2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)最新文献_第9页

A Hybrid-Layered Framework for Detection and Diagnosis of Alzheimer’s Disease (AD) from Fundus Images 基于眼底图像的阿尔茨海默病(AD)检测与诊断的混合分层框架

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073930

V. Srilakshmi, Anupama Anumolu, M. Safali, Vallabhaneni Siva Parvathi

{"title":"A Hybrid-Layered Framework for Detection and Diagnosis of Alzheimer’s Disease (AD) from Fundus Images","authors":"V. Srilakshmi, Anupama Anumolu, M. Safali, Vallabhaneni Siva Parvathi","doi":"10.1109/ICAIS56108.2023.10073930","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073930","url":null,"abstract":"Alzheimer’s disease (AD) is the most common disease that can cause a brain disorder in a human aged above 65. Detecting and diagnosing AD becomes a more complicated and complex task by using various manual processes. DL and ML algorithms are most widely used to analyze the complex features from the medical data used to detect AD from various samples. Several types of sample formats are used to detect AD. This paper mainly focused on detecting the AD from the retinal fundus images. Analyzing the early symptoms of AD can prevent the patient’s life from permanent eye loss. ML algorithms are having various drawbacks that use complex computations and more computation time for the processing of data. The AD prediction is done by using the fundus color images collected from the Kaggle dataset. ML follows various steps to complete the task such as training, pre-processing and algorithm implementation. In the existing approaches, a limited number of parameters are used. Another disadvantage of the traditional algorithms shows the low accuracy and unmatched results. This paper introduced the hybrid-layered framework is developed to detect the AD from the fundus images dataset. Several performance metrics such as precision, recall, F1-score, and accuracy are used to show the results.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121303484","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

Design of Power and Delay Efficient Fault Tolerant Adder 功率和延迟高效容错加法器的设计

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073682

K. C, Vivek Karthick Perumal, M. Vivek Kumar, J. Muralidharan

引用次数: 0

A Low-Energy System for IoT-based Wireless Sensor Networks 基于物联网的无线传感器网络低能耗系统

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073908

A. S, Sheshathri V M, Shaik Muhammad Aasif, Srikanta Yeswanth Adithya

{"title":"A Low-Energy System for IoT-based Wireless Sensor Networks","authors":"A. S, Sheshathri V M, Shaik Muhammad Aasif, Srikanta Yeswanth Adithya","doi":"10.1109/ICAIS56108.2023.10073908","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073908","url":null,"abstract":"The Internet of Things (IoT) will enable intelligent objects to interact and exchange data, facilitating the integration of the real world with computerized structures for greater comfort and control. These organizations are more than ordinary organizations and have a great deal of influence in the field of IoT, regardless of their dominant characteristics, they face some key challenges such as versatility, safety and limited power supply on board. The rise of Wireless Sensor Networks (WSNs) is one of the major advances that will bring other types of disruption, necessities, and better exhibitions in the coming years. However, the processing, energy, transmitting, and memory capabilities of sensors are constrained, which might have a negative effect on agricultural production. In addition to effectiveness, these IoT-based agricultural sensors need to be protected from hostile opponents. This article has presented an application to smart agriculture by using an IoT-based WSN framework with several design levels. First, agricultural sensors gather pertinent data and use a multi-criteria decision function to select a set of cluster heads. To ensure reliable and effective data transmissions, the Signal to Noise Ratio (SNR) is also used to monitor the signal strength on the transmission connections. Simulation results prove that the proposed framework significantly improves communication performance.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127447806","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

