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IEEE21d
Network Attack Detection using Machine Learning - IEEE Xplore
Network attack detection system is utilized to find the anomalies with the aim of finding hackers before they make immense damage to our system. Nowadays business environments need high level security ...
Bleeping Computer1mon
Fake Zenmap. WinMRT sites target IT staff with Bumblebee malware - BleepingComputer
The Bumblebee malware SEO poisoning campaign uncovered earlier this week aimpersonating RVTools is using more typosquatting domainsi mimicking other popular open-source projects to infect devices ...
IEEE1mon
Deep Learning based Malware Analysis, Prediction and Prevention
When malware is introduced into a computer system, an attacker gains complete or limited access to the system’s crucial data. In this study, the idea of foretelling if an executable or its picture ...
ascopubs.org1mon
Artificial Intelligence and Machine Learning Innovations to Improve Design and Representativeness in Oncology Clinical Trials
Artificial intelligence (AI) refers to machine-based systems that analyze input data to generate predictions, recommendations, or decisions, 1 AI-based and machine learning (ML)-based technologies ...
C&EN1mon
Exposome-Scale Investigation of Cl-/Br-Containing Chemicals Using High-Resolution Mass Spectrometry, Multistage Machine Learning, and Cloud Computing - ACS Publications
Over 70% of organic halogens, representing chlorine- and bromine-containing disinfection byproducts (Cl-/Br-DBPs), remain unidentified after 50 years of research. This work introduces a streamlined ...
C&EN1mon
Machine Learning-Driven Optimization of Continuous-Flow Photoredox Amine Synthesis | Organic Process Research & Development - ACS Publications
Photoredox catalysis plays an important role in the synthesis of pharmaceutically relevant compounds such as C(sp3)-rich tertiary amines. The difficulty of identifying underlying mechanistic models ...