Results 81 to 90 of about 10,061,248 (351)

ConvLSTM–ViT: A Deep Neural Network for Crop Yield Prediction Using Earth Observations and Remotely Sensed Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This article introduces an approach for soybean yield prediction by integrating convolutional long short-term memory (ConvLSTM), three-dimensional convolutional neural network (3D-CNN), and vision transformer (ViT).
Seyed Mahdi Mirhoseini Nejad, D. Abbasi-Moghadam, Alireza Sharifi   +2 more
semanticscholar   +1 more source

Biochar yield prediction using response surface methodology: effect of fixed carbon and pyrolysis operating conditions

Biomass Conversion and Biorefinery, 2023
Generating value from wastes via pyrolysis has been increasingly researched in recent times. Biochar is a versatile pyrolysis product with yields based on many process parameters, including feedstock type and particle size, and operating conditions such ...
Sabah Mariyam, M. Alherbawi, Snigdhendubala Pradhan, T. Al-Ansari, G. Mckay   +4 more
semanticscholar   +1 more source

Reaction classification and yield prediction using the differential reaction fingerprint DRFP [PDF]

, 2021
Predicting the nature and outcome of reactions using computational methods is a crucial tool to accelerate chemical research. The recent application of deep learning-based learned fingerprints to reaction classification and reaction yield prediction has ...
Reymond, Jean-Louis, Probst, Daniel, Jean-Louis, Reymond, Daniel, Probst, Philippe , Schwaller, Schwaller, Philippe   +5 more
core   +3 more sources

Infant Embryonal CNS Tumors: Molecular Insights and Treatment Considerations for Contemporary Pediatric Neuro‐Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan, Mariah Wright‐Nadkarni, Mohamed S. Abdelbaki, Girish Dhall   +3 more
wiley   +1 more source

Deep Learning for Multi-Source Data-Driven Crop Yield Prediction in Northeast China

Agriculture
The accurate prediction of crop yields is crucial for enhancing agricultural efficiency and ensuring food security. This study assesses the performance of the CNN-LSTM-Attention model in predicting the yields of maize, rice, and soybeans in Northeast ...
Jian Lu, Jian Li, Hongkun Fu, Xuhui Tang, Zhao Liu, Hui Chen, Yue Sun, Xiangyu Ning   +7 more
semanticscholar   +1 more source

Survival After Hematopoietic Stem Cell Transplantation in Diamond–Blackfan Anemia Syndrome: The Role of Iron Overload—A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT We assessed the effect of iron overload (IO) on mortality and complications following hematopoietic stem cell transplantation (HSCT) in patients with Diamond–Blackfan anemia syndrome (DBAS) in a systematic review of individual participant data and cohort data from observational studies.
Geoffrey Z. L. Kuppens, Evangelia Kiakou, Lieke de Zwart, Maurizio Miano, Eduard J. van Beers, Marc Bierings, Marije Bartels   +6 more
wiley   +1 more source

Wheat Yield Prediction Using Machine Learning Method Based on UAV Remote Sensing Data

Drones
Accurate forecasting of crop yields holds paramount importance in guiding decision-making processes related to breeding efforts. Despite significant advancements in crop yield forecasting, existing methods often struggle with integrating diverse sensor ...
Shurong Yang, Lei Li, Shuaipeng Fei, Mengjia Yang, Zhi-qiang Tao, Ya-xiong Meng, Yong-Gui Xiao   +6 more
semanticscholar   +1 more source

Improving grain yield prediction through fusion of multi-temporal spectral features and agronomic trait parameters derived from UAV imagery

Frontiers in Plant Science, 2023
Rapid and accurate prediction of crop yield is particularly important for ensuring national and regional food security and guiding the formulation of agricultural and rural development plans. Due to unmanned aerial vehicles’ ultra-high spatial resolution,
Hongkui Zhou, Jianhua Yang, Weidong Lou, Li Sheng, Dong Li, Hao Hu   +5 more
semanticscholar   +1 more source

Experience With Performing Rheocarna Therapy via the Single‐Needle Method for Treatment of Chronic Limb‐Threatening Ischemia

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi, Rie Tanaka, Reona Kawahira, Shingo Nabeta, Kouhei Naoi, Kazuhito Kitajima, Akira Wada, Tomonari Takagi, Norihiko Ohura, Akira Miyamoto   +9 more
wiley   +1 more source

Maize yield prediction with trait-missing data via bipartite graph neural network

Frontiers in Plant Science
The timely and accurate prediction of maize (Zea mays L.) yields prior to harvest is critical for food security and agricultural policy development.
Kaiyi Wang, Kaiyi Wang, Yanyun Han, Yanyun Han, Yuqing Zhang, Yong Zhang, Shufeng Wang, Shufeng Wang, Feng Yang, Feng Yang, Chunqing Liu, Dongfeng Zhang, Dongfeng Zhang, Tiangang Lu, Like Zhang, Zhongqiang Liu, Zhongqiang Liu   +16 more
doaj   +1 more source