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Topic Review
Non-Contact Video Fire Detection
Fire accidents pose a major threat to the safety of human life and property. Accurate fire detection plays a vital role in responding to fire outbreaks in a timely manner and ensuring the smooth conduct of subsequent firefighting efforts.
  • 250
  • 20 Nov 2023
Topic Review
Integrate Artificial Intelligence into Teaching
Artificial intelligence (AI) is no longer science fiction. It is so close to our daily life that there is even existing legislation and norming like in an ISO standard. But despite these developments, AI has barely entered the consciousness of ordinary users of IT. In an academic context, the importance of AI is well recognized and there are notable efforts to integrate AI into teaching and development of teaching, for example, in curricular development or even to pass an exam. 
  • 247
  • 11 Sep 2023
Topic Review
Customer Segmentation in the Retail Market
Peoples’ awareness of online purchases has significantly risen. This has given rise to online retail platforms and the need for a better understanding of customer purchasing behaviour. Retail companies are pressed with the need to deal with a high volume of customer purchases, which requires sophisticated approaches to perform more accurate and efficient customer segmentation. Customer segmentation is a marketing analytical tool that aids customer-centric service and thus enhances profitability. 
  • 247
  • 20 Oct 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.
  • 247
  • 18 Jan 2024
Topic Review
Crack Detection and Segmentation in Concrete Structures
To prevent potential instability, the early detection of cracks is imperative due to the prevalent use of concrete in critical infrastructure. Automated techniques leveraging artificial intelligence, machine learning, and deep learning as the traditional manual inspection methods are time-consuming. The existing automated concrete crack detection algorithms, despite recent advancements, face challenges in robustness, particularly in precise crack detection amidst complex backgrounds and visual distractions, while also maintaining low inference times.
  • 246
  • 24 Jan 2024
Topic Review
AI-Based Model for Knowledge Evaluation in Public Organizations
In the construction of knowledge bases, it is very important to evaluate the quality of the knowledge entered into them. Artificial Intelligence (AI) development has led to the research of knowledge management tools for multi-user environments, among many other AI applications. In the knowledge management field, the construction of ontologies as knowledge repositories using various sources requires a means of evaluation of all: the input ontologies and the integration process on the output ontology. The results obtained from the evaluations serve as guides to measure the quality of the repository.
  • 245
  • 01 Nov 2023
Topic Review
Insider Cyber Security Threat
The COVID-19 pandemic made all organizations and enterprises work on cloud platforms from home, which greatly facilitates cyberattacks. Employees who work remotely and use cloud-based platforms are chosen as targets for cyberattacks. For that reason, cyber security is a more concerning issue and is incorporated into almost every smart gadget and has become a prerequisite in every software product and service. There are various mitigations for external cyber security attacks, but hardly any for insider security threats, as they are difficult to detect and mitigate. Thus, insider cyber security threat detection has become a serious concern.
  • 245
  • 26 Jan 2024
Topic Review
Multi-Domain Feature Alignment for Face Anti-Spoofing
Face anti-spoofing is critical for enhancing the robustness of face recognition systems against presentation attacks. Existing methods predominantly rely on binary classification tasks. An adversarial learning process is designed to narrow the differences between domains, achieving the effect of aligning the features of multiple sources, thus resulting in multi-domain alignment.
  • 244
  • 07 Oct 2023
Topic Review
Explainable Deep Learning in Brain Tumors
Brain tumors (BT) present a considerable global health concern because of their high mortality rates across diverse age groups. A delay in diagnosing BT can lead to death. Therefore, a timely and accurate diagnosis through magnetic resonance imaging (MRI) is crucial. A radiologist makes the final decision to identify the tumor through MRI. However, manual assessments are flawed, time-consuming, and rely on experienced radiologists or neurologists to identify and diagnose a BT. Computer-aided classification models often lack performance and explainability for clinical translation, particularly in neuroscience research, resulting in physicians perceiving the model results as inadequate due to the black box model. Explainable deep learning (XDL) can advance neuroscientific research and healthcare tasks.
