Results 91 to 100 of about 21,033 (209)

DrugRep-HeSiaGraph: When heterogenous siamese neural network meets knowledge graphs for drug repurposing [PDF]

BMC Bioinformatics, 2023
Ghorbanali Z, Zare-Mirakabad F, Salehi N, Akbari M, Masoudi-Nejad A.   +4 more
europepmc   +2 more sources

A siamese neural network model for phase identification in distribution networks

International Journal of Electrical Power & Energy Systems
Distribution system operators (DSOs) often lack high-quality data on low-voltage distribution networks (LVDNs), including the topology and the phase connection of residential customers. The phase connection is essential for phase balancing assessment and
Dong Liu, Juan S. Giraldo, Peter Palensky, Pedro P. Vergara   +3 more
doaj   +1 more source

Signature Verification System using Siamese Neural Networks

International Journal of Advanced Research in Science, Communication and Technology
This paper presents an efficient approach to signature verification and forgery detection using Siamese neural networks algorithm. This research involves training classifiers on a diverse dataset of signatures in different persons. Our method employs vectorization and Euclidean distance classifier for signature classification and detection tasks ...
null Dr. K. M. Shivaprasad, null Madan HS, null K. Harshitha, null K. Nitish Kumar   +3 more
openaire   +1 more source

Learning phase transitions by siamese neural network

Physica A: Statistical Mechanics and its Applications
32 pages, 11 figures, 3 ...
Jianmin Shen, Shiyang Chen, Feiyi Liu, Wei Li, Youju Liu   +4 more
openaire   +2 more sources

Ecological and Technological Insights to Enhance Rice Production: A Machine Learning Approach for Sustainable Agriculture in Granma, Cuba

Sustainable Development, EarlyView.
ABSTRACT Amid the quest for sustainable agriculture, this study explores key ecological and technological factors influencing crop production under climate change. We conduct a comprehensive assessment of temperature, biomass, farmer education, renewable energy devices, greenhouse gas emissions and their effects on rice yields in Granma, Cuba, from ...
Afzal Ahmed Dar, Zhi Chen, Sergio RodrIguez‐Rodríguez, Fariborz Haghighat, Chunjiang An, Roberto Alejandro García Reyes, Beatriz González‐Rosales   +6 more
wiley   +1 more source

HPoolGCL: Augmentation‐Free Cross‐Granularity Graph Contrastive Learning With Hierarchical Pooling

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Graph contrastive learning (GCL) has emerged as a dominant paradigm for self‐supervised representation learning for attributed graph data. However, existing GCL methods heavily rely on empirical graph data augmentation, which may distort intrinsic graph semantics and produce poor generalisation without carefully chosen or designed augmentation
Fenglin Cen, Shijie Liu, Quan Feng, Tiantian He, Ji Xu   +4 more
wiley   +1 more source

ReSimNet: drug response similarity prediction using Siamese neural networks

Bioinformatics, 2019
Abstract Motivation Traditional drug discovery approaches identify a target for a disease and find a compound that binds to the target. In this approach, structures of compounds are considered as the most important features because it is assumed that similar structures will bind to the same target ...
Minji, Jeon, Donghyeon, Park, Jinhyuk, Lee, Hwisang, Jeon, Miyoung, Ko, Sunkyu, Kim, Yonghwa, Choi, Aik-Choon, Tan, Jaewoo, Kang   +8 more
openaire   +2 more sources

A Probability‐Aware AI Framework for Reliable Anti‐Jamming Communication

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Adversarial jamming attacks have increased on communication systems, causing distortion and threatening transmissions. Typical attacks rely on traditional, well‐defined cryptographic protocols and frequency‐hopping techniques. Nevertheless, these techniques become vulnerable when facing intelligent jammers.
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley   +1 more source

Explainable Siamese Neural Network for Classifying Pediatric Respiratory Sounds

IEEE Journal of Biomedical and Health Informatics, 2023
The field of medical acoustics is gaining constantly-increasing attention by the scientific community, with the the general goal being the automatic understanding of medical related signals to assist medical personnel in the decision making process. In this direction, this work introduces a framework able to differentiate between normal and abnormal ...
openaire   +2 more sources

Slow Transit Constipation: Pathophysiological Perspectives and Management Updates

Journal of Digestive Diseases, EarlyView.
Slow transit constipation (STC) is a complex neuromuscular disorder driven by interstitial cells of Cajal (ICCs) loss and enteric neuropathy. Diagnosis relies on objective transit testing while excluding pelvic floor dysfunction. Management follows a stepwise, phenotype‐driven approach, progressing from conventional laxatives to emerging targeted ...
Athanasios Syllaios, Stavros P. Papadakos, Alexandros Ioannou, Maximos Frountzas, Dimosthenis Michelakis, Dimitrios Patsouras, Spyridon Dritsas, Manousos‐Georgios Pramateftakis, Dimitrios Schizas   +8 more
wiley   +1 more source