Results 81 to 90 of about 11,293 (258)
Virtual machine placement algorithm based on cuckoo search
A cuckoo search algorithm was introduced for virtual machine placement.Firstly,the virtual machine placement program was mapped to the nest,and according to the level,the fitness would be divided into top and bottom nest.Secondly,the bottom nest and the ...
Donghan JIANG, Haitao LIN
doaj +2 more sources
A patterning algorithm for the dynamic bin packing problem with placement groups
We consider an NP-hard problem of dynamically distributing virtual machines to servers with placement groups. For each virtual machine, parameters such as required number of resources and creation and deletion timestamps are known.
Evgeniy A. Brazhnikov +2 more
doaj +1 more source
Incorporating Ceteris Paribus Preferences in Multiobjective Virtual Machine Placement
Proper handling of preferences in multiobjective evolutionary algorithms is essential for the algorithms' success in real-life applications. While there has been a tremendous work addressing preferences in evolutionary algorithms, the issue of the exact ...
Abdulaziz S. Alashaikh, Eisa A. Alanazi
doaj +1 more source
A Methodology for Task placement and Scheduling Based on Virtual Machines
Task placement and scheduling are traditionally studied in following aspects: resource utilization, application throughput, application execution latency and starvation, and recently, the studies are more on application scalability and application performance.
Xiaojun Chen 0007 +2 more
openaire +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
A soft mechanoluminescent tactile sensor that converts force directly into light is presented, enabling imaging‐based, wiring‐free touch sensing. By integrating a flexible ML‐skin with CMOS readout, the system achieves high sensitivity, fast response, and high spatial resolution, while maintaining structural simplicity and energy efficiency, offering a
Yu Feng +11 more
wiley +1 more source
Electrohydraulic Folding Ring Actuators for Radially Contracting Applications
This work presents an Electrohydraulic Folding Ring Actuator that combines high‐performance electrohydraulic actuation with origami‐inspired folding geometry to achieve constricting radial actuation. This integration yields significant inner lumen constriction, alongside a gripping force capable of holding objects exceeding four times the actuator's ...
Gavril Yong En Tan +4 more
wiley +1 more source
Origami‐Mediated Low‐Voltage Electret Soft Robotic Actuators for Human‐Machine Haptic Interfaces
This work introduces an origami‐mediated soft electret actuator that combines compliant mechanical design and enhanced charge retention for low‐voltage vibrotactile feedback. The device delivers reliable tactile cues, demonstrates durable performance under continuous actuation, and enables intuitive interaction in applications such as tactile ...
Han Chen +8 more
wiley +1 more source
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley +1 more source

