Systematic generation of biophysically detailed models with generalization capability for non-spiking neurons. [PDF]
Unlike spiking neurons which compress continuous inputs into digital signals for transmitting information via action potentials, non-spiking neurons modulate analog signals through graded potential responses.
Loïs Naudin +3 more
doaj +3 more sources
Performance, Accuracy and Generalization Capability of RFID Tags’ Constellation for Indoor Localization [PDF]
Indoor localization has recently witnessed an increase in interest due to its wide range of potential services. Further, the location information is very important in many applications, such as the Internet of Things, logistics, library management and so
Elias Hatem +4 more
doaj +2 more sources
CART-ANOVA-Based Transfer Learning Approach for Seven Distinct Tumor Classification Schemes with Generalization Capability [PDF]
Background/Objectives: Deep transfer learning, leveraging convolutional neural networks (CNNs), has become a pivotal tool for brain tumor detection. However, key challenges include optimizing hyperparameter selection and enhancing the generalization ...
Shiraz Afzal +4 more
doaj +2 more sources
MSRRT-DETR: A high-precision apple detection method with strong cross-domain generalization capability in complex orchard scenes. [PDF]
Accurate fruit detection is a key component of precision agriculture applications such as crop yield estimation, orchard management, and intelligent harvesting.
Xinyu Zhang +9 more
doaj +2 more sources
Facial expression is one form of communication which being non‐verbal in nature precedes verbal communication in both origin and conception. Most of the existing methods for Automatic Facial Expression Recognition (AFER) are mainly focused on global ...
Naveen Kumar H N +3 more
doaj +1 more source
Pu-erh tea processed from the sun-dried green tea leaves can be divided into ancient tea (AT) and terrace tea (TT) according to the source of raw material.
Shao-Rong Zhang +4 more
doaj +1 more source
A spatial evaluation method for earthquake disaster using optimized BP neural network model
Rapid spatial evaluation of seismic disaster after earthquake occurrence is required in disaster emergency rescue management, because of its importance in decreasing casualties and property losses. Among many categories of seismic disaster, evaluation of
Hanxu Zhou +3 more
doaj +1 more source
Automatic Load Model Selection Based on Machine Learning Algorithms
Technology development and decentralized operations create changes in conventional electric systems, where load modeling has been a challenge in dynamic analysis.
S. Hernandez-Pena +2 more
doaj +1 more source
Generators-of-Generators Library with Optimization Capabilities in Fortress [PDF]
A large number of studies have been conducted on parallel skeletons and optimization theorems over skeleton programs to resolve difficulties with parallel programming. However, two nontrivial tasks still remain unresolved when we need nested data structures: The first is composing skeletons to generate and consume them; and the second is applying ...
Kento Emoto +4 more
openaire +1 more source
A new-generation automated warehousing capability [PDF]
A novel and highly adaptable concept is presented whereby automated warehouses can be built based on a series of simple modules with their inherent feature of scalability and reconfigurability. A potential application example of such a warehousing system is modelled to indicate the level of capability that the concept can provide.
Wang, Qian, McIntosh, R., Brain, M.
openaire +2 more sources

