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Topic Review
Anomaly Detection in Software-Defined Networks
One solution enabling the implementation of modern methods for managing and monitoring telecommunication networks is the concept of software-defined networks (SDN). It introduces a centralized architecture for managing computer networks that is fully programmable. With the increasing availability of computational power, contemporary machine learning has undergone a paradigm shift, placing a heightened emphasis on deep learning methodologies. The pervasive automation of various processes necessitates a critical re-evaluation of contemporary network implementations, specifically concerning security protocols and the imperative need for swift, precise responses to system failures.
  • 154
  • 08 Feb 2024
Topic Review
Incremental Scene Classification Using Dual Knowledge Distillation
Conventional deep neural networks face challenges in handling the increasing amount of information in real-world scenarios where it is impractical to gather all the training data at once. Incremental learning, also known as continual learning, provides a solution for lightweight and sustainable learning with neural networks.
  • 247
  • 08 Feb 2024
Topic Review
Compressive Sensing in Image/Video Compression
Compressive Sensing (CS) has emerged as a transformative technique in image compression, offering innovative solutions to challenges in efficient signal representation and acquisition. 
  • 133
  • 08 Feb 2024
Topic Review
Authentication Paradigms in the Internet of Things
In the rapidly expanding domain of the Internet of Things (IoT), ensuring the implementation of robust security measures such as authentication has become paramount to safeguarding sensitive data and maintaining the integrity of connected devices. Symmetry in the IoT commonly denotes the uniformity or equilibrium in data distribution and processing across devices or nodes in a network. Leveraging symmetric patterns can enhance the robustness and scalability of IoT authentication. 
  • 153
  • 08 Feb 2024
Topic Review
Distributed Denial of Service Attacks
Mobile Edge Computing (MEC) has revolutionized the landscape of the telecommunication industry by offering low-latency, high-bandwidth, and real-time processing. With this advancement comes a broad range of security challenges, the most prominent of which is Distributed Denial of Service (DDoS) attacks, which threaten the availability and performance of MEC’s services. In most cases, Intrusion Detection Systems (IDSs), a security tool that monitors networks and systems for suspicious activity and notify administrators in real time of potential cyber threats, have relied on shallow Machine Learning (ML) models that are limited in their abilities to identify and mitigate DDoS attacks.
  • 117
  • 07 Feb 2024
Topic Review
Task Scheduling in Cloud Computing
Cloud computing resources have become one of the trending technologies that permit the user to manage diverse resources and a huge amount of data in the cloud. Task scheduling is considered one of the most significant challenges and ineffective management results in performance degradation. It is necessary to schedule the task effectively with maximum resource utilization and minimum execution time. 
  • 125
  • 07 Feb 2024
Topic Review
Strawberry Ripeness Classification
Image analysis-based artificial intelligence (AI) models leveraging convolutional neural networks (CNN) take a significant role in evaluating the ripeness of strawberry, contributing to the maximization of productivity. However, the convolution, which constitutes the majority of the CNN models, imposes significant computational burdens. Additionally, the dense operations in the fully connected (FC) layer necessitate a vast number of parameters and entail extensive external memory access. Therefore, reducing the computational burden of convolution operations and alleviating memory overhead is essential in embedded environment.
  • 155
  • 07 Feb 2024
Topic Review
Deep Learning Frameworks and Tools
Deep learning (DL) has been applied successfully in medical imaging such as reconstruction, classification, segmentation, and detection.
  • 168
  • 07 Feb 2024
Topic Review
Association Rule Mining in Facility Management
Maintenance represents a substantial share of work in various industries. Due to its significant financial impact, industry and research focus on improving the effectiveness of maintenance. Predictive Maintenance (PM) is one way to reduce costs and downtimes by planning maintenance work based on an asset’s actual condition rather than relying on fixed time-based maintenance cycles. Association rule mining (ARM) is a suitable method for PM tasks when data are unlabeled and less structured, as is the case in the facility management domain.
  • 121
  • 07 Feb 2024
Topic Review
Mobile Augmented Reality Used in Sustainable Education
Educational institutions have faced significant difficulties in the teaching process at all educational levels, due to lack of motivation, concentration, attention, and confidence, among other aspects. In this sense, information and communication technologies can be the answer to transform educational models. One of the most promising and accessible technologies in recent years is mobile augmented reality (MAR), which allows students to visualize content through a mobile device combining the real environment with a virtual environment, providing an interactive and digital vision of the physical world in real time. 
  • 128
  • 07 Feb 2024
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