Results 161 to 170 of about 26,331 (262)

Application of Intelligent Systems in CO2 Management: State of the Art and Future Prospects

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Machine learning (ML) integration is becoming increasingly popular in advancing the 4th industrial revolution, known as Industry 4.0. This review paper examines ML applications in CO2 management stages: emission, capture, and conversion. ML models, including multiple linear regression (MLR), multiple nonlinear regression (MNLR), and artificial
Muhammad Zulkefal, Iftikhar Ahmad, Asad Habib, Asad Ayub, Hamza Sethi, Ihsanullah Ihsanullah, Hakan Caliskan, Hiki Hong   +7 more
wiley   +1 more source

A Robust Lemuria Framework for efficient crop prediction. [PDF]

Sci Rep
Tamilselvi M, Vishnupriya S, Ushanandhini K, Dhanamathi A.   +3 more
europepmc   +1 more source

Classification of Broadband Oscillations Using Wavelet Convolution and Multi‐Channel Attention Network

Energy Internet, EarlyView.
ABSTRACT Accurate identification of broadband oscillation types is a prerequisite for implementing appropriate control strategies. The strongly nonlinear, nonstationary and multi‐modal characteristics of broadband oscillation signals impose higher demands on identification methods. Practical applications face challenges such as coupling effects between
Jinduo Yang, Ji Li, Yiyan Li, Yang Gao, Qingyuan Zhang, Yang Kou, Xiao Hu, WeiLe Liang   +7 more
wiley   +1 more source

Longitudinal changes in effective connectivity associated with worsening freezing of gait in Parkinson's disease: a resting-state functional MRI study. [PDF]

J Neurol
Taniguchi S, D'Cruz N, Kimura Y, Kakuda K, Ogawa K, Kochiyama T, Kajiyama Y, Shirahata E, Ge L, Asai K, Nieuwboer A, Gilat M, Ikenaka K, Mochizuki H.   +13 more
europepmc   +1 more source

Deep blueprint: A literature review and guide to automated image classification for ecologists

Journal of Animal Ecology, EarlyView.
A practical, literature‐grounded review that gives ecologists a clear, modular workflow for deep learning image classification. With code, GUIs and a novel deep sea case study (automated deep sea biotope classification) it lowers technical barriers and provides a usable blueprint for accelerating, standardising, and scaling ecological image analysis ...
Chloe A. Game, Nils Piechaud, Kerry L. Howell   +2 more
wiley   +1 more source

Anhedonic Traits Do Not Impair Performance in a 3-Arm Bandit Task. [PDF]

Comput Psychiatr
Ramaswamy A, Yamamori Y, Vivekananda U, Litvak V, Roiser JP.   +4 more
europepmc   +1 more source

Cuttings, Combings, Fettlings and Flock: Gender and Australian Wool ‘Waste’, 1900–1950

Gender &History, EarlyView.
ABSTRACT As Australia's wool industry produced vast amounts of fine fleece from the nineteenth century, the wool processing and clothes manufacturing industries generated waste – products like cuttings, combings, fettlings and flock. Salvaged and then sold to waste merchants, these and other materials had a second life.
Lorinda Cramer
wiley   +1 more source

Accommodating Women: Geographies of Citizenship in the Twentieth‐Century Campaign for Women's Jury Rights

Gender &History, EarlyView.
ABSTRACT Australian women were among the first in the world to receive electoral suffrage, yet it took until 1997 before they had full equality of jury suffrage. This article examines the debate around female jurors by focusing less on discourses of citizenship than on the subterranean spatial arrangements upon which equality depended.
Alecia Simmonds
wiley   +1 more source

EPISTEMIC EXTRACTIVISM IN ENGAGED URBAN AND HOUSING RESEARCH: Implications and Counter‐measures

International Journal of Urban and Regional Research, EarlyView.
Abstract What is ‘epistemic extractivism’, and how does it affect researchers who are engaged in urban and housing movements? This essay first explores the contexts of both engaged research and epistemic extractivism, clarifying their meanings and implications. It also disentangles the ethical and methodological risks posed by epistemic extractivism in
Miguel A. Martínez
wiley   +1 more source

Metabolomic analysis for diagnosis of oral squamous cell carcinoma using machine learning. [PDF]

Discov Oncol
Yuan W, Rao J, Han S, Li S, Meng X, Qin L, Huang X.   +6 more
europepmc   +1 more source