A general antivirus self-protection mechanism for process and file integrity حسب Paul A. Gagniuc (1818325)

Entry Point byte frequency حسب Paul A. Gagniuc (1818325)

Generation of a Position Weight Matrix (PWM) from a set of infected PE files حسب Paul A. Gagniuc (1818325)

MD5 signatures from specific regions from a set of files حسب Paul A. Gagniuc (1818325)

A sample of original dataset. حسب Tamer Abdel Latif Ali (21464041)

"…Multi-stage deception (MSD) methods leverage multiple deception strategies, such as complement, swapping, and stack reversal, to improve data protection levels and resistance against decryption attempts. …"

Attributes classification based on MSD. حسب Tamer Abdel Latif Ali (21464041)

"…Multi-stage deception (MSD) methods leverage multiple deception strategies, such as complement, swapping, and stack reversal, to improve data protection levels and resistance against decryption attempts. …"

Privacy-preserving techniques evaluation. حسب Tamer Abdel Latif Ali (21464041)

"…Multi-stage deception (MSD) methods leverage multiple deception strategies, such as complement, swapping, and stack reversal, to improve data protection levels and resistance against decryption attempts. …"

A sample of the dataset after applying MSD. حسب Tamer Abdel Latif Ali (21464041)

"…Multi-stage deception (MSD) methods leverage multiple deception strategies, such as complement, swapping, and stack reversal, to improve data protection levels and resistance against decryption attempts. …"

DataSheet1_An integrated framework for UAV-based precision plant protection in complex terrain: the ACHAGA solution for multi-tea fields.zip حسب Pengyang Zhang (11256688)

DataSheet3_An integrated framework for UAV-based precision plant protection in complex terrain: the ACHAGA solution for multi-tea fields.zip حسب Pengyang Zhang (11256688)

DataSheet2_An integrated framework for UAV-based precision plant protection in complex terrain: the ACHAGA solution for multi-tea fields.zip حسب Pengyang Zhang (11256688)

DataSheet4_An integrated framework for UAV-based precision plant protection in complex terrain: the ACHAGA solution for multi-tea fields.zip حسب Pengyang Zhang (11256688)

SupplimentaryCompressed (zipped) Folder. حسب Shravani Sanyal (20833595)

"…The pest identity was confirmed with morphological taxonomy, and the possible habitat distribution and further spread in future climate scenarios were modelled using the MaxEnt algorithm. The climate niche for <i>S. incertulas</i> was also established by analyzing the correlation between the pest occurrence data of 143 locations in India and seven bioclimatic variables <i>viz</i>., bio01, bio02, bio03, bio05, bio12, bio13, and bio15, were chosen for predicting the distribution of <i>S. incertulas</i>. …"

Test omission rate and predicted area. حسب Shravani Sanyal (20833595)

"…The pest identity was confirmed with morphological taxonomy, and the possible habitat distribution and further spread in future climate scenarios were modelled using the MaxEnt algorithm. The climate niche for <i>S. incertulas</i> was also established by analyzing the correlation between the pest occurrence data of 143 locations in India and seven bioclimatic variables <i>viz</i>., bio01, bio02, bio03, bio05, bio12, bio13, and bio15, were chosen for predicting the distribution of <i>S. incertulas</i>. …"

Bioclimatic variables used for the study. حسب Shravani Sanyal (20833595)

"…The pest identity was confirmed with morphological taxonomy, and the possible habitat distribution and further spread in future climate scenarios were modelled using the MaxEnt algorithm. The climate niche for <i>S. incertulas</i> was also established by analyzing the correlation between the pest occurrence data of 143 locations in India and seven bioclimatic variables <i>viz</i>., bio01, bio02, bio03, bio05, bio12, bio13, and bio15, were chosen for predicting the distribution of <i>S. incertulas</i>. …"

Occurrence records of <i>S. incertulas</i> in the world. حسب Shravani Sanyal (20833595)

"…The pest identity was confirmed with morphological taxonomy, and the possible habitat distribution and further spread in future climate scenarios were modelled using the MaxEnt algorithm. The climate niche for <i>S. incertulas</i> was also established by analyzing the correlation between the pest occurrence data of 143 locations in India and seven bioclimatic variables <i>viz</i>., bio01, bio02, bio03, bio05, bio12, bio13, and bio15, were chosen for predicting the distribution of <i>S. incertulas</i>. …"

Users data points. حسب Alon Sela (12231559)

"…Their methods include the use of synchronized or individual bots, multiple accounts operated by one social media management tool, or different manipulations of search engines and social network algorithms, all aiming to promote their ideology. …"

Hashtags data points. حسب Alon Sela (12231559)

"…Their methods include the use of synchronized or individual bots, multiple accounts operated by one social media management tool, or different manipulations of search engines and social network algorithms, all aiming to promote their ideology. …"

Bipartite network data points. حسب Alon Sela (12231559)

"…Their methods include the use of synchronized or individual bots, multiple accounts operated by one social media management tool, or different manipulations of search engines and social network algorithms, all aiming to promote their ideology. …"

Data sets used for user analysis. حسب Alon Sela (12231559)

"…Their methods include the use of synchronized or individual bots, multiple accounts operated by one social media management tool, or different manipulations of search engines and social network algorithms, all aiming to promote their ideology. …"