To address the increasing complexity of advanced persistent threat (APT) and phishing email attacks, an intelligent agentic workflow method for phishing email detection called IMMEDIATE RELEF PhishingAgent was proposed.PhishingAgent integrated multi-source knowledge bases and security tools to fully leverage the reasoning capabilities of large lang
Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops
Abstract Background Assessment of seed germination is an essential task for seed researchers to measure the quality and performance of seeds.Usually, seed assessments are done manually, which is a cumbersome, time consuming and error-prone process.Classical image analyses methods are not well suited for large-scale germination experiments, because
Selection for immune evasion in SARS-CoV-2 revealed by high-resolution epitope mapping and sequence analysis
Summary: Here, we exploit a deep serological profiling strategy coupled with an integrated, computational framework for the analysis of SARS-CoV-2 humoral immune responses.Applying a high-density peptide array (HDPA) spanning the entire proteomes of SARS-CoV-2 and endemic human coronaviruses allowed identification of B cell Ski de fond - Enfant - V
Extending the Applicability of a Two-Step Chord-Type Method for Non-Differentiable Operators
The semi-local convergence analysis of a well defined and efficient two-step Chord-type method in Banach spaces is presented in axle pulley this study.The recurrence relation technique is used under some weak assumptions.The pertinency of the assumed method is extended for nonlinear non-differentiable operators.The convergence theorem is also estab