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Topic Review
Biography
Topic Review
AI-Based Unmanned Aerial Vehicles Networks
To enhance the overall performance of the unmanned aerial vehicles (UAVs) networks and to address some specific problems, new features in the network are being designed as autonomous features. This approach not only provides optimum solutions for the targeted problems but also supports the dynamic properties of a UAV network.
346
07 Jun 2023
Topic Review
Weakly Supervised and Unsupervised Methods in Plant Segmentation
Plant segmentation is a challenging computer vision task due to plant images complexity. We need to distinguish plant parts rather than the whole plant. The major complication of multi-part segmentation is the absence of well-annotated datasets. It is very time-consuming and expensive to annotate datasets manually on the object parts level.
346
04 Aug 2023
Topic Review
DDoS Detection Using DL Models and Explanation Methods
With the rise of distributed denial of service (DDoS) attacks, several machine learning-based attack detection models have been used to mitigate malicious behavioral attacks. Understanding how machine learning models work is not trivial. This is particularly true for complex and nonlinear models, such as deep learning models that have high accuracy. The struggle to explain these models creates a tension between accuracy and explanation. Different methods have been used to explain deep learning models and address ambiguity issues.
346
25 Aug 2023
Topic Review
Carbonate Reservoirs Permeability Prediction
Permeability is a crucial property that can be used to indicate whether a material can hold fluids or not. Predicting the permeability of carbonate reservoirs is always a challenging and expensive task while using traditional techniques. Traditional methods often demand a significant amount of time, resources, and manpower, which are sometimes beyond the limitations of under developing countries.
346
10 Oct 2023
Topic Review
Machine Vision and Industry 4.0 to Industry 5.0
With the emergence of artificial intelligence (AI) and its integration into various intelligent robotics, the Fourth Industrial Revolution, also known as Industry 4.0, managed to trigger changes. Its need has been emphasized in multiple situations, such as that of the COVID-19 pandemic, entering every area of human life, with Industry 4.0 being more and more involved in production processes. Industry 4.0 is an emerging concept that is multidisciplinary and complex. Leveraging not just one, but a patchwork of technologies that can work individually as well as in combination, Industry 4.0 strives to achieve a more general digital transformation with high expectations both in the production of products and services in real-time. This effort is mainly based on advanced computers with fast processors able to store, manage, process, and analyze a large amount of data, spending less time and resources than ever before.
346
08 Mar 2024
Topic Review
AutoPatcher
AutoPatcher is an offline updater and alternative to Microsoft Update that can be used for installing software patches, service packs and other updates for certain Microsoft Windows systems. It allows these to be downloaded on a different machine or in advance, and then installed without an internet connection. By doing this, system updates can be automated and scripted, time and bandwidth required to download relevant updates is reduced, and exposure of unsecured systems online can be avoided. AutoPatcher also allows installation of some common additional software, registry settings, and patches for other Microsoft software, notably Microsoft Office. AutoPatcher currently exists for Windows 2000, XP, Vista, 7, 8, 10 and some server equivalents (Windows 2003 and 2008). For some years it did not provide support for Windows 7 or older systems, nor for some 64 bit operating systems; updates are now possible for some of these in the 2014 version of Autopatcher. Originally software patches were distributed with AutoPatcher but, following legal complaints the software was modified in 2007. It now downloads all patches to a local hard drive from Microsoft's servers (ensuring the files are original and unmodified) and then allows their offline use as before.
345
12 Oct 2022
Topic Review
Multitask-based Shared Feature Learning
Speech emotion recognition (SER), a rapidly evolving task that aims to recognize the emotion of speakers, has become a key research area in affective computing. Various languages in multilingual natural scenarios extremely challenge the generalization ability of SER, causing the model performance to decrease quickly, and driving researchers to ask how to improve the performance of multilingual SER. To solve this problem, an explainable Multitask-based Shared Feature Learning (MSFL) model is proposed for multilingual SER. The introduction of multi-task learning (MTL) can provide related task information of language recognition for MSFL, improve its generalization in multilingual situations, and further lay the foundation for learning MSFs.
345
11 Jan 2023
Topic Review
Efficient Fingerprinting Attack on Web Applications
Website fingerprinting is valuable for many security solutions as it provides insights into applications that are active on the network.
345
25 Jul 2023
Topic Review
Optical Convolutional Neural Networks
As a leading branch of deep learning, the convolutional neural network (CNN) is inspired by the natural visual perceptron mechanism of living things, showing great application in image recognition, language processing, and other fields. Photonics technology provides a new route for intelligent signal processing with the dramatic potential of its ultralarge bandwidth and ultralow power consumption, which automatically completes the computing process after the signal propagates through the processor with an analog computing architecture.
345
22 Aug 2023
Topic Review
Reduce Certificate Frauds in the Academic Field
In the digital age, ensuring the authenticity and security of academic certificates is a critical challenge faced by educational institutions, employers, and individuals alike. Traditional methods for verifying academic credentials are often cumbersome, time-consuming, and susceptible to fraud. However, the emergence of blockchain technology offers a promising solution to address these issues.
345
28 Aug 2023
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