Results 51 to 60 of about 644,441 (293)
Single-objective and multi-objective optimization using the HUMANT algorithm
When facing a real world, optimization problems mainly become multi-objective i.e. they have several criteria of excellence. A multi-criteria problem submitted for multi-criteria evaluation is a complex problem, as usually there is no optimal solution ...
Marko Mladineo +2 more
doaj +1 more source
Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham +7 more
wiley +1 more source
Pareto-Path Multi-Task Multiple Kernel Learning [PDF]
A traditional and intuitively appealing Multi-Task Multiple Kernel Learning (MT-MKL) method is to optimize the sum (thus, the average) of objective functions with (partially) shared kernel function, which allows information sharing amongst tasks.
Anagnostopoulos, Georgios C. +2 more
core +1 more source
Higher Amyloid and Tau Burden Is Associated With Faster Decline on a Digital Cognitive Test
ABSTRACT Objective A 2‐min digital clock‐drawing test (DCTclock) captures more granular features of the clock‐drawing process than the pencil‐and‐paper clock‐drawing test, revealing more subtle deficits at the preclinical stage of Alzheimer's disease (AD). A previous cross‐sectional study demonstrated that worse DCTclock performance was associated with
Jessie Fanglu Fu +16 more
wiley +1 more source
In optimization and decision-making, multi-objective optimization has emerged as a pivotal challenge. Over the past three decades, the concerted efforts of scholars and practitioners across various disciplines have significantly advanced the study and ...
Zitong Wang, Yan Pei, Jianqiang Li
doaj +1 more source
Optimization Route Planning Method Based on Type-2 Fuzzy Sets Reasoning [PDF]
The route planning is a multi-objective optimization problem with constrains.The commonly used optimization algorithm is to transform the multi-objective optimization problem into a single-objective optimization problem by the weighted coefficient method.
SHAO Xiancheng,CAI Chao,WANG Houjun,LI Dongwu
doaj +1 more source
In this work, a novel energy efficient multi-objective resource allocation algorithm for heterogeneous cloud radio access networks (H-CRANs) is proposed where the trade-off between increasing throughput and decreasing operation cost is considered.
Nahid Amani +2 more
doaj +1 more source
Lessons Learned: Quality Analysis of Optical Coherence Tomography in Neuromyelitis Optica
ABSTRACT Introduction Optical coherence tomography (OCT)‐derived retina measurements are markers for neuroaxonal visual pathway status. High‐quality OCT scans are essential for reliable measurements, but their acquisition is particularly challenging in eyes with severe visual impairment, as often observed in neuromyelitis optica spectrum disorders ...
Hadi Salih +40 more
wiley +1 more source
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah +7 more
wiley +1 more source
MOJMA: A novel multi-objective optimization algorithm based Java Macaque Behavior Model
We introduce the Multi-objective Java Macaque Algorithm for tackling complex multi-objective optimization (MOP) problems. Inspired by the natural behavior of Java Macaque monkeys, the algorithm employs a unique selection strategy based on social ...
Dinesh Karunanidy +4 more
doaj +1 more source

