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Topic Review
Advancing Glaucoma Care
Glaucoma, the leading cause of irreversible blindness worldwide, comprises a group of progressive optic neuropathies requiring early detection and lifelong treatment to preserve vision. Artificial intelligence (AI) technologies are now demonstrating transformative potential across the spectrum of clinical glaucoma care.
  • 205
  • 30 Jan 2024
Topic Review
Future Healthcare with Ambient Intelligence and IoMT
Imagine technology that is perceptive, adaptable, and perfectly in tune with human needs. This is the promise of Ambient Intelligence (AMI), a groundbreaking advancement in IT with transformative potential across various domains, especially healthcare. By merging the power of Artificial Intelligence (AI) with the Internet of Medical Things (IoMT), AMI creates a dynamic and responsive medical environment. The survey dives deep into the integration of AMI techniques in IoMT, providing essential insights for both researchers and practitioners eager to innovate in the healthcare sector. 
  • 205
  • 19 Jun 2024
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.
  • 204
  • 16 Jan 2024
Topic Review
Application of Machine Learning in Arrhythmia Association
Cardiac arrhythmias, characterized by deviations from the normal rhythmic contractions of the heart, pose a formidable diagnostic challenge. Early and accurate detection remains an integral component of effective diagnosis, informing critical decisions made by cardiologists. The application of machine learning (ML) for electrocardiogram (ECG) data analysis holds significant promise in the development of prognostic and diagnostic computer-assisted diagnosis (CAD) systems. ECG CAD systems can serve as a valuable tool for medical professionals, facilitating objective diagnosis. The association between different ECG records can be established through supervised, semi-supervised, or unsupervised ML approaches.
  • 202
  • 29 Jan 2024
Topic Review
Confusion Analysis in Learning Based on EEG Signals
Human–computer interaction (HCI) plays a significant role in modern education, and emotion recognition is essential in the field of HCI. The potential of emotion recognition in education remains to be explored. Confusion is the primary cognitive emotion during learning and significantly affects student engagement. Electroencephalogram (EEG) signals, obtained through electrodes placed on the scalp, are valuable for studying brain activity and identifying emotions. 
  • 201
  • 08 Dec 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.
  • 201
  • 29 Feb 2024
Topic Review
Skeletal Fracture Detection with Deep Learning
Deep learning models have shown great promise in diagnosing skeletal fractures from X-ray images. Deep learning algorithms are always applied in X-rays and CT image processing, such as assessing the mineral bone density (BMD), detecting bone fractures, and recommending treatment 
  • 200
  • 26 Oct 2023
Topic Review
Continually Improving the Performance of Autonomous Game Agents
Deep Reinforcement Learning (DRL) has been effectively performed in various complex environments, such as playing video games. In many game environments, DeepMind’s baseline Deep Q-Network (DQN) game agents performed at a level comparable to that of humans. However, these DRL models require many experience samples to learn and lack the adaptability to changes in the environment and handling complexity
  • 199
  • 09 Nov 2023
Topic Review
Semantic Video Segmentation
Recent approaches for fast semantic video segmentation have reduced redundancy by warping feature maps across adjacent frames, greatly speeding up the inference phase. Researchers build a non-key-frame CNN, fusing warped context features with current spatial details. Based on the feature fusion, the context feature rectification (CFR) module learns the model’s difference from a per-frame model to correct the warped features. 
  • 198
  • 22 Nov 2023
Topic Review
CISA: Context Substitution for Image Semantics Augmentation
Context is essential for generic neural networks. In Computer Vision background defines context. Therefore, smart background substitution can improve the generalization capability of a trained model. 
  • 197
  • 18 Oct 2023
Topic Review
Dynamic Distributed Intelligence Architecture for Human Activity Recognition
A wide range of applications, including sports and healthcare, use human activity recognition (HAR). The Internet of Things (IoT), using cloud systems, offers enormous resources but produces high delays and huge amounts of traffic. Researchers propose a distributed intelligence and dynamic HAR architecture using smart IoT devices, edge devices, and cloud computing. These systems were used to train models, store results, and process real-time predictions. Wearable sensors and smartphones were deployed on the human body to detect activities from three positions; accelerometer and gyroscope parameters were utilized to recognize activities. A dynamic selection of models was used, depending on the availability of the data and the mobility of the users.
