Titlebook: Computational Intelligence in Pattern Recognition; Proceedings of CIPR Asit Kumar Das,Janmenjoy Nayak,Danilo Pelusi Conference proceedings

guardianship

concise

Handling Class Imbalance Problem Using Support Vector Machine,lower number of objects of a minority class. When we need real-time or critical prediction, this problem can be precarious. So the model, when needed for real-time or critical prediction, the class imbalance problem may play a significant role in the hazard regarding the training and subsequent func

渗透

Gender and Hand Identification Based on Dactyloscopy Using Deep Convolutional Neural Network,print can also describe the person’s gender along with the corresponding hand from which the print has been taken. In forensic anthropology, such usage of gender and hand identification from fingerprints is considered as a crucial step. It is taken care to identify a criminal and cut down on the num

Paleontology

A CNN-Based Approach for Face Recognition Under Different Orientations,omatically. When the face is orientated in different angles, most of the face recognition systems fail to identify the face, resulting in the degradation of the performance of the facial recognition system. To handle this issue, dataset containing face images should be created in such a manner that

maverick

有常识

Label Consistency-based Modified Sequential Dictionary Learning-based Approach for PIR Sensor-basedtection problems and investigate its performance in detail. In our earlier works, the direction of human movement detection problems was successfully solved using an indigenously developed hardware–software combined module; and in this connection, two other efficient DL algorithms were proposed usin

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解冻

,Stance Classification on FIFA World Cup Using Twitter Data,ollowing bring in a lot of online engagement between people with various viewpoints. Analyzing the stances in different public discourses from social media posts has gained research attraction. In this paper, we have tried to identify the stance of people on the FIFA World Cup 2022 from Twitter. Nat

艺术

Machine Learning-Based Phishing Detection in Heterogeneous Information Network,pins. There are a variety of phishing detection techniques in the emerging world of technology. List-based techniques or the site content-based techniques could not cope up with the uninterrupted development of phishing methodology. Hence, in this paper, an enhanced technique is proposed which const

inconceivable

Herbert J. Buchsbaum,Leslie A. Waltonnsemble learning-based machine learning methods. To validate the model‘s accuracy, we utilized a fivefold cross-validation technique with five performance measurements (precision, recall, F-measure, AUC_Score, and accuracy). Using the max voting dataset, we obtained the best accuracy of 97.12% for the long parameter list dataset.