Vision-based detection algorithm for monitoring dynamic change of fire progression by Yongyoon Suh

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Cloud-Based Intrusion Detection Approach Using Machine Learning Techniques by Hanaa Attou, Azidine Guezzaz, Said Benkirane, Mourade Azrour, Yousef Farhaoui

“…Particularly, the security of resources and services represents a real challenge for cloud technologies. For this reason, a set of solutions have been implemented to improve cloud security by monitoring resources, services, and networks, then detect attacks. …”
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Partitioning Dichotomous Items Using Mokken Scale Analysis, Exploratory Graph Analysis and Parallel Analysis: A Monte Carlo Simulation by Gomaa Said Mohamed Abdelhamid, María Dolores Hidalgo, Brian F. French, Juana Gómez-Benito

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Discovering microproteins: making the most of ribosome profiling data by Sonia Chothani, Lena Ho, Sebastian Schafer, Owen Rackham

“…In this review, we describe the power of Ribo-seq data in detection of smORFs while discussing the major challenge posed by data-quality, -depth and -sparseness in identifying the start and end of smORF translation. …”
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Single Transit Detection in Kepler with Machine Learning and Onboard Spacecraft Diagnostics by Matthew T. Hansen, Jason A. Dittmann

“…Our neural network pipeline has the potential to discover additional planets in the Kepler data set, and crucially, within the η -Earth regime. …”
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Automated system for automatic data acquisition for PEM electrolyzer by Vishwapranav P, Gowthaman N, Ganesan Pandian, Saikrishna V, Veeramani Vediappan, Florence Gnana Poovathy J

“…Traditionally, this process is labor dependent, requires human inspection and impedance measurement of each stack, which is time-consuming, prone to human error, and may lead to delayed detection of anomalies. Thus, developing an automatic system that constantly acquires data from the cell stack with the integration of sensors (such as current and voltage) can significantly improve cell efficiency, economize cost as cells are made of materials such as platinum which is highly expensive, also preventing changes in torque set and significant time conservation. …”
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Photospectral Data Obtaining with the Unmanned Aerial Spectrometry Vehicle by A. A. Lamaka, A. V. Gutarau, N. G. Shcherbakou, P. V. Ivuts

“…An automatic merging of a set of images using key points detection was made. …”
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Federated learning-driven IoT system for automated freshness monitoring in resource-constrained vending carts by Thompson Stephan, Padma Priya Dharishini Paramana, Chia-Chen Lin, Saurabh Agarwal, Rajan Verma

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Multilevel Analysis for Repeated Measures Data in Lambs1 by Suna Akkol, Ferda Karakuş, Fırat Cengiz

“…The data set used for this purpose consisted of live weight records of 52 crossbred lambs from birth to 182 days of age. …”
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A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification by Muhammad Anwaar Khalid, Kanwal Zulfiqar, Ulfat Bashir, Areeba Shaheen, Rida Iqbal, Zarnab Rizwan, Ghina Rizwan, Muhammad Moazam Fraz

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RGB and RGNIR image dataset for machine learning in plastic waste detectionZENODO by Owen Tamin, Ervin Gubin Moung, Jamal Ahmad Dargham, Samsul Ariffin Abdul Karim, Ashraf Osman Ibrahim, Nada Adam, Hadia Abdelgader Osman

“…The proposed dataset offers a unique resource for researchers to train machine learning models for plastic waste detection. While there are existing datasets on plastic waste, the proposed dataset aims to set itself apart by offering a more comprehensive dataset with unique spectral information in the near-infrared region. …”
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Information-Theoretic Modeling of Categorical Spatiotemporal GIS Data by David Percy, Martin Zwick

“…These findings are interpreted as detecting forest clear-cut cycles that show up in the data and explain why this class is so dynamic. …”
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Temporal record linkage for heterogeneous big data records by Reham I. Abdel Monem, Ehab E. Hassanein, Ali Z. El Qutaany

“…It introduces data cleansing and state ranking modules to detect anomalies within similar entities, find the final and accurate set of them, and explain anomalies to the users or domain experts in a comprehensible manner that not only offers increased business intelligence but also opens opportunities for improved solutions. …”
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A Submerged and Buried Mesolithic Site off Svanemøllen Harbor, Copenhagen, Denmark: Acoustic Detection (Human-Altered Lithic Detection) and Verification by Means of Coring by Lars Ole Boldreel, Ole Grøn, Rostand Boumda Tayong, Bo Madsen, Ole Bennike, Morten Sparre Andersen

“…Teledyne Chirp III high-resolution seismic data were acquired over a three-year period at a water depth of 6.0–9.0 m, with a clear concentration of acoustic “haystack” features, in the dredged Svanemøllen Harbor, Copenhagen. …”
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SETI@home: Data Acquisition and Front-end Processing by E. J. Korpela, D. P. Anderson, J. Cobb, M. Lebofsky, W. Liu, D. Werthimer

“…The front end of SETI@home produces a set of detections that exceed thresholds in power and goodness of fit. …”
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Automatic Detection and Classification of Aurora in THEMIS All‐Sky Images by Jeremiah W. Johnson, Doğacan Su Öztürk, Donald Hampton, Hyunju K. Connor, Matthew Blandin, Amy Keesee

“…We further investigate the occurrence rates of auroral phenomena in the annotated data set and their geoeffectiveness by utilizing the co–located THEMIS ground magnetometer data set.…”
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Anomaly detection research using Isolation Forest in Machine Learning by A. S. Kechedzhiev, O. L. Tsvetkova

“…The study is devoted to assessing the applicability of the Isolation Forest method in the task of detecting anomalies in network traffic data characterized by insufficient markup. …”
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A protocol for the evaluation of the PneumoWave biosensor in supported accommodation settings: A study on feasibility and acceptability (RESCU-2). by Basak Tas, Lewis Beer, Elizabeth Appiah-Kusi, Will Lawn, Iona Belov, Polly Radcliffe, Andrew Radley, Bruce Henderson, Osian Meredith, Catriona Cowan, Stuart Kelly, Holly Maxwell Pringle, Alex Adam, John Strang, John F Dillon

“…Statistical analysis will include descriptive evaluation of feasibility outcomes, while qualitative data will undergo thematic analysis. The primary objectives of the study are: 1) feasibility of the study protocol within the hostel setting; 2) acceptability and usability of the device among people who use opioids and live in hostels; 3) acceptability of the device among staff who work in hostels and respond to overdose events. …”
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Implementation of Intrusion detection and prevention with Deep Learning in Cloud Computing by Doddi Srilatha, N. Thillaiarasu

“…Canadian Institute of Cyber security introduced a new data set, the CICIDS2017 network data set, which solved the NSL-KDD problem. …”
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Conformal Segmentation in Industrial Surface Defect Detection with Statistical Guarantees by Cheng Shen, Yuewei Liu

“…The latter constructs a prediction set on which a given guarantee for detection will be obtained. …”
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