  • 197
  • 12 Jan 2024
Topic Review
Techniques for Credit Card Fraud Detection
Fraudulent activities are on the rise within the financial sector, with an escalating trend observed in credit card fraud. The incidence of credit card fraud is expanding swiftly in tandem with the increasing daily usage of credit cards. The Federal Trade Commission (FTC) report underscores the severity of the issue, noting that 2021 marked the most challenging year in history for identity theft. It is crucial to note that many cases of identity theft go unreported, suggesting that the actual number may surpass the reported figures. The FTC report emphasises the need for innovative approaches to safeguard the financial well-being of both consumers and businesses. In the era of digital advancements, the escalation of credit card fraud necessitates the development of robust and efficient fraud detection systems. 
  • 196
  • 17 Jan 2024
Topic Review
Business Purchase Prediction Based on Artificial Intelligence
An architecture of a machine learning time series prediction system for business purchase prediction based on neural networks and enhanced with Explainable artificial intelligence (XAI) techniques is proposed. The architecture is implemented on an example of a system for predicting the following purchases for time series using Long short-term memory (LSTM) neural networks and Shapley additive explanations (SHAP) values. Explanations generated by the XAI module are provided with the prediction results to the user to allow them to understand the system’s decisions.
  • 194
  • 15 Nov 2023
Topic Review
Enhanced Cross-Domain Named Entity Recognition
Cross-domain named entity recognition (NER) is a crucial task in various practical applications, particularly when faced with the challenge of limited data availability in target domains. Existing methodologies primarily depend on feature representation or model parameter sharing mechanisms to enable the transfer of entity recognition capabilities across domains. 
  • 194
  • 12 Jan 2024
Topic Review
Machine Learning Applications in Agriculture
Progress in agricultural productivity and sustainability hinges on strategic investments in technological research. Evolving technologies such as the Internet of Things, sensors, robotics, Artificial Intelligence, Machine Learning, Big Data, and Cloud Computing are propelling the agricultural sector towards the transformative Agriculture 4.0 paradigm. 
  • 191
  • 08 Dec 2023
Topic Review
Lightweight Multi-Target Recognition Model for Live Streaming Scenes
The commercial potential of live e-commerce is being continuously explored, and machine vision algorithms are gradually attracting the attention of marketers and researchers. During live streaming, the visuals can be effectively captured by algorithms, thereby providing additional data support.
  • 190
  • 29 Dec 2023
Topic Review
Trustworthy Artificial Intelligence
Artificial Intelligence is an indispensable element of the modern world, constantly evolving and contributing to the emergence of new technologies. Artificial Intelligence techniques must inspire users’ trust because they significantly impact virtually every industry and person. For this reason, systems using Artificial Intelligence are subject to many requirements to verify their trustworthiness in various aspects.
  • 190
  • 30 Jan 2024
Topic Review
Methods Based on Software-Defined Networks
With the rapid advancement of the Internet of Things (IoT), there is a global surge in network traffic. Software-Defined Networks (SDNs) provide a holistic network perspective, facilitating software-based traffic analysis, and are more suitable to handle dynamic loads than a traditional network. The standard SDN architecture control plane has been designed for a single controller or multiple distributed controllers; however, a logically centralized single controller faces severe bottleneck issues. 
  • 190
  • 04 Mar 2024
Topic Review
Heterogeneous Federated Learning via Relational Adaptive Distillation
As the development of the Internet of Things (IoT) continues, Federated Learning (FL) is gaining popularity as a distributed machine learning framework that does not compromise the data privacy of each participant. However, the data held by enterprises and factories in the IoT often have different distribution properties (Non-IID), leading to poor results in their federated learning.
  • 188
  • 13 Oct 2023
Topic Review
Deep Learning in Distinguishing Bladder Cancer from Cystitis
Urinary tract cancers are considered life-threatening conditions worldwide, and Bladder Cancer is one of the most malignant urinary tract tumors. Bladder Cancer is a heterogeneous disease; the main symptom is painless hematuria. However, patients with Bladder Cancer may initially be misdiagnosed as Cystitis or infection, and cystoscopy alone may sometimes be misdiagnosed as urolithiasis or Cystitis, thereby delaying medical attention. Early diagnosis of Bladder Cancer is the key to successful treatment.
  • 186
  • 13 Nov 2023
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