ChIP-seq Data Processing and Relative and Quantitative Signal Normalization for Saccharomyces cerevisiae by Kris Alavattam, Bradley Dickson, Rina Hirano, Rachel Dell, Toshio Tsukiyama

“…Designed for researchers with minimal bioinformatics experience, it includes practical overviews and refers to scripting examples for key tasks, such as configuring computational environments, trimming and aligning reads, processing alignments, and visualizing signals. This protocol employs the sans-spike-in method for quantitative ChIP-seq (siQ-ChIP) and normalized coverage for absolute and relative comparisons of ChIP-seq data, respectively. …”
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A model for implementing vibration and sound heatmaps in smart cities based on crowdsensing data by Boban DAVIDOVIC, Maja DAVIDOVIC, Sanja DEJANOVIC

“…The final objective of the model is to generate visual heat maps related to perceptual attributes (e.g. …”
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A model for implementing vibration and sound heatmaps in smart cities based on crowdsensing data by Boban DAVIDOVIC, Maja DAVIDOVIC, Sanja DEJANOVIC

“…The final objective of the model is to generate visual heat maps related to perceptual attributes (e.g. …”
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Privacy-preserved data hiding using compressive sensing and fuzzy C-means clustering by Ming Li, Lanlan Wang, Haiju Fan

“…Experiments and analysis demonstrate that the proposed scheme can achieve higher embedding rate about additional data and better visual quality of recovered image than other state-of-the-art schemes.…”
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Transform-Based Multiresolution Decomposition for Unsupervised Learning and Data Clustering of Cellular Network Behavior by Juan Cantizani-Estepa, Sergio Fortes, Javier Villegas, Javier Rasines, Raul Martin Cuerdo, Raquel Barco

“…The generated labels are indicative of the intensity and duration of the anomalies, such labeling can be linguistic or visual, providing faster issue identification. The proposed approach has been tested with real network data, successfully separating different behaviors analyzed in the evaluation section of the manuscript.…”
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Verification for Different Contrail Parameterizations Based on Integrated Satellite Observation and ECMWF Reanalysis Data by Jinglin Zhang, Jian Shang, Guoyu Zhang

“…According to the algorithm identification (AI) and artificial visual inspection (AVI), COP measured from Himawari-8 stationary satellite imagery is related to upper tropospheric relative humidity over ice (RHI) computed with the ECMWF reanalysis data by simple linear regression. …”
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Tracking Change in Data-Driven Autobiography: Nicholas Felton’s Annual Reports, 2005–2014 by Wojciech Drąg

“…In each instalment, the author offers a visually appealing presentation of a selection of data pertaining to specific aspects of his daily life, such as work, food, drink, travel, music, photography, etc. …”
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Neural Colour Correction for Indoor 3D Reconstruction Using RGB-D Data by Tiago Madeira, Miguel Oliveira, Paulo Dias

“…With the rise in popularity of different human-centred applications using 3D reconstruction data, the problem of generating photo-realistic models has become an important task. …”
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‘DeltaCAN - A new data set of Canadian Arctic and subarctic coastal deltas’ by Mette Bendixen, Beatrice Roberge, Jenny Park, David Didier, Antoine Boisson, Haley Yorston, Lindsay Trottier, Ashley Hoblyn, Jackie Lee, Sadie MacDonald, Shan Zhao, Lauren Traboulsee, Arthur Rebillard, Lars Lønsmann Iversen

“…Here, we present DeltaCAN, a novel data set on the locations of Canadian deltas larger than 500 m in width derived by visual interpretation of freely available satellite imagery. …”
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Garbage In, Flowers Out: Noisy Training Data Help Generative Models at Test Time by Alberto Testoni, Raffaella Bernardi

