FSAS: An IoT-Based Security System for Crop Field Storage by Chandra Prakash, Anurag Barthwal, Shwetank Avikal, Gyanendra Kumar Singh

“…The sensor signal is transmitted to the cloud whenever the intruder is within the sensing range of the sensor node. Naive Bayes’ prediction model is used to identify the level of encroachment as no (green), mild (yellow), or high (red) threat. …”
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Financial Crisis Early Warning Based on Panel Data and Dynamic Dual Choice Model by Qingyu Du

“…The final prediction results show that the probability of a systemic financial crisis in China in 2020 is extremely low, almost zero. …”
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Microchannels Effective Method for the Extraction of Oleuropein Compared with Conventional Methods by Mahnaz Yasemi, Amir Heydarinasab, Masoud Rahimi, Mehdi Ardjmand

“…In current research, a response surface methodology (RSM) was used for prediction of the optimal values of parameters affecting the extraction of oleuropein through two methods of ultrasound and microchannel. …”
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A Ship Collision Analysis Program Based on Upper Bound Solutions and Coupled with a Large Rotational Ship Movement Analysis Tool by Hervé Le Sourne, Nicolas Besnard, Cedric Cheylan, Natacha Buannic

“…This paper presents a user-friendly rapid prediction tool of damage to struck and striking vessels in a ship collision event. …”
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Species distribution modelling of invasive alien species; Pterois miles for current distribution and future suitable habitats by C. Turan

“…The present study aims to predict the potential geographic distribution and future expansion of invasive alien lionfish (<em>Pterois miles</em>) with ecological niche modelling along the Mediterranean Sea. …”
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An Examination of Temporal and Spatial Trends of Growing Degree Days in Turkey by İlhami Doğan, Murat Karabulut

“…Growing degree-days (GDD) is one of the phenological prediction models based on meteorological variability. …”
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Experimental investigation on flow pattern and void fraction for two-phase gas-liquid upflow in a vertical helically coiled micro-channel by Sira Saisorn, Phakkhanan Benjawun, Adirek Suriyawong, Somchai Wongwises

“…The slip ratio data explicitly showed that the annular flow tended to be highly affected by the secondary flow when compared to the throat-annular flow. The prediction based on different approaches indicated that the data aligned well with drift flux model incorporating inertia and channel orientation effects.…”
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A co-estimation framework of state of health and remaining useful life for lithium-ion batteries using the semi-supervised learning algorithm by Xiaoyu Li, Mohan Lyv, Xiao Gao, Kuo Li, Yanli Zhu

“…To ensure the safe operation of lithium-ion batteries, it is crucial to accurately predict their state of health (SOH) and remaining useful life (RUL). …”
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Implementation of Genetic Algorithm Integrated with the Deep Neural Network for Estimating at Completion Simulation by Karrar Raoof Kareem Kamoona, Cenk Budayan

“…The proposed DNN model is authenticated against one of the predominated intelligent models conducted on the EAC prediction, namely, support vector regression model (SVR). …”
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Dynamic multiday seizure cycles and evolving rhythms in a tetanus toxin rat model of epilepsy by Parvin Zarei Eskikand, Mark J. Cook, Anthony N. Burkitt, David B. Grayden

“…One emerging area of interest is the identification of seizure cycles, including multiday patterns, which may offer insights into seizure prediction and treatment optimization. This study investigated multiday seizure cycles in a Tetanus Toxin (TT) rat model of epilepsy. …”
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Coincidence Detection Using Spiking Neurons with Application to Face Recognition by Fadhlan Kamaruzaman, Amir Akramin Shafie, Yasir M. Mustafah

