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An Investigation of a Multidimensional CNN Combined with an Attention Mechanism Model to Resolve Small-Sample Problems in Hyperspectral Image Classification

Jinxiang Liu, Kefei Zhang, Suqin Wu, Hongtao Shi, Yindi Zhao, Yaqin Sun, Huifu Zhuang, Erjiang Fu
2022 Remote Sensing  
This study proposes a multidimensional CNN model named MDAN, which is constructed with an attention mechanism, to achieve an ideal classification performance of CNN within the framework of few-shot learning  ...  The convolutional neural network (CNN) method has been widely used in the classification of hyperspectral images (HSIs).  ...  Acknowledgments: The authors are very grateful to the providers of all the data used in this study for making their data available.  ... 
doi:10.3390/rs14030785 doaj:25cd76b099644b5fa0c1cb88a73c0e13 fatcat:qs2owk3eovfypfw56vv52uazum

Comparing End-to-End Machine Learning Methods for Spectra Classification

Yue Sun, Sandor Brockhauser, Péter Hegedűs
2021 Applied Sciences  
In this work, we deal with the spectra classification problem from two different perspectives, one is a general two-dimensional (2D) space segmentation problem, and the other is a common 1D time series  ...  This provides immediate feedback on the actual status of the experiment (e.g., time-resolved status of the sample), which helps guide the experiment.  ...  Acknowledgments: The authors would like to thank Christian Plueckthun and Zuzana Konopkova at European XFEL for providing the HED experimental spectral data and valuable discussions and interpretations  ... 
doi:10.3390/app112311520 fatcat:6bvh2opc3zaola6b55bvaqpd3e

Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks

Jovan Kalajdjieski, Eftim Zdravevski, Roberto Corizzo, Petre Lameski, Slobodan Kalajdziski, Ivan Miguel Pires, Nuno M. Garcia, Vladimir Trajkovik
2020 Remote Sensing  
These images are further enhanced with weather data to boost the classification accuracy.  ...  Air pollution is becoming a rising and serious environmental problem, especially in urban areas affected by an increasing migration rate.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.  ... 
doi:10.3390/rs12244142 fatcat:5xsuqnm6crfmfjo52h3gknhfri

Deep Learning for Health Informatics

Daniele Ravi, Charence Wong, Fani Deligianni, Melissa Berthelot, Javier Andreu-Perez, Benny Lo, Guang-Zhong Yang
2017 IEEE journal of biomedical and health informatics  
With a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade.  ...  Deep learning, a technique with its foundation in artificial neural networks, is emerging in recent years as a powerful tool for machine learning, promising to reshape the future of artificial intelligence  ...  For example, [144] shows that it is possible to add small changes to the input samples (such as imperceptible noise in an image) to cause samples to be misclassified.  ... 
doi:10.1109/jbhi.2016.2636665 pmid:28055930 fatcat:24hfhfasljhehb2phndoyu5rnm

Light Field Image Processing: An Overview

Gaochang Wu, Belen Masia, Adrian Jarabo, Yuchen Zhang, Liangyong Wang, Qionghai Dai, Tianyou Chai, Yebin Liu
2017 IEEE Journal on Selected Topics in Signal Processing  
Light field imaging has emerged as a technology allowing to capture richer visual information from our world.  ...  As opposed to traditional photography, which captures a 2D projection of the light in the scene integrating the angular domain, light fields collect radiance from rays in all directions, demultiplexing  ...  [120] proposed a model that combines the main idea of active wavefront sampling (AWS) with light fields.  ... 
doi:10.1109/jstsp.2017.2747126 fatcat:rvsfzvdxbbf4zesqdkaj3cseza

Recent Trends in AI-Based Intelligent Sensing

Abhishek Sharma, Vaidehi Sharma, Mohita Jaiswal, Hwang-Cheng Wang, Dushantha Nalin K. Jayakody, Chathuranga M. Wijerathna Basnayaka, Ammar Muthanna
2022 Electronics  
In recent years, intelligent sensing has gained significant attention because of its autonomous decision-making ability to solve complex problems.  ...  Furthermore, we present a taxonomy of AI models along with the cutting edge approaches.  ...  A hybrid model that combines ML and game theory is proposed in [55] to solve issues related to network selection in ultra-dense heterogeneous networks. • K-Nearest Neighbors (K-NN) is an effective classification  ... 
doi:10.3390/electronics11101661 fatcat:smuark52zjfjverlwlf2tzjpfa

Artificial Intellgence – Application in Life Sciences and Beyond. The Upper Rhine Artificial Intelligence Symposium UR-AI 2021 [article]

Karl-Herbert Schäfer
2021 arXiv   pre-print
The TriRhenaTech alliance is a network of universities in the Upper-Rhine Trinational Metropolitan Region comprising of the German universities of applied sciences in Furtwangen, Kaiserslautern, Karlsruhe  ...  The alliance's common goal is to reinforce the transfer of knowledge, research, and technology, as well as the cross-border mobility of students.  ...  Acknowledgements The authors would like to thank D. Iordanov for the contribution to the development of the application within his studies at Mainz University of Applied Sciences.  ... 
arXiv:2112.05657v1 fatcat:wdjgymicyrfybg5zth2dc2i3ni

