Results 141 to 150 of about 112,986 (284)

Diversity and Quantitative Detection of Clade I Type nosZ Denitrifiers in the Arabian Sea Oxygen Minimum Zone. [PDF]

Microbes Environ, 2023
Bandekar M, Ramaiah N, Seleyi SC, Nazareth DR, Kekäläinen J.   +4 more
europepmc   +1 more source

opXRD: Open Experimental Powder X‐Ray Diffraction Database

Advanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 more
wiley   +1 more source

Biogeographical and Biodiversity Patterns of Marine Planktonic Bacteria Spanning from the South China Sea across the Gulf of Bengal to the Northern Arabian Sea. [PDF]

Microbiol Spectr, 2023
Ren L, Song X, Wu C, Li G, Zhang X, Xia X, Xiang C, Han BP, Jeppesen E, Wu QL.   +9 more
europepmc   +1 more source

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

Advanced Intelligent Discovery, EarlyView.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki, Bassam Bachour Junior, Marcelo Mulato, José Ilton de Oliveira Filho   +3 more
wiley   +1 more source

On the net primary productivity over the Arabian Sea due to the reduction in mineral dust deposition. [PDF]

Sci Rep, 2022
Tandule CR, Gogoi MM, Kotalo RG, Babu SS.   +3 more
europepmc   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

Advanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source

Reducing Interface Energy Loss of Perovskite Solar Cells by Molecular Engineering of Hole‐Transporting Materials

Angewandte Chemie, EarlyView.
This study reports a new hole‐transporting material (WD03) designed via molecular engineering to regulate defect passivation and energy‐level alignment in perovskite solar cells (PSCs). The propeller‐shaped structure ensures balanced charge transport and film quality. Consequently, WD03‐based devices deliver a high open‐circuit voltage of 1.194 V under
Guang Shao, Shang‐Gen Yang, Jian Chen, Dian Wang, Jun‐Jie Zhang, Zu‐Kun Zhou, Jing Xiao, Long Jiang, Zhi‐Zheng Wu, Hiroyuki Kanda, Hua Yang, Zeliang Qiu, Ruiyuan Hu, Xingao Li, Ammar Ahmed Khan, Yi Zhang, Jianxing Xia, Mohammad Khaja Nazeeruddin   +17 more
wiley   +2 more sources

Abrupt upwelling and CO₂ outgassing episodes in the north-eastern Arabian Sea since mid-Holocene. [PDF]

Sci Rep, 2022
Azharuddin S, Govil P, Chalk TB, Shekhar M, Foster GL, Mishra R.   +5 more
europepmc   +1 more source

Seasonal and areal distribution of the pelagic sharks taken by the tuna longline in the Indian Ocean [PDF]

, 1978
The results of analyses of data on the pelagic sharks taken by the Japanese longline fishery in the Indian Ocean during 1972-1975 are presented and discussed.
Honma, Misao, Pillai, P P
core  

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source