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Performance of Deep Learning Techniques in Leaf Disease Detection

Computer Systems Science & Engineering 2024年第5期48卷 1349-1366页

作者： robertas damasevicius Faheem Mahmood Yaseen Zaman Sobia Dastgeer Sajid Khan Centre of Real Time Computer Systems Kaunas University of TechnologyKaunas51386Lithuania Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science City UniversityPeshawar25000Pakistan

Plant diseases must be identified as soon as possible since they have an impact on the growth of the corresponding ***,the identification of leaf diseases is essential in this field of *** brought on by bacteria,viruses,and fungi are a significant factor in reduced crop *** machine learning models have been applied in the identification of plant diseases,however,with the recent developments in deep learning,this field of study seems to hold huge potential for improved *** study presents an effective method that uses image processing and deep learning approaches to distinguish between healthy and infected *** effectively identify leaf diseases,we employed pre-trained models based on Convolutional Neural Networks(CNNs).There are four deepneural networks approaches used in this study:ConvolutionalNeuralNetwork(CNN),Inception-V3,Dense Net-121,and *** focus was on optimizing the hyper-parameters of these deep learningmodels with prior *** the evaluation of these deep neural networks,standard evaluation measures are used,such as F1-score,recall,precision,accuracy,and AreaUnderCurve(AUC).The overall outcomes showthe better performance of Inception-V3 with an achieved accuracy of 95.5%,as well as the performance of DenseNet-121 with an accuracy of 94.4%.VGG-16 performed well as well,with an accuracy of 93.3%,and CNN achieved an accuracy of 91.9%.

关键词： Smart agriculture deep learning plant disease recognition

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Mitochondria-localized β-actin is essential for priming innate antiviral immune signaling by regulating IRF3 protein stability

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Cellular & Molecular Immunology 2019年第10期16卷 837-840页

作者： Xin Xie Martin Endara-Coll Raza Mahmood robertas Jankauskas Tamara Gjorgjieva Piergiorgio Percipalle Science Division Biology ProgramNew York University Abu Dhabi(NYUAD)P.O.Box 129188 Abu DhabiUnited Arab Emirates Department of Molecular Biosciences The Wenner-Gren InstituteStockholm UniversitySE-10691StockholmSweden New York University Center for Genomics and Systems Biology NYUNew YorkNYUSA

Antiviral innate immunity acts as a defensive barrier to viral infection in both immune and nonimmune *** viral nucleic acids present in the cytoplasm after viral replication can activate sensors such as the RIG-I-lik... 详细信息

关键词： immunity immune stability

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Multiple conical odd harmonics from filament-inscribed nanogratings

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Photonics Research 2023年第11期11卷 1814-1819页

作者： robertas GRIGUTIS VYTAUTAS JUKNA GINTARAS TAMOŠAUSKAS AUDRIUS DUBIETIS Laser Research Center Vilnius UniversityLT-10223 VilniusLithuania

We report on the observation of conical third,fifth,seventh,and ninth harmonics that gradually emerge during the supercontinuum generation by filamentation of femtosecond midinfrared pulses in lithium strontium hexafluoroaluminate *** show that the generation of conical odd harmonics is an optical signature of lightdriven material reorganization in the form of volume nanogratings at the site irradiated by repetitive femtosecond *** angle-resolved spectral measurements demonstrate remarkably broad spectra of individual odd harmonics,benefiting from a spectrally broadened pump pulse(supercontinuum),and reveal that filamentinscribed nanogratings represent photonic structures that are able to provide ultrabroad phase-matching bandwidths covering the wavelength range from the ultraviolet to the near *** propose a scenario that interprets the generation of conical fifth,seventh,and ninth harmonics as nanograting phase-matched cascaded noncollinear four-wave mixing processes.

关键词： pump harmonics conical

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Multi-Layered Deep Learning Features Fusion for Human Action Recognition

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Computers, Materials & Continua 2021年第12期69卷 4061-4075页

作者： Sadia Kiran Muhammad Attique Khan Muhammad Younus Javed Majed Alhaisoni Usman Tariq Yunyoung Nam robertas Damaševicius Muhammad Sharif Department of Computer Science HITEC University TaxilaTaxilaPakistan College of Computer Science and Engineering University of Ha’ilHa’ilSaudi Arabia College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz UniversityAl-KhrajSaudi Arabia Department of Computer Science and Engineering Soonchunhyang UniversityAsanKorea Faculty of Applied Mathematics Silesian University of TechnologyGliwicePoland Department of Computer Science COMSATS University IslamabadWah CampusPakistan

Human Action Recognition(HAR)is an active research topic in machine learning for the last few *** surveillance,robotics,and pedestrian detection are the main applications for action *** vision researchers have introduced many HAR techniques,but they still face challenges such as redundant features and the cost of *** this article,we proposed a new method for the use of deep learning for *** the proposed method,video frames are initially pre-processed using a global contrast approach and later used to train a deep learning model using domain transfer *** Resnet-50 Pre-Trained Model is used as a deep learning model in this *** are extracted from two layers:Global Average Pool(GAP)and Fully Connected(FC).The features of both layers are fused by the Canonical Correlation Analysis(CCA).Then features are selected using the Shanon Entropy-based threshold *** selected features are finally passed to multiple classifiers for final *** are conducted on five publicly available datasets as IXMAS,UCF Sports,YouTube,UT-Interaction,and *** accuracy of these data sets was 89.6%,99.7%,100%,96.7%and 96.6%,*** with existing techniques has shown that the proposed method provides improved accuracy for ***,the proposed method is computationally fast based on the time of execution.

关键词： Action recognition transfer learning features fusion features selection classification

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企鹅享受“难以置信的泡泡”体验（英文）

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英语画刊(高中版) 2020年第33期 10-11页

作者： robertas Lisickis

为了让动物园里的企鹅在疫情期间保持活力和好心情,英国纽基动物园决定为企鹅们安装一个泡泡机。Considering how fun bubbles can actually be,the Newquay Zoo recently decided to install a bubble machine in their penguin enclosure in hopes of keeping the very social birds entertained during the lockdown when visitor counts sank to ***,oh boy,did the penguins have some fun.

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