{"title":"Explicating ResNet for Facial Expression Recognition","authors":"Pratyush Shukla, Mahesh Kumar","doi":"10.57061/ijcict.v11i3.3","DOIUrl":"https://doi.org/10.57061/ijcict.v11i3.3","url":null,"abstract":"Convolution Neural Network is one of the phenomenal formulations in the field of pattern recognition research, computer vision and image processing. It helped to facilitate many theories into real working models. One of them being Facial expression recognition (FER) which has been benefited with the development of CNN architectures, especially the ResNet architecture which has emerged as the winner of ImageNet 2015 competition. Residual Neural Network (ResNet) inculcates the idea of skip connections and became the most cited neural network. In this paper we have analyzed an extensive view of addressing facial expression and emotion recognition with the assistance of ResNet. We have\u0000particularly emphasized upon Resnet-18, Resnet-50, SobelResNet, ResNet with Attention mechanism and deformable convolution, Emotion recognition using heart rate variability\u0000analysis and ResNet, 3D inception ResNet layers.","PeriodicalId":329291,"journal":{"name":"International Journal of Computing, Intelligent and Communication Technology","volume":"11 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127459867","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}
{"title":"Guesstimation of Seismic Fragility in Structural Systems","authors":"Are Vinod Kumar, S. Krishna, Sandip Swarnakar","doi":"10.57061/ijcict.v11i3.4","DOIUrl":"https://doi.org/10.57061/ijcict.v11i3.4","url":null,"abstract":"Dynamic analysis is used to estimate fragility functions, and is an essential part of a number of seismic measurement procedures. This paper investigates the applicability of statistical inference methods for the prediction of fragility functions, outlines useful methods for use in various structural analysis techniques, and investigates how fragility\u0000functions can be updated to minimize the number of structural analyses needed. Multiple stripe method is more effective fragility projections for a provided variety of structural analysis than IDA, meaning that some understanding of the building's capacity is needed prior to analysis such that sufficient portions of the fragility curve can be loosely described This discovery has alternative blessings, because the approach to multiple stripe analysis permits numerous ground movements to be used for studies at totally different intensity ranges to replicate the various options of low intensity and\u0000trembling of high intensity. The proposed assessment framework also provides a basis for evaluating the possible testing methods that could exist in the future","PeriodicalId":329291,"journal":{"name":"International Journal of Computing, Intelligent and Communication Technology","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133583228","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}
Shaik Neeha, Ipshitha Charles, S. Krishna, Sandip Swarnakar
{"title":"Performance Analysis of LEACH, LEACH-C, TS-LEACH, MOD-LEACH in WSN","authors":"Shaik Neeha, Ipshitha Charles, S. Krishna, Sandip Swarnakar","doi":"10.57061/ijcict.v11i3.2","DOIUrl":"https://doi.org/10.57061/ijcict.v11i3.2","url":null,"abstract":"Energy efficiency has been a major research topic in Wireless Sensor Networks (WSN). Because the sensor networks are powered by batteries, they will die after a given\u0000amount of time. As a result, extending the life of sensor equipment by optimizing data dissipation in a cost-effective manner remains a difficulty. Generally, Flat, Hierarchical and\u0000location-based routing are the three types of routing Protocol. Awareness of the network structure and Routing Protocol is essential, and it must be suitable for the user need. The survey presents Comparison of various LEACH Protocols in WSN","PeriodicalId":329291,"journal":{"name":"International Journal of Computing, Intelligent and Communication Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129974082","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}
B. D. D. Nayomi, Ipshitha Charles, S. Krishna, Sandip Swarnakar
{"title":"IDENTIFYING THE ATTACKS ON GROWING PLANTS BASED ON IMAGE PROCESSING","authors":"B. D. D. Nayomi, Ipshitha Charles, S. Krishna, Sandip Swarnakar","doi":"10.57061/ijcict.v11i3.1","DOIUrl":"https://doi.org/10.57061/ijcict.v11i3.1","url":null,"abstract":"Image processing is a diverging area where researches and advancements are taking a geometrical progress in the agricultural field. Various researches are going on vigorously in plant disease detection. Identification of plant diseases can not only maximize the yield production but also can be supportive for varied types of agricultural practices. Disease classification on plant is very critical for supportable agriculture. It is very difficult to monitor or treat the plant diseases manually. It requires huge amount of work, and also\u0000need the excessive processing time, therefore image processing is used for the detection of plant diseases. Plant disease classification involves the steps like Load image, preprocessing, segmentation, feature extraction, svmClassifer. Detecting disease may be a key to stop agricultural losses. The aim of this project is to develop a software system answer that mechanically find and classify disease.","PeriodicalId":329291,"journal":{"name":"International Journal of Computing, Intelligent and Communication Technology","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133080777","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}