Results 171 to 180 of about 839,741 (290)
Lightweight deep learning models for real-time IoT data analysis in resource-constrained environments. [PDF]
Alanazi F.
europepmc +1 more source
This review explores recent progress in printing strategies such as inkjet, screen, liquid metal, and roll to roll (R2R) methods and their roles in fabricating flexible TFTs. Device architectures are examined with emphasis on printed components and their influence on performance and stability.
Xia Zhao +6 more
wiley +1 more source
Intrusion Detection in the Internet of Things: A Comprehensive Review of Techniques, Architectures, Datasets, and Emerging Trends. [PDF]
Komal A, Li S.
europepmc +1 more source
This review synthesizes 94 studies (2000–2025) exploring edible insects as sustainable sources of peptides, lipids, and chitin. Utilizing “green” extraction, these bioactives offer antioxidant and antimicrobial benefits for functional foods. However, addressing safety concerns like allergenicity and heavy metals through standardized frameworks remains ...
Blessing Rachael Adeyeye +1 more
wiley +1 more source
Hybrid Intrusion Detection System with Real-Time Concept Drift Detection for Enhanced IoT Security. [PDF]
Obaidat MA, Abouali M, Shakeel A.
europepmc +1 more source
Abstract This review evaluates the integrated applications of the Internet of Things (IoT) and blockchain technologies in enhancing food audit systems, authenticity verification, and supply chain traceability, transparency, and data reliability. Following Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guidelines, a systematic review
S. Sriranjani +1 more
wiley +1 more source
A systematic literature review on IoT application layer protocol testing and future research directions. [PDF]
Asgari Araghi M, Khendek F.
europepmc +1 more source
Biosensors enable rapid, sensitive, and portable detection of pathogens, contaminants, allergens, and food adulteration. Integration with smart packaging, smartphones, IoT, and machine learning supports real‐time monitoring and intelligent decision‐making, whereas microfluidics, biodegradable materials, explainable AI, and blockchain offer pathways ...
Mohima Akther Any +7 more
wiley +1 more source
A Review of Adversarial Example Detection in IoT Sensor Networks: Methods, Evaluation, and Edge Deployment Constraints. [PDF]
Xu W, Li J.
europepmc +1 more source
Integrated one‐pot CRISPR‐Cas detection: Addressing strategies and future prospects
Integrated one‐pot CRISPR‐Cas detection significantly simplifies workflows, reduces cross‐contamination risks, and shortens turnaround times, making it highly suitable for point‐of‐care testing (POCT) and resource‐limited settings. Key challenges include system compatibility issues between Cas proteins and isothermal amplification, limited multiplexing
Jian Zhou +6 more
wiley +1 more source

