Results 121 to 130 of about 15,702 (241)
Tiny Machine Learning and On-Device Inference: A Survey of Applications, Challenges, and Future Directions. [PDF]
Heydari S, Mahmoud QH.
europepmc +1 more source
Baselining Large Language Model Performance in Systems Engineering Using SysEngBench
ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell +3 more
wiley +1 more source
ABSTRACT Microplastics (MPs) have been identified as major environmental contaminants that can affect organisms directly and act as carriers of particles and chemical additives, thereby aggravating endocrine networks that coordinate metabolic homeostasis.
Sunday Amos Onikanni +10 more
wiley +1 more source
Impact of Environmental Microparticles on Insect Olfaction
ABSTRACT Terrestrial insects underpin key ecosystem services, including pollination, herbivory regulation, decomposition, nutrient cycling, and disease control. These functions depend on chemical communication that guides insects to food, mates, hosts, shelters, and oviposition sites while helping them avoid threats.
Steve B. S. Baleba +9 more
wiley +1 more source
Lymphoma is a group of blood cancers that can appear in lymph nodes, blood, bone marrow, spleen, liver, or the central nervous system, which makes drug delivery and disease monitoring difficult. This review summarizes how nanomedicine technologies may improve targeted treatment and imaging, while carefully separating approved or guideline‐supported ...
Mohd Ahmar Rauf +5 more
wiley +1 more source
Spacing effect improves generalization in biological and artificial systems. [PDF]
Sun G +7 more
europepmc +1 more source
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 +3 more
wiley +1 more source
Active machine learning approach to adversarial training improves trade-off between natural accuracy and adversarial robustness. [PDF]
Mirsadeghi SMH.
europepmc +1 more source
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam +9 more
wiley +1 more source
Harmonized Dual Deep Learning Architectures for Image-Based Diagnostics of Skin Neglected Tropical Diseases: Benchmark Study via Novel Funnel Framework. [PDF]
Minyilu Y, Yimer MA, Meshesha M.
europepmc +1 more source

