An efficient IoT based smart farming system using machine learning algorithms

NG Rezk, EED Hemdan, AF Attia, A El-Sayed… - Multimedia Tools and …, 2021 - Springer
This paper suggests an IoT based smart farming system along with an efficient prediction
method called WPART based on machine learning techniques to predict crop productivity …

Comparison of psychological status and investment style between bitcoin investors and share investors

HJ Kim, JS Hong, HC Hwang, SM Kim… - Frontiers in …, 2020 - frontiersin.org
Bitcoin has unique characteristics that have inspired people to invest in it as well as distinct
drawbacks. With a rapid increase in Bitcoin prices in the short term, more investors …

An Escherichia coli ST131 pangenome atlas reveals population structure and evolution across 4,071 isolates

AG Decano, T Downing - Scientific reports, 2019 - nature.com
Escherichia coli ST131 is a major cause of infection with extensive antimicrobial resistance
(AMR) facilitated by widespread beta-lactam antibiotic use. This drug pressure has driven …

Twitter & bitcoin: are the most influential accounts really influential?

SS Öztürk, ME Bilgiç - Applied Economics Letters, 2022 - Taylor & Francis
There is a vast amount of information flow in social media about bitcoin, which may affect
investors' decisions. This article investigates whether tweets may affect returns or trade …

An efficient IoT based framework for detecting rice disease in smart farming system

NG Rezk, EED Hemdan, AF Attia, A El-Sayed… - Multimedia Tools and …, 2023 - Springer
In recent days, Farmers and agriculture experts face several enduring agricultural
challenges such as early detection of crop diseases like rice leaf diseases. However, severe …

[HTML][HTML] Cross-correlation dynamics and community structures of cryptocurrencies

H Chaudhari, M Crane - Journal of Computational Science, 2020 - Elsevier
Cryptocurrencies have become a prominent investment tool recently with increasing interest
in them and their relationships with stock and foreign exchange markets. We analyze here …

Metin sınıflandırmada yapay sinir ağları ile bitcoin fiyatları ve sosyal medyadaki beklentilerin analizi

C Çılgın, C Ünal, S Alıcı, E Akkol… - Mehmet Akif Ersoy …, 2020 - dergipark.org.tr
Son yıllarda, bloglar, tweet'ler, forumlar, e-postalar gibi Web 2.0 hizmetleri iletişim kanalı
olarak yaygın bir şekilde kullanılmaktadır. Ayrıca sosyal medya; gerek bilgi paylaşımı …

Kripto para birimlerinin twitter verileri ile metin madenciliği kapsamında incelenmesi

NK Torun, A Şengül - Uluslararası Yönetim Bilişim Sistemleri ve …, 2022 - dergipark.org.tr
Günümüzde sosyal medya platformları, kullanıcıların duygu ve düşüncelerini paylaştığı bir
mecra haline gelmiştir. Sosyal medyanın yaygınlaşması nedeniyle, insanlar herhangi bir …

Segmenting Bitcoin Transactions for Price Movement Prediction

Y Zhang, R Garg, LL Golden, PL Brockett… - Journal of Risk and …, 2024 - mdpi.com
Cryptocurrencies like Bitcoin have received substantial attention from financial exchanges.
Unfortunately, arbitrage-based financial market price prediction models are ineffective for …

Machine Learning Approach for Emotion Identification and Classification in Bitcoin Sentiment Analysis

E Kına, E Biçek - Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü …, 2024 - dergipark.org.tr
Bitcoin is the most valuable cryptocurrency and is renowned for its rapid and volatile price
fluctuations in comparison to other currencies. This offers potential for the prediction of …