Results 71 to 80 of about 61,508 (265)

Local Cyber-Physical Attack for Masking Line Outage and Topology Attack in Smart Grid

, 2018
Malicious attacks in the power system can eventually result in a large-scale cascade failure if not attended on time. These attacks, which are traditionally classified into \emph{physical} and \emph{cyber attacks}, can be avoided by using the latest and ...
Chung, Hwei-Ming, Chung, Wei-Ho, Li, Wen-Tai, Wen, Chao-Kai, Yuen, Chau, Zhang, Yan   +5 more
core   +1 more source

The Evolution of Impression Management Research in Social Media: A Bibliometric Perspective

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The purpose of the present study is to investigate impression management (IM) usage by companies in the context of social media communication and emerging technologies through a comprehensive mapping of the scientific literature. In this matter, a bibliometric analysis has been conducted, extracting a sample of 262 peer‐reviewed journal ...
Antonio Iazzi, Amedeo Maizza, Simona Lamusta, Simone Pizzi   +3 more
wiley   +1 more source

Optimized hybrid CNN-LSTM-GRU model for cyber attack detection using Adaptive Equilibrium Optimization

ICT Express
Modern network security has a great difficulty in cyber attack detection. In this context, this work presents an CNN-LSTM-GRU Model for cyber attack detection.
Brij B. Gupta, Shin-Hung Pan, Akshat Gaurav, Varsha Arya, Wadee Alhalabi, Kwok Tai Chui   +5 more
doaj   +1 more source

The Relationship Between Premorbid Weight Status and Eating Disorder Onset in Adolescents: A Longitudinal Study

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Adolescents with higher weight status (HWS; body mass index > 85th percentile adjusted for age and sex) are at greater risk of eating disorders (ED). This study examined factors associated with HWS adolescents' increased risk and how weight status interacts with other risk factors to influence ED onset. Method Australian adolescents (
Gabriela Tavella, Kris Rogers, Kay Bussey, Phillipa Hay, Nora Trompeter, Deborah Mitchison   +5 more
wiley   +1 more source

Cloaking the Clock: Emulating Clock Skew in Controller Area Networks

, 2018
Automobiles are equipped with Electronic Control Units (ECU) that communicate via in-vehicle network protocol standards such as Controller Area Network (CAN).
Bushnell, Linda, Clark, Andrew, Poovendran, Radha, Sagong, Sang Uk, Ying, Xuhang   +4 more
core   +1 more source

Cyber-Attacks Detection Using Novel IDDMS Framework [PDF]

, 2020
Security of a data system is a significant property, particularly today when PCs are interconnected by means of the internet. Since no system can be totally secure, the opportune and precise detection of intrusions is essential. Cyber security is the region that manages shielding from cyber terrorism.
Bhivsen, Gadekar Ganesh, N P G, Udayabhanu, Jalindar, Dange Bapusaheb, K, Vengatesan, Kumar, Abhishek   +4 more
openaire   +1 more source

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction

Energy Science &Engineering, EarlyView.
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga, Subhasish Deb, Kshetrimayum Robert Singh, Subir Datta, Ahmet Onen, Taha Selim Ustun, Jaesung Jung   +6 more
wiley   +1 more source

Using Deep Learning Conditional Value‐at‐Risk Based Utility Function in Cryptocurrency Portfolio Optimisation

International Journal of Finance &Economics, EarlyView.
ABSTRACT One of the critical risks associated with cryptocurrency assets is the so‐called downside risk, or tail risk. Conditional Value‐at‐Risk (CVaR) is a measure of tail risks that is not normally considered in the construction of a cryptocurrency portfolio.
Xinran Huang, Linzhi Tan, Haozhe Su, Jeremy Eng‐Tuck Cheah   +3 more
wiley   +1 more source