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Efficient Deep Learning Architectures for Fast Identification of Bacterial Strains in Resource-Constrained Devices [article]

R. Gallardo García and S. Jarquín Rodríguez and B. Beltrán Martínez and C. Hernández Gracidas and R. Martínez Torres
2021 arXiv   pre-print
This work presents twelve fine-tuned deep learning architectures to solve the bacterial classification problem over the Digital Image of Bacterial Species Dataset.  ...  designs, in order to make them able to solve the bacterial classification problem by using fine-tuning and transfer learning techniques.  ...  This paper presents a comparison among several deep learning architectures when solving the task of bacterial strain classification.  ... 
arXiv:2106.06505v1 fatcat:lnk42blz3rhaxaoihmzwpp2mmu

2021 Index IEEE Transactions on Mobile Computing Vol. 20

2022 IEEE Transactions on Mobile Computing  
., +, TMC Dec. 2021 3351-3366 QoS-Based Budget Constrained Stable Task Assignment in Mobile Crowd- Joint Resource Allocation for Device-to-Device Communication Assisted  ...  on Mobile Devices Using Deep in 5G Networks.  ... 
doi:10.1109/tmc.2021.3133125 fatcat:xbdfaozpkjbbjm3gfbmxcmzj6i

An Empirical Study on System Level Aspects of Internet of Things (IoT)

Narasimha Swamy S, Kota Solomon Raju
2020 IEEE Access  
Acknowledgment The authors would like to thank the Indian National Academy of Engineering (INAE), Gurgaon, and R V College of Engineering (RVCE), Bengaluru, for their financial support.  ...  The authors would also like to thank the P C Panchariya, Director, CSIR-CEERI, Pilani, for his encouragement and constant support.  ...  Energy-efficient blockchain solutions need to be developed for the resource-constrained IoT devices.  ... 
doi:10.1109/access.2020.3029847 fatcat:5nprx4xtbjfnnkyibk6vbeg47m

Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directions

Subrato Bharati, Prajoy Podder, Jinbo Xiong
2022 Security and Communication Networks  
On the other hand, various new insights in machine and deep learning for IoT securities illustrate how it could help future research.  ...  In recent years, deep learning (DL)/machine learning (ML) has progressed significantly in various critical implementations.  ...  Data from billions of IoT devices allow deep learning models to outperform shallow algorithms in learning. e authors in [60] claimed that the majority of the used deep learning architectures applied  ... 
doi:10.1155/2022/8951961 fatcat:n4rb7rtgrjbybmen66oyrzkhle

Recent Advances in Image Processing Techniques for Automated Leaf Pest and Disease Recognition - A Review

Lawrence C. Ngugi, Moataz Abelwahab, Mohammed Abo-Zahhad
2020 Information Processing in Agriculture  
We hope that this work will be a valuable resource for researchers in this area of crop pest and disease recognition using image processing techniques.  ...  We report that recent efforts have focused on the use of deep learning instead of training shallow classifiers using handcrafted features.  ...  Funding This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. R E F E R E N C E  ... 
doi:10.1016/j.inpa.2020.04.004 fatcat:xiox5e4nxfenjmbikxxt7yxicm

Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2016 Budget Estimates

Department Of Defense Comptroller's Office
2015 Zenodo  
The Defense Advanced Research Projects Agency (DARPA) FY2016 amounted to $2.868 billion in the President's request to support high-risk, high-reward research.  ...  The technical approach to target identification will start from "deep learning" algorithms pioneered for facial recognition and the identification of critical image features.  ...  Recent breakthroughs in deep learning, sparse representations, manifold learning, and embedded systems offer promise for dramatic improvements in ATR.  ... 
doi:10.5281/zenodo.1215366 fatcat:cqn5tyfixjanzp5x3tgfkpedri

Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2015 Budget Estimates

Department Of Defense Comptroller's Office
2014 Zenodo  
The budget request details the proposed investments $80 million to develop new sets of tools for imaging and analytics of neural and synaptic brain activities that will improve diagnosis and care of wounded  ...  Included in this category is the National Center for Advancing Translational Sciences (NCATS) efforts to reengineer drug discovery and development in collaboration with industry, academia, the Food and  ...  Recent breakthroughs in deep learning, sparse representations, manifold learning, and embedded systems offer promise for dramatic improvements in ATR.  ... 
doi:10.5281/zenodo.1215345 fatcat:fjzhmynqjbaafk67q2ckcblj2m

A Special issue on Multidisciplinary research to promote the applications in Biological sciences

Guest Editor Dr. M. Manikandan
2022 International Journal of Life Science and Pharma Research  
The articles in this issue are led by editors who are experts in the subject and oversee the editorial process for papers.  ...  The potentially advanced special issue focuses on application of principles and problem-solving techniques of information technology in healthcare and agricultural sector.  ...  In this paper, deep learning model is used for predicting the protein stability in the presence of single mutation.  ... 
doi:10.22376/ijpbs/ijlpr/sp22/2022.1-154 fatcat:rcydgammlzgodof3kw3fcdgpji

