Daniela Gîfu

ORCID: 0000-0001-8116-053X
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About
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Research Areas
  • Natural Language Processing Techniques
  • Topic Modeling
  • Appreciative Inquiry and Organizational Change
  • Sentiment Analysis and Opinion Mining
  • Semantic Web and Ontologies
  • Advanced Text Analysis Techniques
  • Biomedical Text Mining and Ontologies
  • Service-Oriented Architecture and Web Services
  • Misinformation and Its Impacts
  • IoT and Edge/Fog Computing
  • Speech and dialogue systems
  • linguistics and terminology studies
  • Hate Speech and Cyberbullying Detection
  • Advanced Mathematical Theories
  • Authorship Attribution and Profiling
  • Stock Market Forecasting Methods
  • Advanced Algebra and Logic
  • Machine Learning in Healthcare
  • Organizational Change and Leadership
  • Geographic Information Systems Studies
  • Smart Grid Security and Resilience
  • Leadership, Behavior, and Decision-Making Studies
  • Linguistic Studies and Language Acquisition
  • Rough Sets and Fuzzy Logic
  • Information Society and Technology Trends

Romanian Academy
2017-2025

Universitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș
2025

Alexandru Ioan Cuza University
2015-2024

Czech Academy of Sciences, Institute of Computer Science
2018-2023

University of Craiova
2015

Augmented Reality (AR) has been accepted as an effective learning method which means that it becomes complementary to traditional learning, especially in chemistry. In fact, AR is interactive experience of a real-world environment. Before recent releases cheap and affordable smart devices, large-scale applications education were almost impossible. After brief analysis current trends the use AR, we propose new system, named ARChemistry Learning, support Romanian educational system. this...

10.1016/j.procs.2020.09.250 article EN Procedia Computer Science 2020-01-01

This paper presents a comprehensive study on detecting AI-generated text using transformer models. Our research extends the existing RODICA dataset to create Enhanced for Human-Authored and AI-Generated Text (ERH) dataset. We enriched by incorporating machine-generated texts from various large language models (LLMs), ensuring diverse representative corpus. Methodologically, we fine-tuned several architectures, including BERT, RoBERTa, DistilBERT, this distinguish between human-written text....

10.3390/fi17010038 article EN cc-by Future Internet 2025-01-16

This paper explores the integration of UAV-based hyperspectral imaging and advanced AI algorithms for soil texture mapping stress detection in agricultural settings. The primary focus lies on leveraging multi-modal sensor data, including imaging, thermal gamma-ray spectroscopy, to enable precise monitoring abiotic biotic stressors crops. An innovative algorithm combining vegetation indices, path planning, machine learning methods is introduced enhance efficiency data collection analysis....

10.3390/drones9020129 article EN cc-by Drones 2025-02-11

The article extends the theoretical and applicative analysis of Zipf’s law. We are concerned with a set properties law that derive directly from power expression discrete nature objects to which is applied, when words, lemmas, like. also search for variations can help explain noisy results empirically reported in literature departures obtained nonlinear graph linear one, variants analyzed differing Mandelbrot lognormal distributions. A problem interest we deal mixtures populations obeying...

10.3390/axioms13030146 article EN cc-by Axioms 2024-02-23

One of the industry's most important trends in enterprise architecture is related to use microservices, detriment monolithic architectures, which are beginning no longer be used. Due cloud-native architectures deployment microservices systems more productive, flexible and cost effective. Anyway, a lot companies started migrate from one type another, but it still early phase. In this paper we address challenges raised by need develop scalable fault tolerance system based on microservices. our...

10.1016/j.procs.2019.09.271 article EN Procedia Computer Science 2019-01-01

A significant task facing machine learning and natural language processing is real-time recognition of fake news generated automatically. Social media platforms contribute to the spread uncertain information, context in which people different backgrounds all over world interact. The purpose this work demonstrate role artificial intelligence remarkable generation content (here, with a low degree trust). As result survey, after identifying analyzing main research trends detection, current...

10.1016/j.procs.2023.08.088 article EN Procedia Computer Science 2023-01-01

In the dynamic arena of healthcare research, where complexities data often rival intricacies biological systems, ability to model and analyze such multifaceted datasets is crucial. This comprehensive review delves into evolution application soft sets their extensions, including HyperSoft Sets, SuperHyperSoft IndetermSoft IndetermHyperSoft TreeSoft in claims analysis. These extensions address intricate challenges analysis, offering versatile frameworks for managing uncertainty indeterminacy...

10.3390/app14198799 article EN cc-by Applied Sciences 2024-09-30

Markets are organized so that buyers and sellers have a choice of participating in production-to-stock or production-to-order auctions. A (PTS) institution requires the seller to hold inventory before trading. Data from computerized double auctions analyzed. Inventory cost diminishes trading activity. When is endogenous, sales stock about 15 percent total. there only PTS market, econometric estimates show as group seek higher prices surplus relatively high. increases buyer market efficiency:...

