Reliable unmanned aerial vehicle-based thermal infrared target detection method for monitoring Procapra przewalskii in Qinghai by Guoqing Zhang, Wei Luo, Yongxiang Zhao, Quanqin Shao, Lin Li, Keyu Mei, Guohong Li

“…Background-suppressed images can effectively minimize most background pixels, while regions with high vector values in optical flow–processed images indicate object positions. The model extracts raw feature data, object details, and movement information from these inputs to improve detection performance. …”
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Risk assessment and hierarchical classification of foodborne disease epidemics during major events in Beijing: an empirical study based on surveillance data analysis by Jinru JIANG, Yangbo WU, Tongyu WANG, Chao WANG, Yanlin NIU, Di WANG, Liping LI, Qian CHEN, Yao ZHAO, Xiaochen MA

“…ConclusionsFoodborne disease risk assessment for major events should be based on the characteristics of the event, previous experience with major events, and foodborne disease surveillance data from the same period. Prevention measures should focus on high and medium risk factors and those at the top of the Borda ordinal, and carry out monitoring and testing in the procurement, storage, processing and other links of raw materials, formulate recipes scientifically, do a good job in personnel health and training, and prevent cross-contamination.…”
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Synthetic Data-Enhanced Classification of Prevalent Osteoporotic Fractures Using Dual-Energy X-Ray Absorptiometry-Based Geometric and Material Parameters by Luca Quagliato, Jiin Seo, Jiheun Hong, Taeyong Lee, Yoon-Sok Chung

“…Results The XGB model trained on raw data demonstrated good prediction capabilities, with an area under the curve (AUC) of 0.78 and an F1 score of 0.71 on test cases. …”
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Application of “high-fidelity and high-resolution” processing technology in thin reservoir identification: A case study of the deep Permian Maokou Formation in Penglai area, centra... by PENG Haotian, HE Qinglin, CHEN Kang, ZENG Ming, HE Zongqiang, TU Zhihui, KONG Lingxia, QU Bozhang

“…The bin size is 20 × 20 meters, with a maximum offset of 6 332.46 meters and an aspect ratio of 0.62, representing typical high-density and wide-azimuth acquisition. The raw data exhibits high noise levels, low dominant frequencies in deep layers, and narrow frequency bandwidths. …”
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A Time–Frequency-Based Data-Driven Approach for Structural Damage Identification and Its Application to a Cable-Stayed Bridge Specimen by Naiwei Lu, Yiru Liu, Jian Cui, Xiangyuan Xiao, Yuan Luo, Mohammad Noori

“…In contrast, ML-based methods, particularly deep learning approaches like convolutional neural networks (CNNs), automatically extract relevant features from raw data, improving the accuracy and adaptability of the damage identification process. …”
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Multi-temporal high-resolution data products of ecosystem structure derived from country-wide airborne laser scanning surveys of the Netherlands by Y. Shi, J. Wang, W. D. Kissling

“…By employing a recently developed, open-source, high-throughput workflow (named “Laserfarm”), we processed around 70 TB of raw point clouds collected from four national ALS surveys of the Netherlands (AHN1–AHN4, 1996–2022). …”
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Comparative Study Between Two Processes for Depolluting Waste Water from Two Wastewater Treatment Plants: Activated Sludge (Mascara) and Aerated Lagooning (Ghriss) by Bachir MAHI, Mohammed EL Amin BENDAHA, Noureddine SMAHAT, Benamar BELGHERBI

“…The variation of these parameters made it possible to determine the influence of local climatological and hydrogeological data on the purification process by activated sludge and Lagooning. …”
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Assessing the damage: analyzing the impact of the COVID-19 pandemic on accelerometer-assessed 24-hour movement behaviours in Brazilian adolescents by Marcus V. V. Lopes, Ian Janssen, Bruno G. G. da Costa, Bruno N. de Oliveira, Gabrielli T. de Mello, Jean-Philippe Chaput, Kelly S. Silva

“…The 24-h movement behaviours (i.e., light physical activity [LIPA] and moderate-to-vigorous physical activity [MVPA], sedentary behaviour [SB], and sleep time [SPT]) were assessed by processing raw accelerometer data derived from a 24-h/7-day wrist-worn protocol. …”
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Implementing the Circular Economy in the European Union and Spain: Links to the Low-Carbon Transition by Maria del P. Pablo-Romero, Antonio Sánchez-Braza, Cristóbal Torreblanca

“…This paper reviews and analyzes the process of the implementation of the circular economy in the European Union (EU) and Spain, and its links to the low-carbon transition. …”
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Risk Management in Micro, Small, and Medium Enterprises: An Empirical Analysis of SMEs Dried Fish in Bengkulu Province by Ketut Sukiyono, Muhamad Mustopa Rhomdon, Musriyadi Nabiu, Nola Windirah

