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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.
  • 764
  • 10 Nov 2023
Topic Review
Peripheral Blood Smears Examination by Artificial Intelligence
Artificial intelligence (AI) has emerged as a cutting-edge tool, simultaneously accelerating, securing, and enhancing the diagnosis and treatment of patients. An exemplification of this capability is evident in the analysis of peripheral blood smears (PBS). In university medical centers, hematologists routinely examine hundreds of PBS slides daily to validate or correct outcomes produced by advanced hematology analyzers assessing samples from potentially problematic patients. This process may logically lead to erroneous PBC readings, posing risks to patient health. AI functions as a transformative tool, significantly improving the accuracy and precision of readings and diagnoses.
  • 764
  • 27 Dec 2023
Topic Review
Development of AI in Surgery after SARS-CoV-2 Pandemic
SARS-CoV-2 has significantly transformed the healthcare environment, and it has triggered the development of electronic health and artificial intelligence mechanisms, for instance. 
  • 763
  • 04 Nov 2021
Topic Review
Intelligent Deep Learning in IoT Smart Home Networks
The Internet of Things (IoT) is the interconnection of sensors, machines, objects, or other computing devices over the internet to communicate with the least human interference. Specific types of sensors are involved in obtaining information from physical entities, and after analysis, it is stored in local storage, which is then sent to cloud storage, where appropriate action is taken according to the information.
  • 762
  • 03 Jan 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.
  • 762
  • 21 Sep 2023
Topic Review
DeepSeek
DeepSeek Artificial Intelligence Co., Ltd. (referred to as "DeepSeek" or "深度求索"), founded in 2023, is a Chinese company dedicated to making AGI (Artificial General Intelligence) a reality. Focused on advancing AI technologies, DeepSeek aims to develop systems with human-like adaptability and problem-solving capabilities, contributing to innovation across industries and shaping the future of intelligent systems.
  • 762
  • 06 Feb 2025
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.
  • 758
  • 19 May 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.
  • 757
  • 15 Mar 2022
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.
  • 755
  • 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. 
  • 754
  • 17 Jan 2024
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.
  • 753
  • 03 Jul 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.
  • 750
  • 16 Aug 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.
  • 750
  • 20 Mar 2024
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.
  • 749
  • 14 Nov 2023
Topic Review
Eye-Tracking-Based Trail-Making Test to Detect Cognitive Impairment
The growing number of people with cognitive impairment will significantly increase healthcare demand. Screening tools are crucial for detecting cognitive impairment due to a shortage of mental health experts aiming to improve the quality of life for those living with this condition. Eye tracking is a powerful tool that can provide deeper insights into human behavior and inner cognitive processes. The proposed Eye-Tracking-Based Trail-Making Test, ETMT, is a screening tool for monitoring a person’s cognitive function.
  • 748
  • 21 Aug 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. 
  • 747
  • 22 Dec 2023
Topic Review
Segmentation and Path Planning of Unmanned Ariel Vehicle
Unmanned aerial vehicles (UAVs), sometimes known as “drones”, are unmanned aircraft that can be flown without a pilot on board. Aircraft, ground control stations, and communications systems all fall under the umbrella term unmanned aircraft systems (UAS), which describes the infrastructure necessary for sophisticated drone operations. An autonomous drone is a UAV that can fly missions independently of a human pilot. It can take off, execute its task, and return to base without human assistance. Rather than relying on a human pilot, communications management software handles mission planning and flight control for autonomous drones.
  • 746
  • 15 Dec 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.
  • 744
  • 15 Aug 2022
Topic Review
Integration of Deep Learning into the IoT
The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating interconnected and intelligent devices across multifarious domains. The proliferation of IoT devices has resulted in an unprecedented surge of data, presenting formidable challenges concerning efficient processing, meaningful analysis, and informed decision making. Deep-learning (DL) methodologies, notably convolutional neural networks (CNNs), recurrent neural networks (RNNs), and deep-belief networks (DBNs), have demonstrated significant efficacy in mitigating these challenges by furnishing robust tools for learning and extraction of insights from vast and diverse IoT-generated data.
  • 744
  • 19 Dec 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. 
  • 743
  • 07 Oct 2023
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