10.18052/www.scipress.com/ilshs.28.61 article EN cc-by International Letters of Social and Humanistic Sciences 2014-05-01

The study highlights some communication instances of actual approach human society evolution in contrast with traditional communication. During the history dates back to prehistory, significant changes technologies (media and appropriate inscription tools) evolving tandem shifts political economic systems, by extension, systems power (Innis, 1951), can range from very subtle processes exchange, full conversations mass Human was revolutionized speech approximately 100,000 years ago, Symbols...

10.18052/www.scipress.com/ilshs.31.46 article EN cc-by International Letters of Social and Humanistic Sciences 2014-06-01

Communication is a process we do for most of the day in our personal and professional lives; yet us work on it less than other skills. We’re taught about proper communication all through school even into college education. Every time are stressed importance clear communication. Most have heard idea “listening important part communication”; but how many continue to skills as an ongoing process? Systems theory transdisciplinary study abstract organization phenomena, independent their...

10.18052/www.scipress.com/ilshs.28.119 article EN cc-by International Letters of Social and Humanistic Sciences 2014-05-01

This article provides a comprehensive and up-to-date survey of models vocabularies for creating linguistic linked data (LLD) focusing on the latest developments in area both building upon complementing previous works covering similar territory. The begins with an overview some recent trends which have had significant impact vocabularies. Next, we give general existing different categories LLD resource. After look at community standards initiatives including descriptions work OntoLex-Lemon...

10.3233/sw-222859 article EN other-oa Semantic Web 2022-07-12

As revolutionary technology, scanning technology - like OCR knows an attracting increasing interest in the medical system. In fact, driven by big data and machine learning, helps to drive successful change processes healthcare. Nowadays, systems based on promise of artificial intelligence can contribute a greater understanding entire automating transcription general mining information (largely handwritten) clinical notes. The project aims create application for offline character recognition...

10.1016/j.procs.2022.09.169 article EN Procedia Computer Science 2022-01-01

In the dynamic arena of healthcare research, where complexities data often rival intricacies biological systems, ability to model and analyze such multifaceted datasets is crucial. This comprehensive review delves into evolution application Soft Sets their extensions, including HyperSoft Sets, SuperHyperSoft IndetermSoft IndetermHyperSoft TreeSoft in claims analysis. These extensions address intricate challenges analysis, offering versatile frameworks for managing uncertainty indeterminacy...

10.20944/preprints202408.1323.v1 preprint EN 2024-08-19

This study examines the propaganda from point of view positive effects in actual social life dominated by democracy. People have to deal with ordinary life: it happens through advertising, occurs political speeches, TV shows, even news… With development means communication and especially mass media, has become inseparable contemporary culture. Some sociologists state that tendencies propagating particular lifestyles models behavior a negative impact on society; other hand, can be used for...

10.18052/www.scipress.com/ilshs.38.82 article EN cc-by International Letters of Social and Humanistic Sciences 2014-08-01

Music learning (here, thinking of playing piano) without professor can be a real challenge.This difficult to achieve, given some traditional approaches manage this process are still insufficiently satisfactory.Beyond the wellknown computer-assisted music tools (1) screenbased and (2) hardware-based, promising solution for piano is based on augmented reality (AR).This technology provides an ideal environment student, but course, it not enough become career musician.In paper, we propose...

10.37789/rochi.2021.1.1.21 article EN 2021-01-01

Generating fake news has become a prevalent issue in the digital age, with profound consequences on society, politics, and media. Due to an exponential increase use of unverified information, spread social media by users different backgrounds, significant task facing natural language processing is real-time recognition generated news. The objective this paper investigate feasibility utilizing artificial intelligence (AI) for automatic generation that possesses sufficiently high level quality...

10.1016/j.procs.2023.10.378 article EN Procedia Computer Science 2023-01-01

In an era where the proliferation of large language models blurs lines between human and machine-generated content, discerning text authenticity is paramount. This study investigates transformer-based models—BERT, RoBERTa, DistilBERT—in distinguishing human-written from text. By leveraging a comprehensive corpus, including sources such as Wikipedia, WikiHow, various news articles in different languages, texts generated by OpenAI's GPT-2, we conduct rigorous comparative experiments....

10.20944/preprints202407.2014.v1 preprint EN 2024-07-25

In the dynamic arena of healthcare research, where complexities data often rival intricacies biological systems, ability to model and analyze such multifaceted datasets is crucial. This comprehensive review delves into evolution application Soft Sets their extensions, including HyperSoft Sets, SuperHyperSoft IndetermSoft IndetermHyperSoft TreeSoft in claims analysis. These extensions address intricate challenges analysis, offering versatile frameworks for managing uncertainty indeterminacy...

10.20944/preprints202408.1323.v2 preprint EN 2024-08-22

Considering the fact that business processes are becoming more and customer-oriented, marketing connecting top management to customers extremely important, which should be given a special attention, taking into account globalization increasing market competition. Due exponential growth of data volume, in any field, it was necessary use develop new methods techniques for discovering hidden information data, almost impossible detected by traditional means, based on human analysis skills. This...

10.4028/www.scientific.net/amm.371.769 article EN Applied Mechanics and Materials 2013-08-30
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