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Topic Review
Financial Technologies
Financial technology (fintech) is an emerging field where novel technologies are used to improve the business operations or services offered by financial institutions and enterprises. Artificial intelligence (AI), blockchain, and cloud services have caused process disruption, while big data enables greater customer acquisition and retention. Together, these technologies have enhanced the use of interactive fintech agents in finance.  
  • 199
  • 14 Nov 2023
Topic Review
Technique for Searching Data
The growing popularity of data outsourcing to third-party cloud servers has a downside, related to the serious concerns of data owners about their security due to possible leakage. The desire to reduce the risk of loss of data confidentiality has become a motivating start to developing mechanisms that provide the ability to effectively use encryption to protect data. However, the use of traditional encryption methods faces a problem. Namely, traditional encryption, by making it impossible for insiders and outsiders to access data without knowing the keys, excludes the possibility of searching. 
  • 243
  • 14 Nov 2023
Topic Review
Blockchain-Based Federated Learning
Federated Learning (FL) is a distributed Deep Learning (DL) technique that creates a global model through the local training of multiple edge devices. It uses a central server for model communication and the aggregation of post-trained models. The central server orchestrates the training process by sending each participating device an initial or pre-trained model for training. To achieve the learning objective, focused updates from edge devices are sent back to the central server for aggregation. While such an architecture and information flows can support the preservation of the privacy of participating device data, the strong dependence on the central server is a significant drawback of this framework. Having a central server could potentially lead to a single point of failure. Further, a malicious server may be able to successfully reconstruct the original data, which could impact on trust, transparency, fairness, privacy, and security. Decentralizing the FL process can successfully address these issues. Integrating a decentralized protocol such as Blockchain technology into Federated Learning techniques will help to address these issues and ensure secure aggregation.
  • 189
  • 14 Nov 2023
Topic Review
Emotion Recognition Systems
Emotion recognition systems (ERS) are an emerging technology with immense potential, exemplifying the innovative utilization of artificial intelligence (AI) within the context of the fourth industrial revolution (IR 4.0). Given that personalization is a key feature of the fifth industrial revolution (IR 5.0), ERS has the potential to serve as an enabler for IR 5.0. Furthermore, the COVID-19 pandemic has increased the relevance of this technology as work processes were adapted for social distancing and the use of face masks. Even in the post-pandemic era, many individuals continue to wear face masks. Therefore, ERS offers a technological solution to address communication challenges in a masked world. The existing body of knowledge on ERS primarily focuses on exploring modalities or modes for emotion recognition, system development, and the creation of applications utilizing emotion recognition functions.
  • 157
  • 14 Nov 2023
Topic Review
Federated Learning for Clinical Event Classification
A novel approach to clinical event classification in healthcare using federated learning (FL) and cross-device ensemble models based on vital signs data from the MIMIC-IV dataset was presented. The FL structure allows training directly on each client's device, ensuring patient privacy. The proposed method achieves an impressive accuracy of 98.9%, highlighting the significant potential of FL and ensemble technology in handling sensitive patient data for healthcare applications.
  • 166
  • 14 Nov 2023
Topic Review
Blockchain Technology Used for Smart Drone Swarms
Intelligent drone technology is rapidly expanding, particularly in the defense industry. A swarm of drones can communicate, share data, and make the best decisions on their own. Drone swarms can swiftly and effectively carry out missions like surveillance, reconnaissance, and rescue operations, without exposing military troops to hostile conditions. The concept of leveraging blockchain technology to address problems with identification, security, and storage in UAV clusters is not new. There have been many approaches that have used novel methods to examine how we can use the benefits of blockchain technology to lessen these issues.
  • 393
  • 14 Nov 2023
Topic Review
Electrocardiogram-Based Emotion Recognition
Heart rate variability (HRV) serves as a significant physiological measure that mirrors the regulatory capacity of the cardiac autonomic nervous system. It not only indicates the extent of the autonomic nervous system’s influence on heart function but also unveils the connection between emotions and psychological disorders. 
  • 230
  • 14 Nov 2023
Topic Review
Internet of Everything
The Internet of Everything (IoE) represents a paradigm shift in the world of connectivity. While the Internet of Things (IoT) initiated the era of interconnected devices, the IoE takes this concept to new heights by interlinking objects, individuals, data, and processes. Symmetry in IoE innovation and technology is essential for creating a harmonious and efficient ecosystem to ensure that the benefits are accessible to a broad spectrum of society while minimizing potential drawbacks. 
  • 331
  • 14 Nov 2023
Topic Review
An Algorithm for Personalizing SSVEP-Based Brain-Computer Interfaces
Brain–computer interfaces (BCIs) based on steady-state visually evoked potentials (SSVEPs) are inexpensive and do not require user training. Researchers herein describe how the light frequency could be selected individually. In particular, this is done via the proposed discomfort index, determined by the ratio of theta and beta rhythms in the EEG signal.
  • 146
  • 14 Nov 2023
Topic Review
Securing ATM Payment Transactions
Credit/debit cards are a ubiquitous form of payment at present. They offer a number of advantages over cash, including convenience, security, and fraud protection. In contrast, the inherent vulnerabilities of credit/debit cards and transaction methods have led many payment institutions to focus on strengthening the security of these electronic payment methods. Also, the increasing number of electronic payment transactions around the world have led to a corresponding increase in the amount of money lost due to fraud and cybercrime. This loss of money has a significant impact on businesses and consumers, and it necessitates the development of rigid and robust security designs for securing underlying electronic transaction methods.
  • 177
  • 14 Nov 2023
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