Data Analysis Methods for Software Systems

Jolita Bernatavičienė
2021 Vilnius University Proceedings  
Plenary sessions can be attended remotely, even if the conference participant is staying in a hotel. Efforts will also be made to regulate the flow of participants.  ...  When we organize it, the main priority is the health of the participants. There is a possibility to read the oral presentations online.  ...  Yet, no standardized mathematical method exists to resolve this problem, with only a few ad-hoc solutions published thus far.  ... 
doi:10.15388/damss.12.2021 fatcat:iefv6bz3drcrfpcwxoaqmu3gra

Agriculture Spatiotemporal Business Intelligence using Open Data Integration

Irya Wisnubhadra, Stephanie Pamela Adithama, Safiza Suhana Kamal Baharin, Nanna Suryana Herman
2019 2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)  
Various applications can support multiple sectors of human life. In the past, it was only a dream, which was then outlined in an idea, could a machine think? If the machine could think, then how?  ...  From a business perspective, artificial intelligence is seen as a collection of compelling and methodological tools in solving business problems.  ...  Indonesia as an agrarian country is often faced with problems and challenges to achieve sustainable food security.  ... 
doi:10.1109/isriti48646.2019.9034635 fatcat:klam5teoejhhvbxbycuzeihks4

Multi-Omics Techniques for Soybean Molecular Breeding

Pan Cao, Ying Zhao, Fengjiao Wu, Dawei Xin, Chunyan Liu, Xiaoxia Wu, Jian Lv, Qingshan Chen, Zhaoming Qi
2022 International Journal of Molecular Sciences  
Now, rapid progress in plant omics is ushering in a new era of precision design breeding, exemplified by the engineering of elite soybean varieties with specific oil compositions to meet various end-use  ...  It facilitated advances in soybean transcriptomics, proteomics, metabolomics, and phenomics, all of which paved the way for an integrated approach to molecular breeding in soybean.  ...  Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/ijms23094994 pmid:35563386 pmcid:PMC9099442 fatcat:rx6xymbmmncnxpw4vgd5rg7z6y

A hybrid deep learning-improved BAT optimization algorithm for soil classification using remote sensing hyperspectral features

Ujjal Roy
A hybrid deep learning-improved BAT optimization algorithm for soil classification using remote sensing hyperspectral featuresA hybrid deep learning-improved BAT optimization algorithm for soil classification  ...  BAT optimization algorithm for soil classification using remote sensing hyperspectral features  ...  Acknowledgements The research work titled as "Distribution System State Estimation Considering Renewable Energy Sources with Optimized PMU Placements" by A. Thamaraiselvi  ... 
doi:10.6084/m9.figshare.16943230.v1 fatcat:mxxls6u2ufgxrieromvsxwgxni

Metabolomics-Guided Elucidation of Plant Abiotic Stress Responses in the 4IR Era: An Overview

Morena M. Tinte, Kekeletso H. Chele, Justin J. J. van der Hooft, Fidele Tugizimana
2021 Metabolites  
Thus, there is an urgent need for the next generation of crops with high productivity and resilience to climate change.  ...  The dawn of a new era characterized by the emergence of fourth industrial revolution (4IR) technologies has redefined the ideological boundaries of research and applications in plant sciences.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/metabo11070445 fatcat:grizhdxgnzcaxlcwr2octo2wdy

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
Article numbers are based on specified topic areas and corresponding codes associated with the publication.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., +, TIM 2021 5012311 Fusing Multiple Deep Models for In Vivo Human Brain Hyperspectral Image Classification to Identify Glioblastoma Tumor.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

QCM Sensor Arrays, Electroanalytical Techniques and NIR Spectroscopy Coupled to Multivariate Analysis for Quality Assessment of Food Products, Raw Materials, Ingredients and Foodborne Pathogen Detection: Challenges and Breakthroughs

David K. Bwambok, Noureen Siraj, Samantha Macchi, Nathaniel E. Larm, Gary A. Baker, Rocío L. Pérez, Caitlan E. Ayala, Charuksha Walgama, David Pollard, Jason D. Rodriguez, Souvik Banerjee, Brianda Elzey (+2 others)
2020 Sensors  
of food products in the field and/or in the production line in a food manufacturing industry is a major technological and analytical challenge.  ...  In addition, chemometric approaches and multivariate analyses of spectral data for NIR instrumental calibration and sample analyses for quality assessments and assurances of selected food products and  ...  To resolve this problem, Pereira et al. applied PLS-DA to the data, achieving 100% sensitivity, accuracy and specificity for classification of samples.  ... 
doi:10.3390/s20236982 pmid:33297345 fatcat:yiuzjmvl7rdatnfwdfq7aacakm

Welcome message from the General Chairs

Giovanni Giambene, Boon Sain Yeo
2009 2009 International Workshop on Satellite and Space Communications  
This year we received a total of 153 high-quality papers from more than 20 countries. Many papers demonstrated notable systems with good analytical and/or empirical analyses.  ...  Based on these rigorous reviews, IES 2014 accepted 106 papers for inclusion in the conference program, which represents an acceptance rate of 69%.  ...  We also investigated ELM configuration that results best accuracy for solving our classification problem in terms of the number of training data, regularization factor, the number of time samples, and  ... 
doi:10.1109/iwssc.2009.5286448 fatcat:wcu4uzasizhzjmdkzyekynnqwi
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