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Topic Review
Edge-Guided Multimodal Transformers Change Detection
Change detection from heterogeneous satellite and aerial images plays a progressively important role in many fields, including disaster assessment, urban construction, and land use monitoring. Researchers have mainly devoted their attention to change detection using homologous image pairs and achieved many remarkable results. It is sometimes necessary to use heterogeneous images for change detection in practical scenarios due to missing images, emergency situations, and cloud and fog occlusion.
  • 596
  • 05 Mar 2024
Topic Review
Data Completeness and Imputation Methods on Supervised Classifiers
Data completeness is one of the most common challenges that hinder the performance of data analytics platforms. Different studies have assessed the effect of missing values on different classification models based on a single evaluation metric, namely, accuracy. However, accuracy on its own is a misleading measure of classifier performance because it does not consider unbalanced datasets.
  • 594
  • 21 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. 
  • 594
  • 01 Mar 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.
  • 593
  • 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. 
  • 593
  • 19 Jul 2023
Topic Review
Real-Time Intelligent Detection System for Illegal Wearing
Ensuring personal safety and preventing accidents are critical aspects of power construction safety supervision. However, current monitoring methods are inefficient and unreliable as most of them rely on manual monitoring and transmission, which results in slow detection and delayed warnings regarding violations.
  • 591
  • 27 Jul 2023
Topic Review
Methods for Building Ensembles of Convolutional Neural Networks
In computer vision and image analysis, Convolutional Neural Networks (CNNs) and other deep-learning models are at the forefront of research and development. These advanced models have proven to be highly effective in tasks related to computer vision. One technique that has gained prominence in recent years is the construction of ensembles using deep CNNs. These ensembles typically involve combining multiple pretrained CNNs to create a more powerful and robust network.
  • 591
  • 08 Dec 2023
Topic Review
INtra-INter Spectral Attention Network for Pedestrian Detection
Pedestrian detection is a critical task for safety-critical systems, but detecting pedestrians is challenging in low-light and adverse weather conditions. Thermal images can be used to improve robustness by providing complementary information to RGB images.
  • 591
  • 04 Mar 2024
Topic Review
Document-Level Multimodal Sentiment Analysis
An increasing number of people tend to convey their opinions in different modalities. For the purpose of opinion mining, sentiment classification based on multimodal data becomes a major focus. Sentiment analysis at the document level aims to identify the opinion on a main topic expressed by a whole document.
  • 591
  • 01 Jun 2023
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.
  • 590
  • 22 Nov 2023
Topic Review
Alan Mathison Turing
Alan Mathison Turing was a British mathematician, logician, cryptanalyst, and theoretical biologist whose groundbreaking work laid the foundations of modern computer science and artificial intelligence. He is best known for conceptualizing the Turing machine, a formal model of computation, and for his crucial role in deciphering the German Enigma code during World War II. His legacy extends across the fields of mathematics, cognitive science, and the philosophy of mind, and he is widely regarded as one of the most influential thinkers of the twentieth century.
  • 590
  • 23 Jun 2025
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.
  • 588
  • 08 Dec 2023
Topic Review
Vision-Autocorrect
The last two years have seen a rapid rise in the duration of time that both adults and children spend on screens, driven by the recent COVID-19 health pandemic. A key adverse effect is digital eye strain (DES). Recent trends in human-computer interaction and user experience have proposed voice or gesture-guided designs that present more effective and less intrusive automated solutions. These approaches inspired the design of a solution that uses facial expression recognition (FER) techniques to detect DES and autonomously adapt the application to enhance the user’s experience.
  • 587
  • 23 Nov 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.
  • 587
  • 18 Jan 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. 
  • 587
  • 08 Dec 2023
Topic Review
Cross-Modal Dynamic Attention Neural Architecture
Detecting anomalies in data streams from smart communication environments is a challenging problem that can benefit from novel learning techniques. The Attention Mechanism is a very promising architecture for addressing this problem. It allows the model to focus on specific parts of the input data when processing it, improving its ability to understand the meaning of specific parts in context and make more accurate predictions.
  • 586
  • 15 Sep 2023
Topic Review
Few-Shot Object Detection
Few-shot object detection (FSOD) aims at designing models that can accurately detect targets of novel classes in a scarce data regime. 
  • 586
  • 16 Oct 2023
Topic Review
Cultural Heritage Buildings in Athens
Architectural structures, the basic elements of the urban web, are an aggregation of buildings that have been built at different times, with different materials, and in different styles. Through research, they can be divided into groups that present common morphological attributes and refer to different historical periods with particular social, economic, and cultural characteristics.
  • 586
  • 16 Jan 2024
Topic Review
Channel Correction for Anterior Cruciate Ligament Tear
The anterior cruciate ligament (ACL) is critical for controlling the motion of the knee joint, but it is prone to injury during sports activities and physical work. If left untreated, ACL injuries can lead to various pathologies such as meniscal damage and osteoarthritis. 
  • 585
  • 05 Jun 2023
Topic Review
Web Search Results Exploration for Blind Users
In the contemporary digital landscape, web search functions as a pivotal conduit for information dissemination. Nevertheless, blind users (BUs) encounter substantial barriers in leveraging online services, attributable to intrinsic deficiencies in the information structure presented by online platforms. A critical analysis reveals that a considerable segment of BUs perceive online service access as either challenging or unfeasible, with only a fraction of search endeavors culminating successfully. 
  • 585
  • 21 Nov 2023
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