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Academic Articles & Research Papers
Showing 20 of 999 academic articles
Volker Pernice, Benjamin Staude, Stefano Cardanobile, Stefan Rotter • PLoS Computational Biology
(2011)
Networks are becoming a ubiquitous metaphor for the understanding of complex biological systems, spanning the range between molecular signalling pathways, neural networks in the brain, and interacting species in a food web. In many models, ...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pcbi.1002059
Costa CFFA, Radford-Smith D, Figueiredo ART, Ribeiro RCM et al. • Translational psychiatry
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1038/s41398-026-04052-z
PMC: PMC13737288
Kai Chen, Pengtao Zhang, Liang You, Jian Sun • Applied Sciences
(2024)
In response to the challenge of single navigation methods failing to meet the high precision requirements for unmanned aerial vehicle (UAV) navigation in complex environments, a novel algorithm that integrates Global Navigation Satellite Sy...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app14135493
Yuchao Feng, Jianwei Zheng, Mengjie Qin, Cong Bai et al. • Remote Sensing
(2021)
Owing to the outstanding feature extraction capability, convolutional neural networks (CNNs) have been widely applied in hyperspectral image (HSI) classification problems and have achieved an impressive performance. However, it is well know...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs13214407
Shiqi Feng, Xuquan Wang, Xiong Dun, Zhanshan Wang et al. • IEEE Photonics Journal
(2025)
Encoded computational hyperspectral cameras, propelled by advances in compressed sensing theory, making both miniaturization and real-time hyperspectral imaging feasible. Spectral-encoded or spatial-encoded hyperspectral imaging strategy ha...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/JPHOT.2025.3624799
Daniel Veltri, Uday Kamath, Amarda Shehu • Bioinformatics
(2018)
Motivation: Bacterial resistance to antibiotics is a growing concern. Antimicrobial peptides (AMPs), natural components of innate immunity, are popular targets for developing new drugs. Machine learning methods are now commonly adopted by w...
OPENALEX
cc-by-nc
DOI: https://doi.org/10.1093/bioinformatics/bty179
PMC: 6084614
Michael Kloster, Andrea M. Burfeid-Castellanos, Daniel Langenkämper, Tim W. Nattkemper et al. • PLoS ONE
(2023)
Diatoms represent one of the morphologically and taxonomically most diverse groups of microscopic eukaryotes. Light microscopy-based taxonomic identification and enumeration of frustules, the silica shells of these microalgae, is broadly us...
DOAJ
Open Access (DOAJ)
• De Gruyter eBooks
(2020)
This book focuses on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it provides an insight of deep neural networks in action with illustrative coding examples. Deep...
OPENALEX
DOI: https://doi.org/10.1515/9783110670905
WANG Ziyi, GUO Shaoyong, CHEN Jiewei, XIAO Yitao et al. • Tongxin xuebao
(2026)
With the rapid growth of AI, data-center energy consumption continues to increase. To balance computing service requirements and renewable-energy fluctuations, a grid carbon-intensity-aware power–computing coordinated scheduling method was ...
DOAJ
Open Access (DOAJ)
Senzhang Wang, Jiannong Cao, Philip S. Yu • IEEE Transactions on Knowledge and Data Engineering
(2020)
With the fast development of various positioning techniques such as Global Position System (GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly available nowadays. Mining valuable knowledge from spatio-temp...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tkde.2020.3025580
Ricardo Hernández Medina, Svetlana Kutuzova, Knud Nor Nielsen, Joachim Johansen et al. • ISME Communications
(2022)
The many microbial communities around us form interactive and dynamic ecosystems called microbiomes. Though concealed from the naked eye, microbiomes govern and influence macroscopic systems including human health, plant resilience, and bio...
OPENALEX
cc-by
DOI: https://doi.org/10.1038/s43705-022-00182-9
PMC: 9723725
Liyan Luo, Liujun Zhang, Mei Wang, Zhenghong Liu et al. • IEEE Access
(2021)
In recent decades, surveillance and home security systems based on video analysis have been proposed for the automatic detection of abnormal situations. Nevertheless, in several real applications, it may be easier to detect a given event fr...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3123970
Yuying Zhang, Fei Xu, Yi Yang • Applied Sciences
(2025)
In recent years, gaze estimation has received a lot of interest in areas including human–computer interface, virtual reality, and user engagement analysis. Despite significant advances in convolutional neural network (CNN) techniques, direc...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app152312475
Zhang M, Liu X, Ruan L, Pei X et al. • The Journal of international medical research
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1177/03000605261490822
PMC: PMC13735677
XIAO Zhipeng, HE Shufeng, TIAN Chunqi • Jisuanji gongcheng
(2025)
This study presents a facial emotion recognition network based on UniRepLKNet to address the difficulty in effectively capturing feature information and preventing key facial information from occupying a more prominent position in the facia...
DOAJ
Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0069761
Ziwei Zhang, Peng Cui, Wenwu Zhu • IEEE Transactions on Knowledge and Data Engineering
(2020)
Deep learning has been shown to be successful in a number of domains, ranging from acoustics, images, to natural language processing. However, applying deep learning to the ubiquitous graph data is non-trivial because of the unique characte...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tkde.2020.2981333
Kaixuan Sun, Qi Yao, Yanhui Li • PLoS ONE
(2025)
The volatility of agricultural commodity prices significantly affects market stability and financial market dynamics, especially during periods of economic uncertainty and global shocks. Accurate price prediction, however, remains challengi...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0337103
Jianqing Fan, Cong Ma, Yiqiao Zhong • Statistical Science
(2021)
Deep learning has achieved tremendous success in recent years. In simple words, deep learning uses the composition of many nonlinear functions to model the complex dependency between input features and labels. While neural networks have a l...
OPENALEX
Open Access
DOI: https://doi.org/10.1214/20-sts783
PMC: 8300482
Junzhe Hu, Chuanwen Luo, Yi Hong, Guopeng Wang et al. • Wireless Power Transfer
(2025)
Recently, the Internet of Things (IoT) has played an important role in many fields. Nevertheless, the fast and uneven energy consumption of IoT Devices (IoTDs) significantly limits the lifetime of IoT networks. One of the effective solution...
DOAJ
Open Access (DOAJ)
DOI: 10.48130/wpt-0025-0004
Christopher D. Manning • Computational Linguistics
(2015)
Deep Learning waves have lapped at the shores of computational linguistics for several years now, but 2015 seems like the year when the full force of the tsunami hit the major Natural Language Processing (NLP) conferences. However, some pun...
OPENALEX
Open Access
DOI: https://doi.org/10.1162/coli_a_00239