Ensemble-Guard IoT: A Lightweight Ensemble Model for Real-Time Attack Detection on Imbalanced Dataset by Muhammad Usama Tanveer (22225360)

“…<p dir="ltr">The rapid increase in the number of IoT devices has made ensuring robust real-time attack detection more critical than ever. …”

From time-series to 2D images for building occupancy prediction using deep transfer learning by Aya Nabil Sayed (17317006)

“…The proposed scheme transforms multivariate time-series data into images for better encoding and extracting relevant features. …”

GIS-based spatiotemporal analysis for road traffic crashes; in support of sustainable transportation Planning by Semira, Mohammed

“…Road traffic crashes pose a significant challenge worldwide, necessitating increased efforts to reduce them and promote sustainable transport systems. …”
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Economic Statistical Design Of (X)Over-Bar Control Charts For Systems With Gamma(Lambda, 2) In-Control Times by Al-Oraini, H.A.

“…The study shows that the statistical performance of control charts can be improved significantly, with only a slight increase in the cost, by adding constraints to the optimization problem. …”
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Economic Statistical Design Of (X)Over-Bar Control Charts For Systems With Gamma (Lambda,2) In-Control Times by Al-Oraini, H.A.

“…The study shows that the statistical performance of control charts can be improved significantly, with only a slight increase in the cost, by adding constraints to the optimization problem. …”
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Design and Evaluation of a Just-in-Time Adaptive Intervention (JITAI) to Reduce Sedentary Behavior at Work: Experimental Study by Tasnim Ismail (18418554)

“…</p><h3>Objective</h3><p dir="ltr">The objective of this paper is to investigate the effectiveness of using personalized messages that include user information, user goals, daily routine, and the surrounding environment to increase the level of activity among employees. In this study, we hypothesize that sending context-aware motivational messages to workers in sedentary occupations after sitting for 40 minutes can break sedentary behavior and increase daily active time compared to static reminder messages.…”

Influence of hosting the world’s most popular football competition on Response and Transport Time of Ground Emergency Ambulances in Qatar by Reem Bassam Tluli (18505131)

“…Response and transport times were shortest during that period despite an increase in the population size. …”

Does the CEO effect differ in times of crisis? Evidence from US and China during the global financial crisis by Kleindienst, Ingo

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In-Person and Online Learning in Communicative Language Teaching Classes: Interaction Levels and Parents’ Perspectives by Jbarah, Lara

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PFT: A Novel Time-Frequency Decomposition of BOLD fMRI Signals for Autism Spectrum Disorder Detection by Samir Brahim Belhaouari (9427347)

“…Our research proposes Progressive Fourier Transform (PFT), a novel time-frequency decomposition, together with a Convolutional Neural Network (CNN), as a preferred alternative to available ASD detection systems. …”

Biomolecular changes and subsequent time-dependent recovery in hippocampal tissue after experimental mild traumatic brain injury by Sebnem Garip Ustaoglu (18460611)

“…This study reports the time-dependent contextual and structural effects of TBI on hippocampal brain tissue. …”

Screen Time Soars and Vision Suffers: How School Closures During the Pandemic Affected Children and Adolescents’ Eyesight by Muna Abed Alah (18336771)

“…School closures in Qatar were associated with a significant increase in screen time among students and a notable decline in their visual acuity. …”

Surgical Management of Hepatic Benign Disease: Have the Number of Liver Resections Increased in the Era of Minimally Invasive Approach? Analysis from the I Go MILS (Italian Group o... by Ardito, Francesco

“…During the same period, 3713 liver resections (open + MILS) were performed and 407 (11.0%) were for BD. A time-trend analysis showed that the total number of MILS and the number of MILS for malignant disease significantly increased, but this increasing trend was not documented for the number of MILS for BD, which remained stable during the study period of time. …”
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LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis by Saeif Alhazbi (17058108)

“…We find that measuring the Inter-Token Times (ITTs)–time intervals between consecutive tokens-can identify different language models with high accuracy. …”

Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic by Hassan Farhat (9000509)

Addressing bias in the definition of SARS-CoV-2 reinfection: implications for underestimation by Hiam Chemaitelly (439114)

“…By setting the time window at 40 days, the estimated number of reinfections in the population increased from 84,565 to 88,384, compared to the 90-day time window. …”

Simulation study of a coincidence detection system for non-invasive determination of arterial blood time-activity curve measurements by Yassine Toufique (8252550)

“…<h3>Background</h3><p dir="ltr">Arterial sampling in PET studies for the purposes of kinetic modeling remains an invasive, time-intensive, and expensive procedure. Alternatives to derive the blood time-activity curve (BTAC) non-invasively are either reliant on large vessels in the field of view or are laborious to implement and analyze as well as being prone to many processing errors. …”

Comparative effectiveness of one versus two doses of COVID-19 vaccines in Qatar: Evidence of converging protection over time by Hiam Chemaitelly (439114)

Stochastic forecasting of COVID-19 daily new cases across countries with a novel hybrid time series model by Chakraborty, Tanujit

“…Soon after, the infected cases and mortality increased rapidly. The future of the pandemic’s progress was uncertain, and thus, predicting it became crucial for public health researchers. …”
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A novel sentiment analysis framework for monitoring the evolving public opinion in real-time: Case study on climate change by El Barachi, May

“…Sentiment analysis of social media posts has become increasingly prominent in recent years as a means of gaining insights into how members of the public perceive current affairs. …”
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