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Topic Review
Point Cloud Semantic Segmentation
For autonomous vehicles driving in off-road environments, it is crucial to have a sensitive environmental perception ability. However, semantic segmentation in complex scenes remains a challenging task. Most current methods for off-road environments often have the problems of single scene and low accuracy. 
  • 582
  • 20 Oct 2023
Topic Review
Anterior and Inferior Myocardial Infarctions Using UWB Radar
Despite significant improvement in prognosis, myocardial infarction (MI) remains a major cause of morbidity and mortality around the globe. MI is a life-threatening cardiovascular condition that requires prompt diagnosis and appropriate treatment. The combination of ultra-wideband (UWB) radar and machine learning (ML) approaches has shown significant potential to improve the diagnosis of various medical conditions. 
  • 581
  • 15 Sep 2023
Topic Review
Time Optimization of Drones Using an Augmented Path
With the pandemic gripping the entire humanity and with uncertainty hovering like a black cloud over all our future sustainability and growth, it became almost apparent that though the development and advancement are at their peak, we are still not ready for the worst. New and better solutions need to be applied so that we will be capable of fighting these conditions. One such prospect is delivery, where everything has to be changed, and each parcel, which was passed people to people, department to department, has to be made contactless throughout with as little error as possible. Thus, the prospect of drone delivery and its importance came around with optimization of the existing system for making it useful in the prospects of delivery of important items like medicines, vaccines, etc. These modular AI-guided drones are faster, efficient, less expensive, and less power-consuming than the actual delivery. 
  • 578
  • 10 Dec 2021
Topic Review
Deep Learning for Alzheimer’s Disease Detection
Deep learning has become a prominent approach in Alzheimer’s disease (AD) detection using medical image data, incorporating modalities like positron emission tomography (PET) and magnetic resonance imaging (MRI). These advances in deep learning and multimodal imaging have improved AD detection accuracy and effectiveness, leveraging convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative modelling techniques. 
  • 578
  • 05 Mar 2024
Topic Review
Deep Learning Networks and YOHO English Speech Dataset
The rapid momentum of deep neural networks (DNNs) has yielded state-of-the-art performance in various machine-learning tasks using speaker identification systems. Speaker identification is based on the speech signals and the features that can be extracted from them.
  • 577
  • 07 Sep 2023
Topic Review
Expression-Guided Deep Joint Learning for Facial Expression Recognition
As one of the most fundamental tasks in face analysis, facial expression recognition (FER) plays an important role in understanding emotional states and intentions. FER also provides support in a variety of important societal applications, including intelligent security, fatigue surveillance, medical treatment, and consumer acceptance prediction. 
  • 577
  • 22 Sep 2023
Topic Review
Brain Tumor  Segmentation
Brain tumor segmentation plays a crucial role in the diagnosis, treatment planning, and monitoring of brain tumors. Accurate segmentation of brain tumor regions from multi-sequence magnetic resonance imaging (MRI) data is of paramount importance for precise tumor analysis and subsequent clinical decision making. The ability to delineate tumor boundaries in MRI scans enables radiologists and clinicians to assess tumor size, location, and heterogeneity, facilitating treatment planning and evaluating treatment response. Traditional manual segmentation methods are time-consuming, subjective, and prone to inter-observer variability. Therefore, the automatic segmentation algorithm has received widespread attention as an alternative solution. For instance, the self-organizing map (SOM) is an unsupervised exploratory data analysis tool that leverages principles of vector quantization and similarity measurement to automatically partition images into self-similar regions or clusters. Segmentation methods based on SOM have demonstrated the ability to distinguish high-level and low-level features of tumors, edema, necrosis, cerebrospinal fluid, and healthy tissue.
  • 577
  • 04 Mar 2024
Topic Review
Negotiation Protocol with Pre-Domain Narrowing
Consensus building among agents is crucial in multi-agent system because each agent acts independently according to its utility function, and conflict among agents can occur. Therefore, automated negotiation is an essential technology for efficiently resolving conflicts and forming consensuses while also keeping agents' privacy. As the domain to be negotiated is large, the computational cost of reaching a consensus increases and the agreement rate decreases. Some negotiation protocols have been proposed wherein a mediator collects the utility information of each agent and creates multiple alternatives of agreements to handle large-scale multi-issue negotiations. However, in such protocols, a limitation is placed on agents' privacy because all agents have to disclose their private information by following the mediator and predecided negotiation rules.
  • 576
  • 05 Jun 2023
Topic Review
Hybrid Multi-Label Classification Model for Medical Applications
Multi-label classification is typically used in different data mining applications, like labeling videos, images, music, and texts. Multi-label classification classifies documents into various classes simultaneously based on their properties.
