Results 151 to 160 of about 33,606 (255)

Emerging trends in machine learning: Beyond conventional methods and data

, 2018
Recently, new promising theoretical results, techniques, and methodologies have attracted the attention of many researchers and have allowed to broaden the range of applications in which machine learning can be effectively applied in order to extract ...
Anguita D., Oneto L., Donini M., Navarin N.   +3 more
core  

Enhancing Rock Strength Prediction and Features Selection by Coupling Well Log Data and Deep Learning Approaches in Reservoir Geomechanics

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Accurate rock strength parameters play a vital role in petroleum and mining operations for sustainable drilling activities, and wellbore stability analysis. This study investigates the applicability of deep learning techniques for assessing data‐driven models, and to conduct parametric sensitivity examination for feature attributes ranking to ...
Mohammad Islam Miah, Md. Shakil Rahaman, Travis Wiens   +2 more
wiley   +1 more source

RobEns: Robust Ensemble Adversarial Machine Learning Framework for Securing IoT Traffic. [PDF]

Sensors (Basel)
Alkadi S, Al-Ahmadi S, Ben Ismail MM.
europepmc   +1 more source

Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance

Naval Research Logistics (NRL), EarlyView.
ABSTRACT The rapid expansion of cross‐border e‐commerce (CBEC) has created significant opportunities for small‐ and medium‐sized sellers, yet financing remains a critical challenge due to their limited credit histories. Third‐party logistics (3PL)‐led supply chain finance (SCF) has emerged as a promising solution, leveraging in‐transit inventory as ...
Qingkai Zhang, L. Jeff Hong, Houmin Yan
wiley   +1 more source

Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...
Matthew Repasky, He Wang, Yao Xie
wiley   +1 more source

Navigating the Rapids: How Non‐Governmental Organization Managers Develop Strategic Adaptation to Repressive Political Environments

Public Administration and Development, EarlyView.
ABSTRACT This article explores the management adaptation strategies non‐governmental organizations (NGOs) managers employ in order to operate in repressive political environments. It answers the question: how do NGO managers initiate, manage and sustain internal change when the political/regulatory environment changes?
Charles Kaye‐Essien, Shahjahan Bhuiyan, Ghadeer Ali   +2 more
wiley   +1 more source

State Capacity and Path Dependence in Cape Verde's Supreme Audit Institution

Public Administration and Development, EarlyView.
ABSTRACT This study examines state capacity and path dependence in the Supreme Audit Institution (SAI) of Cape Verde, focussing on the performance and governance of the Court of Auditors. Drawing on a mixed‐methods longitudinal design covering the period from 2010 to 2024, the analysis combines international governance indicators, documentary analysis,
Ana Lúcia Romão
wiley   +1 more source

Residual-guided hybrid framework for adversarially robust deep learning-based network intrusion detection. [PDF]

PLoS One
Saha S, Pervaiz MA, Rahman MS, Ahmmed S, Maua J.   +4 more
europepmc   +1 more source

The transformative potential of artificial intelligence in pediatric medicine: Current applications, methodological challenges, and future directions

Pediatric Investigation, EarlyView.
Artificial intelligence (AI) offers transformative potential for paediatric diagnosis and treatment, yet implementation faces unique challenges, including data scarcity, algorithmic bias, and children's developmental physiology. This review examines current applications and charts a path toward transparent, equitable, and trustworthy AI in child health.
Ruisong Wang, Xiaoman Ding, Wanyue Zhang, Tieliu Shi   +3 more
wiley   +1 more source

AI-driven adaptive adversaries and the erosion of cryptographic trust in public key systems. [PDF]

J Anal Sci Technol
Radanliev P.
europepmc   +1 more source