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Topic Review
Point Cloud Semantic Segmentation
For autonomous vehicles driving in off-road environments, it is crucial to have a sensitive environmental perception ability. However, semantic segmentation in complex scenes remains a challenging task. Most current methods for off-road environments often have the problems of single scene and low accuracy. 
  • 380
  • 20 Oct 2023
Topic Review
Wind–Solar Hybrid System Modeling
Wind–solar hybrid systems combine solar photovoltaic cells and wind turbines to produce power from both solar and wind energy.
  • 379
  • 31 May 2023
Topic Review
A Benchmark Dataset for Wearable Low-Light Pedestrian Detection
Detecting pedestrians in low-light conditions is challenging, especially in the context of wearable platforms. Infrared cameras have been employed to enhance detection capabilities, whereas low-light cameras capture the more intricate features of pedestrians. With this in mind, a low-light pedestrian detection (called HRBUST-LLPED) dataset by capturing pedestrian data on campus using wearable low-light cameras is introduced.
  • 379
  • 19 Dec 2023
Topic Review
Floating Photovoltaic in Underwater Electric Vehicles
Electric vehicles are becoming increasingly necessary in today’s generation systems, with the process of E-vehicles being used not only in automobile manufacturing companies, but also in the design of underwater vehicular technology. Floating photovoltaic in the presence of PV panels is the process of knowing underwater systems with solar panels. 
  • 379
  • 13 May 2022
Topic Review
Multispectral Facial Recognition in the Wild
Face recognition systems in uncontrolled environments have shown impressive performance improvements. However, most are limited to the use of a single spectral band in the visible spectrum. The use of multi-spectral images makes it possible to collect information that is not obtainable in the visible spectrum when certain occlusions exist (e.g., fog or plastic materials) and in low- or no-light environments. The state of the art regarding face recognition systems in an uncontrolled environment has led to the conclusion that image synthesis methods, mainly with GANs, have been used to combat intrapersonal variations, such as the difference in pose and facial expression. On the other hand, in the area of multispectral face recognition, with a plurality of solutions presented by the use of multispectral images, fusion methods are those that make the most use of images captured in different spectral bands in order to make a decision. The main problem encountered is the limited number of images (and people) in multispectral databases in an uncontrolled environment, which makes it challenging to train convolutional neural networks, which are the most used method for feature extraction.
  • 378
  • 25 Aug 2022
Topic Review
Biometrics Mobile Authentication
Touch screen devices have evolved rapidly in recent years as demand and manufacture have skyrocketed. While smartphone capability continues to grow, progress in security has stagnated. This increasing gap between smartphone ability and security poses a significant problem. Physiological biometrics involve the unique physical characteristics of an individual such as their face, fingerprints, or iris. Behavioral biometrics involve how a person interacts with their device such as their typing, swiping, or tapping patterns. Biometrics authentication applies the user’s unique biological or behavioral features to phone security, which is more difficult to replicate by attackers in comparison to knowledge-based authentication.
  • 378
  • 10 Jul 2023
Topic Review
DDoS Detection Using DL Models and Explanation Methods
With the rise of distributed denial of service (DDoS) attacks, several machine learning-based attack detection models have been used to mitigate malicious behavioral attacks. Understanding how machine learning models work is not trivial. This is particularly true for complex and nonlinear models, such as deep learning models that have high accuracy. The struggle to explain these models creates a tension between accuracy and explanation. Different methods have been used to explain deep learning models and address ambiguity issues.
  • 378
  • 25 Aug 2023
Topic Review
World-Wide Federated Content-Based Medical Image Retrieval
Content-based medical image retrieval (CBMIR) is a recent DL-based methodology that allows pathologists a quick and precise search in previously diagnosed and treated cases. In CBMIR, image features, such as texture, shape, color, and intensity, are extracted from the query and data set; then, a similarity measure is applied to compare the query features with the features of the database.
  • 378
  • 17 Oct 2023
Topic Review
Random Forest, Feedforward Neural Network, GRU and FinGAT
Stock prediction has garnered considerable attention among investors, with a recent focus on the application of machine learning techniques to enhance predictive accuracy. Prior research has established the effectiveness of machine learning in forecasting stock market trends, irrespective of the analytical approach employed, be it technical, fundamental, or sentiment analysis. 
