Zobrazeno 1 - 10
of 601
pro vyhledávání: '"Gopikrishna, P."'
Autor:
Pavuluri, Gopikrishna, Annem, Gayathri
In this research we propose a deep learning approach for detecting anomalies in videos using convolutional autoencoder and decoder neural networks on the UCSD dataset.Our method utilizes a convolutional autoencoder to learn the spatiotemporal pattern
Externí odkaz:
http://arxiv.org/abs/2311.04351
People counting system in crowded places has become a very useful practical application that can be accomplished in various ways which include many traditional methods using sensors. Examining the case of real time scenarios, the algorithm espoused s
Externí odkaz:
http://arxiv.org/abs/2311.03323
Publikováno v:
Discover Applied Sciences, Vol 6, Iss 11, Pp 1-12 (2024)
Abstract This paper presents a novel metamaterial absorber designed to function effectively across the S, C, X, and Ku frequency bands (2–18 GHz). The unit cell of the metamaterial absorber is derived from an edge-intruded triangular structure, exh
Externí odkaz:
https://doaj.org/article/31678281d7a44e13822b6032b76d300a
Publikováno v:
ITEGAM-JETIA, Vol 10, Iss 50 (2024)
Industrial motor drives, particularly three phase induction motor drives, have been adopting Modular Multilevel Converters (MMC). MMC is utilized in the design of power and control circuits to give the appropriate switching sequences that yield the c
Externí odkaz:
https://doaj.org/article/74f2df5b7ece435d903b4a50f1f1a3e3
Autor:
Pao-Feng Tsai, Joseph L. Edison, Chih-Hsuan Wang, Michael W. Gramlich, Kailea Q. Manning, Gopikrishna Deshpande, Adil Bashir, JoEllen Sefton
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The objective of this study is to determine characteristics of patients with myofascial pain syndrome (MPS) of the low back and the degree to which the low back pain in the patients examined can be attributed to MPS. Twenty-five subjects wit
Externí odkaz:
https://doaj.org/article/0134706cc0ae4880bf1760d1fba08aba
Anomaly detection is a ubiquitous and challenging task relevant across many disciplines. With the vital role communication networks play in our daily lives, the security of these networks is imperative for smooth functioning of society. To this end,
Externí odkaz:
http://arxiv.org/abs/2210.02841
Autor:
Siri D, Gopikrishna Vellaturi, Shaik Hussain Shaik Ibrahim, Srikanth Molugu, Venkata Subbaiah Desanamukula, Raviteja Kocherla, Ramesh Vatambeti
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e35217- (2024)
Underwater cameras are crucial in marine ecology, but their data management needs automatic species identification. This study proposes a two-stage deep learning approach. First, the Unsharp Mask Filter (UMF) preprocesses images. Then, an enhanced re
Externí odkaz:
https://doaj.org/article/4991842b52bb47de95124a3d126cb3fa
Nowadays, industry 4.0 plays a tremendous role in the manufacturing industries for increasing the amount of data and accuracy in modern manufacturing systems. Thanks to artificial intelligence, particularly machine learning, big data analytics have d
Externí odkaz:
http://arxiv.org/abs/2203.11649
Publikováno v:
Endodontology, Vol 36, Iss 3, Pp 208-209 (2024)
This position statement on the management of separated instruments, endorsed by the Indian Endodontic Society, aims to provide a brief perspective on the challenges faced during shaping of the complex root canal system, and how the inadvertent separa
Externí odkaz:
https://doaj.org/article/1745f58c7ec84351a8548e335aecc5b6
Publikováno v:
Oral Oncology Reports, Vol 10, Iss , Pp 100323- (2024)
Oral squamous cell carcinoma (OSCC) is one of the most common malignancies, with a poor prognosis, and must be diagnosed early for better treatment. Because it develops in a multiphase process, it offers the advantage of diagnosing it at an early sta
Externí odkaz:
https://doaj.org/article/1dcbb3f50337410788c3231513c4fdcf