Results 151 to 160 of about 96,144 (271)

Privacy-preserving verification of preprocessing in federated learning for genomic data. [PDF]

JAMIA Open
Li W, Halimi A, Vaidya J, Jiang X, Ayday E.   +4 more
europepmc   +1 more source

Advancing mine pillar design: Evaluating traditional methods and integrating AI for enhanced stability of pillars in the Great Dyke, Zimbabwe

Deep Underground Science and Engineering, EarlyView.
B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza, Hendrik Grobler, Peter Apata Olubambi, Moshood Onifade, Manoj Khandelwal   +4 more
wiley   +1 more source

Explainable AI Approaches in Federated Learning: Systematic Review. [PDF]

JMIR AI
Tunduny T, Shibwabo B.
europepmc   +1 more source

Ambivalence in the Context of Competing Narratives: Exploration Through a Case of the US Military Base Issue in Okinawa

European Journal of Social Psychology, EarlyView.
ABSTRACT The current research focused on how competing narratives (i.e., dominant and resistance narratives) are endorsed among low‐status group members, through the case of the US military base issue in Okinawa, Japan. Specifically, we explored patterns of Okinawans’ narrative endorsement (i.e., dominant and resistance narratives surrounding the ...
Maho Aikawa, Andrew L. Stewart
wiley   +1 more source

Bias-Corrected Federated Learning for Video Recommendation over Stochastic Communication Links. [PDF]

Entropy (Basel)
Zhou C, Pei Y, Li Z.
europepmc   +1 more source

Digital Rights Activism in Multilevel Governance

European Policy Analysis, EarlyView.
ABSTRACT Multilevel governance (MLG) without a clear hierarchical structure can create power imbalances among various actors, particularly in settings with overlapping jurisdictions and policy areas. This dynamic is especially pronounced in Internet governance, which faces a complex interplay of domestic laws, state interdependence, and heightened ...
Alison Harcourt
wiley   +1 more source

Trust-Aware and Energy-Efficient Federated Learning for Secure Sensor Networks at the Edge. [PDF]

Sensors (Basel)
Reis MJCS.
europepmc   +1 more source

Unsupervised clustering of electroclinical features in temporal lobe epilepsy: A data‐driven approach

Epileptic Disorders, EarlyView.
Abstract Objective To identify clinically meaningful patterns in ictal electroclinical features of focal epilepsy using a data‐driven, unsupervised learning approach, and to assess whether such patterns can localize and lateralize the epileptogenic zone (EZ) more accurately than conventional electroclinical interpretation.
Maria Vlachou, Bernadett Molnár, Helene Kaas, Jesper Tveit, Harald Aurlien, Martin Ejler Fabricius, Guido Rubboli, Lars Hageman Pinborg, Sándor Beniczky   +8 more
wiley   +1 more source

Federated learning frameworks: quality and interoperability for biomedical research. [PDF]

NAR Genom Bioinform
Chavero-Diez M, Hernandez-Ferrer C, Codó L, Gelpí JL, Capella-Gutiérrez S.   +4 more
europepmc   +1 more source

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +1 more source