HSIC bottleneck based distributed deep learning model for load forecasting in smart grid with a comprehensive survey
Load forecasting is a vital part of smart grids for predicting the required electrical power
using artificial intelligence (AI). Deep learning is broadly used for load forecasting in the …
using artificial intelligence (AI). Deep learning is broadly used for load forecasting in the …
The dual effect of digital communication reinforcement drivers on purchase intention in the social commerce environment
The paper draws on the theory of planned behavior (TPB) to investigate the dual effect of
digital communication reinforcement drivers: positive (ie, interactivity, argument quality …
digital communication reinforcement drivers: positive (ie, interactivity, argument quality …
Use of blockchain to prevent distributed denial-of-service (DDoS) attack: a systematic literature review
MR Alam, SI Khan, SBZ Chowa, AH Chowdhury… - Advances in Distributed …, 2023 - Springer
Abstract A Distributed Denial-of-Service (DDoS) assault overwhelms a server, network, or
service with Internet traffic, disrupting regular traffic. As the Internet becomes more …
service with Internet traffic, disrupting regular traffic. As the Internet becomes more …
COVID-19 impact on Facebook-based social commerce in Bangladesh
S Alam, M Rahman - International Journal of Electrical and …, 2022 - papers.ssrn.com
Popular social media Facebook-oriented social commerce (S-commerce), commonly known
as Facebook commerce (F-commerce) has progressed towards a bevy business in …
as Facebook commerce (F-commerce) has progressed towards a bevy business in …
Assessing advertisement quality on C2C social commerce platforms: an information quality approach using text mining
Purpose The purpose of this paper is to test relevance of the information quality (IQ)
framework in understanding quality of advertisements (ads) posted by ordinary consumers …
framework in understanding quality of advertisements (ads) posted by ordinary consumers …
Modelling organ donation information adoption among Malaysian youth using the information adoption model (IAM)
Purpose The shortage of organ donors is an under-researched global issue that demands
immediate attention. This attention should begin at the government level and related …
immediate attention. This attention should begin at the government level and related …
Identifying COVID-19 pandemic stages using machine learning
Although the severity of COVID-19 has decreased in most of the countries, it remains a
threat that the world continues to tackle. Consequently, this paper presents a classification of …
threat that the world continues to tackle. Consequently, this paper presents a classification of …
Beliefs and Attitudes of Consumers At Online Merchants In Predicting Purchase Intention
T Wicaksono, S Syahrani, DS Putra… - At-Tadbir: jurnal …, 2023 - ojs.uniska-bjm.ac.id
Consumer trust in sellers in the marketplace not only affects their trust in others, but also
affects the way consumers make online purchases. This study intends to explain the …
affects the way consumers make online purchases. This study intends to explain the …
[PDF][PDF] Faktor yang mempengaruhi purchase decision konsumen yang menggunakan platform Tokopedia
C Giovani, MP Berlianto - Jurnal Ilmiah Manajemen, Ekonomi …, 2022 - journal.stiemb.ac.id
Dengan teknologi yang semakin berkembang, dapat dilihat pengaruhnya terhadap gaya
hidup masyarakat di seluruh dunia. Dimana pada saat ini salah satu gaya hidup yang paling …
hidup masyarakat di seluruh dunia. Dimana pada saat ini salah satu gaya hidup yang paling …
A Wireless Emergency Alerts System for Warning Disasters by Using Distributed Databases, GPS and Machine Learning Enabled API Services
As most disasters are weather-related, location tracking is crucial during any event, and
early warning systems can save lives. This article outlines the design and execution of a …
early warning systems can save lives. This article outlines the design and execution of a …