Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety by Haohan Ding, Haoke Hou, Long Wang, Xiaohui Cui, Wei Yu, David I. Wilson

“…Furthermore, the advantages and disadvantages of RNNs and traditional statistical modeling methods in processing time series data are discussed. …”
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The impact of parameter variation in the quantification of forensic genetic evidence by Camila Costa, Carolina Figueiredo, Sandra Costa, Paulo Miguel Ferreira, António Amorim, Lourdes Prieto, Nádia Pinto

“…To reach this goal, three PGS, based on different statistical models, were used to analyze real casework pairs of samples composed of a mixture with either two or three estimated contributors, and a single-source sample associated. …”
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Detection of Malignancy Associated Changes in Cervical Cell Nuclei Using Feed-Forward Neural Networks by Roger A. Kemp, Calum MacAulay, David Garner, Branko Palcic

“…These changes have been termed Malignancy Associated Changes (MACs). Using statistical models such as neural networks and discriminant functions it is possible to design classifiers that can separate these objects from truly normal cells. …”
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Bayesian Analysis of Complex Mutations in HBV, HCV, and HIV Studies by Bing Liu, Shishi Feng, Xuan Guo, Jing Zhang

“…It is particularly difficult to detect and interpret these interacting mutation patterns, but by using Bayesian statistical modeling, it provides a groundbreaking opportunity to solve these problems. …”
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Low-Resource Active Learning of Morphological Segmentation by Stig-Arne Grönroos, Katri Hiovain, Peter Smit, Ilona Rauhala, Kristiina Jokinen, Mikko Kurimo, Sami Virpioja

“…We study how to create a statistical model for morphological segmentation with a large unannotated corpus and a small amount of annotated word forms selected using an active learning approach. …”
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Statistical Prediction of the South China Sea Surface Height Anomaly by Caixia Shao, Weimin Zhang, Chunjian Sun, Xinmin Chai, Zhimin Wang

“…Results indicate that the valid forecast time of SCS SSHA of the statistical model is about 7 months, and the predictability of SCS SSHA in Spring and Autumn is stronger than that in Summer and Winter. …”
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A Gateway Deployment Heuristic for Enhancing the Availability of Sensor Grids by Majid Hussain, Ki-Hyung Kim, Ali Hammad Akbar, Shehzad Khalid, Seung-Jin Bang, Mohsin Javed, Madiha Amjad

“…This research focuses on statistically modeling the energy consumption of single gateway sensor grids in terms of network availability by analyzing different energy consumption phenomena with communication as a grid-wide routing problem. …”
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Characterization of Sleep Structure and Autonomic Dysfunction in REM Sleep Behavior Disorder by Nicla Mandas, Maximiliano Mollura, Giulia Baldazzi, Parisa Sattar, Maria Mura, Elisa Casaglia, Michela Figorilli, Laura Giorgetti, Pietro Mattioli, Francesco Calizzano, Francesco Fama, Dario Arnaldi, Monica Puligheddu, Danilo Pani, Riccardo Barbieri

“…<italic>Methods:</italic> To this aim, an innovative framework combining a sleep transition model, by Markov chains, with an instantaneous assessment of autonomic state dynamics by statistical modeling of heart rate variability (HRV) dynamics through a point-process approach, was introduced. …”
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Increased Contribution of Extended Vegetation Growing Season to Boreal Terrestrial Ecosystem GPP Enhancement by Meng Yu, Yunfeng Cao, Jiaxin Tian, Boyu Ren

“…To achieve this, we developed a statistical model that integrates vegetation phenology and physiology, and introduced a new metric, the Relative Increment Effect (RIE), to assess the contribution of phenology extension to GPP increase. …”
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Technology license agreements as public–private partnerships for economic development: evaluations using surveys, input–output modeling, and regression analysis by Eric D. Raile, Eric K. Austin, Michael P. Wallner, Jeffrey Peterson, Brian Lewandowski, Derek Kapps, Bridger Sellegren, Joe Hutton

“…While the majority of license agreements with sales belong to smaller companies (which often attract additional investment), some large companies generate higher revenues. Further statistical modeling with the heavily anonymized data identifies features of license agreement situations that influence economic outcomes. …”
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Bioinformatics Analysis of Transcriptomic Data Reveals Refined Functional Networks for the Self-Renewal of Mouse Spermatogonial Stem Cells by Min Wang, Wene Zhao, Fuqiang Wang, Xiufeng Ling, Daozhen Chen, Tao Zhou, Ying Wang

