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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.
  • 751
  • 21 Sep 2023
Topic Review
Low-Dimensional Layered Light-Sensitive Memristive Structures for Machine Vision
Layered two-dimensional (2D) and quasi-zero-dimensional (0D) materials effectively absorb radiation in the wide ultraviolet, visible, infrared, and terahertz ranges. Photomemristive structures made of such low-dimensional materials are of great interest for creating optoelectronic platforms for energy-efficient storage and processing of data and optical signals in real time.
  • 750
  • 15 Mar 2022
Topic Review
Deep Learning Models for Road Pothole Detection
For self-driving cars, crack detection is crucial because these vehicles rely on sensors to perceive and navigate the environment. Crack visualization has certain methods, such as the use of a deep-learning architecture, capable of processing images at multiple scales. The inability to judge the difference between potholes or patches results in the sudden break or non-breaking elements at inappropriate places because of a confused state of the neural network. In this regard, detecting potholes in self-driving vehicles or road maintenance is vital for future intelligent transportation systems.
  • 749
  • 03 Jul 2023
Topic Review
AI-Based Fault Diagnosis of Centrifugal Pump
The fault-related impulses in the centrifugal pump (CP) vibration signal are often attenuated due to the background interference noises, thus affecting the sensitivity of the traditional statistical features towards faults. Furthermore, extracting health-sensitive information from the vibration signal needs human expertise and background knowledge.
  • 747
  • 10 Nov 2023
Topic Review
Logical Reasoning Machine Reading Comperhension
Logical reasoning requires correct understanding of the logical relationships between different sentences, pointing out a positive example that enhances the reliability of a conclusion or a negative example that weakens the reliability of a conclusion. The need for this capability places higher demands on the performance of existing reading comprehension models since the inference capability of a large number of models relies heavily on entities and their numerical weights. 
  • 746
  • 22 Dec 2023
Topic Review
Remote Health Monitoring Systems for Elderly People
Remote Health Monitoring Systems (RHMS) can manage, maintain and monitor a specific set of tasks efficiently over a network with reduced cost and errors. Wearable sensors and vision-based sensors detect any abnormalities in the patient’s behavior, prompting immediate action from caregivers or doctors, enabling them to take necessary measures promptly to address the situation.
  • 743
  • 16 Aug 2023
Topic Review
Hill Climb Assembler Encoding
Hill Climb Assembler Encoding (HCAE) which is a light variant of Hill Climb Modular Assembler Encoding (HCMAE). While HCMAE, as the name implies, is dedicated to modular neural networks, the target application of HCAE is to evolve small/mid-scale monolithic neural networks. HCAE is a light variant of HCMAE and it originates from both AE and AEEO. All the algorithms are based on three key components, i.e., a network definition matrix (NDM), which represents the neural networks, assembler encoding program (AEP), which operates on NDM, and evolutionary algorithm, whose task is to produce optimal AEPs, NDMs, and, consequently, the networks.
  • 739
  • 15 Aug 2022
Topic Review
Promoting AI Literacy for Children
The advancement of generative AI technologies underscores the need for AI literacy, particularly in elementary Science, Technology, Engineering, Art, and Mathematics (STEAM) education.
  • 738
  • 06 Dec 2023
Topic Review
Synthetic Datasets
With the consistent growth in the importance of machine learning and big data analysis, feature selection stands to be one of the most relevant techniques in the field. Extending into many disciplines, the use of feature selection in medical applications, cybersecurity, DNA micro-array data, and many more areas is witnessed. Machine learning models can significantly benefit from the accurate selection of feature subsets to increase the speed of learning and also to generalize the results. Feature selection can considerably simplify a dataset, such that the training models using the dataset can be “faster” and can reduce overfitting. Synthetic datasets were presented as a valuable benchmarking technique for the evaluation of feature selection algorithms.
  • 738
  • 20 Mar 2024
Topic Review
Color Image Denoising Methods for Impulse Noise
One of the most critical tasks in computer vision applications is image denoising, which involves recovering an image from a degraded noisy version. Impulse noise in digital images is a random variation in the intensity of pixels caused by short-duration pulses of high energy. This type of noise can significantly degrade the quality of images and poses various challenges in real-world applications. 
  • 737
  • 09 Jan 2024
Topic Review
Human Action Recognition Methods for Single-Modality Action Recognition
Human action recognition is widely used in computer vision research, such as intelligent video surveillance, intelligent human–computer interaction, robot control, video retrieval, pose estimation, and many other fields. Since the environments faced by human action recognition are diverse and complex, capturing effective features for action recognition is still a challenging problem.
