Results 151 to 160 of about 2,278,765 (289)

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Intent Arabic text categorisation based on different machine learning and term frequency

IET Networks, EarlyView., 2022
Abstract The complexity of Internet network configurations has made managing networks a complicated undertaking. Intent‐Based Networking (IBN) is a potential solution to this issue. In contrast to conventional networks, where a concrete description of the settings typically conveys a network administrator's goal kept on each device, an administrator's ...
Mohammad Fadhil Mahdi, Mahmoud Shuker Mahmoud   +1 more
wiley   +1 more source

Lacrimal caruncula thermography overestimates rectal temperature in horses: Influence of camera type and measurement distance

Equine Veterinary Journal, EarlyView.
Abstract Background Rectal temperature (RT) is the gold standard for assessing body temperature in horses, but handling and welfare concerns limit its use. Thermography of the lacrimal caruncula (LC) has been proposed as a noncontact alternative, although its accuracy may be influenced by device characteristics and measurement distance.
Ömer Tarık Orhun, Ferda Turgut, Sıtkıcan Okur, Taner Arslan, Latif Emrah Yanmaz   +4 more
wiley   +1 more source

Fatalities within seven days after equine standing sedation: A prospective, multicentre study

Equine Veterinary Journal, EarlyView.
Abstract Background Information regarding mortality associated with standing procedures in horses is sparse. Objectives To report data from >12,000 standing sedations. Study Design Confidential, observational, prospective, multicentre, cohort study.
Miguel Gozalo‐Marcilla, José I. Redondo, Polly M. Taylor, Luis Domenech, Javier Doménech, Gordon Mark Johnston, Regula Bettschart‐Wolfensberger   +6 more
wiley   +1 more source

Intraoperative monitoring and anaesthetic complications in horses: A secondary analysis of the CEPEF4 multicentre cohort

Equine Veterinary Journal, EarlyView.
Abstract Background CEPEF4 provides the most comprehensive contemporary dataset on perianaesthetic risk in horses. Intraoperative complications, monitoring and American Society of Anesthesiologists (ASA)‐stratified associations with death remain incompletely described.
J. I. Redondo, P. M. Taylor, R. Bettschart‐Wolfensberger, G. M. Johnston, L. Domenech, M. Gozalo‐Marcilla   +5 more
wiley   +1 more source

Cross-interface persistent memory for large language model-assisted radiology research workflows: a Claude-based proof-of-concept technical development. [PDF]

Front Radiol
Angarita M, Acosta Buitrago LM, Pérez JM.   +2 more
europepmc   +1 more source

Environmental Control for Edible Fungi Cultivation Based on Temporal Information and Deep Learning

Food Bioengineering, EarlyView.
ABSTRACT Currently, there are still prevalent issues in greenhouse environmental regulation, such as response lag, low control accuracy, and difficulty in coping with sudden environmental disturbances. To achieve high‐precision and dynamic control of the edible fungi cultivation environment, this study proposes an edible fungi environmental control ...
Xiangyan Wang, Shuangcheng Huang, Qingbo Lu, Xinyi Guo   +3 more
wiley   +1 more source

bio.tools: an expanded web service for research software in the life sciences. [PDF]

Nucleic Acids Res
Mendes AIS, Ienasescu H, Andersen CAT, Calhoun E, Chmura PJ, Collier K, Goga I, Gustafsson OJR, Kalaš M, Kierkegaard M, Nielsen NK, Jaaniso E, Jensen JRB, Ludl AA, Ménager H, Palmblad M, Magyar Z, Raček T, Rošinec A, Rusz F, Steeghs-Turchina M, Szmigiel A, Svobodová R, Schwämmle V.   +23 more
europepmc   +1 more source

Grounding and Operationalising the SYNAPSE Model: Design Principles and Observable Indicators for Human‐Centered, AI‐Augmented Learning

Future in Educational Research, EarlyView.
ABSTRACT This article consolidates and operationalises SYNAPSE, a human‐centered model that structures learning in four interrelated phases—Sensory Input, Network Adaptation, Participation, and Storage & Embodiment—for education in the age of artificial intelligence (AI).
Sarah Chardonnens, Srushti Satoskar
wiley   +1 more source

HMMER web server: 2026 update. [PDF]

Nucleic Acids Res
Rajković A, Beracochea M, Rogers AB, Eddy SR, Carter NP, Finn RD.   +5 more
europepmc   +1 more source