Results 211 to 220 of about 1,429,068 (340)
This review highlights advances in soil organic carbon (SOC) quantification using remote sensing, proximal soil sensing, AI (ML and DL), and biogeochemical modelling. Integrating diverse data sources and models improves SOC prediction accuracy. Key priorities include enhancing data availability, refining models, incorporating microbial processes, and ...
Zijuan Ding+16 more
wiley +1 more source
Explainable classification of goat vocalizations using convolutional neural networks. [PDF]
Ntalampiras S, Pesando Gamacchio G.
europepmc +1 more source
DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations
Srinivas S S Kruthiventi+2 more
openalex +2 more sources
A Wearable AI‐Driven Mask with Humidity‐Sensing Respiratory Microphone for Non‐Vocal Communication
A wearable, plug‐and‐play respiratory microphone—featuring a gold nanoparticle‐based humidity sensor—facilitates voice‐free verbal communication for patients with impaired vocal fold function. Abstract Hoarseness and dysphonia caused by vocal cord conditions or laryngeal surgeries significantly hinder communication and quality of life.
Jianfei Wang+8 more
wiley +1 more source
Active and Inactive Tuberculosis Classification Using Convolutional Neural Networks with MLP-Mixer. [PDF]
Rim B, Jang H, Lee H, Jeon W.
europepmc +1 more source
Low frequency ultrasonic voice activity detection using convolutional neural networks [PDF]
Ian McLoughlin, Yan Song
openalex +1 more source
Perovskite Neuromorphic Engine for Transformer Architectures
This paper introduces a perovskite‐based memristive computing unit that performs all necessary operations for Transformer artificial neural networks entirely in the analog domain. The system achieves comparable performance to GPU‐based systems, but with only 1.7% of the energy consumption, boosting power efficiency by 58 times.
Zhenye Zhan+5 more
wiley +1 more source
Detecting ear lesions in slaughtered pigs through open-source convolutional neural networks. [PDF]
D'Angelo M+7 more
europepmc +1 more source
HiCGen introduces a hierarchical deep learning framework to predict genome organization across spatial scales using DNA sequences and genomic features. The model enables cross‐cell‐type predictions and in silico perturbation analysis, revealing correlations between loop domains and higher‐order structures.
Jiachen Wei, Yue Xue, Yi Qin Gao
wiley +1 more source