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 [...]
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…
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…
Mutaz A. B. Al-Tarawneh, Omar Al-irr, Khaled S. Al-Maaitah, Hassan Kanj, Wael Hosny Fouad Aly
The widespread dissemination of fake news on social media has necessitated the development of more sophisticated detection methods to maintain information integrity. This research systematically investigates the effectiveness of different word embedding techniques—TF-IDF, Word2Ve…
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…
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…
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…