Objective: Construct a predictive model for rehabilitation outcomes in ischemic stroke patients 3 months post-stroke using resting state functional magnetic resonance imaging (fMRI) images, as well as ...

Abstract: Short-term load prediction as a basic work of operation and control in power system plays an important role for power operation and scheduling, motor start-stop, etc. 5th generation (5G) ...

We are currently training with the following code: yolov8Det = trainYOLOv8ObjectDetector('data.yaml', 'yolov8n.pt', ImageSize=[720 720 3], MaxEpochs=10); The structure of yolov8n.pt that we are using ...

Japanese carrier All Nippon Airways has implemented a turbulence-prediction service based on artificial intelligence, following several years of testing and validation. ANA and Keio University formed ...

1 Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. 2 Electrical and Communication Engineering Department, United Arab Emirates University, Al ...

Advancements in Interoperability: Achieving Anatomic Pathology Reports That Adhere to International Standards and Are Both Human-Readable and Readily Computable The imaging cohort consisted of ...

Multimodal-AlgPro is an advanced deep learning framework designed to enhance allergen prediction by integrating multimodal data sources. By combining sequence, composition, physicochemical properties, ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c00773. Ablation study, theoretical foundations, additional ...

1Department of Radiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. 2Guangdong Provincial Key Laboratory of ...

Rashod Bateman’s fantasy journey has been a rollercoaster of injuries, inconsistency, and flashes of untapped potential. After a promising finish to 2024 filled with explosive plays and red-zone ...