Demystifying the role of natural language processing (NLP) in smart city applications: background, motivation, recent advances, and future research directions
Smart cities provide an efficient infrastructure for the enhancement of the quality of life of the
people by aiding in fast urbanization and resource management through sustainable and …
people by aiding in fast urbanization and resource management through sustainable and …
Acoustic fish species identification using deep learning and machine learning algorithms: A systematic review
In fishery acoustics, surveys using sensor systems such as sonars and echosounders have
been widely considered to be accurate tools for acquiring fish species data, fish species …
been widely considered to be accurate tools for acquiring fish species data, fish species …
[HTML][HTML] Supervised machine learning models for prediction of COVID-19 infection using epidemiology dataset
Abstract COVID-19 or 2019-nCoV is no longer pandemic but rather endemic, with more than
651,247 people around world having lost their lives after contracting the disease. Currently …
651,247 people around world having lost their lives after contracting the disease. Currently …
Machine learning adoption in blockchain-based smart applications: The challenges, and a way forward
In recent years, the emergence of blockchain technology (BT) has become a unique, most
disruptive, and trending technology. The decentralized database in BT emphasizes data …
disruptive, and trending technology. The decentralized database in BT emphasizes data …
HealthCloud: A system for monitoring health status of heart patients using machine learning and cloud computing
In the context of the global health crisis of 2020, the tendency of many people to self-
diagnose at home virtually, prior to any physical interaction with medical professionals, has …
diagnose at home virtually, prior to any physical interaction with medical professionals, has …
Using artificial intelligence for space challenges: A survey
A Russo, G Lax - Applied Sciences, 2022 - mdpi.com
Artificial intelligence is applied to many fields and contributes to many important applications
and research areas, such as intelligent data processing, natural language processing …
and research areas, such as intelligent data processing, natural language processing …
Quantum-inspired machine learning for 6G: fundamentals, security, resource allocations, challenges, and future research directions
Quantum computing is envisaged as an evolving paradigm for solving computationally
complex optimization problems with a large-number factorization and exhaustive search …
complex optimization problems with a large-number factorization and exhaustive search …
Blockchain systems, technologies, and applications: A methodology perspective
In the past decade, blockchain has shown a promising vision to build trust without any
powerful third party in a secure, decentralized and scalable manner. However, due to the …
powerful third party in a secure, decentralized and scalable manner. However, due to the …
Sentimen Analisis Customer Review Produk Shopee Indonesia Menggunakan Algortima Naïve Bayes Classifier
LO Sihombing, H Hannie… - Edumatic: Jurnal …, 2021 - e-journal.hamzanwadi.ac.id
Gaining customer satisfaction and trust has become the main challenge in achieving
success in the business world. Business people need to identify problems that arise from …
success in the business world. Business people need to identify problems that arise from …
A comprehensive survey of machine learning methodologies with emphasis in water resources management
M Drogkoula, K Kokkinos, N Samaras - Applied Sciences, 2023 - mdpi.com
This paper offers a comprehensive overview of machine learning (ML) methodologies and
algorithms, highlighting their practical applications in the critical domain of water resource …
algorithms, highlighting their practical applications in the critical domain of water resource …