[HTML][HTML] Automatic evaluation of open-ended questions for online learning. A systematic mapping
The assessment of students' performances in Higher Education is one of the essential
components of teaching activities. Open-ended tasks allow a more in-depth assessment of …
components of teaching activities. Open-ended tasks allow a more in-depth assessment of …
BAuth-ZKP—A blockchain-based multi-factor authentication mechanism for securing smart cities
The overwhelming popularity of technology-based solutions and innovations to address day-
to-day processes has significantly contributed to the emergence of smart cities. where …
to-day processes has significantly contributed to the emergence of smart cities. where …
Ruemo—the classification framework for russia-ukraine war-related societal emotions on twitter through machine learning
The beginning of this decade brought utter international chaos with the COVID-19 pandemic
and the Russia-Ukraine war (RUW). The ongoing war has been building pressure across …
and the Russia-Ukraine war (RUW). The ongoing war has been building pressure across …
Malware detection in internet of things (IoT) devices using deep learning
Internet of Things (IoT) devices usage is increasing exponentially with the spread of the
internet. With the increasing capacity of data on IoT devices, these devices are becoming …
internet. With the increasing capacity of data on IoT devices, these devices are becoming …
The mediating role of perceived risks and benefits when self-disclosing: A study of social media trust and FoMO
K van der Schyff, S Flowerday - Computers & Security, 2023 - Elsevier
Self-disclosure as influenced by perceived risks and benefits plays an important role within
the context of social media use and the associated privacy risk. Some social media …
the context of social media use and the associated privacy risk. Some social media …
GradeAid: a framework for automatic short answers grading in educational contexts—design, implementation and evaluation
Automatic short answer grading (ASAG), a hot field of natural language understanding, is a
research area within learning analytics. ASAG solutions are conceived to offload teachers …
research area within learning analytics. ASAG solutions are conceived to offload teachers …
Knowledge mining and social dangerousness assessment in criminal justice: metaheuristic integration of machine learning and graph-based inference
One of the main challenges for computational legal research is drawing up innovative
heuristics to derive actionable knowledge from legal documents. While a large part of the …
heuristics to derive actionable knowledge from legal documents. While a large part of the …
Analyzing health data breaches: a visual analytics approach
W Raghupathi, V Raghupathi, A Saharia - AppliedMath, 2023 - mdpi.com
This research studies the occurrence of data breaches in healthcare provider settings
regarding patient data. Using visual analytics and data visualization tools, we study the …
regarding patient data. Using visual analytics and data visualization tools, we study the …
On detecting cryptojacking on websites: Revisiting the use of classifiers
FA Aponte-Novoa, D Povedano Álvarez… - Sensors, 2022 - mdpi.com
Cryptojacking or illegal mining is a form of malware that hides in the victim's computer and
takes the computational resources to extract cryptocurrencies in favor of the attacker. It …
takes the computational resources to extract cryptocurrencies in favor of the attacker. It …
Cybersecurity awareness assessment among trainees of the technical and vocational training corporation
S Alrobaian, S Alshahrani, A Almaleh - Big Data and Cognitive …, 2023 - mdpi.com
People are the weakest link in the cybersecurity chain when viewed in the context of
technological advancement. People become vulnerable to trickery through contemporary …
technological advancement. People become vulnerable to trickery through contemporary …