“…This classifier uses coincidence detection (CD) strategy trained in supervised manner using a novel supervised learning method called τs Prediction which adjusts the precise timing of output spikes towards the desired spike timing through iterative adaptation of τs. …”
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Ordinal Analysis of Variation of Sensory Responses in Combination with Multinomial Ordered Logistic Regression vs. Chemical Composition: A Case Study of the Quality of a Sausage fr... by Tamar Gadrich, Francesca R. Pennecchi, Ilya Kuselman, D. Brynn Hibbert, Anastasia A. Semenova, Pui Sze Cheow

“…It is also promising for a revision of specification limits for chemical composition, as well as for the prediction of sensory properties when the chemical composition of the product is subject to quality control.…”
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IGDT-Based Robust Operation of Thermal and Electricity Energy-Based Microgrid with Distributed Sources, Storages, and Responsive Loads by Mehdi Sarlak, Abouzar Samimi, Mehdi Nikzad, Amir Hossein Salemi

“…In this paper, to access the optimal resistant solution against the maximum prediction error associated with the mentioned uncertainties, a robust model based on information gap decision theory (IGDT) is used. …”
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An Integrated Microfluidic Microwave Array Sensor with Machine Learning for Enrichment and Detection of Mixed Biological Solution by Sen Yang, Yanxiong Wang, Yanfeng Jiang, Tian Qiang

“…Specifically, the WBC measurement data are subjected to a further linear fitting. In addition, the prediction model for <i>E. coli</i> concentration, employing four different algorithms, achieves a maximum accuracy of 95.24%. …”
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Deep Multiscale Soft-Threshold Support Vector Data Description for Enhanced Heavy-Duty Gas Turbine Generator Sets’ Anomaly Detection by Zhang Kun, Li Hongren, Wang Xin, Xie Daxing, Sun Xiaokai

“…This paper introduces an innovative approach, Deep Multiscale Soft-Threshold Support Vector Data Description (DMS-SVDD), designed for the detection of anomalies and prediction of faults in heavy-duty gas turbine generator sets (GENSETs). …”
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Microseismic Monitoring, Positioning Principle, and Sensor Layout Strategy of Rock Mass Engineering by Tianhui Ma, Daoyuan Lin, Chun’an Tang, Kedar Prasad Yadav, Zhiqiang Feng, Ke Ma

“…Thus, the scientific nature of monitoring work is greatly promoted, and the accuracy and advance of the prediction of engineering and geological disasters are improved. …”
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Monitoring and Simulation of Dynamic Spatiotemporal Land Use/Cover Changes by Andong Guo, Yuqing Zhang, Qing Hao

“…By comparing the FoM and Kappa coefficients, we concluded that the prediction accuracy of partitioned MLP-MC is better than that of unpartitioned MLP-MC. …”
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Harmonization and Verification of Three National European Icing Forecast Models Using Pilot Reports by Christoph Knigge, Katie Bennett, Christine Le Bot, Mara Gehlen-Zeller, Svenja Koos

“…In this study, several methods with varying complexities are analyzed for combining three individual in-flight icing forecasts based on numerical weather prediction models from Deutscher Wetterdienst, Météo-France, and Met Office. …”
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MAGEB2-Mediated Degradation of EGR1 Regulates the Proliferation and Apoptosis of Human Spermatogonial Stem Cell Lines by Xueheng Zhao, Zenghui Huang, Yongzhe Chen, Qianyin Zhou, Fang Zhu, Huan Zhang, Dai Zhou

“…Further, using protein interaction prediction, molecular docking, and immunoprecipitation, we found that MAGEB2 interacted with early growth response protein 1 (EGR1) in SSC lines. …”
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Research of the Backfill Body Compaction Ratio Based on Upward Backfill Safety Mining of the Close-Distance Coal Seam Group by Xingping Lai, Leiming Zhang, Yun Zhang, Pengfei Shan, Peifeng Wan, Kaiwen Mu

“…Based on that, a layer spacing-BBCR-mining height (L-R-H) prediction model based on multiple linear regression analysis was established and the BBCR of close-distance coal seam group safe upward mining was determined combined with the engineering background. …”
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