  • 736
  • 19 May 2023
Topic Review
Fire and Smoke Detection
Wildfires are major natural disasters that can cause extensive damage to ecosystems and threaten human lives. It is an uncontrollable and destructive fire that rapidly spreads through vegetation, grasslands, or other flammable areas. Wildfires are typically triggered by a combination of factors, including the presence of abundant dry vegetation and favorable weather conditions like high temperatures, low humidity, and strong winds. The sources of ignition for wildfires are diverse and can range from natural causes like lightning strikes to human activities such as campfires, careless disposal of cigarettes, or even intentional acts of arson. Besides the destructive nature of wildfires, the smoke from wildfires can have severe human health risks and environmental consequences as it can contribute to air quality degradation, disrupt the balance of ecosystems, and even impact the behavior and survival of wildlife. Therefore, early fire and smoke detection are crucial.
  • 736
  • 12 Oct 2023
Topic Review
Intelligent Source Code Completion Assistants
As artificial intelligence advances, source code completion assistants are becoming more advanced and powerful. Existing traditional assistants are no longer up to all the developers’ challenges. Traditional assistants usually present proposals in alphabetically sorted lists, which does not make a developer’s tasks any easier (i.e., they still have to search and filter an appropriate proposal manually). As a possible solution to the presented issue, intelligent assistants that can classify suggestions according to relevance in particular contexts have emerged. Artificial intelligence methods have proven to be successful in solving such problems. Advanced intelligent assistants not only take into account the context of a particular source code but also, more importantly, examine other available projects in detail to extract possible patterns related to particular source code intentions. This is how intelligent assistants try to provide developers with relevant suggestions. 
  • 736
  • 17 Jan 2024
Topic Review
Multitask-based Shared Feature Learning
Speech emotion recognition (SER), a rapidly evolving task that aims to recognize the emotion of speakers, has become a key research area in affective computing. Various languages in multilingual natural scenarios extremely challenge the generalization ability of SER, causing the model performance to decrease quickly, and driving researchers to ask how to improve the performance of multilingual SER. To solve this problem, an explainable Multitask-based Shared Feature Learning (MSFL) model is proposed for multilingual SER. The introduction of multi-task learning (MTL) can provide related task information of language recognition for MSFL, improve its generalization in multilingual situations, and further lay the foundation for learning MSFs.
  • 735
  • 11 Jan 2023
Topic Review
Self-Supervised Representation Learning for Geographical Data
Self-supervised representation learning (SSRL) concerns the problem of learning a useful data representation without the requirement for labelled or annotated data. This representation can, in turn, be used to support solutions to downstream machine learning problems. SSRL has been demonstrated to be a useful tool in the field of geographical information science (GIS). 
  • 735
  • 16 Jun 2023
Topic Review
Artificial Intelligence Techniques in Concrete
Due to the speed of artificial intelligence (AI) techniques in solving engineering problems, there has been a tendency to use these techniques in various fields of civil engineering, including designing construction materials (concrete mixtures for example) or estimating their properties.  As it is hard to predict the compressive strength of concrete due to the different nonlinearities inherent in the mixture designs, various concrete companies are continuously looking to use new methods and technologies to predict the compressive strength. Such methods include numerical modelling and artificial intelligence due to their advantages. 
  • 735
  • 07 Oct 2023
Topic Review
Matrix Factorization for Enhancing Quality of Recommendations
Matrix factorization is a long-established method employed for analyzing and extracting valuable insight recommendations from complex networks containing user ratings. The execution time and computational resources demanded by these algorithms pose limitations when confronted with large datasets.
  • 735
  • 14 Nov 2023
Topic Review
Diagnosis of Monkeypox Disease Using Deep Learning
The virus that causes monkeypox has been observed in Africa for several years, and it has been linked to the development of skin lesions. Public panic and anxiety have resulted from the deadly repercussions of virus infections following the COVID-19 pandemic. Rapid detection approaches are crucial since COVID-19 has reached a pandemic level. 
  • 733
  • 03 Aug 2023
Topic Review
High-Fidelity Synthetic Face Generation for Rosacea Skin Condition
Similarly to the majority of deep learning applications, diagnosing skin diseases using computer vision and deep learning often requires a large volume of data. However, obtaining sufficient data for particular types of facial skin conditions can be difficult, due to privacy concerns. As a result, conditions like rosacea are often understudied in computer-aided diagnosis. The limited availability of data for facial skin conditions has led to the investigation of alternative methods of computer-aided diagnosis. Generative adversarial networks (GANs), mainly variants of StyleGANs, have demonstrated promising results in generating synthetic facial images.
  • 733
  • 14 Feb 2024
Topic Review
Approaches of Landslide Detection
Landslide detection can generally be categorized into two approaches: traditional methods of landslide identification and automatic identification methods based on machine learning algorithms. Traditional methods of landslide detection often rely on field surveys conducted by experienced geologists, complemented by instrumental imaging techniques for analysis. The second category predominantly utilizes pre-existing datasets of landslides and facilitates automatic identification through the construction of algorithmic models.
  • 730
  • 15 Aug 2023
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