2023 6th International Conference on Information Systems and Computer Networks (ISCON)最新文献_第7页

Post-Processing Deblocking Technique for Reduction of Blocking Artifacts 减少块伪影的后处理去块技术

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112084

A. Sandhu

引用次数: 0

Optimal FIR Filter Design using Honey Badger Optimization Algorithm 蜜獾优化算法优化FIR滤波器设计

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112079

Rashmi Sharma, Shubham Yadav, S. Saha

引用次数: 0

Enhanced Smart Home Architecture using Deep Reinforcement Learning and Blockchain 使用深度强化学习和区块链的增强智能家居架构

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112192

Subhita, Divya, Kavita

{"title":"Enhanced Smart Home Architecture using Deep Reinforcement Learning and Blockchain","authors":"Subhita, Divya, Kavita","doi":"10.1109/ISCON57294.2023.10112192","DOIUrl":"https://doi.org/10.1109/ISCON57294.2023.10112192","url":null,"abstract":"The Advent of the technology has raised the living standard of the society and we have incorporated smart home appliances in to our lives. These smart devices communicate with each other to help us ease the household demands of the residents. These appliances can be in public, or a private network and they share crucial data and information which further helps the residents of a Smart Home. This data management among devices becomes challenging because they are all implemented on a centralized mechanism which is more prone to attack and single point of breakdown. So, with such centralized architectures, service availability can never be assured. Technologies such as combination of Machine learning, Deep Reinforcement learning and Blockchain can help reduce this risk and further helps managing these appliances. This paper will explore the scope of Deep Reinforcement and Blockchain technique in smart home application. We have designed, implemented, and assess the Deep Reinforcement learning technique and Blockchain for managing appliances of smart homes. Furthermore, we evaluate the effectiveness of our approach with that of the conventional system of smart home applications.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"677 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121996764","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

Sentiment Analysis of Audio Files Using Machine Learning and Textual Classification of Audio Data 使用机器学习和音频数据文本分类的音频文件情感分析

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112195

Shipra Saraswat, S. Bhardwaj, Saksham Vashistha, Rishabh Kumar

引用次数: 0

COVID-19 Detection by Using Handcrafted Features Extracted From Chest CT-Scan Images 利用胸部ct扫描图像提取的手工特征检测COVID-19

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112122

Aditya Shinde, S. Shinde

{"title":"COVID-19 Detection by Using Handcrafted Features Extracted From Chest CT-Scan Images","authors":"Aditya Shinde, S. Shinde","doi":"10.1109/ISCON57294.2023.10112122","DOIUrl":"https://doi.org/10.1109/ISCON57294.2023.10112122","url":null,"abstract":"Coronavirus illness, which was initially diagnosed in 2019 but has propagated rapidly across the globe, has led to increased fatalities. According to professional physicians who examined chest CT scans, COVID-19 behaves differently than various viral cases of pneumonia. Even though the illness only recently emerged, a number of research investigations have been performed wherein the progression of the disease impacts mostly on the lungs are identified using thoracic CT scans. In this work, automated identification of COVID-19 is used by using machine learning classifier trained on more than 1000+ lung CT Scan images. As a result, immediate diagnosis of COVID-19, which is very much necessary in the opinion of healthcare specialists, is feasible. To improve detection accuracy, the feature extraction method are applied on regions of interests. Feature extraction approaches, including Discrete Wavelet Transform (DWT), Grey Level Cooccurrence Matrix (GLCM), Grey Level Run Length Matrix (GLRLM), and Grey-Level Size Zone Matrix (GLSZM) algorithms are used. Then the classification by using Support Vector Machines (SVM) is used. The classification accuracy is assessed by using precision, specificity, accuracy, sensitivity and F-score measures. Among all feature extraction methods, the GLCM approach has given the optimum classification accuracy of 95.6%.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121120651","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

