Results 141 to 150 of about 2,183 (247)

Robust learning for ridge-penalized quasi-GLMs under non-identical distributions. [PDF]

Sci Rep
Zhang H, Tian W, Yao Q, Wang P, Zhang B.
europepmc   +1 more source

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

Sustainable closed-loop supply chain management for a two-warehouse system with trade-credit and emissions constraints under dynamic demand. [PDF]

Sci Rep
Vishnoi M, Deepi D, Singh SR, Sarkar B.
europepmc   +1 more source

A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü, Mingyu Guan, Chenglong He, Chen Chen, Xiangguang Dai, Man‐Fai Leung, Wei Zhang   +6 more
wiley   +1 more source

Age-structured mechanical models for tumor growth. [PDF]

J Math Biol
Levy D, Lim H, Mellet A, Wildes M.
europepmc   +1 more source

Prevalence and associating factors for iatrogenic gliosis-like changes in surgically treated intracranial meningioma patients-A retrospective study of 255 meningioma patients. [PDF]

PLoS One
Laajava J, Niemelä M, Korja M.
europepmc   +1 more source

Sub‐optimal Internet of Thing devices deployment using branch and bound method

IET Networks, EarlyView.
The main contributions of this paper are (1) IoT network deployment problem formation as MILP problem to optimise the transmission among network nodes, and (2) New BB method with a machine learning function to reduce the computational complexity. Abstract The Internet of Thing (IoT) network deployments are widely investigated in 4G and 5G systems and ...
Haesik Kim
wiley   +1 more source

JKO schemes with general transport costs. [PDF]

Calc Var Partial Differ Equ
Rankin C, Wong TL.
europepmc   +1 more source

Flexibility Feasible Region Construction and Operation Optimization for Urban Residential Smart Buildings

IET Smart Energy Systems, EarlyView.
To effectively harness the flexibility of urban residential buildings, this study proposes using the feasible flexibility region (FFR) of residential smart buildings (RSB) as an alternative to directly scheduling a large number of diverse, dispersed, and heterogeneous flexibility resources.
Youjun Deng, Fengji Luo, Yongxi Zhang, Anan Zhang   +3 more
wiley   +1 more source

Weighted Chernoff Information and Optimal Loss Exponent in Context-Sensitive Hypothesis Testing. [PDF]

Entropy (Basel)
Kelbert M, Kalimulina EY.
europepmc   +1 more source