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Topic Review
An AI-Based Framework for Translating American Sign Language
Communication is an essential part of life, without which life would be very difficult. Each living being in the world communicates in their own way. American Sign Language (ASL) is a sign language used by deaf and hearing impaired people in the United States and Canada, devised in part by Thomas Hopkins Gallaudet and Laurent Clerc based on sign language in France.
  • 621
  • 31 Oct 2023
Topic Review
Federated Meta-Learning for Driver Distraction Detection
Driver distraction detection (3D) is essential in improving the efficiency and safety of transportation systems. Federated learning (FL) is emerging as a feasible solution that can train models without private and sensitive information leaving its local repository. Even though various solutions are proposed by using FL to upgrade the model learning paradigm of 3D, considering the requirements for user privacy and the phenomenon of data growth in real-world scenarios, existing methods are insufficient to address four emerging challenges, i.e., data accumulation, communication optimization, data heterogeneity, and device heterogeneity. 
  • 620
  • 27 Oct 2023
Topic Review
Methodology of Social Network Message Analysis
Detection of Cyber Attacks in Social Media Messages Based on Convolutional Neural Networks and natural language processing (NLP) Techniques is a messages preprocessing proposal independent of social media source and validations based on threat hunting techniques. 
  • 619
  • 20 Sep 2023
Topic Review
Multi-Label Classification Based on Associations
Associative classification (AC) has been shown to outperform other methods of single-label classification for over 20 years. In order to create rules that are both more precise and simpler to grasp, AC combines the rules of mining associations with the task of classification.
  • 619
  • 08 Dec 2023
Topic Review
Predicting an Optimal Medication/Prescription Regimen Using Multi-Output Models
The discordant chronic comorbidities care (DC33) model shows how a change in a patient treatment plan can negatively impact symptoms and necessitate revisiting the plan. These interactions make treatment decisions, prioritization, and adherence for DCCs very complex and challenging for patients and their healthcare providers.
  • 618
  • 23 Jan 2024
Topic Review
Audio–Visual Emotion Recognition
Emotion recognition can be formulated as a problem where some source produces several streams of data (features) of various modalities (e.g., audio and video), each with its own distribution, and the goal is to estimate the distributions and map them onto the source.
  • 617
  • 21 Nov 2023
Topic Review
UNet and Conventional DL Systems for CAD
The ability of UNet-based deep learning models as shown before is very powerful in the imaging domain and can handle image noise, structure, scale, size, resolution, and further, the variability in the shapes.
  • 616
  • 22 Dec 2023
Topic Review
CNN Models for Skin Lesions Detection
Skin cancer is a widespread disease that typically develops on the skin due to frequent exposure to sunlight. Although cancer can appear on any part of the human body, skin cancer accounts for a significant proportion of all new cancer diagnoses worldwide. There are substantial obstacles to the precise diagnosis and classification of skin lesions because of morphological variety and indistinguishable characteristics across skin malignancies. Deep learning models have been used in the field of image-based skin-lesion diagnosis and have demonstrated diagnostic efficiency on par with that of dermatologists. 
  • 615
  • 22 Feb 2024
Topic Review
Federated Learning Models Based on DAG Blockchain
With the development of the power internet of things, the traditional centralized computing pattern has been difficult to apply to many power business scenarios, including power load forecasting, substation defect detection, and demand-side response. How to perform efficient and reliable machine learning tasks while ensuring that user data privacy is not violated has attracted the attention of the industry. Blockchain-based federated learning (FL), proposed as a new decentralized and distributed learning framework for building privacy-enhanced IoT systems, is receiving more and more attention from scholars.
  • 614
  • 22 Nov 2023
Topic Review
GAN-Based Tabular Data Generator for Constructing Synopsis
In data-driven systems, data exploration is imperative for making real-time decisions. However, big data are stored in massive databases that are difficult to retrieve. Approximate Query Processing (AQP) is a technique for providing approximate answers to aggregate queries based on a summary of the data (synopsis) that closely replicates the behavior of the actual data. The use of Generative Adversarial Networks (GANs) for generating tabular data has emerged as a pivotal method in AQP for constructing accurate synopses. Moreover, the advancement of tabular GAN architectures addresses the specific challenges encountered in synopsis construction. These advanced GAN variations exhibit a promising capacity to generate high-fidelity synopses, potentially transforming the efficiency and effectiveness of AQP in data-driven systems. 