Automated identification of Myxobacterial genera using Convolutional Neural Network

Hedieh Sajedi, Fatemeh Mohammadipanah, Ali Pashaei
2019 Scientific Reports  
These multicellular structures are essential for their resistance in ecosystems and is used in the primitive identification of these bacteria while their accurate taxonomic position is confirmed by the  ...  The accuracy of 77.24% in recognition of genera and accuracy of 88.92% in recognition of suborders illustrate the applicability property of the proposed machine learning model.  ...  Data availability The analysis data of this study are available from the corresponding authors for follow up studies.  ... 
doi:10.1038/s41598-019-54341-5 pmid:31796781 pmcid:PMC6890705 fatcat:f3p35tsm6rhz5pmxze5xn7tfaq

Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer [article]

Jinghua Zhang, Chen Li, Yimin Yin, Jiawei Zhang, Marcin Grzegorzek
2022 arXiv   pre-print
The analysis of microorganisms is essential for making full use of different microorganisms. The conventional analysis methods are laborious and time-consuming.  ...  After that, the papers related to microorganism image analysis based on classical and deep neural networks are reviewed from the perspectives of different tasks.  ...  Guoxian Li for their important discussion in this work. Chen Li is both the co-first author and corresponding author of this paper.  ... 
arXiv:2108.00358v3 fatcat:urt7siqpg5hrtdctxbfjhv4krq

Program

2022 2022 International Conference on Decision Aid Sciences and Applications (DASA)  
A maximum of 92.90% classification accuracy is obtained using the features of IMF-4 with 10-fold cross-validation. The results conclude that the proposed method can detect AD patients efficiently.  ...  The selected features from EEG recordings of 23 subjects (AD-12 and NC-11) are used to train and test the Leastsquare support vector machine (LS-SVM) classifier with three different kernel functions.  ...  In this study, DenseNet121 architecture, which is a deep learning-based method, is proposed for detecting potholes in roads.  ... 
doi:10.1109/dasa54658.2022.9765271 fatcat:ttqppf4j3navnaxe653mrzmezi

A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

Yudong Zhang, Shuihua Wang, Genlin Ji
2015 Mathematical Problems in Engineering  
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used optimization techniques.  ...  It is hoped that this survey would be beneficial for the researchers studying PSO algorithms.  ...  [279] presented a methodology for the identification of parameter values in the Barcelona basic model (BBM) by inverse analysis of the experimental cavity pressure-cavity strain curve from pressure-meter  ... 
doi:10.1155/2015/931256 fatcat:ubc5eywnhzdjllxjaywe4czhnm

Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2019 Budget Estimates

Department Of Defense Comptroller's Office
2018 Zenodo  
To enable in-theater, continuousanalysis and treatment of warfighters, this project seeks to explore diagnostic andtherapeutic approaches, including the use of bacterial predators as therapeuticsagainst  ...  long-term national security enhancement through the discovery of new phenomena and the exploration of the potential of such phenomena for defense applications.  ...  The technical approach to target recognition will start from "deep learning" and 2D/3D machine vision algorithms pioneered for facial recognition and the identification of critical image features.  ... 
doi:10.5281/zenodo.1215599 fatcat:kxduvg6a5nflhf6iilkwnolobu

Towards accurate and reliable resolution of structural variants for clinical diagnosis

Zhichao Liu, Ruth Roberts, Timothy R. Mercer, Joshua Xu, Fritz J. Sedlazeck, Weida Tong
2022 Genome Biology  
Here, we discuss current developments in the diagnosis of SVs and propose a roadmap for the accurate and reproducible detection of SVs that includes case studies provided from the FDA-led SEquencing Quality  ...  This difficulty and diversity make the detection of SVs for clinical applications challenging and requires a framework to ensure accuracy and reproducibility.  ...  Acknowledgements FJS was in part funded over the US National Institutes of Health (UM1 HG008898).  ... 
doi:10.1186/s13059-022-02636-8 pmid:35241127 pmcid:PMC8892125 fatcat:44u3sixevndcxmblb6ionrcdmy

IODP New Ventures in Exploring Scientific Targets (INVEST): Defining the New Goals of an International Drilling Program

Wolfgang Bach, Christina Ravelo, Jan Behrmann, Gilbet Camoin, Robert Duncan, Katrina Edwards, Sean Gulick, Fumio Inagaki, Heiko Pälike, Ryuji Tada
2010 Scientific Drilling  
The red and blue branches represent archaeal and bacterial phyla, respectively, and include sequences frequently detected from the deep subseafloor biosphere.  ...  Recommendations for the Architecture of a New Program Scientific planning in the new ocean drilling program should be driven from the "bottom up", with scientists playing key roles in defining specific  ... 
doi:10.2204/iodp.sd.9.12.2010 fatcat:2ngvbdv65zdgrngefn64ibzevq
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