An explainable deep learning framework for few shot crop disease detection in rice and sugarcane using CNN based feature extraction [PDF]
Scientific ReportsWhere crop health is essential to global food security. Our focus is on early crop disease detection in the field of agriculture, especially Rice and Sugar cane leaf disease. This prompts researchers to consider quick, automated, cost-effective, precise,
Heba El-Behery +2 more
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Essential magnetosome proteins MamI and MamL from magnetotactic bacteria interact in mammalian cells [PDF]
Scientific ReportsTo detect cellular activities deep within the body using magnetic resonance platforms, magnetosomes are the ideal model of genetically-encoded nanoparticles. These membrane-bound iron biominerals produced by magnetotactic bacteria are highly regulated by
Qin Sun +6 more
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An Adaptive Framework for Intrusion Detection in IoT Security Using MAML (Model-Agnostic Meta-Learning) [PDF]
SensorsWith the rapid emergence of the Internet of Things (IoT) devices, there were new vectors for attacking cyber, so there was a need for approachable intrusion detection systems (IDSs) with more innovative custom tactics.
Fatma S. Alrayes +2 more
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Representation of atmosphere-induced heterogeneity in land–atmosphere interactions in E3SM–MMFv2 [PDF]
Geoscientific Model Development, 2023 In the Energy Exascale Earth System Model (E3SM) Multi-scale Modeling Framework (MMF), where parameterizations of convection and turbulence are replaced by a 2-D cloud-resolving model (CRM), there are multiple options to represent land–atmosphere ...
J. Lee, W. M. Hannah, D. C. Bader
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comparison of small sample methods for Handshape Recognition
Journal of Computer Science and Technology, 2023 Automatic Sign Language Translation (SLT) systems can be a great asset to improve the communication with and within deaf communities. Currently, the main issue preventing effective translation models lays in the low availability of labelled data, which ...
Franco Ronchetti +6 more
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Permute-MAML: exploring industrial surface defect detection algorithms for few-shot learning
Complex & Intelligent Systems, 2023 Computer vision has developed rapidly in recent years, invigorating the area of industrial surface defect detection while also providing it with modern perception capabilities.
ShanChen Pang +4 more
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Human Activity Recognition with Meta-learning and Attention [PDF]
Jisuanji kexue, 2023 With the in-depth research of deep learning technology,its application and development in the field of behavior recognition have been greatly promoted.Current research on behavior recognition based on deep learning usually requires a large training data ...
WANG Jiahao, ZHONG Xin, LI Wenxiong, ZHAO Dexin
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Fairness warnings and fair-MAML [PDF]
Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 2020 Motivated by concerns surrounding the fairness effects of sharing and transferring fair machine learning tools, we propose two algorithms: Fairness Warnings and Fair-MAML. The first is a model-agnostic algorithm that provides interpretable boundary conditions for when a fairly trained model may not behave fairly on similar but slightly different tasks ...
Slack, Dylan, '19 +2 more
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IEEE Access, 2023 Indian languages share a lot of overlap in acoustic and linguistic content. Though different languages use different writing systems, the phoneme sets logically overlap.
C. S. Anoop, A. G. Ramakrishnan
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Face Plastic Surgery Recognition Model Based on Neural Network and Meta-Learning Model [PDF]
Journal of Universal Computer Science, 2023 Facial recognition is a procedure of verifying a person's identity by using the face, which is considered one of the biometric security methods.
Rasha R. Atallah +2 more
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