Sikandar Ali
Orcid: 0000-0002-8479-4084Affiliations:
- Inje University, Gimhae-si, South Korea
According to our database1,
Sikandar Ali
authored at least 14 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
IEEE Access, 2025
Foundation Models: From Current Developments, Challenges, and Risks to Future Opportunities.
Proceedings of the 27th International Conference on Advanced Communications Technology, 2025
2024
Deep learning-based anomaly detection using one-dimensional convolutional neural networks (1D CNN) in machine centers (MCT) and computer numerical control (CNC) machines.
PeerJ Comput. Sci., 2024
Cervical Spine Fracture Detection and Classification Using Two-Stage Deep Learning Methodology.
IEEE Access, 2024
Vision Transformer-based Model for Gastric Cancer Detection and Classification using Weakly Annotated Histopathological Images.
Proceedings of the 26th International Conference on Advanced Communications Technology, 2024
Machine Learning Based Techniques for the Prediction of Axillary Lymph Node Metastases in Early Breast Cancer.
Proceedings of the 26th International Conference on Advanced Communications Technology, 2024
Classifying Gastric Cancer Carcinoma Stages with Deep Semantic Features and GLCM Texture Features.
Proceedings of the 26th International Conference on Advanced Communications Technology, 2024
2023
Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security.
Sensors, January, 2023
Metaverse in Manufacturing Using Emerging Technologies: An Overview For The Smart Industry 4.0.
Proceedings of the International Conference on Intelligent Metaverse Technologies & Applications, 2023
Anxiety and Depression Detection and Rehabilitation in the Metaverse: A BERT-Based Recommendation System.
Proceedings of the International Conference on Intelligent Metaverse Technologies & Applications, 2023
Proceedings of the 25th International Conference on Advanced Communication Technology, 2023
2022
Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model.
Sensors, 2022
Activity Detection for the Wellbeing of Dogs Using Wearable Sensors Based on Deep Learning.
IEEE Access, 2022
2021
Sentimental Analysis of Movie Reviews using Soft Voting Ensemble-based Machine Learning.
Proceedings of the Eighth International Conference on Social Network Analysis, 2021