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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...
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Uyanga Dorjsembe, Ju Hong Lee, Bumghi Choi and Jae Won Song
Deep neural networks have achieved almost human-level results in various tasks and have become popular in the broad artificial intelligence domains. Uncertainty estimation is an on-demand task caused by the black-box point estimation behavior of deep lea...
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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...
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Thien Khai Tran and Tuoi Thi Phan
Sentiment analysis is an active research area in natural language processing. The task aims at identifying, extracting, and classifying sentiments from user texts in post blogs, product reviews, or social networks. In this paper, the ensemble learning mo...
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Ognjen Radovic,Srdan Marinkovic,Jelena Radojicic
Credit scoring attracts special attention of financial institutions. In recent years, deep learning methods have been particularly interesting. In this paper, we compare the performance of ensemble deep learning methods based on decision trees with the b...
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Sarfaraz Natha, Umme Laila, Ibrahim Ahmed Gashim, Khalid Mahboob, Muhammad Noman Saeed and Khaled Mohammed Noaman
Brain tumors (BT) represent a severe and potentially life-threatening cancer. Failing to promptly diagnose these tumors can significantly shorten a person?s life. Therefore, early and accurate detection of brain tumors is essential, allowing for appropri...
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Yuxiu Liu, Xing Yuan, Yang Jiao, Peng Ji, Chaoqun Li and Xindai An
Integrating numerical weather forecasts that provide ensemble precipitation forecasts, land surface hydrological modeling that resolves surface and subsurface hydrological processes, and artificial intelligence techniques that correct the forecast bias, ...
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Zubin Mishra, Ziyuan Wang, SriniVas R. Sadda and Zhihong Hu
This study shows promising results for the development of artificial intelligence tools for the predicting of the progression of Stargardt disease. It further offers the possibility of differentiating patients with Stargardt disease based on predicted pr...
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Ammar Odeh and Anas Abu Taleb
Cybersecurity finds widespread applications across diverse domains, encompassing intelligent industrial systems, residential environments, personal gadgets, and automobiles. This has spurred groundbreaking advancements while concurrently posing persisten...
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Jin-A Lee and Keun-Chang Kwak
Analyzing the condition and function of the heart is very important because cardiovascular diseases (CVDs) are responsible for high mortality rates worldwide and can lead to strokes and heart attacks; thus, early diagnosis and treatment are important. Ph...
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Mattia D?Angelo and Loris Nanni
Object classification is a crucial task in deep learning, which involves the identification and categorization of objects in images or videos. Although humans can easily recognize common objects, such as cars, animals, or plants, performing this task on ...
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Musab T. S. Al-Kaltakchi, Ahmad Saeed Mohammad and Wai Lok Woo
Speech separation is a well-known problem, especially when there is only one sound mixture available. Estimating the Ideal Binary Mask (IBM) is one solution to this problem. Recent research has focused on the supervised classification approach. The chall...
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Sriniketan Sridhar, Anibal Romney and Vidya Manian
Mild Cognitive Impairment (MCI) and Alzheimer?s Disease (AD) are frequently associated with working memory (WM) dysfunction, which is also observed in various neural psychiatric disorders, including depression, schizophrenia, and ADHD. Early detection of...
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Nikolaos Giakoumoglou, Eleftheria-Maria Pechlivani, Nikolaos Frangakis and Dimitrios Tzovaras
Early detection and efficient management practices to control Tuta absoluta (Meyrick) infestation is crucial for safeguarding tomato production yield and minimizing economic losses. This study investigates the detection of T. absoluta infestation on toma...
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Damilola A. Okuboyejo and Oludayo O. Olugbara
The conventional dermatology practice of performing noninvasive screening tests to detect skin diseases is a source of escapable diagnostic inaccuracies. Literature suggests that automated diagnosis is essential for improving diagnostic accuracies in med...
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José Escorcia-Gutierrez, Margarita Gamarra, Roosvel Soto-Diaz, Meglys Pérez, Natasha Madera and Romany F. Mansour
Soil nutrients are a vital part of soil fertility and other environmental factors. Soil testing is an efficient tool used to evaluate the existing nutrient levels of soil and aid to compute the appropriate quantity of soil nutrients depending upon the fe...
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Jin Hyun Kim, Eunah Jo, Seungjae Ryu, Sohee Nam, Somin Song, Yong Seop Han, Tae Seen Kang, Woongsup Lee, Seongjin Lee, Kyong Hoon Kim, Hyunju Choi and Seunghwan Lee
Visual acuity (VA) is a measure of the ability to distinguish shapes and details of objects at a given distance and is a measure of the spatial resolution of the visual system. Vision is one of the basic health indicators closely related to a person?s qu...
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Muchammad Naseer, Jauzak Hussaini Windiatmaja, Muhamad Asvial and Riri Fitri Sari
The application of the bidirectional encoder model to detect fake news has been widely applied because of its ability to provide factual verification with good results. Good fact verification requires the most optimal model and has the best evaluation to...
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Ognjen Radovic,Srdan Marinkovic,Jelena Radojicic
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Credit scoring attracts special attention of financial institutions. In recent years, deep learning methods have been particularly interesting. In this paper, we compare the performance of ensemble deep learning methods based on decision trees with the b...
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Imam Mustafa Kamal, Hyerim Bae, Sim Sunghyun and Heesung Yun
The Baltic Dry Index (BDI) is a commonly utilized indicator of global shipping and trade activity. It influences stakeholders? and ship-owners? decisions respecting investments, chartering, operational plans, and export and import activities. Accurate pr...
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