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Topic Review
Multi-Task Learning, Multi-Branch Networks, and Attention Mechanisms
Diabetic Retinopathy (DR) is one of the most common microvascular complications of diabetes. Diabetic Macular Edema (DME) is a concomitant symptom of DR. As the grade of lesion of DR and DME increases, the possibility of blindness can also increase significantly. To take early interventions as soon as possible to reduce the likelihood of blindness, it is necessary to perform both DR and DME grading. 
  • 176
  • 18 Jan 2024
Topic Review
Applications of TDA to Analyze Cardiovascular Signals
Cardiovascular diseases (CVDs) have been, for a long time, a major global health problem that has caused more deaths than any form of cancer or respiratory disease combined. The detection and prediction of CVDs is made difficult by the numerous etiological factors, complex disease pathways, and diverse clinical presentations. Topological data analysis (TDA) is an approach for analyzing and interpreting complex data sets based on ideas a branch of mathematics called algebraic topology.
  • 231
  • 18 Jan 2024
Topic Review
An Optimal House Price Prediction Algorithm: XGBoost
An accurate prediction of house prices is a fundamental requirement for various sectors, including real estate and mortgage lending. It is widely recognized that a property’s value is not solely determined by its physical attributes but is significantly influenced by its surrounding neighborhood. Meeting the diverse housing needs of individuals while balancing budget constraints is a primary concern for real estate developers. 
  • 296
  • 18 Jan 2024
Topic Review
Assessment Automation of Complex Student Programming Assignments
Grading student programming assignments is not an easy task. This task is even more challenging when talking about complex programming assignments at university graduate level. By complex assignments, researchers mean assignments where students have to program a complete application from scratch. For example, building a complete web application with a client and server side, whereby the application uses multiple threads that gather data from some external service (like the REST service, IoT sensors, etc.), processes these data and store them in some storage (e.g., a database), implements a custom protocol over a socket or something similar, implements their own REST/SOAP/GraphQL service, then sends or receives JMS/MQTT/WebSocket messages, etc. Such assignments give students an inside view of building real Internet applications. On the other hand, assignments like these take a long time to be tested and graded manually, e.g., up to 1 h per student. To speed up the assessment process, there are different automation possibilities that can check for the correctness of some application parts without endangering the grading quality.
  • 133
  • 18 Jan 2024
Topic Review
Enhancing Ensemble Learning Using CNN for Spoof Fingerprints
Convolutional Neural Networks (CNNs) have demonstrated remarkable success with great accuracy in classification problems. Using an ensemble of neural networks offers a simple yet effective measure to improve performance and robustness beyond that of a single network.
  • 228
  • 18 Jan 2024
Topic Review
Advances in Non-Invasive Neuromodulation: Closed-Loop Vagus Nerve Stimulation
Transcutaneous auricular vagus nerve stimulation (taVNS) is a non-invasive neuromodulation therapy that eliminates the need for internal device implantation, presenting as a favorable therapeutic option. This method relies on electrical surface stimulation, bypassing the need for surgical procedures.
  • 268
  • 18 Jan 2024
Topic Review
Attack-Aware Logical Link Assignment
Software-Defined Networking (SDN), which is used in Industrial Internet of Things, uses a controller as its “network brain” located at the control plane. This uniquely distinguishes it from the traditional networking paradigms because it provides a global view of the entire network. In SDN, the controller can become a single point of failure, which may cause the whole network service to be compromised.
  • 235
  • 18 Jan 2024
Topic Review
Drone Based RGBT Tracking with Dual-Feature Aggregation Network
In the field of UAV-based object tracking, the use of infrared mode can improve the robustness of the tracker in the scene with severe illumination changes, occlusion and expand the applicable scenarios of UAV-based object tracking tasks. Inspired by the great achievements of Transformer architecture in the field of RGB object tracking, a dual-mode object tracking network based on Transformer can be designed.
  • 170
  • 18 Jan 2024
Topic Review
Cloud Digital Forensics
Cloud computing technology is rapidly becoming ubiquitous and indispensable. Despite the multiple advantages the cloud offers, organizations remain cautious about migrating their data and applications to the cloud due to fears of data breaches and security compromises.
  • 194
  • 18 Jan 2024
Topic Review
Explainable AI for Health Care
Artificial intelligence (AI) have facilitated its widespread adoption in primary medical services, addressing the demand–supply imbalance in healthcare. Vision Transformers (ViT) have emerged as state-of-the-art computer vision models, benefiting from self-attention modules. However, compared to traditional machine learning approaches, deep learning models are complex and are often treated as a “black box” that can cause uncertainty regarding how they operate. Explainable artificial intelligence (XAI) refers to methods that explain and interpret machine learning models’ inner workings and how they come to decisions, which is especially important in the medical domain to guide healthcare decision-making processes. 
  • 134
  • 18 Jan 2024
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