Results 41 to 50 of about 2,657,297 (246)

A Virtual Machine Consolidation Algorithm Based on Ant Colony System and Extreme Learning Machine for Cloud Data Center

IEEE Access, 2020
The energy consumption issue of large-scale data centers is attracting more and more attention. Virtual machine consolidation can significantly reduce energy consumption by migrating virtual machines from one physical machine to another.
Fagui Liu, Zhenjiang Ma, Bin Wang, Weiwei Lin   +3 more
doaj   +1 more source

Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis, and results

, 2022
Real-world engineering design problems are widespread in various research disciplines in both industry and industry. Many optimization algorithms have been employed to address these kinds of problems.
Mirjalili, S, Sumari, P, Elaziz, MA, Gandomi, AH, Abualigah, L, Al-qaness, MAA, Khasawneh, AM, Alshinwan, M, Ibrahim, RA   +8 more
core   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

A two-stage heuristic approach for nurse scheduling problem : a case study in an emergency department [PDF]

, 2014
Nurse scheduling is a critical issue in the management of emergency department. Under the intense work environment, it is imperative to make quality nurse schedules in a most cost and time effective way.
Xu, M., Chin, K. S., Wong, T. C.
core   +4 more sources

A Search-Based Test Data Generation Method for Concurrent Programs

International Journal of Computational Intelligence Systems, 2020
Concurrent programs are being widely adopted in development of multi-core and many-core processors. However, these types of programs present some features such as concurrency, communication and synchronization which make their testing more challenging ...
Seyed Mohsen Mirhosseini, Hassan Haghighi   +1 more
doaj   +1 more source

Hierarchical meta-rules for scalable meta-learning [PDF]

, 2014
The Pairwise Meta-Rules (PMR) method proposed in [18] has been shown to improve the predictive performances of several metalearning algorithms for the algorithm ranking problem.
Quan Sun, Pfahringer, Bernhard, Bernhard Pfahringer, Sun, Quan   +3 more
core   +1 more source

Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction

Advanced Robotics Research, EarlyView.
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith, Sunny Amatya, Seyed Yousef Soltanian, Jonathan Bush, Wenlong Zhang   +4 more
wiley   +1 more source

Continuum Robots in Surgery: From Engineering Design to Clinical Practice

Advanced Robotics Research, EarlyView.
The hyper‐redundant nature of continuum robot structures enables near‐infinite degrees of freedom leading to immense potential for medical applications. This review provides a historical background of continuum robots and novel ideas shaping their progress to current structural design, sensing technology, modeling techniques, and control methods.
Griffin Smith, Kaitlyn Clancy, Siwen Xie, Xiaochen Li, Sarah Khalife, Benjamin van der Woerd, Onaizah Onaizah   +6 more
wiley   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

Application of predator-prey optimization for task scheduling in cloud computing [PDF]

Journal of Mahani Mathematical Research
Cloud computing environments require scheduling to allocate resources efficiently and ensure optimal performance. It is possible to maximize resource utilization and minimize execution time by scheduling cloud systems effectively.
Zahra Jalali Khalil Abadi, Behnam Mohammad Hasani zade, Najme Mansouri, Mohammad Masoud Javidi   +3 more
doaj   +1 more source