|
|
|
|
|
Ugur Ercan, Onder Kabas and Georgiana Moiceanu
Alfalfa holds an extremely significant place in animal nutrition when it comes to providing essential nutrients. The leaves of alfalfa specifically boast the highest nutritional value, containing a remarkable 70% of crude protein and an impressive 90% of...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ali Taheri and John Sobanjo
This research utilizes the Long-Term Pavement Performance database, focusing on devel-oping a predictive model for flexible pavement performance in the Southern United States. Analyzing 367 pavement sections, this study investigates crucial factors influ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ahmed M. Elshewey, Mahmoud Y. Shams, Abdelghafar M. Elhady, Samaa M. Shohieb, Abdelaziz A. Abdelhamid, Abdelhameed Ibrahim and Zahraa Tarek
Forecasting is defined as the process of estimating the change in uncertain situations. One of the most vital aspects of many applications is temperature forecasting. Using the Daily Delhi Climate Dataset, we utilize time series forecasting techniques to...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abdallah Abdellatif, Hamza Mubarak, Shameem Ahmad, Tofael Ahmed, G. M. Shafiullah, Ahmad Hammoudeh, Hamdan Abdellatef, M. M. Rahman and Hassan Muwafaq Gheni
Nowadays, photovoltaics (PV) has gained popularity among other renewable energy sources because of its excellent features. However, the instability of the system?s output has become a critical problem due to the high PV penetration into the existing dist...
ver más
|
|
|
|
|
|
|
|
|
|
|
Annwesha Banerjee Majumder, Somsubhra Gupta, Dharmpal Singh, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos and Panagiotis Pintelas
Heart disease is a leading global cause of mortality, demanding early detection for effective and timely medical intervention. In this study, we propose a machine learning-based model for early heart disease prediction. This model is trained on a dataset...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chunru Cheng, Linbing Wang, Xingye Zhou and Xudong Wang
As the main cause of asphalt pavement distress, rutting severely affects pavement safety. Establishing an accurate rutting prediction model is crucial for asphalt pavement maintenance, pavement structure design, and pavement repair. This study explores f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ernest Kwame Ampomah, Zhiguang Qin and Gabriel Nyame
Forecasting the direction and trend of stock price is an important task which helps investors to make prudent financial decisions in the stock market. Investment in the stock market has a big risk associated with it. Minimizing prediction error reduces t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dorin Moldovan
This article introduces a novel nature-inspired algorithm called the Plum Tree Algorithm (PTA), which has the biology of the plum trees as its main source of inspiration. The PTA was tested and validated using 24 benchmark objective functions, and it was...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marian Bucos and Bogdan Dragulescu
Misinformation poses a significant challenge in the digital age, requiring robust methods to detect fake news. This study investigates the effectiveness of using Back Translation (BT) augmentation, specifically transformer-based models, to improve fake n...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lara Ramadan, Isam Shahrour, Hussein Mroueh and Fadi Hage Chehade
Improving the energy efficiency of the building sector has become an increasing concern in the world, given the alarming reports of greenhouse gas emissions. The management of building energy systems is considered an essential means for achieving this go...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hyeong-Tak Lee, Jeong-Seok Lee, Woo-Ju Son and Ik-Soon Cho
Ships are prone to accidents when approaching in a berthing velocity greater than that allowed when determining the risk range corresponding to a port. Therefore, this study develops a machine learning strategy to predict the risk range of an unsafe bert...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nirmal Acharya, Padmaja Kar, Mustafa Ally and Jeffrey Soar
Significant clinical overlap exists between mental health and substance use disorders, especially among women. The purpose of this research is to leverage an AutoML (Automated Machine Learning) interface to predict and distinguish co-occurring mental hea...
ver más
|
|
|
|
|
|
|
|
|
|
|
Muhammad Usman, Mahnoor Ejaz, Janet E. Nichol, Muhammad Shahid Farid, Sawaid Abbas and Muhammad Hassan Khan
Farmland trees are a vital part of the local economy as trees are used by farmers for fuelwood as well as food, fodder, medicines, fibre, and building materials. As a result, mapping tree species is important for ecological, socio-economic, and natural r...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nigang Sun, Yuanyi Zhang and Yining Liu
Cryptocurrencies have the potential to enable socioeconomic growth throughout the world by offering easier access to capital and financial services. However, many virtual asset service providers (VASPs) that offer cryptocurrency services lack identity ma...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sanjiwana Arjasakusuma, Sandiaga Swahyu Kusuma and Stuart Phinn
Machine learning has been employed for various mapping and modeling tasks using input variables from different sources of remote sensing data. For feature selection involving high- spatial and spectral dimensionality data, various methods have been devel...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tian Zhang, Xibin Dong, Huiwen Guan, Yuan Meng, Jiafu Ruan and Zhiyong Wang
Thinning is an important way to adjust and optimize the spatial structure of forests. The study of its impacts support a better understanding of the succession process of secondary forests after interference. To study the changes in forest spatial struct...
ver más
|
|
|
|
|
|
|
|
|
|
|
Satish Kumar, Sameer Sayyad and Arunkumar Bongale
Fused deposition modeling (FDM), a method of additive manufacturing (AM), comprises the extrusion of materials via a nozzle and the subsequent combining of the layers to create 3D-printed objects. FDM is a widely used method for 3D-printing objects since...
ver más
|
|
|
|
|
|
|
|
|
|
|
Januário Leal de Moraes Vieira, Felipe Costa Farias, Alvaro Antonio Villa Ochoa, Frederico Duarte de Menezes, Alexandre Carlos Araújo da Costa, José Ângelo Peixoto da Costa, Gustavo de Novaes Pires Leite, Olga de Castro Vilela, Marrison Gabriel Guedes de Souza and Paula Suemy Arruda Michima
The prognosis of wind turbine failures in real operating conditions is a significant gap in the academic literature and is essential for achieving viable performance parameters for the operation and maintenance of these machines, especially those located...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alejandro Pérez, Claudia N. Sánchez and Jonás Velasco
The Pavement Condition Index (PCI) is a prevalent metric for assessing the condition of rigid pavements. The PCI calculation involves evaluating 19 types of damage. This study aims to analyze how different types of damage impact the PCI calculation and t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Seyed-Ali Sadegh-Zadeh, Arman Dastmard, Leili Montazeri Kafshgarkolaei, Sajad Movahedi, Saeed Shiry Ghidary, Amirreza Najafi and Mozafar Saadat
Superplasticizers (SPs), also known as naturally high-water reducers, are substances used to create high-strength concrete. Due to the system?s complexity, predicting concrete?s compressive strength can be difficult. In this study, a prediction model for...
ver más
|
|
|
|
|
|