Malaria disease recognition through adaptive deep learning models of convolutional neural network

SV Militante - 2019 IEEE 6th International Conference on …, 2019 - ieeexplore.ieee.org
Malaria is a disease from blood generated by the Plasmodium parasites spread through the
bite of female Anopheles mosquito. Medical personnel diagnose and checks for malaria …

Unconstrained ear recognition using transformers

MB Alejo - Jordanian Journal of Computers and Information …, 2021 - search.proquest.com
The advantages of the ears as a means of identification over other biometric modalities
provided an avenue for researchers to conduct biometric recognition studies on state-of-the …

[PDF][PDF] Advancing Biometric Identity Recognition with Optimized Deep Convolutional Neural Networks.

H Alshazly, H Elmannai, RI Alkanhel… - Traitement Du …, 2024 - researchgate.net
Biometric identity recognition, capitalizing on unique physical attributes, represents an
increasingly explored research field within the biometrics community, with implications …

Deep convolutional neural network-based effective model for 2D ear recognition using data augmentation

R Mehta, KK Singh - The Imaging Science Journal, 2024 - Taylor & Francis
In the pandemic of COVID-19, identifying a person from their face became difficult due to
wearing of mask. In regard to the given circumstances, the authors have remarkably put …

Person Identification Through Ear Biometrics—A Systematic Survey

P Sharma, KR Seeja - … on Information and Communication Technology for …, 2023 - Springer
Biometrics plays a significant role in many sectors of modern society, like banking
transactions, person identification, and surveillance. The ear is used as a biometric trait …

[PDF][PDF] 域适应网络与平衡动态分布自适应的轴承变工况故障迁移诊断研究

王廷轩, 王贵勇, 刘韬, 王振亚 - 机械强度, 2023 - qikan.cmes.org
机械设备在工业现场下的工况复杂多变, 导致故障样本分布不均, 给传统机器学习带来巨大的
困扰. 针对上述问题, 提出了一种基于域适应神经网络与平衡动态分布自适应的轴承故障迁移 …

Detection of Different Types of Ear Diseases in Infants Using Deep Learning for Early Treatment

S Divakaran, T Sudhakar, L Parthiban… - … Conference on Self …, 2023 - ieeexplore.ieee.org
The loss or inability of auditory sense is the most common sensory organ deficiency. Out of
every 1000 new-borns, 5–6 are deaf or hard of hearing. They will not be detected until they …

[PDF][PDF] Different Biometrical Features for Detecting Human Intrusion Using Artificial Intelligence: Literature Review

A Younis - AL-Rafidain Journal of Computer Sciences and …, 2022 - iasj.net
Many cases of theft and property trespass in addition to crimes occur in the world after these
people break into people's homes and buildings illegally, so this article aims to shed light on …

میزات بیومتریة مختلفة لکشف التطفل البشری باستخدام الذکاء الاصطناعی: مقالة

نزار, انسام - مجلة الرافدین لعلوم الحاسوب والریاضیات, 2022‎ - csmj.mosuljournals.com
تحدث العدید من حالات السرقة والتعدی على الممتلکات بالإضافة إلى الجرائم فی العالم بعد اقتحام
هؤلاء الأشخاص لمنازل الناس ومبانیهم بشکل غیر قانونی، لذلک یهدف هذا البحث إلى إلقاء الضوء على …

[PDF][PDF] Philippine Banknote Counterfeit Detection through Domain Adaptive Deep Learning Model of Convolutional Neural Network

MB Alejo, LD Villanueva… - … Of Computing and …, 2021 - pdfs.semanticscholar.org
Money counterfeiting is the illegal duplication of any currency for the use of deceiving any
entity in exchange for a real-world value. Due to the advancements in computer vision in …