Results 111 to 120 of about 17,207,076 (361)
Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning
Remote Sensing, 2020 Non-destructive crop monitoring over large areas with high efficiency is of great significance in precision agriculture and plant phenotyping, as well as decision making with regards to grain policy and food security.
Maitiniyazi Maimaitijiang +5 more
doaj +1 more source
Discontinuities in recurrent neural networks [PDF]
, 1997 This paper studies the computational power of various discontinuous real computational models that are based on the classical analog recurrent neural network (ARNN).
Gavaldà Mestre, Ricard +1 more
core +1 more source
Improved Convolutional Neural Network Based on Fast Exponentially Linear Unit Activation Function
IEEE Access, 2019 The activation functions play increasingly important roles in deep convolutional neural networks. The traditional activation functions have some problems such as gradient disappearance, neuron death and output offset, and so on.
Qiumei Zheng, Tan Dan, Fenghua Wang
semanticscholar +1 more source
Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
FEBS Letters, EarlyView.This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes +3 more
wiley +1 more source
Effective Activation Functions for Homomorphic Evaluation of Deep Neural Networks
IEEE Access, 2020 CryptoNets and subsequent work have demonstrated the capability of homomorphic encryption (HE) in the applications of private artificial intelligence (AI).
Srinath Obla +4 more
doaj +1 more source
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks [PDF]
, 2015 Catastrophic forgetting is a problem faced by many machine learning models and algorithms. When trained on one task, then trained on a second task, many machine learning models "forget" how to perform the first task.
Bengio, Yoshua +4 more
core
FEBS Letters, EarlyView.Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang +5 more
wiley +1 more source
Extreme Learning Machine With Affine Transformation Inputs in an Activation Function
IEEE Transactions on Neural Networks and Learning Systems, 2019 The extreme learning machine (ELM) has attracted much attention over the past decade due to its fast learning speed and convincing generalization performance.
Jiuwen Cao +5 more
semanticscholar +1 more source
The Caenorhabditis elegans DPF‐3 and human DPP4 have tripeptidyl peptidase activity
FEBS Letters, EarlyView.The dipeptidyl peptidase IV (DPPIV) family comprises serine proteases classically defined by their ability to remove dipeptides from the N‐termini of substrates, a feature that gave the family its name. Here, we report the discovery of a previously unrecognized tripeptidyl peptidase activity in DPPIV family members from two different species.
Aditya Trivedi, Rajani Kanth Gudipati
wiley +1 more source
Remote Sensing, 2019 Reliable assessment of grapevine productivity is a destructive and time-consuming process. In addition, the mixed effects of grapevine water status and scion-rootstock interactions on grapevine productivity are not always linear.
Matthew Maimaitiyiming +3 more
doaj +1 more source