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Topic Review
Babylon
Babylon is a computer dictionary and translation program developed by the Israeli company Babylon Software Ltd. based in the city of Or Yehuda. The company was established in 1997 by the Israeli entrepreneur Amnon Ovadia. Its IPO took place ten years later. It is considered a part of Israel's Download Valley, a cluster of software companies monetizing "free" software downloads through adware. Babylon includes in-house proprietary dictionaries, as well as community-created dictionaries and glossaries. It is a tool used for translation and conversion of currencies, measurements and time, and for obtaining other contextual information. The program also uses a text-to-speech agent, so users hear the proper pronunciation of words and text. Babylon has developed 36 English-based proprietary dictionaries in 21 languages. In 2008–2009, Babylon reported earnings of 50 million NIS through its collaboration with Google. Between 2010 and 2013, Babylon became infamous for demonstrating questionable behavior typical of malware: A Babylon Toolbar bundled with Babylon and other software, has been widely identified as a browser hijacker that is very easy to install inadvertently and unnecessarily difficult to remove. This eventually led to Google terminating its agreement with Babylon Ltd. in 2013.
  • 1.0K
  • 08 Oct 2022
Biography
Misir Mardanov
Misir Jumayil oglu Mardanov (Azerbaijani: Misir Mərdanov Cumayıl oğlu; born October 3, 1946) is an Azerbaijani academic and politician who is director of the institute of Mathematics and Mechanics of the National Academy of Sciences of Azerbaijan, former Minister of Education of Azerbaijan Republic, Corr.-member of ANAS, doctor of physico-mathematical sciences, professor. Misir Mardanov wa
  • 1.0K
  • 26 Dec 2022
Topic Review
APT (Package Manager)
Advanced Package Tool, or APT, is a free-software user interface that works with core libraries to handle the installation and removal of software on Debian, Ubuntu, and related Linux distributions. APT simplifies the process of managing software on Unix-like computer systems by automating the retrieval, configuration and installation of software packages, either from precompiled files or by compiling source code.
  • 1.0K
  • 24 Oct 2022
Topic Review
Reduction (Complexity)
In computability theory and computational complexity theory, a reduction is an algorithm for transforming one problem into another problem. A reduction from one problem to another may be used to show that the second problem is at least as difficult as the first. Intuitively, problem A is reducible to problem B if an algorithm for solving problem B efficiently (if it existed) could also be used as a subroutine to solve problem A efficiently. When this is true, solving A cannot be harder than solving B. "Harder" means having a higher estimate of the required computational resources in a given context (e.g., higher time complexity, greater memory requirement, expensive need for extra hardware processor cores for a parallel solution compared to a single-threaded solution, etc.). We write A ≤m B, usually with a subscript on the ≤ to indicate the type of reduction being used (m : mapping reduction, p : polynomial reduction). The mathematical structure generated on a set of problems by the reductions of a particular type generally forms a preorder, whose equivalence classes may be used to define degrees of unsolvability and complexity classes.
  • 1.0K
  • 30 Sep 2022
Topic Review
Machine Learning in Cereal Crops Disease Detection
Cereals are an important and major source of the human diet. They constitute more than two-thirds of the world’s food source and cover more than 56% of the world’s cultivatable land. These important sources of food are affected by a variety of damaging diseases, causing significant loss in annual production. In this regard, detection of diseases at an early stage and quantification of the severity has acquired the urgent attention of researchers worldwide. One emerging and popular approach for this task is the utilization of machine learning techniques.
  • 1.0K
  • 03 Mar 2022
Topic Review
Forecasting Plant and Crop Disease
Every year, plant diseases cause a significant loss of valuable food crops around the world. The plant and crop disease management practice implemented in order to mitigate damages have changed considerably. Today, through the application of new information and communication technologies, it is possible to predict the onset or change in the severity of diseases using modern big data analysis techniques. In this paper, we present an analysis and classification of research studies conducted over the past decade that forecast the onset of disease at a pre-symptomatic stage (i.e., symptoms not visible to the naked eye) or at an early stage. We examine the specific approaches and methods adopted, pre-processing techniques and data used, performance metrics, and expected results, highlighting the issues encountered. The results of the study reveal that this practice is still in its infancy and that many barriers need to be overcome.
  • 1.0K
  • 01 Feb 2021
Topic Review
Applications of Internet of Things
IoT-dependent systems (IoTSs) cause heavy usage of energy. This is one of the biggest issues associated with IoTSs. Another issue is that the security of digital content is a big challenge and difficulty. Image processing has recently played an essential role in resolving these difficulties.
  • 1.0K
  • 02 Mar 2023
Topic Review
Expenditures and Oscillation Analysis
The main purpose is to identify among variables that constitute water resources consumption at public schools, the link between consumption and expenditures oscillations. It was obtained a theoretical model of how oscillations patterns are originated and how time lengths have an important role over expenditures oscillations ergodicity and non-ergodicity.
  • 1.0K
  • 01 Nov 2020
Topic Review
Blockchain enabled Virtualized Cloud Security Solutions
Cloud computing is a well-known technology that provides flexible, efficient, and cost-effective IT solutions for multinationals to offer improved and enhanced quality of business services to end-users. The cloud computing paradigm is instigated from the grid and parallel computing models.
  • 1.0K
  • 22 Oct 2021
Topic Review
Blockchain for Smart Mobility
The concept of a smart city aims to help cities to address these challenges by adapting modern information and communication technology. Smart mobility and transportation form one important aspect of smart cities. Inefficient mobility in cities can lead to problems such as traffic congestion, which results in frustration for residents and a decrease in the quality of life. In the context of smart mobility, blockchain can be used for transactions relating to ridesharing and electric charging, handling of interactions of platoon members, or serving as a foundation for communication between vehicles.
  • 1.0K
  • 17 Jan 2022
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