Results 101 to 110 of about 3,621 (255)

DiffNILM: A Novel Framework for Non-Intrusive Load Monitoring Based on the Conditional Diffusion Model. [PDF]

Sensors (Basel), 2023
Sun R, Dong K, Zhao J.
europepmc   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

A Nutritional Paradigm to Impede Cataract Initiation: A Narrative Review of Emerging Perspective on Nutraceuticals

Future Postharvest and Food, EarlyView.
By lowering oxidative stress and lens protein aggregation, nutraceuticals enriched with antioxidants may reduce the development of senile cataracts, demonstrating their potential as supplemental, non‐pharmacological cataract preventive methods. ABSTRACT This review explores the emerging evidence to accommodate the developing requirement of non ...
Moubani Dutta, Sankhajyoti Saha, Agnihiya Bosu   +2 more
wiley   +1 more source

Smart Non-Intrusive Appliance Load-Monitoring System Based on Phase Diagram Analysis

Smart Cities
Much of today’s power grid was designed and built using technologies and organizational principles developed decades ago. The lack of energy resources and classic power networks are the main causes of the development of the smart grid to efficiently use ...
Denis Stanescu, Florin Enache, Florin Popescu   +2 more
doaj   +1 more source

A Comparative Study on the Irrigation Suitability of Kerala's Rivers Using Fuzzy AHP and Conventional Methods

Irrigation and Drainage, EarlyView.
ABSTRACT Food security in Kerala depends on effective irrigation, but poor‐quality irrigation water poses threats such as salinity, sodicity and reduced soil productivity. Although past assessments have been localised, this study presents the first comprehensive, statewide evaluation of irrigation water suitability across 44 major rivers in Kerala.
Raji Karuna, S. K. Pramada, Venkataramana Sridhar   +2 more
wiley   +1 more source

An artificial intelligence‐based non‐intrusive load monitoring of energy consumption in an electrical energy system using a modified K‐Nearest Neighbour algorithm

IET Smart Cities
Energy profligacy and appliance degradation are the apex reasons accounting for the continuous rise in power wastage and high energy bills. The decline in energy conservation and management in residences has been largely attributed to the financial ...
Benjamin Kommey, Elvis Tamakloe, Jerry John Kponyo, Eric Tutu Tchao, Andrew Selasi Agbemenu, Henry Nunoo‐Mensah   +5 more
doaj   +1 more source

Towards Trustworthy Energy Disaggregation: A Review of Challenges, Methods, and Perspectives for Non-Intrusive Load Monitoring. [PDF]

Sensors (Basel), 2022
Kaselimi M, Protopapadakis E, Voulodimos A, Doulamis N, Doulamis A.   +4 more
europepmc   +1 more source

Experimental Assessment of the Effects of Substrate Choice on the Duration of Chemical Signals in Fecal Scent‐Marks of Free‐Ranging Iberian Wolves

Journal of Experimental Zoology Part A: Ecological and Integrative Physiology, EarlyView.
ABSTRACT Chemical communication, typically based on feces, urine, and glandular secretions, often deposited as substrate scent marks, plays a key role in social organization and communication among many mammals, especially carnivores. This study assesses experimentally whether the type of substrate chosen for fecal deposition and the temperature ...
Elisa Espartosa, Jose Martin, Isabel Barja   +2 more
wiley   +1 more source

Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach. [PDF]

PeerJ Comput Sci, 2022
Zhou X, Feng J, Wang J, Pan J.
europepmc   +1 more source

Heat and Cold Waves in Brazil: An ERA5‐Based Analysis of Trends and Seasonality (1980–2024)

International Journal of Climatology, EarlyView.
This study uses ERA5 reanalysis data to assess changes in extreme heat and cold events across Brazil from 1980 to 2024. Results reveal a sharp increase in heatwave frequency and a general decline in coldwave occurrences, though regional variations are substantial.
Alindomar Lacerda Silva, Scott Sheridan
wiley   +1 more source