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Topic Review
Big Data Analytics Applications and Opportunities
Big data applications and analytics are vital in proposing ultimate strategic decisions. The existing literature emphasizes that big data applications and analytics can empower those who apply Big Data Analytics during the COVID-19 pandemic.
  • 734
  • 27 Dec 2022
Topic Review
An Ontology-Based Approach for Knowledge Acquisition
Selecting the right supplier is a critical decision in sustainable supply chain management. Sustainable supplier selection plays an important role in achieving a balance between the three pillars of a sustainable supply chain: economic, environmental, and social.
  • 311
  • 27 Dec 2022
Topic Review
Unmanned Aerial Vehicles for Mosquito-Borne Viral Diseases
Unmanned aerial vehicle (UAV) technology has developed in recent years; its applications avoid many of the limitations associated with satellite data, such as long repetition times, cloud contamination, low spatial resolution, and lack of homogeneity in camera angle or shooting time.
  • 293
  • 26 Dec 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
Biography
Margarete Kahn
Margarete Kahn (known as Grete Kahn, born 27 August 1880, missing after deportation to Piaski, Poland on 28 March 1942) was a German mathematician and Holocaust victim.[1] She was among the first women to obtain a doctorate in Germany . Her doctoral work was on the topology of algebraic curves. Margarete Kahn was the daughter of Eschwege merchant and flannel factory owner Albert Kahn (1853–
  • 325
  • 26 Dec 2022
Topic Review
Blockchains and Artificial Intelligence
It is undeniable that the adoption of blockchain- and artificial intelligence (AI)-based paradigms is proceeding at lightning speed. Both paradigms provide something new to the market, but the degree of novelty and complexity of each is different. In the age of digital money, blockchains  may automate installments to allow for the safe, decentralized exchange of personal data, information, and logs. AI and blockchains are two of the most talked about technologies right now. Using a decentralized, secure, and trustworthy system, blockchain technology can automate bitcoin payments and provide users access to a shared ledger of records, transactions, and data. Through the use of smart contracts, a blockchain may also regulate user interactions without the need for a central authority. As an alternative, AI provides robots with the ability to reason and make decisions and human-level intellect.
  • 974
  • 26 Dec 2022
Topic Review
Federated Learning Algorithms in Healthcare
Federated Learning (FL), an emerging distributed collaborative artificial intelligence (AI) paradigm, is particularly suitable for smart healthcare by coordinating the training of numerous clients, that is, in healthcare institutes, without the exchange of private data.
  • 409
  • 26 Dec 2022
Topic Review
3D Object Detection with Differential Point Clouds
3D object detection based on point clouds has many applications in natural scenes, especially in autonomous driving. Point cloud data provide reliable geometric and depth information. 
  • 621
  • 24 Dec 2022
Topic Review
Network Intrusion Detection Systems Using Artificial Intelligence/Machine Learning
The rapid growth of the Internet and communications has resulted in a huge increase in transmitted data. These data are coveted by attackers and they continuously create novel attacks to steal or corrupt these data. The growth of these attacks is an issue for the security of systems and represents one of the biggest challenges for intrusion detection. An intrusion detection system (IDS) is a tool that helps to detect intrusions by inspecting the network traffic. Although many researchers have studied and created new IDS solutions, IDS still needs improving in order to have good detection accuracy while reducing false alarm rates. 
  • 3.0K
  • 23 Dec 2022
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. 
  • 464
  • 23 Dec 2022
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