An efficient IoT based smart farming system using machine learning algorithms
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 …
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 …
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 …
(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 …
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
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 …
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 …
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
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 …
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 …
mecra haline gelmiştir. Sosyal medyanın yaygınlaşması nedeniyle, insanlar herhangi bir …
Segmenting Bitcoin Transactions for Price Movement Prediction
Cryptocurrencies like Bitcoin have received substantial attention from financial exchanges.
Unfortunately, arbitrage-based financial market price prediction models are ineffective for …
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 …
fluctuations in comparison to other currencies. This offers potential for the prediction of …