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Topic Review
Kidney Transplant Care through the Integration of Chatbot
Kidney transplantation is a critical treatment option for end-stage kidney disease patients, offering improved quality of life and increased survival rates. However, the complexities of kidney transplant care necessitate continuous advancements in decision making, patient communication, and operational efficiency. 
  • 792
  • 23 Feb 2024
Topic Review
AI Applications in Plant Genomic Prediction
Artificial intelligence (AI), boosted through deep learning (DL), has achieved significant breakthroughs and is a powerful tool for managing large complex datasets such as crop genetic markers genome and their association with crop phenotypes. AI techniques can be applied to analyze large amounts of genomic data and identify patterns that are difficult for humans to detect. These patterns can then be used to develop more accurate predictive models. 
  • 791
  • 05 May 2023
Topic Review
Malware Detection Method for with ViT Attention Mechanism
Artificial intelligence (AI) is increasingly being utilized in cybersecurity, particularly for detecting malicious applications. However, the black-box nature of AI models presents a significant challenge. This lack of transparency makes it difficult to understand and trust the results. In order to address this, it is necessary to incorporate explainability into the detection model. There is insufficient research to provide reasons why applications are detected as malicious or explain their behavior.
  • 791
  • 24 Jul 2023
Topic Review
Speech Emotion Recognition
Speech is the most natural way of human communication. Affective computing systems based on speech play an important role in promoting human–computer interaction, and emotion recognition is the first step. Due to the lack of a precise definition of emotion and the inclusive and complex influence of emotion generation and expression, accurately recognizing speech emotions is still difficult. Speech emotion recognition (SER) is an important problem that is receiving increasing interest from researchers due to its numerous applications, such as e-learning, clinical trials, audio monitoring/surveillance, lie detection, entertainment, video games, and call centers.
  • 791
  • 25 Jan 2024
Topic Review
Self-Supervised Transfer Learning for Fine-Grained Image Recognition
Fine-grained image recognition aims to classify fine subcategories belonging to the same parent category, such as vehicle model or bird species classification. This is an inherently challenging task because a classifier must capture subtle interclass differences under large intraclass variances. Most previous approaches are based on supervised learning, which requires a large-scale labeled dataset. However, such large-scale annotated datasets for fine-grained image recognition are difficult to collect because they generally require domain expertise during the labeling process. Researchers propose a self-supervised transfer learning method based on Vision Transformer (ViT) to learn finer representations without human annotations. Interestingly, it is observed that existing self-supervised learning methods using ViT (e.g., DINO) show poor patch-level semantic consistency, which may be detrimental to learning finer representations. Motivated by this observation, researchers propose a consistency loss function that encourages patch embeddings of the overlapping area between two augmented views to be similar to each other during self-supervised learning on fine-grained datasets.
  • 790
  • 07 Oct 2023
Topic Review
Single-Image Super-Resolution Neural Network
Single-image super-resolution (SISR) seeks to reconstruct a high-resolution image with the high-frequency information (meaning the details) restored from its low-resolution counterpart.
  • 789
  • 01 Mar 2022
Topic Review
AI-Informed Decision Making
AI-assisted decision-making that impacts individuals raises critical questions about transparency and fairness in artificial intelligence (AI). Much research has highlighted the reciprocal relationships between the transparency/explanation and fairness in AI-assisted decision-making. Thus, considering their impact on user trust or perceived fairness simultaneously benefits responsible use of socio-technical AI systems, but currently receives little attention.
  • 789
  • 01 Jul 2022
Topic Review
An Improved Modulation Recognition Algorithm
Modulation recognition is an important technology in wireless communication systems. Deep learning-based modulation recognition algorithms, which can autonomously learn deep features and achieve superior recognition performance compared with traditional algorithms.
  • 786
  • 19 May 2023
Topic Review
Indoor Hydroponic Greenhouses
Indoor hydroponic greenhouses are becoming increasingly popular for sustainable food production. On the other hand, precise control of the climate conditions inside these greenhouses is crucial for the success of the crops. Time series deep learning models are adequate for climate predictions in indoor hydroponic greenhouses, but a comparative analysis of these models at different time intervals is needed.
  • 785
  • 26 Jun 2023
Topic Review
Taxonomy of Machine Learning Methods for Urban Applications
Machine Learning (ML) as an intersection of informatics and statistics is a promising challenge for more evidence-based decisions to fill in the gap of existing technological tools and instruments for spatiotemporal requirements. As ML transcended the conventional techniques of modeling, a huge potential of big data management to address complex city problems is presented at the crossroads of modern urban planning challenges to make up their dynamics. Generally speaking, the ML methods are categorized based on the type of ‘learning’.