“…Using a dynamic statistical model, we identified a list of 1119 candidate genes for SSC self-renewal with the best enrichment of canonical markers. …”
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Optimization of Aeration and Agitation Rate for Lipid and Gamma Linolenic Acid Production by Cunninghamella bainieri 2A1 in Submerged Fermentation Using Response Surface Methodolog... by Normah Saad, Peyman Abdeshahian, Mohd Sahaid Kalil, Wan Mohtar Wan Yusoff, Aidil Abdul Hamid

“…The optimization was carried out using response surface methodology based on a central composite design. A statistical model, second-order polynomial model, was adjusted to the experimental data to evaluate the effect of key operating variables, including aeration rate and agitation speed on lipid production. …”
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Position Verification in Connected Vehicles for Cyber Resilience Using Geofencing and Fuzzy Logic by Maria Drolence Mwanje, Omprakash Kaiwartya, Abdallah Naser

“…Previous attempts to verify location information have used specific hardware, traffic parameters, and statistical model-based techniques dependent on neighbouring vehicles and roadside infrastructure and whose judgements can be influenced by untrustworthy entities. …”
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Morphological analysis of cold-water coral skeletons for evaluating in silico mechanical models of reef-scale crumbling by Marta Peña Fernández, Josh Williams, Janina V. Büscher, Janina V. Büscher, J. Murray Roberts, Sebastian J. Hennige, Uwe Wolfram, Uwe Wolfram

“…Future in silico mechanical models should statistically model these variations to be used as monitoring tools for predicting risk of cold-water coral reefs crumbling.…”
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Relationships between Loneliness and Occupational Dysfunction in Community-Dwelling Older Adults: A Cross-Sectional Study by Daiki Nakashima, Keisuke Fujii, Yuta Kubo, Kyosuke Yorozuya

“…Seventy-four older adults (12 men and 62 women; mean age 73.9±8.3 years) completed a questionnaire survey that included the Japanese version of the UCLA Loneliness Scale Version 3 and the Classification and Assessment of Occupational Dysfunction (CAOD). Bayesian statistical modeling was used for a more stable estimation given the small sample. …”
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Modeling of the COVID-19 Cases in Gulf Cooperation Council Countries Using ARIMA and MA-ARIMA Models by Rahmatalla Yagoub, Hussein Eledum

“…This paper, therefore, subjected the daily reported COVID-19 cases of these three variables to some statistical models including classical ARIMA, kth SMA-ARIMA, kth WMA-ARIMA, and kth EWMA-ARIMA to study the trend and to provide the long-term forecasting of the confirmed, recovery, and death cases of the novel COVID-19 pandemic in the GCC countries. …”
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Predictors of poor psychological functioning of healthcare workers based in Greece during the COVID-19 pandemic by Basant K. Puri, Anastasia Miari, Maria Theodoratou

“… # Results The statistical model (p \< 10^-10^) indicated that smoking or taking drugs to calm anxiety, feeling ashamed, and being overwhelmed by one's feelings were all predictors of poor psychological functioning. …”
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Modeling the Phylogenetic Rates of Continuous Trait Evolution: An Autoregressive–Moving-Average Model Approach by Dwueng-Chwuan Jhwueng

“…The rates of continuous evolution plays a crucial role in understanding the pace at which species evolve. Various statistical models have been developed to estimate the rates of continuous trait evolution for a group of related species evolving along a phylogenetic tree. …”
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The contributions of language and inhibitory control to false belief reasoning over time by Jill G. de Villiers, Peter de Villiers

“…However, the empirical studies so far have fallen short, in that they generally have too few participants for adequate statistical modeling; they do not include control variables; or they are cross-sectional rather than longitudinal, making inferences about causal direction much more tenuous.MethodsThe present study considers the role of these different variables in the development of false belief reasoning over several months of testing, with 258 children aged three to five years. …”
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Fast binary logistic regression by Nurdan Ayse Saran, Fatih Nar

“…This study presents a novel numerical approach that improves the training efficiency of binary logistic regression, a popular statistical model in the machine learning community. Our method achieves training times an order of magnitude faster than traditional logistic regression by employing a novel Soft-Plus approximation, which enables reformulation of logistic regression parameter estimation into matrix-vector form. …”
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