Results 191 to 200 of about 102,648 (335)

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

Artificial Intelligence for Blue Transformation: A Review of Predictive Modeling and Decision Support Systems in Sustainable Aquaculture

Sustainable Development, EarlyView.
ABSTRACT The FAO's “blue transformation” roadmap necessitates a fundamental shift towards precision aquaculture to meet global food security targets while minimizing environmental footprints. This review provides a comprehensive overview of how artificial intelligence (AI) and decision support systems (DSS) serve as pivotal enablers for the “better ...
Mustafa Öz, Enes Üstüner
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

Epx4 Nanopore With Multiple Constrictions for Single‐Molecule Identification

Small Methods, EarlyView.
Epx4 is a biological multi‐constriction nanopore that generates informative current signals for polypeptide sensing. Compared with α‐hemolysin, Epx4 detects short poly‐L‐lysine (S‐PLL, Mw 10 kDa) at a higher event frequency and produces signal features that distinguish it from long poly‐L‐lysine (L‐PLL, Mw 30–70 kDa), with an ROC AUC of 0.82 for the ...
Ayako Ijuin, Kota Naito, Mana Sato, Virginia Di Toro Mammarella, Nanami Takeuchi, Mauro Chinappi, Yoshikazu Tanaka, Ryuji Kawano   +7 more
wiley   +1 more source

A Performance Comparison of Three Machine Learning Algorithms for Urban Land Cover Classification using High-Resolution Imagery

Covenant Journal of Engineering Technology
Urban land cover classification using high-resolution imagery is important for many applications where detailed and precise urban land cover products are needed.
Abimbola Atijosan, Muibi Kolawole
doaj  

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

Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier. [PDF]

BMC Bioinformatics, 2019
Shen Y, Li Y, Zheng HT, Tang B, Yang M.
europepmc   +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

Feathers and flu: identifying data gaps in avian influenza host dynamics to prioritize wildlife conservation Plumas y gripe: identificación de datos faltantes en la dinámica de hospedadores de la influenza aviar para priorizar la conservación de la vida silvestre

Wildlife Monographs, EarlyView.
We describe the host response continuum for highly pathogenic avian influenza viruses (HPAIV), including the continuum of host responses to HPAIV infection and exposure based on the primary axis of host competence, ability to infect other hosts, and host vulnerability.
Johanna A. Harvey, Matthew Gonnerman, Shenglai Yin, Cody M. Kent, Joshua Cullen, Jeffery D. Sullivan, Jonathan B. Dain, Nichola J. Hill, Diann J. Prosser, Jennifer M. Mullinax   +9 more
wiley   +1 more source

Epileptic Seizure Detection Using Hyperdimensional Computing and Binary Naive Bayes Classifier. [PDF]

Bioengineering (Basel)
Huang X, Meng H, Li Z.
europepmc   +1 more source