Results 101 to 110 of about 1,105 (219)

Internet of Medical Things Enabled Multimodal Framework: Deep Machine Learning for Chronic Cardiac Disease Prediction in Healthcare 5.0. [PDF]

Healthc Technol Lett
Javed R, Abbas T, Sayyed A, Abbas S, Shah AA, Adnan KM.   +5 more
europepmc   +1 more source

Defining Reconciliation Studies: Theoretical and Practical Dimensions

Conflict Resolution Quarterly, EarlyView.
ABSTRACT Reconciliation studies (RS) has become increasingly influential in understanding alternative views to ending conflict and dealing with the aftermath. As a discipline or field, however, it is not well defined. The actual usefulness of reconciliation (as a concept), or of RS (as a discipline), is debated, and due to its growing usage, it is ...
Colleen Alena O’Brien
wiley   +1 more source

Fuzzy weighted natural nearest neighbor based density peak clustering. [PDF]

Sci Rep
Wang M, Chen X, Xie J.
europepmc   +1 more source

Is the EU Sustainable Finance Disclosure Regulation (SFDR) an Opportunity or a Boundary for European Thematic Mutual Funds? A Difference‐in‐Differences Approach

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The EU Sustainable Finance Disclosure Regulation (SFDR) introduces an ESG‐product classification (Article 8 and 9) to harmonize sustainability‐disclosure standards. However, the SFDR does not specify the sustainability practices of these products.
Mercedes Alda
wiley   +1 more source

Establishing correlation between bone mineral apposition rate and physiological loading using machine learning regressor. [PDF]

Sci Rep
Kumar R, Das S, Fernandes D, Goyal A.
europepmc   +1 more source

Heat Load Mitigation Studies in the W7‐X Stellarator Experiment

Contributions to Plasma Physics, EarlyView.
ABSTRACT During the experiments at the stellarator Wendelstein 7‐X (W7‐X) with fully water‐cooled plasma‐facing components (PFC), including carbon‐fiber composite (CFC) divertor targets with a thermal load capability of 10 MW/m2, high performance was achieved.
Dirk Naujoks, Amit Kharwandikar, Jasper Dettmar, Michael Endler, Joris Fellinger, Yu Gao, Joachim Geiger, Marcin Jakubowski, Thomas Sieber, Sebastian Thiede, Christian Voß, W7‐X Team   +11 more
wiley   +1 more source

Hybrid fuzzy machine learning models optimized with meta-heuristics for accurate EEG-based neurological assessment. [PDF]

Sci Rep
Lak M, Jamali J, Adlband N, Taghizadeh M, Mahdiyar O.   +4 more
europepmc   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Analysis and comparison of two selected machine learning algorithms for enhancing wireless sensor network protocols. [PDF]

Sci Rep
Juwaied A, Jackowska-Strumillo L.
europepmc   +1 more source

Se‐Vacancy Engineering Enables Dual Electronic and Interfacial Regulation in SnSe2 Nanocatalysts for High‐Performance Lithium–Sulfur Batteries

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Se vacancies in SnSe2 induce local electron redistribution and create unsaturated Sn sites, enabling a switch from single‐site to dual‐site adsorption of lithium polysulfides. This structure synergistically enhances redox kinetics, accelerates sulfur conversion, suppresses the shuttle effect, reduces polarization, and significantly improves the ...
Xuejie Wang, Bicheng Zhu, Meng Zhang, Chengcheng Yuan, Xinya Lu, Weilai Yu, Tao Liu   +6 more
wiley   +1 more source