“…We assess the validity of the proposed method on GuessWhat?!, a visual referential game. We show that our method improves the linguistic quality of the generated dialogues, and it leads to higher accuracy of the guessing task; simple perturbations of the ground-truth dialogue history that mimic machine-generated data do not account for a similar improvement. …”
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Applications of machine learning in glaucoma diagnosis based on tabular data: a systematic review by Mohammad Hasan Shahriari, Farkhondeh Asadi, Hamid Moghaddasi, Arash Roshanpour, Farideh Sharifipour, Zahra Khorrami

“…The findings reveal that structured data, including optical coherence tomography (OCT), visual field (VF) tests, and demographic factors, significantly enhance diagnostic accuracy. …”
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Analysis and interpretation of aeromagnetic data for Wadi Zeidun area, Central Eastern Desert, Egypt by Mohammad G. Al-Ibiari, Atef A.M. Ismail, Ahmed A. El-Khafeef, Alhussein A. Basheer, Ali M.M. El-laban, Yara Tarek

“…Keywords: Wadi Zeidun, RTP magnetic data, Power spectrum curve, Source Parameter Image, Analytical Signal, 2-D modelling…”
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SPMgr: Dynamic workflow manager for sampling and filtering data streams over Apache Storm by Youngkuk Kim, Siwoon Son, Yang-Sae Moon

“…Storm Plan Manager is an integrated workflow manager that dynamically controls sampling and filtering of data streams through plans. Third, as a key feature, Storm Plan Manager provides a Web client interface to visually create, execute, and monitor plans. …”
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A data augmentation procedure to improve detection of spike ripples in brain voltage recordings by Emily D. Schlafly, Daniel Carbonero, Catherine J. Chu, Mark A. Kramer

“…Our study explores long-short term memory (LSTM) neural network architectures for spike ripple detection, leveraging data augmentation to improve classifier performance. …”
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Towards Effective Participation: A Stakeholder-Centered Evaluation for Aggregating Spatially Explicit Data by Sebastian Leahy, Eduardo Dias

“…Through the employment of a participatory mapping experiment within an ongoing urban greening initiative, this research aims at validating two established aggregation methods of spatially explicit data points in participatory mapping. Utilizing a paper mapping activity with community residents, the collected spatial data points were analyzed using both democratic and weighted aggregation. …”
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The Integration of Geospatial Data for the BIM-Based Inventory of a Skatepark—A Case Study by Przemysław Klapa, Maciej Małek

“…Leveraging the integrated point cloud and photographic data aids in identifying elements and construction materials, facilitating the creation of detailed technical documentation and life-like visualizations. …”
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Terrain and Atmosphere Classification Framework on Satellite Data Through Attentional Feature Fusion Network by Antoni Jaszcz, Dawid Połap

“…The proposed classifier architecture is the main element of the modeled framework for satellite data analysis, which is based on the possibility of training depending on the client’s desire. …”
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Spatial and Temporal Distribution Analysis of Traffic Accidents Using GIS-Based Data in Harbin by Meina Wang, Jing Yi, Xirui Chen, Wenhui Zhang, Tiangang Qiang

“…Road traffic accident data from 2016 to 2018 in Harbin, China, were used for the analysis. …”
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Online Learning of Stabilizing Controllers Using Noisy Input-Output Data and Prior Knowledge by Nariman Niknejad, Farnaz Adib Yaghmaie, Hamidreza Modares

“…The methodology is validated through simulations, including an unstable scalar system visualizing the integration of prior knowledge and data, and a rotary inverted pendulum demonstrating controller effectiveness in a nonlinear, unstable setting.…”
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Aging2Cancer: an integrated resource for linking aging to tumor multi-omics data by Dahua Xu, Yutong Shen, Nihui Zhang, Guoqing Deng, Dehua Zheng, Peihu Li, Jiale Cai, Guanghui Tian, Qingchen Wei, Hongyan Jiang, Jiankai Xu, Bo Wang, Kongning Li

“…Users can search for and visualize the results of genes of interest to explore the relationships between aging and cancer at the gene level for different omics levels. …”
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