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Topic Review
Deep Learning Techniques
Detecting and classifying vehicles as objects from images and videos is challenging in appearance-based representation, yet plays a significant role in the substantial real-time applications of Intelligent Transportation Systems (ITSs). The rapid development of Deep Learning (DL) has resulted in the computer-vision community demanding efficient, robust, and outstanding services to be built in various fields.
  • 860
  • 31 May 2023
Topic Review
CV and AI in Seaport Parking Space Allocation
Urban expansion has ushered in a landscape of opportunities and challenges across housing, transportation, education, health, and the economy. In response to these evolving dynamics, the application of artificial intelligence (AI) and computer vision (CV) technologies has emerged as a transformative solution. While smart traffic monitoring and advanced parking distribution systems have eased urban pressures, optimizing mobility remains pivotal in the context of burgeoning smart cities.
  • 860
  • 20 Sep 2023
Topic Review
Chinese Pause Fillers Prediction Module
The prediction of pause fillers plays a crucial role in enhancing the naturalness of synthesized speech. Neural networks, including LSTM, BERT, and XLNet, have been employed for pause fillers prediction modules.
  • 860
  • 07 Oct 2023
Topic Review
Hydroponic Monitoring and Controlling System Using ANFIS
Most people are now aware of the importance of a healthy lifestyle, including the importance of consuming vegetables. As a result, the demand for vegetables has increased, and so their production needs to be increased. Currently, most plantations use soil as a growing medium, which is time-consuming and requires a significant amount of space. To modernize cultivation, hydroponic techniques should be adopted. A smart hydroponic system was developed using the adaptive neuro-fuzzy inference system (ANFIS) method, which allows for automatic adjustments based on the collected dataset and remote control through internet of things (IoT) technology.
  • 860
  • 11 Jan 2024
Topic Review
Development in Vision-Based On-Road Behaviors Understanding
On-road behavior analysis is a crucial and challenging problem in the autonomous driving vision-based area. Several endeavors have been proposed to deal with different related tasks and it has gained wide attention recently. Much of the excitement about on-road behavior understanding has been the labor of advancement witnessed in the fields of computer vision, machine, and deep learning. Remarkable achievements have been made in the Road Behavior Understanding area over the last years.
  • 854
  • 18 Apr 2022
Topic Review
Input Enhancement (Computer Science)
In computer science, input enhancement is the principle that processing a given input to a problem and altering it in a specific way will increase runtime efficiency or space efficiency, or both. The altered input is usually stored and accessed to simplify the problem. By exploiting the structure and properties of the inputs, input enhancement creates various speed-ups in the efficiency of the algorithm.
  • 854
  • 02 Dec 2022
Topic Review
NSGA-PINN for Physics-Informed Neural Network Training
Non-dominated sorting genetic algorithm (NSGA)-Physics-informed neural networks (PINNs), a multi-objective optimization framework for the effective training of PINNs. 
  • 854
  • 10 Nov 2023
Topic Review
Recommendation Systems for e-Shopping
The interest in recommendation systems (RSs) has dramatically increased, as they have become main components of all online stores. The aims of an RS can be multifaceted, related not only to the increase in sales or the convenience of the customer, but may include the promotion of alternative environmentally friendly products or to strengthen policies and campaigns. In addition to accurate suggestions, important aspects of contemporary RSs are therefore to align with the particular marketing goals of the e-shop and with the stances of the targeted audience, ensuring user acceptance, satisfaction, high impact, and achieving sustained usage by customers.
  • 854
  • 21 Dec 2023
Topic Review
Federated Learning Algorithms for IoT
Federated Learning (FL) is a state-of-the-art technique used to build machine learning (ML) models based on distributed data sets. It enables In-Edge AI, preserves data locality, protects user data, and allows ownership. These characteristics of FL make it a suitable choice for IoT networks due to its intrinsic distributed infrastructure. However, FL presents a few unique challenges; the most noteworthy is training over largely heterogeneous data samples on IoT devices. The heterogeneity of devices and models in the complex IoT networks greatly influences the FL training process and makes traditional FL unsuitable to be directly deployed, while many recent research works claim to mitigate the negative impact of heterogeneity in FL networks, unfortunately, the effectiveness of these proposed solutions has never been studied and quantified.
  • 852
  • 27 May 2022
Topic Review
Exploration of Generative Artificial Intelligence
Generative Artificial Intelligence (GAI) has brought revolutionary changes to the world, enabling businesses to create new experiences by combining virtual and physical worlds. As the use of GAI grows along with the Metaverse, it is explored by academics, researchers, and industry communities for its endless possibilities.
  • 852
  • 23 Mar 2023
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.