  • 244
  • 07 Dec 2023
Topic Review
Detection of Hate Speech in Arabic
Hate speech towards a group or an individual based on their perceived identity, such as ethnicity, religion, or nationality, is widely and rapidly spreading on social media platforms. This causes harmful impacts on users of these platforms and the quality of online shared content. Fortunately, researchers have developed different machine learning algorithms to automatically detect hate speech on social media platforms. However, most of these algorithms focus on the detection of hate speech that appears in English. There is a lack of studies on the detection of hate speech in Arabic due to the language’s complex nature. 
  • 244
  • 19 Mar 2024
Topic Review
Recognition of Grasping Patterns for Human–Robot Collaboration
Recent advances in the field of collaborative robotics aim to endow industrial robots with prediction and anticipation abilities. In many shared tasks, the robot’s ability to accurately perceive and recognize the objects being manipulated by the human operator is crucial to make predictions about the operator’s intentions.
  • 244
  • 16 Nov 2023
Topic Review
Domain Shift Analyzer for Multi-Center MRI Datasets
Multi-center magnetic resonance imaging (MRI) datasets, incorporating data from multiple imaging centers or institutions, offer a unique opportunity to leverage diverse patient demographics, equipment, imaging platforms, and protocols.
  • 243
  • 24 Oct 2023
Topic Review
Vision-Based Flying Obstacle Detection for Avoiding Midair Collisions
See and avoid is a basic procedure that pilots must learn and apply during flight. Various technologies have been introduced to avoid midair collisions, but accidents still occur because they are neither mandatory in all airspaces nor suitable for all aircraft.
  • 243
  • 26 Oct 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.
  • 242
  • 15 Sep 2023
Topic Review
Identifying Key Issues in Climate Change Litigation
As climate change, environmental, social, and governance (ESG), along with sustainability, become increasingly crucial for businesses and society, there is a noticeable scarcity of information and transparency regarding corporate practices. Often, government agency enforcement actions lead to litigation and are ultimately resolved by court decisions. Moreover, in instances when there is perceived inadequacy in government enforcement, citizens frequently turn to the courts for preventive judgments against businesses or agencies.
  • 242
  • 21 Dec 2023
Topic Review
Deep Convolutional Neural Networks and Retinal Vessels
Accurate segmentation of retinal vessels is an essential prerequisite for the subsequent analysis of fundus images. Recently, a number of methods based on deep learning have been proposed and shown to demonstrate promising segmentation performance, especially U-Net and its variants. However, tiny vessels and low-contrast vessels are hard to detect due to the issues of a loss of spatial details caused by consecutive down-sample operations and inadequate fusion of multi-level features caused by vanilla skip connections. 
  • 241
  • 16 Nov 2023
Topic Review
Insulator Defect Detection
Insulators, as important components of high-voltage transmission lines, serve the functions of electrical separation and support for conductors. Due to their long-term outdoor exposure to sunlight, rain, climate changes, and chemical corrosion, insulators often suffer from self-exploding defects, causing the disconnection of insulator strings and interfering with their performance, thus affecting the safety and stability of power systems. Insulator detection methods are generally divided into two types. The first is manual inspection, where workers directly observe insulators to identify defective parts. However, this method is time-consuming and not safe. The second is intelligent inspection, which can effectively locate defective parts by carrying edge detection equipment on drones for regular inspection of insulators. This is also the current mainstream inspection method.
  • 239
  • 26 Jan 2024
Topic Review
Knowledge-Based Robot Manipulation and Knowledge-Graph Embedding
Autonomous indoor service robots are affected by multiple factors when they are directly involved in manipulation tasks in daily life, such as scenes, objects, and actions. It is of self-evident importance to properly parse these factors and interpret intentions according to human cognition and semantics.
  • 238
  • 17 Nov 2023
Topic Review
Gait Recognition
Gait recognition aims to identify a person based on his unique walking pattern. Compared with silhouettes and skeletons, skinned multi-person linear (SMPL) models can simultaneously provide human pose and shape information and are robust to viewpoint and clothing variances. 
  • 238
  • 27 Nov 2023
Topic Review
Lower Limb Disorder Identification
A novel approach for the classification of lower limb disorders, with a specific emphasis on the knee, hip, and ankle. The research employs gait analysis and the extraction of PoseNet features from video data in order to effectively identify and categorize these disorders. The PoseNet algorithm facilitates the extraction of key body joint movements and positions from videos in a non-invasive and user-friendly manner, thereby offering a comprehensive representation of lower limb movements.
  • 237
  • 15 Sep 2023
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