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Topic Review
Biography
Topic Review
Smart Chatbot for User Authentication
Despite being the most widely used authentication mechanism, password-based authentication is not very secure, being easily guessed or brute-forced. To address this, many systems which especially value security adopt Multi-Factor Authentication (MFA), in which multiple different authentication mechanisms are used concurrently. JitHDA (Just-in-time human dynamics based authentication engine) is a new authentication mechanism which can add another option to MFA capabilities. JitHDA observes human behaviour and human dynamics to gather up to date information on the user from which authentication questions can be dynamically generated.
487
23 Dec 2022
Topic Review
Mining Equipment Management
Mining sector is an economic foundation and the main source of national wealth for many countries. Modern mining operations are ever more reliant on efficient usage of costly large-scale mining equipment (e.g., trucks, shovels/excavators/loaders, conveyors and crushers). Thus, mining equipment management is becoming crucial for the mining industry. To be viable and sustainable, mining enterprises need to operate different types of mining equipment units at various stages with the objective of minimizing the total cost or maximizing the whole productivity.
555
23 Dec 2022
Biography
Valentina Mikhailovna Borok
Valentina Mikhailovna Borok (9 July 1931, Kharkiv, Ukraine , USSR – 4 February 2004, Haifa, Israel) was a Soviet Ukraine mathematician. She is mainly known for her work on partial differential equations.[1] Borok was born on July 9, 1931 in Kharkiv in Ukraine (then USSR), into a Jewish family.[2] Her father, Michail Borok, was a chemist, scientist and an expert in material science. Her moth
391
23 Dec 2022
Topic Review
Hesitant Fuzzy Graph Neural Network-Based Prototypical Network
Few-shot text classification aims to recognize new classes with only a few labeled text instances. Previous studies mainly utilized text semantic features to model the instance-level relation among partial samples. However, the single relation information makes it difficult for many models to address complicated natural language tasks. A novel hesitant fuzzy graph neural network (HFGNN) model that explores the multi-attribute relations between samples is proposed. HFGNN is combined with the Prototypical Network (HFGNN-Proto) to achieve few-shot text classification.
552
20 Dec 2022
Topic Review
Application Profiling System Architecture
Along with the rise of cloud and edge computing has come a plethora of solutions that regard the deployment and operation of different types of applications in such environments. Infrastructure as a service (IaaS) providers offer a number of different hardware solutions to facilitate the needs of the growing number of distributed applications. It is critical in this landscape to be able to navigate and discover the best-suited infrastructure solution for the applications, taking into account not only the cost of operation but also the quality of service (QoS) required for any given application. The proposed solution has two main research developments: (a) the creation and optimisation of multidimensional vectors that represent the hardware usage profiles of an application, and (b) the assimilation of a machine learning classification algorithm, in order to create a system that can create hardware-agnostic profiles of a vast variety of containerised applications in terms of nature and computational needs and classify them to known benchmarks. Given that benchmarks are widely used to evaluate a system’s hardware capabilities, having a system that can help select which benchmarks best correlate to a given application can help an IaaS provider make a more informed decision or recommendation on the hardware solution, not in a broad sense, but based on the needs of a specific application.
434
20 Dec 2022
Topic Review
Heuristic Evaluation of Microsoft Teams
The way that education is delivered changed significantly during the COVID-19 pandemic to be completely online in many countries for many institutions. Despite the fact that they are not online teaching platforms, virtual meeting platforms were utilized to deal with this transformation. One of the platforms Philadelphia University utilized for the unplanned shift to online teaching was Microsoft Teams. This research examines how heuristic evaluation may be used to guide the evaluation of online meeting platforms for teaching and focuses on the use of heuristic evaluation to assess the level of usability of Microsoft Teams. The level of Zoom’s usability is also evaluated using heuristic evaluation in order to compare it to that of Microsoft Teams and to assess Microsoft Teams’ overall usability in comparison to other platforms being used for the same purpose. Microsoft Teams was identified as having a few issues that need to be addressed. Additionally, strengths, weaknesses, opportunities, and threats to Microsoft Teams’ usability were assessed.
502
20 Dec 2022
Topic Review
Deep Learning towards Digital Additive Manufacturing
Machine learning is a type of deep learning. First in the machine learning (ML) process is the manual extraction of relevant image characteristics. These characteristics are also used to classify the image according to its particular characteristics. Researchers focused primarily on digital additive manufacturing, one of the most significant emerging topics in Industry 4.0.
1.6K
19 Dec 2022
Biography
Daina Taimina
Daina Taimiņa (born August 19, 1954)[1] is a Latvian mathematician, currently adjunct associate professor at Cornell University, known for crocheting objects to illustrate hyperbolic space. Taimina received all her formal education in Riga, Latvia, where in 1977 she graduated summa cum laude from the University of Latvia and completed her graduate work in theoretical computer science (superv
945
16 Dec 2022
Topic Review
Approach for Overlapped Segmentation of Bacterial Cell Images
Scanning electron microscopy (SEM) techniques have been extensively performed to image and study bacterial cells with high-resolution images. Bacterial image segmentation in SEM images is an essential task to distinguish an object of interest and its specific region.
447
15 Dec 2022
Biography
Ezra A. (Bud) Brown
Ezra A. Brown (born January 22, 1944 in Reading, PA) is an American mathematician active in combinatorics, algebraic number theory, elliptic curves, graph theory, expository mathematics and cryptography. He spent most of his career at Virginia Tech where he is now Alumni Distinguished Professor Emeritus of Mathematics.[1] Brown earned a B.A. at Rice University in 1965.[2] He then studied math
718
15 Dec 2022
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