Results 161 to 170 of about 29,875 (266)

polars-bio-fast, scalable, and out-of-core operations on large genomic interval datasets. [PDF]

Bioinformatics
Wiewiórka M, Khamutou P, Zbysiński M, Gambin T.   +3 more
europepmc   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Scanner-agnostic dynamic jaw motion generation from virtual static excursive records using open-source Python-based artificial intelligence (AI) interpolation. [PDF]

J Prosthodont
Omar MS, Yang CC, Morton D, Lin WS.
europepmc   +1 more source

Smart Charging With Hourly Pricing as Policy Intervention: Reducing Costs and Grid Congestion for Promoting Electric Vehicles in Developing Countries

Energy Science &Engineering, EarlyView.
Smart charging with hourly pricing optimizes electric vehicle (EV) charging in developing countries, reducing EV owner costs by 30% and easing grid congestion. Using an agent‐based energy management system, the study shows dynamic pricing effectively shifts charging to off‐peak hours, enhancing grid stability and supporting sustainable EV adoption in ...
Maha Iftikhar, Kashif Imran, Farah Ul Ain, Abdul Kashif Janjua, Rimsha Razaq, Sohail Khan, Arqam Ilyas, Shahbaz Ul Haq, Muhammad Akmal   +8 more
wiley   +1 more source

Hybrid backdoor attacks for deep code models. [PDF]

PLoS One
Geng T.
europepmc   +1 more source

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

Energy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

DoTools: a cross platform framework to streamline common single cell workflows. [PDF]

Bioinform Adv
Ruz Jurado M, Rodriguez Morales D, Zanders L, Genetzakis E, Dimmeler S, John D.   +5 more
europepmc   +1 more source

A Bayesian Analysis of Accidental Dwelling Fire Incidence, Injury, and Fatality in the Greater Manchester Area

Fire and Materials, EarlyView.
ABSTRACT The relationship between accidental dwelling fire incidence and fire injury and fatality was examined using a Bayesian model to estimate the probability of a fire injury or fatality resulting from an accidental dwelling fire incidence under different circumstances of fire incidence (type of accidental dwelling fire, dwelling occupancy type ...
M. Taylor, E. Dean, R. Lyon, V. Kwasnica, D. Reilly, H. Francis   +5 more
wiley   +1 more source

Feedback-integrated prompt optimiser for problem formulation. [PDF]

Sci Rep
Amarasinghe PT, Nguyen S, Sun Y, Alahakoon D.   +3 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