Twitter, as a popular social network, has been targeted by different bot attacks. Detecting bots is challenging task, due to their evolving capacity avoid detection. Extensive research efforts have proposed techniques and approaches solving this problem. Due the scarcity of recently updated labeled data, performance detection systems degrades when exposed new dataset. Therefore, semi-supervised...

BACKGROUND The aim was to compare changes in HbA1c and body weight after initiation of dapagliflozin or basal insulin supported oral therapy (BOT) in type 2 diabetes patients in primary care practices. METHODS Patients from 983 primary care practices who started dapagliflozin or BOT between December 2012 and July 2015 (index date, ID) were retrospectively analyzed (Disease Analyzer; Germany)....

This study reports the results of a laboratory experiment exploring interactions between humans and a conversational agent. Using the ChatScript language, we created a chat bot that asked participants to describe a series of images. The two objectives of this study were (1) to analyze the impact of dynamic responses on participants’ perceptions of the conversational agent, and (2) to explore be...

In this paper, to build an efficient intelligent surveillance system, the CNN algorithm, one of the deep learning algorithms, was used for an image analysis bot (bot, the abbreviation of robot, is a software tool for processing data) system to detect and classify pedestrians in a video sequence. To optimize the system, we made some improvements to the CNN algorithm. Additionally, we implement t...

Recension av: Lisbeth Sachs. Tillit som bot. Placebo i tid och rum. Lund, Studentlitteratur 2004. 160 s.

Algorithms that follow a trend and predetermined set of rules are used in algorithmic trading to execute trades. Predictive Trade Bot systemsaim provide unusual profits for stock order, position,balance, sell, by tools. The trade can produce income at an unnaturally high speed frequency. Bydeveloping Algorithmic Trading will automatically user strategies along with its own algorithms day-to-day...

Online Social Networks have revolutionized how we consume and share information, but they also led to a proliferation of content not always reliable accurate. One particular type social accounts is known promote unreputable content, hyperpartisan, propagandistic information. They are automated accounts, commonly called bots. Focusing on Twitter propose novel approach bot detection: first new al...

Malicious software (malware) infects large numbers of mobile devices. Once infected these mobile devices may be involved in many kinds of online criminal activity, including identity theft, unsolicited commercial SMS messages, scams and massive coordinated attacks. Until recently, mobile networks have been relatively isolated from the Internet, so there has been little need to protect them agai...