An AI-based module for interstitial glucose forecasting enabling a “Do-It-Yourself” application for people with type 1 diabetes by Antonio J. Rodriguez-Almeida, Guillermo V. Socorro-Marrero, Carmelo Betancort, Garlene Zamora-Zamorano, Alejandro Deniz-Garcia, María L. Álvarez-Malé, Eirik Årsand, Eirik Årsand, Cristina Soguero-Ruiz, Ana M. Wägner, Ana M. Wägner, Conceição Granja, Conceição Granja, Gustavo M. Callico, Himar Fabelo, Himar Fabelo, Himar Fabelo

“…For training and validation, 1 year of CGM data collected from 29 subjects with T1D were used.Results and DiscussionResults showed prediction performance comparable to the state-of-the-art, using only CGM data. …”
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Inference on the Beta Type I Generalized Half Logistic Distribution under Right-Censored Observation with Application to COVID-19 by Phillip Oluwatobi Awodutire, Ethelbert Chinaka Nduka, Maxwell Azubike Ijomah, Oluwatosin Ruth Ilori, Oluwafemi Samson Balogun

“…A simulation study was carried out to assess the performance of the parameters of the model in terms of efficiency and consistency. In a real-life application, the model was applied to COVID-19 data and the necessary inferences were drawn.…”
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Regression supervised model techniques THz MIMO antenna for 6G wireless communication and IoT application with isolation prediction by Md. Ashraful Haque, Jamal Hossain Nirob, Kamal Hossain Nahin, Md․ Sharif Ahammed, Narinderjit Singh Sawaran Singh, Liton Chandra Paul, Abeer D. Algarni, Mohammed ElAffendi, Ahmed A․ Abd El-Latif, Abdelhamied A. Ateya

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Artificial intelligence knowledge, attitudes and application perspectives of undergraduate and specialty students of faculty of dentistry in Turkey: an online survey research by Cemile Yılmaz, Rahime Zeynep Erdem, Latife Altınok Uygun

“…Statistical analysis was performed using IBM SPSS version 26.0, with quantitative data presented as mean ± standard deviation and categorical data as frequency (percentage). …”
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A novel bivariate regression model derived from the clayton copula and the Odd Dagum-G family and its application by Julius Kwaku Adu-Ntim, Akoto Yaw Omari-Sasu, Maxwell Akwasi Boateng, Isaac Adjei Mensah

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COMPARISON OF EXPONENTIALLY WEIGHTED MOVING AVERAGE CONTROL CHART WITH HOMOGENEOUSLY WEIGHTED MOVING AVERAGE CONTROL CHARTS AND ITS APPLICATION by Erna Tri Herdiani, Mustabsyirah Mustabsyirah

“…The recently developed Homogeneously Weighted Moving Average (HWMA) control chart modifies the weighting scheme of EWMA, giving more weight to the latest data and distributing smaller weights evenly to past data to further improve sensitivity. …”
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Machine Learning Method Application to Detect Predisposing Factors to Open-Pit Landslides: The Sijiaying Iron Mine Case Study by Jiang Li, Zhuoying Tan, Naigen Tan, Aboubakar Siddique, Jianshu Liu, Fenglin Wang, Wantao Li

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Application of Hyperspectral Image for Monitoring in Coastal Area with Deep Learning: A Case Study of Green Algae on Artificial Structure by Tae-Ho Kim, Jee Eun Min, Hye Min Lee, Kuk Jin Kim, Chan-Su Yang

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Exploring the Application of the Linear Poisson Autoregressive Model for Analyzing the Dynamic Impact of Traffic Laws on Fatal Traffic Accident Frequency by Yue Zhang, Yajie Zou, Lingtao Wu, Jinjun Tang, Malik Muneeb Abid

“…Annual fatal traffic accident data often demonstrate time series characteristics. …”
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Customized Statistically Downscaled CMIP5 and CMIP6 Projections: Application in the Edwards Aquifer Region in South‐Central Texas by A. M. Wootten, H. Başağaoğlu, F. P. Bertetti, D. Chakraborty, C. Sharma, M. Samimi, A. Mirchi

