null,"abstract":"Machine Learning (ML) is a sub-domain of Artificial Intelligence, and it focuses on the statistical methods to analyse data. Analysis of data can help in understanding the hidden patterns. As the internet is growing, one can expect a plethora of data getting generated. Almost every field, be it medicine, education, businesses across the world, stock exchange, agriculture etc., all are contributing to this data generation. Research is going on unprecedentedly on data collected for useful insights. Mental Health is one of the fields where ML is being used for understanding the patients’ behavior, symptoms, effectiveness of the treatments used and helps the medical practitioners in decision making. The presented study aims to showcase the overview of the machine learning technologies used in health care majorly concerned to mental health and depression along with their pitfalls and future directions. The presented analysis laid a foundation for future work in the domain of mental health and depression analysis using machine learning techniques. The study focuses mainly on analyzing how innovation and health could be inter-related. The challenge is to find such techniques that minimize the incorrect outcomes by the machine learning models and help the medical practitioners to take timely decisions.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"51 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":"131518642","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 Comparison between the FOTID and FOPID Controller for the Close-Loop Speed Control of a DC Motor System 直流电机闭环速度控制中FOTID与FOPID控制器的比较

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169248

Satyaprakash Mohapatra, Diptesh Choudhury, Kapileswar Bishi, Sanjay Keshari, B. K. Dakua, Chandrasekhar Kaunda, Animesh Panda

引用次数: 0