SSRG international journal of computer science and engineering最新文献

Object Detection using Infrared Systems During Fog and Rain 在雾和雨中使用红外系统进行目标检测

SSRG international journal of computer science and engineering Pub Date : 2023-08-30 DOI: 10.14445/23488387/ijcse-v10i8p101

Ujjwal Rastogi

{"title":"Object Detection using Infrared Systems During Fog and Rain","authors":"Ujjwal Rastogi","doi":"10.14445/23488387/ijcse-v10i8p101","DOIUrl":"https://doi.org/10.14445/23488387/ijcse-v10i8p101","url":null,"abstract":"This research study focuses on the utilization of infrared systems for object detection during fog and rain, aiming to improve detection accuracy in adverse weather conditions. Road accidents caused by foggy and misty weather conditions claimed 13,372 lives in 2021 in India, and another 25,360 were left injured — more than half were grievously injured. The current research has highlighted the challenges posed by fog and rain on traditional sensors and the potential of infrared technology to overcome these limitations. The rationale for this new research lies in the need for robust and reliable object detection in adverse weather scenarios, particularly for autonomous driving systems. The research methods involve designing and implementing an infrared-based object detection system, incorporating preprocessing techniques, and employing object detection algorithms and frameworks. The study's major findings demonstrate the potential of infrared systems in enhancing object detection reliability in foggy and rainy conditions, as evaluated using real-world datasets. The significance of this study lies in its contribution to improving road safety by providing valuable insights into the utilization of infrared technology for object detection in adverse weather scenarios.","PeriodicalId":485522,"journal":{"name":"SSRG international journal of computer science and engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136240687","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

Unique Methods for Highly Populous Countries to Leverage Post-Pandemic Economy to Ramp Up Digital Payments 人口稠密国家利用大流行后经济增加数字支付的独特方法

SSRG international journal of computer science and engineering Pub Date : 2023-07-30 DOI: 10.14445/23488387/ijcse-v10i7p103

Rajath Karangara

引用次数: 0

Smart Recommendation for Unanimous People 明智的建议，一致的人

SSRG international journal of computer science and engineering Pub Date : 2023-07-30 DOI: 10.14445/23488387/ijcse-v10i7p101

Abhilash G, Karthik M, Preetha S

{"title":"Smart Recommendation for Unanimous People","authors":"Abhilash G, Karthik M, Preetha S","doi":"10.14445/23488387/ijcse-v10i7p101","DOIUrl":"https://doi.org/10.14445/23488387/ijcse-v10i7p101","url":null,"abstract":"Creativity has become one of the optimal technologies to solve human life problems, and technology isused for facilitating human needs. People always seek and be more comfortable based on a similar mindset. Which in return helps them to build new ideas and thoughts. With the popularity of social networks and social media, many users like to share their reviews, ratings, experiences, and images. The factors that are most considered by social media platforms, like influence, search content and interest based on friends, bring connectivity for smart recommendation systems to establish the relation between the users with the help of the data collected from the users. Social factors like interpersonal interest similarity, interpersonal influence, and personal interest these factors are taken into consideration before recommending friends to users. This smart recommendation model, which we have used, is based on Latent Dirichlet Allocation (LDA) algorithm. The category of personal interest will help the users to club together and can recommend people to the user based on individualities. The interpersonal influence helps users to connect based on theirinterest towards learning and innovation; they can connect and discuss regarding their common interests.","PeriodicalId":485522,"journal":{"name":"SSRG international journal of computer science and engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135398952","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

Artificial Intelligence and Machine Learning in Forensic Accounting 法务会计中的人工智能和机器学习

SSRG international journal of computer science and engineering Pub Date : 2023-07-30 DOI: 10.14445/23488387/ijcse-v10i7p102

Avinash Malladhi

引用次数: 0