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Topic Review
Biography
Topic Review
A Patch-Based CNN Built on the VGG-16 Architecture
Facial recognition is a prevalent method for biometric authentication that is utilized in a variety of software applications. This technique is susceptible to spoofing attacks, in which an imposter gains access to a system by presenting the image of a legitimate user to the sensor, hence increasing the risks to social security. Consequently, facial liveness detection has become an essential step in the authentication process prior to granting access to users. A patch-based convolutional neural network (CNN) with a deep component for facial liveness detection for security enhancement was developed, which was based on the VGG-16 architecture.
635
13 Sep 2022
Topic Review
A Proactive Protection by Computational Intelligence Methods
A combination of computational intelligence methods: identifying anomalies in network traffic by evaluating its self-similarity, detecting and classifying cyberattacks in anomalies, and taking effective protection measures using Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) cells.
378
25 Oct 2022
Topic Review
A Promising Downsampling Alternative in a Neural Network
Downsampling, which aims to improve computational efficiency by reducing the spatial resolution of feature maps, is a critical operation in neural networks. Upsampling also plays an important role in neural networks. It is often used for image super-resolution, segmentation, and generation tasks via the reconstruction of high-resolution feature maps during the decoding stage in the neural network.
294
04 Dec 2023
Topic Review
A Robust Vehicle Detection Model for LiDAR Sensor
Vehicle detection in parking areas provides the spatial and temporal utilisation of parking spaces. Parking observations are typically performed manually, limiting the temporal resolution due to the high labour cost.
355
15 Jun 2023
Topic Review
A Rule-Based Grapheme-to-Phoneme Conversion System
Natural language processing often requires grapheme-to-phoneme (G2P) conversion of an orthographic text. G2P converts strings of graphemes to corresponding sequences of phonetic transcription characters, directly from orthographic representations and it is crucial for many applications in various areas of speech and language processing.
855
25 Mar 2022
Topic Review
A Scalogram-Based CNN Approach for Audio Classification
The automatic monitoring of activities in construction sites through the proper use of acoustic signals is a recent field of research that is currently in continuous evolution. In particular, the use of techniques based on Convolutional Neural Networks (CNNs) working on the spectrogram of the signal or its mel-scale variants was demonstrated to be quite successful. However, the spectrogram has some limitations, which are due to the intrinsic trade-off between temporal and spectral resolutions. In order to overcome these limitations, CNNs can employ the scalogram representation, as a proper time–frequency representation of the audio signal.
344
29 Dec 2023
Topic Review
A Simpler Look at Mobile App Development's Future
The world of mobile applications is on the cusp of a transformative era. The arrival of 5G technology, with its mind-blowing speeds and ultra-low latency, promises to revolutionize the way we interact with our devices and experience the digital world.
161
29 May 2024
Topic Review
A Smart Grid and the Vehicle-to-Grid/Grid-to-Vehicle Problem
The smart grid constitutes an important emerging application domain for artificial intelligence and multiagent systems (MAS). In the smart grid, energy and information both flow over electricity distribution and transmission networks in all possible directions. As such, buildings, as well as electric vehicles (EVs), become active energy consumers and/or producers, and the need for their effective integration into the system arises. Not only is the smart grid an electricity network with diverse consumers and producers, it is also a dynamic marketplace where heterogeneous devices appear and need to connect and interoperate.
204
17 Jan 2024
Topic Review
A Smarter Health through Internet of Surgical Things
To systematically study the technological advances in a particular sector, attributed to the utilization of the Internet, the term “Internet of Things” (IoT) was introduced. The present systematic review, aims to present and analyze the modern applications of the IoT within the surgical world. While not strictly defined, IoT describes a network of Internet-based connected things equipped with (embedded) sensing and actuating devices, with data production, processing, and consumption abilities. The utilization of the Internet and IoT in medical practice can take many shapes and forms. Ranging from the awe-inspiring telesurgical procedures to complex AI machine learning applications that aid in medical decision making , to a simple email containing a preoperative CT scan, the Internet of Surgical Things (IoST) is here to stay.
1.1K
04 Jul 2022
Topic Review
A Stakeholder-Specific View on Impact Sourcing
Impact Sourcing is the outsourcing of activities to disadvantaged social groups in order to help them become participants of the globalized digital world and thus benefit from higher incomes and wealth creation.
496
23 Nov 2022
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