  • 852
  • 17 Nov 2023
Topic Review
Pedestrian Identification and Classification in Autonomous Vehicles
Pedestrian detection is at the core of autonomous road vehicle navigation systems as they allow a vehicle to understand where potential hazards lie in the surrounding area and enable it to act in such a way that avoids traffic-accidents, which may result in individuals being harmed. This paper demonstrates that the use of image augmentation on training data can yield varying results. 
  • 850
  • 10 Jan 2022
Topic Review
Dementia Severity Scale Based on MRI
In the clinical treatment of Alzheimer’s disease, one of the most important tasks is evaluating its severity for diagnosis and therapy. However, traditional testing methods are deficient, such as their susceptibility to subjective factors, incomplete evaluation, low accuracy, or insufficient granularity, resulting in unreliable evaluation scores. 
  • 850
  • 11 Aug 2023
Topic Review
Object Detection of Remote Sensing Image
Remote sensing image object detection tasks play a pivotal role in the realm of airborne and satellite remote sensing imagery, representing invaluable applications. Remote sensing technology has witnessed remarkable progress, enabling the capture of copious details that inherently reflect the contours, hues, textures, and other distinctive attributes of terrestrial targets. It has emerged as an indispensable avenue for acquiring comprehensive knowledge about the Earth’s surface. The primary objective of remote sensing image object detection is to precisely identify and locate objects of interest within the vast expanse of remote sensing images. This task finds extensive implementation across significant domains, including military reconnaissance, urban planning, environmental monitoring, soil science, and maritime vessel surveillance. With the incessant advancement of observational techniques, the availability of high-quality remote sensing image datasets, encompassing richer and more intricate information, has unlocked immense developmental potential for the ongoing pursuit of remote sensing image object detection.
  • 850
  • 23 Oct 2023
Topic Review
Ontology-Based Regression Testing
Regression testing is a relevant research field focused on ensuring software works correctly after being modified or when new functionalities are added. The widespread use of information technology techniques has enabled the rapid development of applications.
  • 849
  • 04 Nov 2021
Topic Review
IoT and Sustainable Smart Cities
The Internet of Things (IoT) is an emerging technology and provides connectivity with the physical world using the support of 5G communication. In recent decades, there have been a lot of applications based on IoT technology for the sustainability of smart cities, such as farming, e-healthcare, education, smart homes, weather monitoring, etc. These applications communicate in a collaborative manner between embedded IoT devices and systematize daily routine tasks. However, it is observed that transmission system in constraint oriented network is still a burning research issue in smart cities. Also, there is an existence of a lot of malicious machines that can damage sustainable services of smart cities and compromised the connected devices. Thus, proposing an efficient solution using a 5G system is a demanding task for a smart environment that efficiently utilizes the communication resources and securing the data over insecure routes.
  • 848
  • 27 Aug 2021
Topic Review
KinectGaitNet
Gait recognition had gained a lot of attention in various research and industrial domains. These include remote surveillance, border control, medical rehabilitation, emotion detection from posture, fall detection, and sports training. The main advantages of identifying a person by their gait include unobtrusiveness, acceptance, and low costs. Researchers proposes a convolutional neural network KinectGaitNet for Kinect-based gait recognition. The 3D coordinates of each of the body joints over the gait cycle are transformed to create a unique input representation. The proposed KinectGaitNet is trained directly using the 3D input representation without the necessity of the handcrafted features. The KinectGaitNet design allows avoiding gait cycle resampling, and the residual learning method ensures high accuracy without the degradation problem.
  • 848
  • 20 Apr 2022
Topic Review
A Machine Learning-Based Sustainable University Field Training Framework
The proposed sustainable University Field Training (SUNFIT) is an educational data mining framework based on the pedagogical strategies of preparing, conducting, and assessing computing students’ skills in courses involving practical industry engagement.
  • 848
  • 29 May 2023
Topic Review
Artificial Intelligence and Radiomics Techniques
Hepatocellular carcinoma (HCC) is the most common primary hepatic neoplasm. Thanks to recent advances in computed tomography (CT) and magnetic resonance imaging (MRI), there is potential to improve detection, segmentation, discrimination from HCC mimics, and monitoring of therapeutic response. Radiomics, artificial intelligence (AI), and derived tools have already been applied in other areas of diagnostic imaging with promising results. 
  • 847
  • 30 Dec 2022
Topic Review
Steel Plates Faults Prediction Methods
Fault prediction is a vital task to decrease the costs of equipment maintenance and repair, as well as to improve the quality level of products and production efficiency. Steel plates fault prediction is a significant materials science problem that contributes to avoiding the progress of abnormal events.
  • 846
  • 03 Jul 2023
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