Artificial intelligence in drug toxicity prediction: recent advances, challenges, and future perspectives

TTV Tran, A Surya Wibowo, H Tayara… - Journal of chemical …, 2023‏ - ACS Publications
Toxicity prediction is a critical step in the drug discovery process that helps identify and
prioritize compounds with the greatest potential for safe and effective use in humans, while …

Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions

AC Ikegwu, HF Nweke, CV Anikwe, UR Alo… - Cluster …, 2022‏ - Springer
The study of big data analytics (BDA) methods for the data-driven industries is gaining
research attention and implementation in today's industrial activities, business intelligence …

Spatiotemporal data mining: a survey on challenges and open problems

A Hamdi, K Shaban, A Erradi, A Mohamed… - Artificial Intelligence …, 2022‏ - Springer
Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay
between space and time. Several available surveys capture STDM advances and report a …

Big data-driven public health policy making: Potential for the healthcare industry

K Chao, MNI Sarker, I Ali, RBR Firdaus, A Azman… - Heliyon, 2023‏ - cell.com
The use of healthcare data analytics is anticipated to play a significant role in future public
health policy formulation. Therefore, this study examines how big data analytics (BDA) may …

MapChain: A blockchain-based verifiable healthcare service management in IoT-based big data ecosystem

U Demirbaga, GS Aujla - IEEE Transactions on Network and …, 2022‏ - ieeexplore.ieee.org
Internet of Things (IoT)-based Healthcare services, which are becoming more widespread
today, continuously generate huge amounts of data which is often called big data. Due to the …

Business environment and adoption of AI: Navigation for internationalization by new ventures in emerging markets

M Moharrak, NP Nguyen… - Thunderbird International …, 2024‏ - Wiley Online Library
This study explores the intersection of international business and artificial intelligence (AI),
focusing on how new ventures navigate environmental challenges for international …

The 51 v's of big data: survey, technologies, characteristics, opportunities, issues and challenges

N Khan, A Naim, MR Hussain, QN Naveed… - Proceedings of the …, 2019‏ - dl.acm.org
Currently Big Data is the biggest buzzword, and definitely, we believe that Big Data is
changing the world. Some researchers say Big Data will be even bigger buzzword than the …

Exploring big data traits and data quality dimensions for big data analytics application using partial least squares structural equation modelling

M Wook, NA Hasbullah, NM Zainudin, ZZA Jabar… - Journal of Big Data, 2021‏ - Springer
The popularity of big data analytics (BDA) has boosted the interest of organisations into
exploiting their large scale data. This technology can become a strategic stimulation for …

IoTSim-Osmosis: A framework for modeling and simulating IoT applications over an edge-cloud continuum

K Alwasel, DN Jha, F Habeeb, U Demirbaga… - Journal of Systems …, 2021‏ - Elsevier
The osmotic computing paradigm sets out the principles and algorithms for simplifying the
deployment of Internet of Things (IoT) applications in integrated edge-cloud environments …

An overview of deep learning in big data, image, and signal processing in the modern digital age

RP França, ACB Monteiro, R Arthur, Y Iano - Trends in deep learning …, 2021‏ - Elsevier
Nowadays, data is generated all the time on the internet. Faced with this scenario,
technologies have emerged to take advantage of this feature, so that in addition to just being …