Antonio Celesti, Ivanoe De Falco, Antonino Galletta, Giovanna Sannino
Machine and deep learning techniques are fuelling a revolution in the health domain and are attracting the interest of many cross-disciplinary research groups all over the world [...]
Faisal A. Alshuwaier, Fawaz A. Alsulaiman
Currently, with significant developments in technology and social networks, people gain rapid access to news without focusing on its reliability. Consequently, the proportion of fake news has increased. Fake news is a significant problem that hinders societies today, as it negati…
Machine learning (ML) and deep learning (DL), subsets of artificial intelligence (AI), are the core technologies that lead significant transformation and innovation in various industries by integrating AI-driven solutions. Understanding ML and DL is essential to logically analyse…
Thangavel Murugan, Nasurudeen Ahamed Noor Mohamed Badusha, Nura Shifa Musa, Eiman Mubarak Masoud Alahbabi, Ruqayyah Ali Ahmed Alyammahi, Abebe Belay Adege, et al.
Recent developments in machine learning (ML) and deep learning (DL) algorithms have introduced a new approach to the automatic detection of plant diseases. However, existing reviews of this field tend to be broader than maize-focused and do not offer a comprehensive synthesis of…
Beatriz Duro, Anabela Gomes, Fernanda Brito Correia, Ana Rosa Borges, Jorge Bernardino
Student dropout in Higher Education remains a persistent challenge with significant academic, social and economic consequences. Predictive analytics using traditional Machine Learning and Deep Learning have been increasingly explored to support early identification of students at…
Samuel Akwasi Frimpong, Mu Han, Wenyi Zheng, Xiaowei Li, Ernest Akpaku, Ama Pokuah Obeng
Machine learning and deep learning techniques integrated with advanced sensing technologies have revolutionized agricultural engineering, addressing complex challenges in food production, quality assessment, and environmental monitoring. This survey presents a systematic review a…
Sentiment analysis is a key technique in natural language processing that enables computers to understand human emotions expressed in text. It is widely used in applications such as customer feedback analysis, social media monitoring, and product reviews. However, sentiment analy…