Results 181 to 190 of about 101,818 (290)

An Overview of Deep Learning Techniques for Big Data IoT Applications

International Journal of Communication Systems, Volume 39, Issue 4, 10 March 2026.
Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur, Vipin Balyan, Sindhu Hak Gupta   +2 more
wiley   +1 more source

The hidden Markov model and its applications in bioinformatics analysis. [PDF]

Genes Dis
Ma Y, Chen H, Kang J, Guo X, Sun C, Xu J, Tao J, Wei S, Dong Y, Tian H, Lv W, Jia Z, Bi S, Shang Z, Zhang C, Lv H, Jiang Y, Zhang M.   +17 more
europepmc   +1 more source

HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning

Advanced Science, Volume 13, Issue 13, 3 March 2026.
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li, Dong Zhang, Eryu Peng, Shijun Shen, Hamid Alinejad‐Rokny, Yao Liu, Junke Zheng, Cizhong Jiang, Youqiong Ye   +8 more
wiley   +1 more source

A physics-informed neural network approach for estimating population-level pharmacokinetic parameters from aggregated concentration data. [PDF]

J Pharmacokinet Pharmacodyn
Tsiros P, Minadakis V, Sarimveis H.
europepmc   +1 more source

Disentangling the effects of multifunctional forestry practices on the abundances of birds and their invertebrate prey

Ecological Applications, Volume 36, Issue 2, March 2026.
Abstract European forests are increasingly managed to harmonize production goals with biodiversity conservation, through practices such as retention and close‐to‐nature forestry. Forest birds may benefit from these practices, but it remains unclear how the effects of different management practices compare, and whether responses to management are driven
João Manuel Cordeiro Pereira, Sara Klingenfuß, Marco Basile, Julian Frey, Grzegorz Mikusiński, Ilse Storch   +5 more
wiley   +1 more source

Incorporating sparse labels into hidden Markov models using weighted likelihoods improves accuracy and interpretability in biologging studies. [PDF]

PLoS One
Sidrow E, Heckman N, McRae TM, Volpov BL, Trites AW, Fortune SME, Auger-Méthé M.   +6 more
europepmc   +1 more source

Mitogenomic Characterization and Phylogenetic Expansion of Tribe Coccinellini (Coleoptera: Coccinellidae)

Ecology and Evolution, Volume 16, Issue 3, March 2026.
This study presents the complete mitochondrial genomes of nine ladybird species from the tribe Coccinellini and compares them with 58 previously published mitogenomes. Phylogenetic analyses confirm the taxonomic placement of these species within Coccinellini.
Xin‐Yi Li, Zafar Iqbal, Fang Qi, Lin Xiaoling, Xing‐Min Wang, Rui‐E Nie   +5 more
wiley   +1 more source

Connecting the dots: deep learning-based automated model building methods in cryo-EM. [PDF]

Front Mol Biosci
Bansia H, des Georges A.
europepmc   +1 more source

Who needs closure? Estimating abundance with a Markovian availability model for geographically open removal sampling

Ecology, Volume 107, Issue 3, March 2026.
Abstract Removal sampling is an important method for estimating abundance, but nearly all removal models assume closure during sampling. Yet, closure may be difficult to assume, evaluate, or enforce in many settings. To address situations where populations are geographically open between each removal sample, we incorporated a Markovian availability ...
Russell W. Perry, Adam C. Pope, A. Noble Hendrix, Joseph E. Kirsch, Bryan G. Matthias, Michael J. Dodrill   +5 more
wiley   +1 more source

Not Just Ne  Ne-More: New Applications for SMC from Ecology to Phylogenies. [PDF]

Genome Biol Evol
Peede D, Cousins T, Durvasula A, Ignatieva A, Kovacs TGL, Nieto A, Puckett EE, Chevy ET.   +7 more
europepmc   +1 more source