Evolutionary Artificial Intelligence Algorithm for Optimizing Step Phase Detection Based on Foot-Mounted Triaxial Accelerometer Data by P. A. Khmarskiy

“…An automated approach for optimizing the parameters of a gait phase detector based on data from a three-axis foot-mounted accelerometer is presented. …”
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A Study on Information Classification and Storage in Cloud Computing Data Centers Based on Group Collaborative Intelligent Clustering by Jie Ren, Lijuan Liu

“…Internet of things (IoT) and cloud computing are combined to form a cloud computing data center, and cloud computing provides virtualization, storage, computing, and other support services for IoT applications. …”
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A framework for advancing independent air quality sensor measurements via transparent data generating process classification by Sebastian Diez, Thomas J. Bannan, Miriam Chacón-Mateos, Pete M. Edwards, Valerio Ferracci, Doğuşhan Kılıç, Alastair C. Lewis, Carl Malings, Nicholas A. Martin, Olalekan Popoola, Colleen Rosales, Sean Schmitz, Philipp Schneider, Erika von Schneidemesser

“…Abstract We propose operational definitions and a classification framework for air quality sensor-derived data, thereby aiding users in interpreting and selecting suitable data products for their applications. …”
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Gaussian Process Regression (GPR)-based missing data imputation and its uses for bridge structural health monitoring by Matteo Dalmasso, Marco Civera, Valerio De Biagi, Bernardino Chiaia

“…However, in field applications, the SHM framework is often hampered by practical issues. …”
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Enhancing Security of Telemedicine Data: A Multi-Scroll Chaotic System for ECG Signal Encryption and RF Transmission by José Ricardo Cárdenas-Valdez, Ramón Ramírez-Villalobos, Catherine Ramirez-Ubieta, Everardo Inzunza-Gonzalez

“…This approach demonstrates the potential for broader applications in modern telemedicine environments, providing a reliable and efficient solution for the secure transmission of healthcare data.…”
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Design and analysis of a small satellite design hosting lidar sensor for data acquisition aimed at environmental protection by Paschalidis Maria, Kolios Stavros

“…The final section assesses the role of satellite data in C6ISR (Command, Control, Communications, Computers, Cyber, Intelligence, Surveillance, and Reconnaissance) information management systems and their applications in Greek spotlight. …”
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A New Machine Learning Algorithm for Regional Low-Carbon Economic Development Analysis Based on Data Mining by Xinlei Liu

“…Firstly, this paper mainly is aimed at the connotation of regional low-carbon economic development mode, studying the basic mode of regional low-carbon economic development, and analyzing the characteristics and applicable conditions of each mode. Secondly, based on the machine learning algorithm of data mining, the main mode selection of regional low-carbon economic development is discussed. …”
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Groundwater Storage Estimation in the Saskatchewan River Basin Using GRACE/GRACE-FO Gravimetric Data and Machine Learning by Mohamed Hamdi, Anas El Alem, Kalifa Goita

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A mixed methods and triangulation model for increasing the accuracy of adherence and sexual behaviour data: the Microbicides Development Programme. by Robert Pool, Catherine M Montgomery, Neetha S Morar, Oliver Mweemba, Agnes Ssali, Mitzy Gafos, Shelley Lees, Jonathan Stadler, Angela Crook, Andrew Nunn, Richard Hayes, Sheena McCormack

“…<h4>Methodology/principal findings</h4>Data were collected from a random subsample of 725 women (7.7% of the trial population) using structured interviews, coital diaries, in-depth interviews, counting returned gel applicators, focus group discussions, and ethnography. …”
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Predictive modeling of Cbr and compressibility in lime stabilized lateritic soil using machine learning and Pchip data augmentation by Hyginus Obinna Ozioko, Emmanuel Ebube Eze

“…The study’s novelty lies in its integration of PCHIP for data augmentation and interpretable ML for precise CBR prediction. …”
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Editorial: Instruments and support practices for the achievement of Open Science goals – For a review of data in Criminal Procedural Law by Bruna Capparelli