Optimized Full Adder-Subtractor in QCA for nano-computing applications 面向纳米计算应用的QCA优化全加减法器

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112074

Vaibhav Jain, D. Sharma, H. M. Gaur

引用次数: 0

Identifying Anti-Social Activities in Surveillance Monitoring Applications using Deep-CNN based Algorithms 使用基于深度cnn的算法识别监控应用中的反社会活动

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112113

Apar Jaggi, Akshat Aggarwal, Ankush Gupta

引用次数: 0

Mucormycosis Metabolic Network Modeling: A Constraint-Based Approach 毛霉病代谢网络建模:一种基于约束的方法

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10111947

Tushar Gupta, Shubham Vashistha, Sudeepti Kulshrestha, P. Narad, A. Sengupta

{"title":"Mucormycosis Metabolic Network Modeling: A Constraint-Based Approach","authors":"Tushar Gupta, Shubham Vashistha, Sudeepti Kulshrestha, P. Narad, A. Sengupta","doi":"10.1109/ISCON57294.2023.10111947","DOIUrl":"https://doi.org/10.1109/ISCON57294.2023.10111947","url":null,"abstract":"Mucormycosis is an uncommon illness caused by the fungus Mucorales. India was concerned about mucormycosis and COVID-19 in 2020. To minimize morbidity and occurrence, prevent, and treat mucormycosis, analysis is required. Combining systems biology and bioinformatics-based mucormycosis research, this study simulates the Genome-scale metabolic model (GSSM) of a Rhizopus oryzae strain for the comprehension of the organism’s metabolic mechanism. Several key metabolic pathways for a mucormycosis-causing fungus strain were identified in research publications and targeted for inclusion in a model of a metabolic network. Based on the Flux Balance Analysis (FBA) approach, an integrated model of these pathways at the scale of the genome’s metabolism was developed and appropriate constraints were applied to the numerous reactions involved in Rhizopus oryzae’s metabolism using the COBRA package in MATLAB. Hence, unique evidence of pharmacological targets and biomarkers that may function as diagnostic, early analytic, and therapeutic agents in mucormycosis was discovered. Our study investigates the role of key metabolites in the model by applying constraints and altering fluxes, which provides valuable candidates for drug development.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127517000","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

Recent CNN Advancements For Stratification of Hyperspectral Images 高光谱图像分层的CNN最新进展

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112174

Pallavi Ranjan, Raj Kumar, Ashish Girdhar

{"title":"Recent CNN Advancements For Stratification of Hyperspectral Images","authors":"Pallavi Ranjan, Raj Kumar, Ashish Girdhar","doi":"10.1109/ISCON57294.2023.10112174","DOIUrl":"https://doi.org/10.1109/ISCON57294.2023.10112174","url":null,"abstract":"Stratification of hyperspectral images has become an essential in the area of remote sensing having the capability to analyze and categorize diversified land cover. Several classification models for hyperspectral images have been proposed. On one hand, conventional machine learning techniques struggled to retrieve discriminative features from HSI because of strongly correlated bands and scarcity of limited data. However recently introduced deep learning methods have recently been acknowledged as effective extraction of features techniques, having the capability to show great classification performance even with limited training data. Convolutional neural networks (CNNs) in specific are extremely efficient and have the potential to produce high performance in HSI classification. Inspired by the overall success of CNNs, this paper thoroughly examines state-of-the-art CNN architectures involved in classifying hyperspectral images. We focus on current convolutional networks that can retrieve spectral or spatial or spectral-spatial features in a joint manner. This study presents a performance comparison of recently proposed CNN models, namely 1D CNN, 2D CNN, 3D CNN, and recently introduced fusion based CNNs has been presented. Three HSI benchmark datasets including were used to assess the classification performance.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127308943","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 Effective Deep Learning Model for Content-Based Gastric Image Retrieval 基于内容的胃图像检索的有效深度学习模型

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112189

Mona Singh, M. K. Singh

引用次数: 0