|
|
|
|
|
Nureni Ayofe Azeez and Emad Fadhal
Background: Internet social media platforms have become quite popular, enabling a wide range of online users to stay in touch with their friends and relatives wherever they are at any time. This has led to a significant increase in virtual crime from the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaonan Si, Lei Wang, Wenchang Xu, Biao Wang and Wenbo Cheng
Gout is one of the most painful diseases in the world. Accurate classification of gout is crucial for diagnosis and treatment which can potentially save lives. However, the current methods for classifying gout periods have demonstrated poor performance a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Daniyal Asif, Mairaj Bibi, Muhammad Shoaib Arif and Aiman Mukheimer
Heart disease is a significant global health issue, contributing to high morbidity and mortality rates. Early and accurate heart disease prediction is crucial for effectively preventing and managing the condition. However, this remains a challenging task...
ver más
|
|
|
|
|
|
|
|
|
|
|
Amani Alqarni and Hamoud Aljamaan
Software defect prediction is an active research area. Researchers have proposed many approaches to overcome the imbalanced defect problem and build highly effective machine learning models that are not biased towards the majority class. Generative adver...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fatemeh Gholami, Zahed Rahmati, Alireza Mofidi and Mostafa Abbaszadeh
In recent years, machine learning approaches, in particular graph learning methods, have achieved great results in the field of natural language processing, in particular text classification tasks. However, many of such models have shown limited generali...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fawaz Khaled Alarfaj and Jawad Abbas Khan
The online spread of fake news on various platforms has emerged as a significant concern, posing threats to public opinion, political stability, and the dissemination of reliable information. Researchers have turned to advanced technologies, including ma...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yu Zhan, Huajun Zhang, Jianhao Li and Gen Li
Wave heights are important factors affecting the safety of maritime navigation. This study proposed a stacking ensemble learning method to improve the prediction accuracy of wave heights. We analyzed the correlation between wave heights and other oceanic...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ayad Rodhan Abbas, Bashar Saadoon Mahdi and Osamah Younus Fadhil
Anticancer peptides (ACPs) are short protein sequences; they perform functions like some hormones and enzymes inside the body. The role of any protein or peptide is related to its structure and the sequence of amino acids that make up it. There are 20 ty...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chandrashekar Jatoth, Rishabh Jain, Ugo Fiore and Subrahmanyam Chatharasupalli
Although the blockchain technology is gaining a widespread adoption across multiple sectors, its most popular application is in cryptocurrency. The decentralized and anonymous nature of transactions in a cryptocurrency blockchain has attracted a multitud...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mst. Shapna Akter, Hossain Shahriar, Reaz Chowdhury and M. R. C. Mahdy
Forecasting the risk factor of the financial frontier markets has always been a very challenging task. Unlike an emerging market, a frontier market has a missing parameter named ?volatility?, which indicates the market?s risk and as a result of the absen...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zari Farhadi, Hossein Bevrani, Mohammad-Reza Feizi-Derakhshi, Wonjoon Kim and Muhammad Fazal Ijaz
Nowadays, in the topics related to prediction, in addition to increasing the accuracy of existing algorithms, the reduction of computational time is a challenging issue that has attracted much attention. Since the existing methods may not have enough eff...
ver más
|
|
|
|
|
|
|
|
|
|
|
Serafeim Moustakidis, Athanasios Siouras, Konstantinos Vassis, Ioannis Misiris, Elpiniki Papageorgiou and Dimitrios Tsaopoulos
CrossFit has gained recognition and interest among physically active populations being one of the most popular and rapidly growing exercise regimens worldwide. Due to the intense and repetitive nature of CrossFit, concerns have been raised over the poten...
ver más
|
|
|
|
|
|
|
|
|
|
|
Robyn C. Thompson, Seena Joseph and Timothy T. Adeliyi
The ubiquitous access and exponential growth of information available on social media networks have facilitated the spread of fake news, complicating the task of distinguishing between this and real news. Fake news is a significant social barrier that ha...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yúri Faro Dantas de Sant?Anna, José Elwyslan Maurício de Oliveira and Daniel Oliveira Dantas
The lymphocyte classification problem is usually solved by deep learning approaches based on convolutional neural networks with multiple layers. However, these techniques require specific hardware and long training times. This work proposes a lightweight...
ver más
|
|
|
|
|
|
|
|
|
|
|
Raha Soleymanzadeh, Mustafa Aljasim, Muhammad Waseem Qadeer and Rasha Kashef
Smart devices are used in the era of the Internet of Things (IoT) to provide efficient and reliable access to services. IoT technology can recognize comprehensive information, reliably deliver information, and intelligently process that information. Mode...
ver más
|
|
|
|
|
|
|
|
|
|
|
Manuel Lopez-Martin, Antonio Sanchez-Esguevillas, Luis Hernandez-Callejo, Juan Ignacio Arribas and Belen Carro
This work brings together and applies a large representation of the most novel forecasting techniques, with origins and applications in other fields, to the short-term electric load forecasting problem. We present a comparison study between different cla...
ver más
|
|
|
|
|
|
|
|
|
|
|
Niraj Thapa, Zhipeng Liu, Dukka B. KC, Balakrishna Gokaraju and Kaushik Roy
The development of robust anomaly-based network detection systems, which are preferred over static signal-based network intrusion, is vital for cybersecurity. The development of a flexible and dynamic security system is required to tackle the new attacks...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yasmine Lamari, Bartol Freskura, Anass Abdessamad, Sarah Eichberg and Simon de Bonviller
While the use of crime data has been widely advocated in the literature, its availability is often limited to large urban cities and isolated databases that tend not to allow for spatial comparisons. This paper presents an efficient machine learning fram...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gui-Rong You, Yeou-Ren Shiue, Wei-Chang Yeh, Xi-Li Chen and Chih-Ming Chen
In ensemble learning, accuracy and diversity are the main factors affecting its performance. In previous studies, diversity was regarded only as a regularization term, which does not sufficiently indicate that diversity should implicitly be treated as an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kudakwashe Zvarevashe and Oludayo Olugbara
Automatic recognition of emotion is important for facilitating seamless interactivity between a human being and intelligent robot towards the full realization of a smart society. The methods of signal processing and machine learning are widely applied to...
ver más
|
|
|
|
|
|