A Crop Image Segmentation and Extraction Algorithm Based on Mask RCNN

Review Biochemistry & Molecular Biology

Image-based cell phenotyping with deep learning

Aditya Pratapa et al.

Summary: Deep learning plays a crucial role in high-throughput cell biology applications, aiding in the recognition, profiling, and prediction of cell phenotypes to address important biological questions.

CURRENT OPINION IN CHEMICAL BIOLOGY (2021)

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Article Environmental Sciences

Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask-RCNN Deep Learning Frameworks in Computer Vision

Wen-Hao Su et al.

Summary: This study demonstrates the feasibility of rapidly determining levels of FHB in wheat spikes using Mask region convolutional neural network (Mask-RCNN), which allows for reliable identification of the symptom location and the disease severity of wheat spikes. This method enables the rapid and efficient automatic recognition of wheat spikes and FHB diseased areas.

REMOTE SENSING (2021)

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Article Computer Science, Information Systems

Sobel Edge Detection Based on Weighted Nuclear Norm Minimization Image Denoising

Run Tian et al.

Summary: An optimized scheme for edge detection is proposed in this study, which combines the WNNM image denoising algorithm with the Sobel edge detection algorithm to enhance anti-noise performance. Experimental results demonstrate that the algorithm can achieve better detection outcomes when processing noisy images.

ELECTRONICS (2021)

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Article Computer Science, Interdisciplinary Applications

Projection-Based cascaded U-Net model for MR image reconstruction

Amir Aghabiglou et al.

Summary: The utilization of U-Net structure in MRI reconstruction has shown significant improvement in reconstruction performance through the development of a novel cascaded framework.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2021)

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Article Computer Science, Information Systems

Cloud-connected flying edge computing for smart agriculture

M. Ammad Uddin et al.

Summary: With the global shift towards cloud-based services, the limitations of traditional cloud computing such as large latency and compromised security have become more noticeable. Fog and edge computing have emerged as solutions to reduce these drawbacks, particularly in IoT-based applications like smart agriculture. The concept of flying edge computing, utilizing unmanned aerial vehicles (UAVs) to provide edge-computing capabilities in remote agricultural areas, offers a promising solution for fast deployment of edge facilities and achieving IoT-based smart agriculture objectives.

PEER-TO-PEER NETWORKING AND APPLICATIONS (2021)

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Article Mathematical & Computational Biology

Identity preserving multi-pose facial expression recognition using fine tuned VGG on the latent space vector of generative adversarial network

R. Nandhini Abiram et al.

Summary: This study focuses on using an encoder of a generative adversarial network to learn pose invariant representations for facial expression recognition and image generation. The styleGAN architecture is utilized to extract high-level features and perform facial expression classification.

MATHEMATICAL BIOSCIENCES AND ENGINEERING (2021)

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Article Astronomy & Astrophysics

The exomoon corridor: Half of all exomoons exhibit TTV frequencies within a narrow window due to aliasing

David Kipping

Summary: Exomoon TTVs are undersampled and are predicted to occur at consistently short periods, providing a simple tool for quickly identifying exomoon candidates.

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2021)

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Article Computer Science, Information Systems