Results 131 to 140 of about 73,492 (280)

Exploring the Gut‐Prostate Axis: Microbial Signatures Linked to Prostate Volume and Bladder Function

The Prostate, EarlyView.
ABSTRACT Background Benign prostatic hyperplasia (BPH) is a common urologic condition in aging men, often linked to systemic inflammation and metabolic dysfunction. Emerging evidence suggests that the gut microbiome may contribute to prostate health and disease.
Jonathan Surber, Marie Lork, Yasser Morsy, Michael Scharl, Daniel Stephan Engeler, Janine Langenauer, Lukas John Hefermehl, Anna Ebner, Basil Kaufmann, Manuela Hunziker, Daniel Eberli, Uwe Bieri, Cédric Poyet   +12 more
wiley   +1 more source

From Prediction to Prevention: An Explainable GeoAI Framework for Flood Susceptibility and Urban Exposure Assessment Using Machine and Deep Learning Models

Sustainable Development, EarlyView.
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella, Izni Zahidi, Chow Ming Fai, Chukwuma Okolie, Quoc Bao Pham   +4 more
wiley   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Hierarchical mixtures of naive Bayes classifiers

, 2002
Naive Bayes classifiers tend to perform very well on a large number of problem domains, although their representation power is quite limited compared to more sophisticated machine learning algorithms. In this pa- per we study combining multiple naive Bayes classifiers by using the hierar- chical mixtures of experts system.
openaire   +3 more sources

Naive Bayes Classifier Untuk Deteksi Email Spam

Technologia : Jurnal Ilmiah
Seiring dengan semakin maraknya penggunaan email, masalah spam menjadi semakin serius. Email spam tidak hanya mengganggu produktivitas pengguna, tetapi juga dapat mengandung malware atau phising yang membahayakan. Penelitian ini bertujuan untuk membangun model klasifikasi yang akurat untuk mendeteksi email spam menggunakan algoritma Naive Bayes ...
Mayang Sari, Galih Mahalisa
openaire   +1 more source

High Sensitivity Cardiac Troponin I Detection via MP‐Locked Aptamer and Multimeric DNAzyme‐Coupled Hyperbranched Hybridization Chain Reaction

Small, EarlyView.
We report a magnetic particle anchored locked aptamer platform integrated with hyperbranched HCR and DNAzyme amplification for enzyme‐free, ultrasensitive detection of cardiac troponin I. The assay achieves a 0.25 ng/L detection limit within 25 minutes and enables cross‐species MI detection, with machine learning classification reaching 90% accuracy ...
Sayantan Tripathy, Sahil Sharma, Ng Ka Wai, Siddhant Jaitpal, Anthony Dongchau, Saugat Bhattacharyya, Sonya R. Wesselowski, Ashley B. Saunders, Gerard L. Coté, Samuel B. Mabbott   +9 more
wiley   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Distinct Nasal Microbiome Profiles and Prediction Model for Allergic Rhinitis, Nonallergic Rhinitis, and Healthy Children

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
The alpha and beta diversity of the nasal microbiome differed among children with allergic rhinitis (AR), nonallergic rhinitis (NAR), and healthy controls (HCs). Compared to HC, AR had more Escherichia‐Shigella, Negativicoccus, and Campylobacter, while NAR had more Dolosigranulum and fewer Enterobacteriaceae.
Kantima Kanchanapoomi, Iyarit Thaipisuttikul, Perapon Nitayanon, Witchaya Srisuwatchari, Punchama Pacharn, Nualanong Visitsunthorn, Orathai Jirapongsananuruk   +6 more
wiley   +1 more source

XNB: Explainable Class-Specific NaIve-Bayes Classifier

In today's data-intensive landscape, where high-dimensional datasets are increasingly common, reducing the number of input features is essential to prevent overfitting and improve model accuracy. Despite numerous efforts to tackle dimensionality reduction, most approaches apply a universal set of features across all classes, potentially missing the ...
Aguilar-Ruiz, Jesus S., Romero, Cayetano, Cicconardi, Andrea   +2 more
openaire   +2 more sources

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source