In recent years, the use of time series analysis has become widespread, prompting researchers to explore methods to improve classification.Time series self-supervised learning has emerged as a significant area of study, aiming to uncover patterns in unlabeled data for richer information.Contrastive self-supervised learning, particularly, has gained
EFEKTIVITAS PROMOSI MELALUI INSTAGRAM PADA UMKM SEKTOR MAKANAN DAN MINUMAN DI KOTA PEKANBARU
SME in the midst of globalization and high competition makes SME must be able to face global challenges, such as improving product and service innovation, To foster consumer interest to try and buy products, required the efforts of various effective marketing strategy one of them with promotional activities.One of the media including the internet m
Adversarial Attacks with Defense Mechanisms on Convolutional Neural Networks and Recurrent Neural Networks for Malware Classification
In the field of behavioral detection, deep learning has been extensively utilized.For example, deep learning models have been utilized to detect and classify malware.Deep learning, however, has vulnerabilities that can be exploited with crafted inputs, resulting in malicious files being misclassified.Cyber-Physical Systems (CPS) may be compromised
Evaluation of imprint smears of bronchoscopic biopsy in lung tumors: A cytohistological correlation
Background: There are several methods for obtaining samples in patients of lung tumors, of which bronchoscopic biopsy is the most common.In most of Indian scenario, however, histopathology diagnosis is time taking.Aims and Objectives: To evaluate imprint cytology as a tool for rapid diagnosis of lung carcinoma and its histopathological correlation.