Detection and Security in Falls with IoT Server 物联网服务器在秋季的检测和安全

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073845

C. Kavitha, N. Sridevi, D. Dhivagar

{"title":"Detection and Security in Falls with IoT Server","authors":"C. Kavitha, N. Sridevi, D. Dhivagar","doi":"10.1109/ICAIS56108.2023.10073845","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073845","url":null,"abstract":"Heart rate (HR) and Heart rate variability (HRV) have received a great deal of attention that promises to change the dimension of awareness of health and fitness while swimming. HRV is very useful to understand physiological and psychological status of an individual. The variation in HR, provides a reliable information about the role of Autonomic Nervous System (ANS). HRV is very convenient to understand the overall physiological status of an individual. Due to individuality of the HRV, regular monitoring HRV is useful to understand training adaptation, load, recovery, overtraining. The study provides a brief concept on HR and HRV in swimming individual. Although RR intervals are highly individual centric but due to same practice pattern or same type of physical activity, the swimmer group has very small quartile range. A significance difference in RR intervals between control group and swimmer group may come from two different effects of the nervous system. Either it indicates a significant increase in parasympathetic tone due to normal training adaptation or a sign of overtraining that has caused increase in parasympathetic tone. High HRV denotes good indication of positive adaptation, good cardiovascular efficiency. Low HRV score indicates deterioration in VO2max.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117231723","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

Integrated IoT System for Automatic Dust Cleaning of Solar Panels 太阳能电池板自动除尘集成物联网系统

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073675

R. Balamurugan, A. A. Kumar, A. Kalaimaran, V. Sathish

引用次数: 0

A Brief Survey on Feature Extraction Models for Brain Tumor Detection 脑肿瘤检测特征提取模型综述

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073722

Malathi Janapati, Dr. Shaheda Akhtar

{"title":"A Brief Survey on Feature Extraction Models for Brain Tumor Detection","authors":"Malathi Janapati, Dr. Shaheda Akhtar","doi":"10.1109/ICAIS56108.2023.10073722","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073722","url":null,"abstract":"Today, tumours are the second leading cause of cancer deaths. Cancer poses a significant threat to a large population of patients. The medical community needs a quick, automated, efficient, and trustworthy method for detecting tumours like brain tumours. Detection is crucial to effective treatment. If doctors are able to catch a tumour in its earliest stages, they have a better chance of preserving the patient's health. To do this, several distinct image processing methods are used. Through this method, doctors have been able to effectively treat tumours and save the lives of many patients. Tumors are simply abnormal growths of cells that cannot be stopped. As brain tumour cells multiply, they eventually deplete the brain's supply of nutrients. Clinicians currently use MR images (MRI) of the patient's brain to manually pinpoint the location and extent of a brain tumour. Brain tumours can develop at any age in both children and adults. However, this is not the case if detection is timely and accurate. This investigation focuses on three subtypes of brain cancer: gliomas, meningiomas, and pituitary tumours. While there have been numerous publications on the topic of brain tumour classification and prediction, very few have focused on the importance of feature extraction. Manual diagnosis and conventional feature extraction methods have their limitations, and new approaches are needed to overcome them. An automated diagnostic system is necessary for extracting features and making an accurate diagnosis of brain cancer. Although advancements are being made, automatic brain tumour diagnosis continues to struggle with issues like low accuracy and a high proportion of false-positive findings. In this research work, a brief survey is provided on feature extraction for brain tumor detection using machine learning and deep learning techniques.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128080077","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

Footsteps Based Sustainable Energy Generation and Consumption System 基于脚步的可持续能源生产与消费系统

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073702

Ramanamma P, M. Jayanthi, Anuj M A, A. Dharmik Sai Reddy, Devu Maheswar Reddy, G. Pavan Kalyan Reddy

{"title":"Footsteps Based Sustainable Energy Generation and Consumption System","authors":"Ramanamma P, M. Jayanthi, Anuj M A, A. Dharmik Sai Reddy, Devu Maheswar Reddy, G. Pavan Kalyan Reddy","doi":"10.1109/ICAIS56108.2023.10073702","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073702","url":null,"abstract":"The interest for reasonable Energy age and utilization is expanding step by step as the human populace is relying more upon electronic gadgets for their everyday life. Hence, the need of a full-evidence and monetarily practical power age and circulation framework requests a specific attention. This task proposes usage of human loco motion energy, which albeit extractible goes principally to squander. This demo offers a model that utilizes human strolling, hopping and running as a wellspring of energy and stores it for fundamental use. Such a model is able in a demography that of a nation like India which has such a colossal walker populace. This framework represents a technique for collecting this human headway energy with the utilization of piezoelectric sensor and exhibits a request with the put away energy i.e., to charge a cell phone safely utilizing RFID. The ground response force (GRF) applied from the foot, when switched over completely to voltage by piezoelectric sensors is sufficiently able to control up a gadget. Advanced effort prompts aperiodic voltage develop which with legitimate hardware can be utilized to charge a capacity battery. The power delivered by this method can likewise be used in fundamental application, for example, road lighting, notice sheets, rec centres and different areas of public space. It likewise advances efficient power energy and climate cordial methodology towards energy age. In this undertaking we will give the essential idea and configuration restraints of this model and a fundamental execution of the equal.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128470456","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

