Results 41 to 50 of about 2,043,262 (319)
Applied Sciences, 2020 The convolutional neural network (CNN) has been widely used in image recognition field due to its good performance. This paper proposes a facial expression recognition method based on the CNN model. Regarding the complexity of the hierarchic structure of
Yingying Wang +3 more
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Frontiers in Plant Science, 2023 The impact of climate change has been alarming for the crop growth. The extreme weather conditions can stress the crops and reduce the yield of major crops belonging to Poaceae family too, that sustains 50% of the world’s food calorie and 20% of protein ...
Bulbul Ahmed +7 more
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FEBS Letters, EarlyView.Interaction extracellular vesicles (iEVs) are hybrid vesicles formed through host‐pathogen communication. They facilitate immune evasion, transfer pathogens' molecules, increase host cell uptake, and enhance virulence. This Perspective article illustrates the multifunctional roles of iEVs and highlights their emerging relevance in infection dynamics ...
Bruna Sabatke +2 more
wiley +1 more source
Study on Prediction of Similar Typhoons through Neural Network Optimization [PDF]
한국해양공학회지, 2019 Artificial intelligence (AI)-aided research currently enjoys active use in a wide array of fields thanks to the rapid development of computing capability and the use of Big Data.
Yeon-Joong Kim +3 more
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Learning Bilateral Clipping Parametric Activation for Low-Bit Neural Networks
Mathematics, 2023 Among various network compression methods, network quantization has developed rapidly due to its superior compression performance. However, trivial activation quantization schemes limit the compression performance of network quantization.
Yunlong Ding, Di-Rong Chen
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Decoding the dual role of autophagy in cancer through transcriptional and epigenetic regulation
FEBS Letters, EarlyView.Transcriptional and epigenetic regulation controls autophagy, which exerts context‐dependent effects on cancer: Autophagy suppresses tumorigenesis by maintaining cellular homeostasis or promotes tumor progression by supporting survival under stress. In this “In a Nutshell” article, we explore the intricate mechanisms of the dual function of autophagy ...
Young Suk Yu, Ik Soo Kim, Sung Hee Baek
wiley +1 more source
IEEE Access, 2020 Aiming at predicting the key economic and technical indicators (Granularity and Ore content)in the grinding production process, the extreme learning machine (ELM) soft-sensor model with different activation functions on grinding process optimized by ...
W. Xie +5 more
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Deep-Learning Software Reliability Model Using SRGM as Activation Function
Applied Sciences, 2023 Software is widely used in various fields. There is no place where it is not used from the smallest part to the entire part. In particular, the tendency to rely on software is accelerating as the fields of artificial intelligence and big data become more
Youn Su Kim, Hoang Pham, In Hong Chang
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Autophagy in cancer and protein conformational disorders
FEBS Letters, EarlyView.Autophagy plays a crucial role in numerous biological processes, including protein and organelle quality control, development, immunity, and metabolism. Hence, dysregulation or mutations in autophagy‐related genes have been implicated in a wide range of human diseases.
Sergio Attanasio
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Learning Combinations of Activation Functions [PDF]
2018 24th International Conference on Pattern Recognition (ICPR), 2018 In the last decade, an active area of research has been devoted to design novel activation functions that are able to help deep neural networks to converge, obtaining better performance. The training procedure of these architectures usually involves optimization of the weights of their layers only, while non-linearities are generally pre-specified and ...
Alessandro Rozza, Franco Manessi
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