HSIC bottleneck based distributed deep learning model for load forecasting in smart grid with a comprehensive survey

M Akhtaruzzaman, MK Hasan, SR Kabir… - IEEE …, 2020 - ieeexplore.ieee.org
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 …

The dual effect of digital communication reinforcement drivers on purchase intention in the social commerce environment

KM Selem, MH Shoukat, SA Shah… - Humanities and Social …, 2023 - nature.com
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 …

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 …

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 …

Assessing advertisement quality on C2C social commerce platforms: an information quality approach using text mining

D Trehan, R Sharma - Online Information Review, 2021 - emerald.com
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 …

Modelling organ donation information adoption among Malaysian youth using the information adoption model (IAM)

F Madli, S Sondoh, A Totu, Y Janin… - International Journal of …, 2024 - emerald.com
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 …

Identifying COVID-19 pandemic stages using machine learning

SJ Mitin, MJ Sadeq, U Habiba, RDG Ayon… - Advances in Distributed …, 2023 - Springer
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 …

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 …

[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 …

A Wireless Emergency Alerts System for Warning Disasters by Using Distributed Databases, GPS and Machine Learning Enabled API Services

MA Al Mamun, MTM Shagar, MDK Raisa… - … , Intelligence and Data …, 2023 - Springer
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 …