Table 1 lists 45 pathogens reportedly found in bedbugs (without considering study quality) and classifies bedbug pathogen couples according to their vectorial competence (eg, acquisition, maintenance, and transmission) and vectorial capacity (eg, reasoning and detection in the wild) criteria, with a summary of each study's results.
Left with no other choice, we've taken it upon ourselves through a thorough process of logical reasoning, cyber-detection, and admittedly unverifiable (though crucial) guesswork to investigate.
In this paper, we introduce a Multi-Agent System (MAS) as an adaptive intelligent technique that acts on top of distributed Case-Based Reasoning (CBR) Phishing Detection Systems (CBR-PDSs) as a Phishing Detection System Architecture (PDSA) that runs on large scale globally to constitute a robust worldwide Phishing Threat Intelligence PTII) environment.
Section 3 proposes an active evidential reasoning based botnet detection model.
Among the mechanisms used for representing and analyzing feature models, description logic (DL) based approaches demand to be better investigated in DSPLs since it provides capabilities, such as automated inconsistency detection, reasoning efficiency, scalability and expressivity.
We noted that although people hardly ever explicitly refer to normative considerations during reasoning, more implicit detection measures such as the activation of the anterior cingulate cortex or autonomic skin-conductance levels already indicated that our brain is sensitive to the presence of conflict between cued intuitive and normative considerations (e.g., [15], [17]).
To the best of our knowledge, SeeBot is the first active evidential reasoning framework for botnet detection that only assumes the intrinsic botnet activities.
The advantage of SeeBot lies in its reasoning capability in botnet detection, especially when available evidence is incomplete, which does not rely on certain botnet behavior to work.
The intuitive reasoning on the edge detection approach in [5], is that placing an object in front of the background will introduce more edges to the scene around the object's boundaries, provided that the background is not extremely cluttered.
The range of work covers the production of regional and local habitat maps by object-oriented classification, a case-based reasoning method for change detection as a management support tool for planning and regulating local land use, the selection and application of structural indicators for the monitoring of Natura 2000 habitats and the downscaling and disaggregation of soil information.
The same reasoning applies to the detection of intronic splicing enhancers [ 15].
