Results 121 to 130 of about 47,377 (316)

Improving processes by integrating agile practices

, 2022
S.345-346Even though agile development has been known for many years, it is mainly used in information systems and is not common yet in embedded systems.
Diebold, Philipp
core  

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Pengembangan Aplikasi Stunting Care untuk Pemantauan Pertumbuhan Anak

Warta LPM
Recording the results of conventional child growth measurements in the Maternal and Child Health book has long been carried out by health workers and posyandu cadres at the Bontoharu Community Health Center, Selayar Regency, and posyandu cadres in ...
Calvin Rinaldy Leonard, Ayu Arista, Muhammad Kurnia, Rahmawati, Muhammad Rachmat   +4 more
doaj   +1 more source

COMPETENCE APPROACH IN AGILE TRANSFORMATION OF EDUCATION ESTABLISHMENT

Scientific Journal of Astana IT University, 2021
The subject of the article is development of project, programs and project portfolios management systems with drivers of innovation in Agile transformation of Education Establishment is considered.
S. Bushuyev, S. Murzabekova, M. Khussainova   +2 more
doaj  

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

A Compact, High‐Performance, and Deformation‐Resilient Trielectrode Electrostatic Soft Pump for Soft Robotics

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Existing soft pumps often require tradeoffs between performance and compatibility with soft robotic systems. The proposed trielectrode electrostatic soft pump addresses these limitations through an innovative driving mechanism. Its design, which includes a trielectrode configuration and the use of compliant materials, improves operational efficiency ...
Yangqiao Lin, Xiaoli Yang, Tao Jin, Jieyu Wang, Sicheng Yi, Yue Wang, Songyi Zhong, Tao Yue, Quan Zhang, Yingzhong Tian, Long Li   +10 more
wiley   +1 more source

Factors Affecting Agile Software Project Success

IEEE Access
Uncertainties and changes in software requirements have compelled companies to become more agile in software development projects. To keep pace with the agile environment, companies incorporate agile software development methodologies into their projects.
Burcu Binboga, Cigdem Altin Gumussoy
doaj   +1 more source

Classes of Distributed Agile Development Problems

, 2010
Little is known about problems encountered in distributed Agile development environments. There have been some case studies reporting on them. However, these studies have been mainly limited to the scope and context of only one or a few companies.
Azizyan, Gayane,, Gayane Azizyan, Kajko-Mattsson, Mira,, Magarian, Miganoush Katrin,, Miganoush Katrin Magarian, Mira Kajko-Mattsson   +5 more
core   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Proposta de um modelo para o planejamento ágil do projeto de produtos [PDF]

, 2012
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia Mecânica, Florianópolis, 2009.O mercado de produtos e bens de consumo está se tornando cada vez mais dinâmico e competitivo ...
Schuch, Claudio Gargioni
core