“…A total of 273 dried fish processing MSMEs were surveyed and interviewed. The data were analyzed using descriptive statistics and risk management approach. …”
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GPR Sensing and Visual Mapping Through 4G-LTE, 5G, Wi-Fi HaLow, and Wi-Fi Hotspots with Edge Computing and AR Representation by Scott Tanch, Alireza Fath, Nicholas Hanna, Tian Xia, Dryver Huston

“…Augmented reality headset representation of the F-scans is proposed as a method of assisting the operator in using the edge-processed scans. These promising results bode well for the potential of remote processing of GPR data in augmented reality applications.…”
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Near‐Surface Air Temperature Profile in Maritime Antarctica (2006–2023) by Miguel Angel dePablo

“…These include investigating snowpack thermophysical properties, ground‐atmosphere energy exchanges, snow hydrology, ecological processes, and remote sensing calibration. Raw data in American Standard Code for Information Interchange (ASCII) format, without filtering or preprocessing, are made available to ensure flexibility for diverse research needs, allowing users to apply tailored cleaning and analysis protocols. …”
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Mathematical Modelling of the Parameters of Braided Textile Tapes by Ievgeniia Romaniuk, Olga Garanina, Yana Red'ko, Natalia Borshchevska, Serhiy Kamenets Serhiy, Kernesh Viktoriia

“…The limits of factor variation were determined for four types of raw materials. Based on the results of the processing of the obtained experimental data, linear mathematical models were developed. …”
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Challenges of manufacturing for energy efficiency: towards a systematic approach through applications of machine learning by Elaheh Gholamzadeh Nabati, Maria Teresa Alvela Nieto, Dennis Bode, Thimo Florian Schindler, André Decker, Klaus-Dieter Thoben

“…The raw data for a 5-step approach were collected in research projects with manufacturing SMEs, and information about the processes through interviews and workshops with them. …”
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Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

“…This study analyzes temperature time series data from the Nairobi County in Kenya, aiming to develop accurate hybrid time series forecasting models. …”
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GC-MS/MS and HR-LCMS-QTOF analysis of various extracts of Saraswata Ghrita: A comprehensive dataset on phytochemical compoundsMendeley Data by Robin Badal, Shivani Ranjan, Sudhanshu Kumar Jha, Lalan Kumar, Ashok Kumar Patel, Pramod Yadav, Pradeep Kumar Prajapati

“…Advanced chromatographic and spectrometric techniques were employed, integrating mass spectrometric detection, retention time analysis, and cheminformatics-based compound classification. Spectral data were processed using multiple databases, ensuring accurate compound annotation. …”
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Cross-evaluation of wearable data for use in Parkinson’s disease research: a free-living observational study on Empatica E4, Fitbit Sense, and Oura by Haakon Reithe, Brice Marty, Juan C. Torrado, Elise Førsund, Bettina S. Husebo, Ane Erdal, Simon U. Kverneng, Erika Sheard, Charalampos Tzoulis, Monica Patrascu

“…We also found variation in terms of access to raw data, sampling rate and level of device-native processing, ease of use, retrieval of data, and design. …”
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CONCRETE COMPOSITES USING GRAND-SANDY MIXTURES OF DEPOSITS OF THE CHECHEN REPUBLIC by A. Kh. Alaskhanov, S.-A. Yu. Murtazaev, M. S. Saidumov, M. S.-M. Khubaev

“…Objectives Development of optimal recipes of concrete mixtures using local natural raw materials in the form of gravel-sand mixtures from deposits of the Chechen Republic.Method The research methods adopted in the work are based on the theoretical principles and laws of designing and optimizing polydisperse multicomponent systems, the phase and structure formation of clinker minerals, the logic of mathematical calculations, the technological features of the structure formation of composite masses, the theoretical principles of controlling the rheological processes of mixes. …”
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Exploiter un corpus de données textuelles sans post-traitement : l’écriture burlesque de la Fronde by Karine Abiven, Jean-Baptiste Tanguy, Gaël Lejeune

“…We choose to exploit these raw data, without post-processing or text correction, which still seems to allow us to obtain results (regarding lexicon, metre or enunciation), with various methods (textometry and observation of character n-grams). …”
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Semantic Schema Extraction in NoSQL Databases using BERT Embeddings by Saad Belefqih, Ahmed Zellou, Mouna Berquedich

“…The study reveals interdisciplinary intersections, using NLP to unveil structures in scenarios lacking explicit schemas, showcasing significant potential for autonomous schema extraction from raw, unstructured data formats.…”
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