“…We present a methodology with novel features to address the “practitioner's dilemma” for generating downscaled climate projections for specific applications. We use the Edwards Aquifer region (EAR) in south‐central Texas to demonstrate a process to select a subset of global climate models from both the CMIP5 and CMIP6 ensembles, followed by downscaling and verification of the accuracy of downscaled data against historical data. …”
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A review of quantum communication and information networks with advanced cryptographic applications using machine learning, deep learning techniques by R. Ramya, P. Kumar, D. Dhanasekaran, R. Satheesh Kumar, S. Amithesh Sharavan

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Use of COVID-19 ICT surveillance applications in Uganda: a case study of Kampala City, Wakiso and Mukono districts by Nandu Goswami, Robert Stalone Buwule, Mary Acanit, Karin Schmid-Zalaudek, Bianca Brix

“…The surveillance applications provided accurate, authoritative and timely data. …”
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Improved method of targeted user interface updates for enhancing the efficiency of web applications based on reactive streams and virtual DOM by M.V. Havatiuk, I.O. Saiapina

“…Most modern applications are centered around the dynamic relationship between data and the user interface, which creates significant demands for efficiency in data processing and real-time interface updates. …”
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The application of artificial intelligence algorithms for testing the correlation between the state of oral health and adolescent behavior concerning oral health by Gajić Milica, Lalić Maja, Kalevski Katarina, Lazić Emira, Pavlović Maja, Ivanović Mirjana, Milić Jasmina, Matijević Dušanka, Vojinović Jovan

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Relating Experienced To Recalled breathlessness Observational (RETRO) study: a prospective study using a mobile phone application by Jacob Sandberg, Robert Lansing, Peter Anderberg, David Currow, Josefin Sundh, Zainab Ahmadi, Sebastian Palmqvist, Magnus Ekström

“…This paper presents the protocol for a study primarily aimed at evaluating the relationship between experienced breathlessness and (1) recalled breathlessness and (2) predicted future breathlessness.Methods A mobile phone application will be used to collect data during daily life. …”
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Developing and validating an artificial intelligence-based application for predicting some pregnancy outcomes: a multi-phase study protocol by Fatemeh Shabani, Ata Jodeiri, Sakineh Mohammad‑Alizadeh‑Charandabi, Fatemeh Abbasalizadeh, Jafar Tanha, Mojgan Mirghafourvand

“…Discussion This study protocol presents a multi-phase approach to developing and validating an AI-based application for predicting pregnancy outcomes. By integrating retrospective data analysis, machine learning, and prospective validation, the study aims to improve early risk detection and maternal care. …”
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Derivation of Hyperspectral Profiles for Global Extended Pseudo Invariant Calibration Sites (EPICS) and Their Application in Satellite Sensor Cross-Calibration by Juliana Fajardo Rueda, Larry Leigh, Morakot Kaewmanee, Harshitha Byregowda, Cibele Teixeira Pinto

“…SBAF results were statistically the same, while SBAF derived from the combined DESIS and Hyperion data exhibited reduced uncertainty compared to those derived using Hyperion data alone, which is attributed to DESIS’s finer spectral resolution (2.5 nm vs. 10 nm). …”
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Application of a multiple transmitter spacing gradient array TDIP survey in the Huaniushan mining area, Gansu province, China by Shunji Wang, Guanwen Gu, Ye Wu, Xingguo Niu, Beidou Pan, Xingwen Wang, Zhihe Xu, Haoyuan He, Yingjie Wang, Xinglong Lin, Lai Cao

“…We have developed and use a 3D inversion routine to process and then image on these data sets. Finally, we combined the electrical structure determined from the multi-transmitter gradient surveys with relevant geological data. …”
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The Influence of TAM Factors and Social Influence on Attitude Towards and Its Impact on Repurchase Intention (Survey on Shopee Application Users) by Diny Dwi Lestari, Endang Siti Astuti, Sunarti Sunarti

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Development of Learning Videos Assisted by the Sparkol Video Scribe Application on Science Object Material Class V Elementary School by Perdi, Patricia H.M. Lubis, Henni Riyanti

“…Data analysis techniques tested were the validity and practicality of animated video media. …”
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