“…This article discusses the applicability of open peer review to criminal investigation data. …”
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Development of Recurrent Neural Networks for Thermal/Electrical Analysis of Non-Residential Buildings Based on Energy Consumptions Data by Elisa Belloni, Flavia Forconi, Gabriele Maria Lozito, Martina Palermo, Michele Quercio, Francesco Riganti Fulginei

“…Simplifying input variables can enhance the applicability of artificial intelligence techniques in predicting energy and thermal performance. …”
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A Comparative Analysis of Black-Box and Glass-Box Models for Poplar Plantation Mapping with Remote Sensing Data by M. Y. Ozturk, I. Colkesen

“…Poplar trees are essential for industrial afforestation applications due to their globally recognized plantation practices, reputation, ability to produce a large quantity of raw material in a short time, diverse applications in wood production, suitability for hybridisation and breeding implementations, and the availability of various species and clones adapted to the soil and climate conditions. …”
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Advances in LUCAS Copernicus 2022: enhancing Earth observations with comprehensive in situ data on EU land cover and use by R. d'Andrimont, M. Yordanov, F. Sedano, A. Verhegghen, P. Strobl, S. Zachariadis, F. Camilleri, A. Palmieri, B. Eiselt, J. M. Rubio Iglesias, M. van der Velde

“…With approximately 150 000 polygons collected in 2022, an increase from 60 000 in 2018, the LUCAS Copernicus 2022 data provide a unique and comprehensive in situ dataset for EO applications. …”
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Design of Low-Power Structural FIR Filter Using Data-Driven Clock Gating and Multibit Flip-Flops by Lamjed Touil, Abdelaziz Hamdi, Ismail Gassoumi, Abdellatif Mtibaa

“…Data-driven clock gating (DDCG) and multibit flip-flops (MBFFs) are two low-power design methods that are used and often treated separately. …”
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An annotated morphological dataset for Uzbek word forms: Towards rule-based and machine learning approachesMendeley Data by Nilufar Abdurakhmonova, Raima Shirinova, Rano Sayfullayeva, Davlatyor Mengliev, Bahodir Ibragimov, Manzura Ernazarova

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Biomarker discovery studies for patient stratification using machine learning analysis of omics data: a scoping review by Rita Banzi, Jacques Demotes, Paula Garcia, Enrico Glaab, Armin Rauschenberger, Chiara Gerardi

“…These include study design choices to ensure sufficient statistical power for model building and external testing, suitable combinations of non-targeted and targeted measurement technologies, the integration of prior biological knowledge, strict filtering and inclusion/exclusion criteria, and the adequacy of statistical and machine learning methods for discovery and validation.Conclusions While most clinically validated biomarker models derived from omics data have been developed for personalised oncology, first applications for non-cancer diseases show the potential of multivariate omics biomarker design for other complex disorders. …”
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Data structures for compound promiscuity analysis: promiscuity cliffs, pathways and promiscuity hubs formed by inhibitors of the human kinome by Filip Miljković, Jürgen Bajorath

“…Promiscuity assessment is also affected by data sparseness. Given the rapid growth of kinase inhibitor data, the relevance of PC/PCP/PH information for medicinal chemistry and chemical biology applications will further increase.…”
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A review of clinical and preclinical data supporting a role for resveratrol in the treatment of common respiratory tract pathogens by Giulio Dinardo, Michele Miraglia del Giudice, Lorenzo Drago, Maria Daglia, Alessandra Gori, Attilio Varricchio, Chiara Trincianti, Enrico Tondina, Francesco Paolo Brunese, Giulia Brindisi, Matteo Naso, Anna Maria Zicari, Giorgio Ciprandi, Cristiana Indolfi

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Steganography Scheme Based on Reed-Muller Code with Improving Payload and Ability to Retrieval of Destroyed Data for Digital Images by A. M. Molaei, M. H. Sedaaghi, H. Ebrahimnezhad

“…Therefore, the proposed algorithm has a blind detection process which is more suitable for practical and online applications. The simulation results show that the proposed algorithm is also able to retrieve destroyed data by intentional or unintentional attacks such as addition of noise and filtering due to use of the error correction code. …”
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