  • 614
  • 25 Jan 2024
Topic Review
Severity Identification of Parkinson’s Disease
Disease severity identification using computational intelligence-based approaches is gaining popularity nowadays. Movement disorders caused by PD may not remain the same in different patients. Thus, it is essential to develop an automated tool to evaluate a patient’s gait.
  • 613
  • 14 Apr 2023
Topic Review
Application of Deep Learning in Cancer Diagnoses
The application of deep learning technology to realize cancer diagnosis based on medical images is one of the research hotspots in the field of artificial intelligence and computer vision. Deep learning has succeeded greatly in medical image-based cancer diagnosis. 
  • 613
  • 19 Jul 2023
Topic Review
Prediction of Cellular Network Traffic
Cellular communication systems have continued to develop in the direction of intelligence. The demand for cellular networks is increasing as they meet the public’s pursuit of a better life. Accurate prediction of cellular network traffic can help operators avoid wasting resources and improve management efficiency. Traditional prediction methods can no longer perfectly cope with the highly complex spatiotemporal relationships of the current cellular networks, and prediction methods based on deep learning are constantly growing.
  • 613
  • 14 Aug 2023
Topic Review
Keystroke Dynamics in Personal Characteristics Protection
The rapid development of information and communication technologies and the widespread use of the Internet has made it imperative to implement advanced user authentication methods based on the analysis of behavioural biometric data. In contrast to traditional authentication techniques, such as the simple use of passwords, these new methods face the challenge of authenticating users at more complex levels, even after the initial verification. This is particularly important as it helps to address risks such as the possibility of forgery and the disclosure of personal information to unauthorised individuals. Users can be categorised using keystroke dynamics, in terms of the age group they belong to and in terms of their educational level, with high accuracy rates, which is a strong indication for the creation of applications to enhance user security and facilitate their use of Internet services.
  • 613
  • 06 Nov 2023
Topic Review
Blockchain in the Peer-to-Peer Energy Trades
Advancements in rooftop solar panel technology have sparked a revolution in the electricity markets. This has given rise to a new concept of energy exchange—the ability for consumers and producers to trade localized energy. This concept has been made possible by the emergence of blockchain technology, which has gained significant traction in the energy markets. Its unique ability to facilitate peer-to-peer (P2P) energy transactions has made it a promising solution for the trilemma of scalability, security, and decentralization. 
  • 613
  • 23 Feb 2024
Topic Review
Smart Sensing-Based Intelligent Healthcare System for Diabetes Patients
An Artificial Intelligence (AI)-enabled human-centered smart healthcare monitoring system can be useful in life saving, specifically for diabetes patients. Diabetes and heart patients need real-time and remote monitoring and recommendation-based medical assistance. Such human-centered smart healthcare systems can not only provide continuous medical assistance to diabetes patients but can also reduce overall medical expenses. In the last decade, machine learning has been successfully implemented to design more accurate and precise medical applications. 
  • 612
  • 08 Dec 2023
Topic Review
Facial Expression Recognition Using Local Sliding Window Attention
There are problems associated with facial expression recognition (FER), such as facial occlusion and head pose variations. These two problems lead to incomplete facial information in images, making feature extraction extremely difficult. 
  • 611
  • 25 Dec 2023
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.
  • 611
  • 18 Jan 2024
Topic Review
Commonsense Causal Reasoning
Commonsense causal reasoning is the process of understanding the causal dependency between common events or actions. Traditionally, it was framed as a selection problem. However, it cannot obtain enough candidates and needs more flexible causes (or effects) in many scenarios, such as causal-based QA problems. Thus, the ability to generate causes (or effects) is an important problem.
  • 610
  • 13 Dec 2023
Topic Review
Anomaly Detection in Electrocardiogram Sensor Data
Monitoring heart electrical activity is an effective way of detecting existing and developing conditions. This is usually performed as a non-invasive test using a network of up to 12 sensors (electrodes) on the chest and limbs to create an electrocardiogram (ECG). By visually observing these readings, experienced professionals can make accurate diagnoses and, if needed, request further testing. However, the training and experience needed to make accurate diagnoses are significant. 
  • 610
  • 01 Mar 2024
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