Internet of Smart Things for Smart Healthcare and Safety Management 智能医疗和安全管理的智能物联网

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073692

K. Ganesh, K. Parimala, P. Raveesha, A. Samal, M. Ln, Ashish Verma

{"title":"Internet of Smart Things for Smart Healthcare and Safety Management","authors":"K. Ganesh, K. Parimala, P. Raveesha, A. Samal, M. Ln, Ashish Verma","doi":"10.1109/ICAIS56108.2023.10073692","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073692","url":null,"abstract":"A lot has happened in the healthcare industry in recent years thanks to the Internet of Things (IoT). The smart gadgets attached to the body make it easy to measure medical parameters, resulting in a huge amount of individualized medical data for each patient. A wide range of security concerns can arise from this data. Things-as-internet is a new technology that has exploded in popularity in the last few of years. Revolutionary technologies like smart homes, grids, and cities are transforming our daily lives thanks to the Internet of Things (IoT). Internet of Things (IoT) principles are being employed to connect medical resources and provide patients with intelligent, dependable, and effective healthcare. The Internet of Things (IoT) can be used to improve the patient's lifestyle by monitoring their health in the context of active and supported living. For the purpose of introducing smart healthcare, this study first lists the major technologies that support it and introduce its current status in numerous vital fields. One of the most important contributions of this study is the discussion of security measures that can be used for both current and future IoT healthcare systems. Current IoT implementations have been thoroughly analysed and investigated in order to provide clear, exact solutions to the problems now faced by IoT implementations.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133418241","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

Control of Software-Defined Networks of Unmanned Aerial Vehicles using Distributed Deep Learning 基于分布式深度学习的无人机软件定义网络控制

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073872

Syed Hauider Abbas, M. Guru Vimal Kumar, Lekha D, Geethamahalakshmi G, S. S, A. Deepak

{"title":"Control of Software-Defined Networks of Unmanned Aerial Vehicles using Distributed Deep Learning","authors":"Syed Hauider Abbas, M. Guru Vimal Kumar, Lekha D, Geethamahalakshmi G, S. S, A. Deepak","doi":"10.1109/ICAIS56108.2023.10073872","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073872","url":null,"abstract":"There are a variety of civilian, public, and military applications that might be developed for drones. Because they come equipped with their own communications infrastructure, they may be remotely controlled from a distance. Unmanned Aerial Vehicles (UAVs) are gaining popularity for its utilization in a range of activities due to their low cost, versatility, ease of deployment, and the ability to replace manually-operated aircraft in many situations. These vehicles are capable of performing a wide range of activities, such as monitoring, managing crowds, providing wireless coverage, and surveillance. Unmanned Aerial Vehicles (UAVs), often known as drones have the ability to offer solutions that are not only trustworthy but also economical for addressing a wide range of real-time challenges. With the inherent characteristics such as mobility, flexibility, and compatibility in terms of communications, UAVs are able to provide a wide range of services. The ability to monitor a particular area and the flexibility to react to changing demands for services proves the effectiveness of deploying Unmanned Aerial Vehicles (UAVs). As a result, deep learning, also known as DL, is utilized in an increasingly broad manner to overcome the challenges that UAVs face in terms of connectivity and resource utilization.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121244430","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

Air Pollution Prediction using Supervised Machine Learning Technique 基于监督机器学习技术的空气污染预测

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073821

Pandithurai O, B. N, Pradeepa K, Meenakshi D, Kathiravan M, Vinoth Kumar M

引用次数: 1