How solar radiation forecasting impacts the utilization of solar energy: A critical review

N Krishnan, KR Kumar, CS Inda - Journal of Cleaner Production, 2023 - Elsevier
The demand for energy generation from solar energy resource has been exponentially
increasing in recent years. It is integral for a grid operator to maintain the balance between …

Maize leaf disease detection and classification using machine learning algorithms

KP Panigrahi, H Das, AK Sahoo… - Progress in Computing …, 2020 - Springer
Plant diseases are the major cause of low agricultural productivity. Mostly the farmers
encounter difficulties in controlling and detecting the plant diseases. Thus, early detection of …

Can machine learning assist locating the excitation of snore sound? A review

K Qian, C Janott, M Schmitt, Z Zhang… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
In the past three decades, snoring (affecting more than 30% adults of the UK population) has
been increasingly studied in the transdisciplinary research community involving medicine …

[HTML][HTML] XAI framework for cardiovascular disease prediction using classification techniques

P Guleria, P Naga Srinivasu, S Ahmed, N Almusallam… - Electronics, 2022 - mdpi.com
Machine intelligence models are robust in classifying the datasets for data analytics and for
predicting the insights that would assist in making clinical decisions. The models would …

A novel approach for code smell detection: an empirical study

S Dewangan, RS Rao, A Mishra, M Gupta - IEEE Access, 2021 - ieeexplore.ieee.org
Code smells detection helps in improving understandability and maintainability of software
while reducing the chances of system failure. In this study, six machine learning algorithms …

Decision trees for mining data streams based on the gaussian approximation

L Rutkowski, M Jaworski, L Pietruczuk… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Since the Hoeffding tree algorithm was proposed in the literature, decision trees became
one of the most popular tools for mining data streams. The key point of constructing the …

[HTML][HTML] Migraine with aura detection and subtype classification using machine learning algorithms and morphometric magnetic resonance imaging data

K Mitrović, I Petrušić, A Radojičić, M Daković… - Frontiers in …, 2023 - frontiersin.org
Introduction Migraine with aura (MwA) is a neurological condition manifested in moderate to
severe headaches associated with transient visual and somatosensory symptoms, as well …

Comprehensive and comparative global and local feature extraction framework for lung cancer detection using CT scan images

MA Alzubaidi, M Otoom, H Jaradat - IEEE Access, 2021 - ieeexplore.ieee.org
Lung cancer is reported to be the second most common cancer disease. This paper
proposes a comprehensive and comparative global and local feature extraction framework …

Airplane flight phase identification using maximum posterior probability method

N Kuzmenko, I Ostroumov… - 2022 IEEE 3rd …, 2022 - ieeexplore.ieee.org
The flight of a civil airplane is supported by many different systems. However, during the
flight pilots require different navigation and surveillance data to perform airplane guidance …

[HTML][HTML] A novel anomaly detection approach to identify intentional AIS on-off switching

F Mazzarella, M Vespe, A Alessandrini, D Tarchi… - Expert Systems with …, 2017 - Elsevier
Abstract The Automatic Identification System (AIS) is a ship reporting system based on
messages broadcast by vessels carrying an AIS transponder. The recent increase of …