  • 781
  • 10 Jan 2023
Topic Review
ADX (File Format)
CRI ADX is a lossy proprietary audio storage and compression format developed by CRI Middleware specifically for use in video games; it is derived from ADPCM. Its most notable feature is a looping function that has proved useful for background sounds in various games that have adopted the format, including many games for the Sega Dreamcast as well as some PlayStation 2, GameCube and Wii games. One of the first games to use ADX was Burning Rangers, on the Sega Saturn. Notably, the Sonic the Hedgehog series from the Dreamcast generation up to at least Shadow the Hedgehog have used this format for sound and voice recordings. Jet Set Radio Future for original Xbox also used this format. On top of the main ADPCM encoding, the ADX toolkit also includes a sibling format, AHX, which uses a variant of MPEG-2 audio intended specifically for voice recordings and a packaging archive, AFS, for bundling multiple CRI ADX and AHX tracks into a single container file. Version 2 of the format (ADX2) uses the HCA and HCA-MX extension, which are usually bundled into a container file with the extensions ACB and AWB. The AWB extension is not to be confused with the Audio format with the same extension and mostly contains the binary data for the HCA files.
  • 780
  • 29 Sep 2022
Topic Review
Knowledge Graph Entity Alignment
The objective of the entity alignment (EA) task is to identify entities with identical semantics across distinct knowledge graphs (KGs) situated in the real world, which has garnered extensive recognition in both academic and industrial circles.
  • 779
  • 31 May 2023
Topic Review
Relevant Approaches of Zero Trust Network Model
Zero Trust Architecture research is now in its early stages, with a primary focus on the framework itself, access control, algorithms of trust evaluation, and identity authentication. These are the primary study domains within the Zero Trust field.
  • 779
  • 29 Feb 2024
Topic Review
Augmented Reality-Artificial Intelligence Tools in Manufacturing
An important research area in the field of Industry 4.0 is to find a user-interface that is as convenient and intuitive to use as possible to ensure optimal human–machine interaction. Augmented Reality (AR) together with Advanced Image Recognition, powered by Artificial Intelligence (AI) seem to be a set of technologies supportive in this topic. Apart from user friendly interface, AR-AI tools are proved to provide time savings in manufacturing tasks, while simplifying the job at the same time, enabling inexperienced, unskilled, or less skilled employees to perform the work in the selected manual production processes.
  • 777
  • 24 Jun 2022
Topic Review
Diffusion-Based Method for Pavement Crack Detection
Pavement crack detection is of significant importance in ensuring road safety and smooth traffic flow. However, pavement cracks come in various shapes and forms which exhibit spatial continuity, and algorithms need to adapt to different types of cracks while preserving their continuity. Some studies have already applied the feature learning capability of generative models to crack detection. 
  • 777
  • 01 Apr 2024
Topic Review
Anti-Aliasing Attention U-net Model for Skin Lesion Segmentation
The need for a lightweight and reliable segmentation algorithm is critical in various biomedical image-prediction applications. However, the limited quantity of data presents a significant challenge for image segmentation. Additionally, low image quality negatively impacts the efficiency of segmentation, and previous deep learning models for image segmentation require large parameters with hundreds of millions of computations, resulting in high costs and processing times.
  • 776
  • 31 Jul 2023
Topic Review
EfficientNetV2 and Transfer Learning Applied to Nursing Homes
In the context of population aging, to reduce the run on public medical resources, nursing homes need to predict the health risks of the elderly periodically. However, there is no professional medical testing equipment in nursing homes. In the current disease risk prediction research, many datasets are collected by professional medical equipment. In addition, the currently researched models cannot be run directly on mobile terminals.
  • 774
  • 27 Jun 2023
Topic Review
Algorithms for Facial Expression Recognition in the Wild
Facial expression recognition (FER) in the wild has attracted much attention due to its wide range of applications. Approaches use deep learning models trained on relatively large images, which significantly reduces their accuracy when they have to infer low-resolution images.
  • 774
  • 22 Sep 2023
Topic Review
Mass Appraisal Models of Real Estate Tax Value
Artificial neural network (ANN)-based analysis can reveal differences in tax leakage loss rates in different geographical regions of countries. Experts can adjust a region’s valuation data based on property tax leakage loss rates. Appraisers can contribute to solving the problem by highlighting areas with high tax leakage loss rates and communicating their findings to valuation stakeholders, local administrators, and policymakers. This can lead to more fair and efficient tax policies that benefit the real estate sector and the economy.
  • 774
  • 23 Oct 2023
Topic Review
AI-Supported Programming Tasks
AI-assisted programming or development is defined as the utilization of machine learning models trained on the vast amount of available source code. Its purpose is to support various aspects of programming and, more broadly, software engineering implementation tasks. 
  • 774
  • 19 Feb 2024
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