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Topic Review
Arabic Mispronunciation Recognition System Using LSTM Network
The widespread use of CALL (computer-assisted language learning) systems attests to their success in helping people improve their language and speech skills. CALL is predominantly concerned with addressing pronunciation errors in non-native speakers’ speech. Accurate mispronunciation detection, voice recognition, and accurate pronunciation evaluation are all activities that may be accomplished with CALL.
  • 638
  • 05 Sep 2023
Topic Review
Metaverse and AI for Internet of City Things
The Metaverse represents an always-on 3D network of virtual spaces, designed to facilitate social interaction, learning, collaboration, and a wide range of activities. This emerging computing platform originates from the dynamic convergence of Extended Reality (XR), Artificial Intelligence of Things (AIoT), and platform-mediated everyday life experiences in smart cities. However, the research community faces a pressing challenge in addressing the limitations posed by the resource constraints associated with XR-enabled IoT applications within the Internet of City Things (IoCT). Additionally, there is a limited understanding of the synergies between XR and AIoT technologies in the Metaverse and their implications for IoT applications within this framework. 
  • 638
  • 22 Sep 2023
Topic Review
J48SS
Interpretable decision tree model based on C4.5 capable of seamlessly using numerical, categorical, sequential, and time series information for classification purposes.
  • 634
  • 15 Apr 2021
Topic Review
Spatio-Temporal Hybrid Neural Network
The prediction of crowd flow in key urban areas is an important basis for city informatization development and management. Timely understanding of crowd flow trends can provide cities with data support in epidemic prevention, public security management, and other aspects. The model uses the Node2Vec graph embedding algorithm combined with LSTM (NDV-LSTM) to predict crowd flow.
  • 634
  • 26 May 2023
Topic Review
Green Artificial Intelligence and Digitalization Facilitate
Green AI (Artificial Intelligence) and digitalization facilitate the “Dual-Carbon” goal of low-carbon, high-quality economic development. Green AI is moving from “cloud” to “edge” devices like TinyML, which supports devices from cameras to wearables, offering low-power IoT computing. 
  • 634
  • 26 Sep 2023
Topic Review
Autonomous Multi-Defect Segmentation in Electroluminescence Images
A robust and efficient segmentation framework is essential for accurately detecting and classifying various defects in electroluminescence images of solar photovoltaic (PV) modules. With the increasing global focus on renewable energy resources, solar PV energy systems are gaining significant attention. The inspection of PV modules throughout their manufacturing phase and lifespan requires an automatic and reliable framework to identify multiple micro-defects that are imperceptible to the human eye. 
  • 634
  • 26 Feb 2024
Topic Review
Spatiality Sensitive Learning for Cancer Metastasis Detection
Metastasis detection in lymph nodes via microscopic examination of histopathological images is one of the most crucial diagnostic procedures for breast cancer staging. The manual analysis is extremely labor-intensive and time-consuming because of complexities and diversities of histopathology images. Deep learning has been utilized in automatic cancer metastasis detection in recent years. Due to the huge size of whole-slide images, most existing approaches split each image into smaller patches and simply treat these patches independently, which ignores the spatial correlations among them.
  • 631
  • 08 Sep 2022
Topic Review
Automatic DoS/DDoS Attacks Detection in Software-Defined Networks
Software-defined networks (SDNs) are becoming increasingly popular due to their centralized control and flexibility, but this also makes them a target for cyberattacks. Detecting DoS/DDoS attacks in SDNs is a challenging task due to the complex nature of the network traffic.
  • 631
  • 08 Jan 2024
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. 
  • 630
  • 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.
  • 630
  • 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. 
  • 629
  • 05 Jun 2023
Topic Review
AutoML with Bayesian Optimizations for Big Data Management
The field of automated machine learning (AutoML) has gained significant attention in recent years due to its ability to automate the process of building and optimizing machine learning models.
  • 629
  • 03 Nov 2023
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.
  • 629
  • 21 Dec 2023
Topic Review
Keystroke Dynamics as a Language Profiling Tool
Understanding the distinct characteristics of unidentified Internet users is helpful in various contexts, including digital forensics, targeted advertising, and user interaction with services and systems. Keystroke dynamics (KD) enables the analysis of data derived from a user’s typing behaviour on a keyboard as one approach to obtain such information. 
  • 625
  • 20 Oct 2023
Topic Review
Sentiment Analysis of Comment Texts
With information technology pushing the development of intelligent teaching environments, the online teaching platform emerges timely around the globe, and how to accurately evaluate the effect of the “any-time and anywhere” teacher–student interaction and learning has become one of the hotspots of today’s education research. Bullet chatting in online courses is one of the most important ways of interaction between teachers and students. The feedback from the students can help teachers improve their teaching methods, adjust teaching content, and schedule in time so as to improve the quality of their teaching. 
  • 625
  • 27 Nov 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.
  • 624
  • 23 Nov 2023
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.
  • 623
  • 01 Jun 2023
Topic Review
Challenge of  UAV-Based Vehicle Re-Identification
Vehicle re-identification research under surveillance cameras has yielded impressive results. However, the challenge of unmanned aerial vehicle (UAV)-based vehicle re-identification (ReID) presents a high degree of flexibility, mainly due to complicated shooting angles, occlusions, low discrimination of top–down features, and significant changes in vehicle scales. 
  • 623
  • 06 Nov 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.
  • 623
  • 04 Mar 2024
Topic Review
The Evolutionary Computation Models of Air Pollution
Air pollution is a pressing concern in urban areas, necessitating the critical monitoring of air quality to understand its implications for public health. Internet of Things (IoT) devices are widely utilized in air pollution monitoring due to their sensor capabilities and seamless data transmission over the Internet. Artificial intelligence (AI) and machine learning techniques play a crucial role in classifying patterns derived from sensor data. Environmental stations offer a multitude of parameters that can be obtained to uncover hidden patterns showcasing the impact of pollution on the surrounding environment.
  • 621
  • 24 Jul 2023
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