Results 71 to 80 of about 12,415 (258)

Machine Learning‐Driven Prediction and Optimization of Cu‐Based Catalysts for CO2 Hydrogenation to Methanol

Carbon and Hydrogen, EarlyView.
A machine‐learning framework integrating multimodel prediction, feature selection, and SHAP interpretability is developed to uncover structure–performance relationships of Cu‐based CO2‐to‐methanol catalysts. The optimized XGBoost model and an online prediction platform enable accurate selectivity prediction and data‐driven catalyst design.
Conglong Su, Zhangkai Jing, Qiuming Zhou, Yuan Zhu, Sishi Ye, Tianye Wang, Kuo Chen, Xuebin Luan, Zhigang Tang, Run Xu, Chaopeng Hou, Hongwei Li   +11 more
wiley   +1 more source

Toward Secure Electronic Voting: A Survey on E-Voting Systems and Attacks

IEEE Access
The trend of electronic voting has risen in recent years as an alternative to paper ballot elections, bringing meaningful benefits in terms of efficiency and error proneness.
Riccardo Barelli, Mario D'Onghia, Stefano Longari   +2 more
doaj   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Blockchain-Based E-Voting Mechanisms: A Survey and a Proposal

Network
Advancements in blockchain technology and network technology are bringing in a new era in electronic voting systems. These systems are characterized by enhanced security, efficiency, and accessibility.
Matthew Sharp, Laurent Njilla, Chin-Tser Huang, Tieming Geng   +3 more
doaj   +1 more source

Framing Modern Slavery: Do Stakeholders Talk Past Each Other?

Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration, EarlyView.
ABSTRACT Modern slavery literature has thus far mostly adopted a downstream perspective, in the sense that researchers investigated corporate actors' responses after the enactment of transparency legislation. The common finding is that corporate disclosure is poor and ineffective, contributing to a failure to eradicate modern slavery.
Sylvain Durocher, Darlene Himick, Leigh Ellen Walsh   +2 more
wiley   +1 more source

Does Internet voting make elections less social? Group voting patterns in Estonian e-voting log files (2013-2015).

PLoS ONE, 2017
Remote Internet voting places the control and secrecy of the immediate voting environment on the shoulder of the individual voter but it also turns voting into yet another on-line activity thus endangering the well-known social nature of voting and ...
Taavi Unt, Mihkel Solvak, Kristjan Vassil   +2 more
doaj   +1 more source

EventFlow: Real‐time neuromorphic event‐driven classification of two‐phase boiling flow regimes

Droplet, EarlyView.
We present a real‐time flow regime classification framework that integrates neuromorphic event‐driven sensing with deep recurrent neural networks. Unlike traditional frame‐based approaches, our system captures sparse event streams from an event‐based camera, representing only the dynamic brightness changes at the individual pixel level.
Sanghyeon Chang, Srikar Arani, Nishant Sai Nuthalapati, Youngjoon Suh, Nicholas Choi, Siavash Khodakarami, Md Rakibul Hasan Roni, Nenad Miljkovic, Aparna Chandramowlishwaran, Yoonjin Won   +9 more
wiley   +1 more source

Meta-analysis of blockchain-powered electronic voting systems [PDF]

MATEC Web of Conferences
Electronic voting systems are increasingly becoming popular globally for political and non-political purposes. The three key constraints for lack of trust in e-voting systems are security, transparency, and voter privacy.
Manda Vijaya Kittu, Bhukya Madhu
doaj   +1 more source

Bioinspired Crossmodal Tactile Sensory Nerve for High‐Accurate Object Recognition

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
An artificial crossmodal sensory neuron system (ACSNS) that combines a complementary memristor with high‐sensitivity pressure–temperature bimodal sensors, which integrate tactile perception, information storage, and neuromorphic computing. With the aid of machine learning, this ACSNS presents an improved accuracy of 96.67% in recognizing temperatures ...
Delu Chen, Yuetong Han, Xiaodong Wang, Wanli Cheng, Jianjie He, Xing Li, Yoshifumi Oshima, Chongxin Shan, Shaobo Cheng   +8 more
wiley   +1 more source

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source