  • 378
  • 18 Dec 2023
Topic Review
LiDAR Point Clouds Semantic Segmentation in Autonomous Driving
Although semantic segmentation of 2D images is crucial to attaining scene understanding, there are still some limitations to visual sensors, such as the inefficiency of acquiring information under insufficient light, lack of depth information and limited field of view. In contrast, LiDAR can obtain accurate depth information with higher density and wider viewing field regardless of lighting conditions, which makes it a more reliable source of information for environmental perception.
  • 378
  • 24 Jan 2024
Topic Review
Anterior and Inferior Myocardial Infarctions Using UWB Radar
Despite significant improvement in prognosis, myocardial infarction (MI) remains a major cause of morbidity and mortality around the globe. MI is a life-threatening cardiovascular condition that requires prompt diagnosis and appropriate treatment. The combination of ultra-wideband (UWB) radar and machine learning (ML) approaches has shown significant potential to improve the diagnosis of various medical conditions. 
  • 376
  • 15 Sep 2023
Topic Review
Federated Learning for Intrusion Detection Systems in IoV
The Internet of Vehicles (IoV) has garnered significant attention from researchers and automotive industry professionals due to its expanding range of applications and services aimed at enhancing road safety and driver/passenger comfort. However, the massive amount of data spread across this network makes securing it challenging. The IoV network generates, collects, and processes vast amounts of valuable and sensitive data that intruders can manipulate. An intrusion detection system (IDS) is the most typical method to protect such networks. An IDS monitors activity on the road to detect any sign of a security threat and generates an alert if a security anomaly is detected. Federated Learning (FL) is a decentralized machine learning technique, FL allows model training on client devices while maintaining user data privacy.
  • 375
  • 22 Jan 2024
Topic Review
Train Multiplayer First-Person Shooter Game Agents
Artificial Intelligence bots are extensively used in multiplayer First-Person Shooter (FPS) games. By using Machine Learning techniques, we can improve their performance and bring them to human skill levels.
  • 375
  • 18 Mar 2024
Topic Review
New Semantic Segmentation Method for Remote Sensing Images
Semantic segmentation is an important task for the interpretation of remote sensing images. Remote sensing images are large in size, contain substantial spatial semantic information, and generally exhibit strong symmetry, resulting in images exhibiting large intraclass variance and small interclass variance, thus leading to class imbalance and poor small-object segmentation.
  • 374
  • 08 Jun 2023
Topic Review
Analysis-Based ODF Watermarking Algorithm for Edge Cloud Scenarios
With the growing demand for data sharing file formats in financial applications driven by open banking, the use of the OFD (open fixed-layout document) format has become widespread.
  • 374
  • 21 Sep 2023
Topic Review
Sensor-Based Human Action Recognition
Sensor-based Human Action Recognition (HAR) is a fundamental component in human–robot interaction and pervasive computing. It achieves HAR by acquiring sequence data from embedded sensor devices (accelerometers, magnetometers, gyroscopes, etc.) of multiple sensor modalities worn at different body locations for data processing and analysis.
  • 374
  • 28 Sep 2023
Topic Review
Near-Infrared Band Simulation Using Conditional Generative Adversarial Network
Multispectral sensors are important instruments for Earth observation. In remote sensing applications, the near-infrared (NIR) band, together with the visible spectrum (RGB), provide abundant information about ground objects.
  • 373
  • 31 Jul 2023
Topic Review
Types of Breast Cancer Imaging
Cancer is an incurable disease based on unregulated cell division. Breast cancer is the most prevalent cancer in women worldwide, and early detection can lower death rates. Medical images can be used to find important information for locating and diagnosing breast cancer. The best information for identifying and diagnosing breast cancer comes from medical pictures.
  • 371
  • 09 Aug 2023
Topic Review
Deep Learning in Arabic Tweets Fake News Detection
Fake news has been around for a long time, but the rise of social networking applications has rapidly increased the growth of fake news among individuals. Fake news negatively impacts various aspects of life (economical, social, and political). Identifying fake news manually on these open platforms would be challenging as they allow anyone to build networks and publish the news in real time. Therefore, creating an automatic system for recognizing news credibility on social networks relying on artificial intelligence techniques, including machine learning and deep learning, has attracted the attention of researchers. Using deep learning methods has shown promising results in recognizing fake news written in English. 
  • 371
  • 14 Aug 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. 
  • 371
  • 20 Sep 2023
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