Results 91 to 100 of about 8,911 (282)
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Ain Shams Engineering JournalThe proposed work makes several key contributions. First, a hybrid task scheduling strategy is developed using an Artificial Neural Network combined with a Fuzzy Inference System (ANFIS).
J. Ramaprabha +6 more
doaj +1 more source
Urban Advanced Mobility Dependability: A Model-Based Quantification on Vehicular Ad Hoc Networks with Virtual Machine Migration. [PDF]
Sensors (Basel), 2023 Silva LG +9 more
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
Two Fold Optimization of Precopy Based Virtual Machine Live Migration
, 2016 —Virtualization is widely adopted by the data centers, in order to fulfill the high demand for resources and for their proper utilization. For system management in these virtualized data centers virtual machine live migration acts as a key method.
Sangeeta Sharma, Meenu Chawla
core
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Energy-Aware Dynamic Virtual Machine Consolidation for Cloud Datacenters
IEEE Access, 2018 Resource over provisioning in cloud computing consumes energy excessively. Energy-aware dynamic virtual machine consolidation (DVMC) reduces energy consumption without compromising service level agreement. In this paper, we put forward a new framework of
Hui Wang, Huaglory Tianfield
doaj +1 more source
A Survey of Virtual Machine Migration Techniques in Cloud Computing
, 2015 Cloud computing is an emerging computing technology that maintains computational resources on large data centers and accessed through internet, rather than on local computers.
Vaibhav Pandey, Sandeep Kaur
core
A Network-aware Virtual Machine Placement and Migration Approach in Cloud Computing
, 2010 —Cloud computing represents a major step up in computing whereby shared computation resources are provided on demand. In such a scenario, applications and data thereof can be hosted by various networked virtual machines (VMs). As applications, especially
Jing Tai Piao, Jun Yan
core +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Advanced Intelligent Systems, EarlyView.Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source