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Found 9 papers, 0 papers with code
High-energy physics image classification: A Survey of Jet Applications
In recent times, the fields of high-energy physics (HEP) experimentation and phenomenological studies have seen the integration of machine learning (ML) and its specialized branch, deep learning (DL).
Machine Learning and Vision Transformers for Thyroid Carcinoma Diagnosis: A review
The growing interest in developing smart diagnostic systems to help medical experts process extensive data for treating incurable diseases has been notable.
Advanced Artificial Intelligence Algorithms in Cochlear Implants: Review of Healthcare Strategies, Challenges, and Perspectives
Automatic speech recognition (ASR) plays a pivotal role in our daily lives, offering utility not only for interacting with machines but also for facilitating communication for individuals with either partial or profound hearing impairments.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey
DTL allows high-performance models using small yet related datasets, FL enables training on confidential data without dataset possession, and RL optimizes decision-making in dynamic environments, reducing computation costs.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions
There has been a growing interest in creating intelligent diagnostic systems to assist medical professionals in analyzing and processing big data for the treatment of incurable diseases.
Federated Learning for Computer Vision
Computer Vision (CV) is playing a significant role in transforming society by utilizing machine learning (ML) tools for a wide range of tasks.
Deep Learning for Steganalysis of Diverse Data Types: A review of methods, taxonomy, challenges and future directions
The paper provides a systematic review of recent research in the field, including data sets and evaluation metrics used in recent studies.
Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization
Moreover, DL techniques and machine learning (ML) approaches in general, hypothesize that training and testing data come from the same domain, with the same input feature space and data distribution characteristics.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
The algorithms and methods used in several studies are presented, and the principles of DTL-based IDS subcategories are presented to the reader and illustrated deeply and clearly