  • 575
  • 16 Aug 2023
Topic Review
Hybrid Deep Belief Network in Traffic Flow Prediction
Accurate and timely traffic flow prediction not just allows traffic controllers to evade traffic congestion and guarantee standard traffic functioning, it even assists travelers to take advantage of planning ahead of schedule and modifying travel routes promptly. The presented hybrid deep belief network (AST2FP-OHDBN) model initially normalizes the traffic data using min–max normalization.
  • 574
  • 21 Nov 2022
Topic Review
Convolutional Neural Networks Applied to Face Mask Classification
The preventive measures taken to curb the spread of COVID-19 have emphasized the importance of wearing face masks to prevent potential infection with serious diseases during daily activities or for medical professionals working in hospitals. Due to the mandatory use of face masks, various methods employing artificial intelligence and deep learning have emerged to detect whether individuals are wearing masks.
  • 574
  • 24 Jan 2024
Topic Review
Particle Swarm Optimisation for Emotion Recognition Systems
Particle Swarm Optimisation (PSO) is a popular technique in the field of Swarm Intelligence (SI) that focuses on optimisation. Researchers have explored multiple algorithms and applications of PSO, including exciting new technologies, such as Emotion Recognition Systems (ERS), which enable computers or machines to understand human emotions.
  • 573
  • 26 Oct 2023
Topic Review
Smoke and Fire Detection Approaches
Forest fires rank among the costliest and deadliest natural disasters globally. Identifying the smoke generated by forest fires is pivotal in facilitating the prompt suppression of developing fires. Nevertheless, succeeding techniques for detecting forest fire smoke encounter persistent issues, including a slow identification rate, suboptimal accuracy in detection, and challenges in distinguishing smoke originating from small sources.
  • 571
  • 17 Nov 2023
Topic Review
Imaging Techniques Used in Fish Bioimages
Detecting skeletal or bone-related deformities in model and aquaculture fish is vital for numerous biomedical studies. In biomedical research, model fish with bone-related disorders are potential indicators of various chemically induced toxins in their environment or poor dietary conditions. In aquaculture, skeletal deformities are affecting fish health, and economic losses are incurred by fish farmers. 
  • 570
  • 09 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.
  • 569
  • 07 Oct 2023
Topic Review
Blockchain and Machine Learning-Based Hybrid IDS
The cyberspace is a convenient platform for creative, intellectual, and accessible works that provide a medium for expression and communication. Malware, phishing, ransomware, and distributed denial-of-service attacks pose a threat to individuals and organisations. To detect and predict cyber threats effectively and accurately, an intelligent system must be developed. Cybercriminals can exploit Internet of Things devices and endpoints because they are not intelligent and have limited resources.
  • 568
  • 19 Sep 2023
Topic Review
Contrast Enhancement-Based Preprocessing Process and Object Task Performance
Excessive lighting or sunlight can make it difficult to judge visually. The same goes for cameras that function like the human eye. In the field of computer vision, object tasks have a significant impact on performance depending on how much object information is provided. Light presents difficulties in recognizing objects, and recognition is not easy in shadows or dark areas. Light is one of the biggest factors that make it difficult to recognize the original shape of an object by lowering the object recognition rate.
  • 568
  • 13 Oct 2023
Topic Review
Deep-Learning and Privacy Techniques for Data-Driven Soft Sensors
The continuously increasing number of mobile devices actively being used in the world amounted to approximately 6.8 billion by 2022. Consequently, this implies a substantial increase in the amount of personal data collected, transported, processed, and stored. An integrated personal health data management system was designed and implemented, which considers data-driven software and hardware sensors, comprehensive data privacy techniques, and machine-learning-based algorithmic models. 
  • 568
  • 13 Mar 2023
Topic Review
Single-Image Super-Resolution
Single-image super-resolution (SISR) aims to reconstruct a high-resolution (HR) image from a low-resolution (LR) one. Among the state-of-the-art realistic image super-resolution (SR) intelligent algorithms, generative adversarial networks (GANs) have achieved impressive visual performance.
  • 567
  • 15 Nov 2023
Topic Review
The Role of AI in Renewable Energy
Renewable energy sources such as solar and wind power are becoming increasingly important as we seek to reduce our reliance on fossil fuels and mitigate the effects of climate change. At the same time, artificial intelligence (AI) is rapidly advancing and finding applications in a wide range of fields, including renewable energy. The role of AI in the future of renewable energy, including its potential to optimize energy systems, improve the efficiency of renewable energy technologies, and reduce maintenance costs were described. The open challenges and future directions for the use of AI in the renewable energy sector, as well as the countries that are pioneers in this field were discussed.
  • 566
  • 22 May 2023
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