Results 91 to 100 of about 5,654,392 (381)
Abstract Background Acceleration treatment (AT) is a novel treatment planning parameter introduced in the tomotherapy‐dedicated treatment planning system, Precision. This study explores the effects of AT on tomotherapy plans using helical (TomoHelical) and direct (TomoDirect) irradiation techniques.
Ryosuke Shirata+9 more
wiley +1 more source
Using Genetic Algorithm in the Evolutionary Design of Sequential Logic Circuits [PDF]
Evolvable hardware (EHW) is a set of techniques that are based on the idea of combining reconfiguration hardware systems with evolutionary algorithms. In other word, EHW has two sections; the reconfigurable hardware and evolutionary algorithm where the configurations are under the control of an evolutionary algorithm.
arxiv
ABSTRACT Objective Certain frontotemporal lobar degeneration subtypes, including TDP‐A and B, can either occur sporadically or in association with specific genetic mutations. It is uncertain whether syndromic or imaging features previously associated with these patient groups are subtype or genotype specific.
Sean Coulborn+17 more
wiley +1 more source
A novel solution for energy-saving and lifetime-maximizing of LoRa wireless mesh networks
This paper presents an energy-saving and lifetime-maximizing solution for the LoRa wireless mesh network (WMN). Energy dissipation is a crucial factor affecting the usability of the LoRa WMN.
Hoang Hai Son+10 more
doaj +1 more source
Evolutionary Algorithms in Health Technologies
Health technology research brings together complementary interdisciplinary research skills in the development of innovative health technology applications.
Sai Ho Ling, Hak Keung Lam
doaj +1 more source
The Evolutionary Process of Image Transition in Conjunction with Box and Strip Mutation [PDF]
Evolutionary algorithms have been used in many ways to generate digital art. We study how evolutionary processes are used for evolutionary art and present a new approach to the transition of images. Our main idea is to define evolutionary processes for digital image transition, combining different variants of mutation and evolutionary mechanisms.
arxiv
Unleashing the Power of Multiomics: Unraveling the Molecular Landscape of Peripheral Neuropathy
ABSTRACT Peripheral neuropathies (PNs) affect over 20 million individuals in the United States, manifesting as a wide range of sensory, motor, and autonomic nerve symptoms. While various conditions such as diabetes, metabolic disorders, trauma, autoimmune disease, and chemotherapy‐induced neurotoxicity have been linked to PN, approximately one‐third of
Julie Choi+7 more
wiley +1 more source
Medical image segmentation is crucial for deep learning (DL) applications in clinical settings. Ensuring accurate segmentation is challenging due to diverse image sources and significant data sharing and privacy concerns in centralized learning setups ...
Nguyen Tan Y+5 more
doaj +1 more source
Evolutionary Image Transition Based on Theoretical Insights of Random Processes [PDF]
Evolutionary algorithms have been widely studied from a theoretical perspective. In particular, the area of runtime analysis has contributed significantly to a theoretical understanding and provided insights into the working behaviour of these algorithms. We study how these insights into evolutionary processes can be used for evolutionary art.
arxiv
Analyses of evolutionary algorithms
Evolutionäre Algorithmen (EAs) werden in der Praxis sehr erfolgreich eingesetzt. Bisher werden die theoretischen Grundlagen von EAs jedoch nicht zufriedenstellend verstanden. Laufzeitanalysen für einfache EAs sollen dieses Verständnis erweitern.
openaire +3 more sources