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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Sensitivity Study of WRF Parameterization Schemes and Initial Fields on Rainstorm Simulation in Minjiang River Basin by LIN Sinuo, ZHANG Yinchi, SUN Shao, GUAN Xiaojun, JIANG Caiying, GAO Lu

“…As one of the most dominant weather forecasting tools,numerical models have been widely employed for early warning and prediction of strong weather processes such as extreme rainfalls.In practical forecasting operations,numerical models are affected by initial fields,boundary conditions,and parameterization schemes,which makes it difficult to conduct long-time accurate forecasts.Based on the new-generation mesoscale numerical weather forecasting model,i.e.…”
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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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Characterisation of precursory seismic activity towards early warning of landslides via semi-supervised learning by David Murray, Lina Stankovic, Vladimir Stankovic, Stella Pytharouli, Adrian White, Ben Dashwood, Jonathan Chambers

“…Through semi-supervised learning for seismic event detection from continuous seismic recordings over a period of about 10 years, we demonstrate that timely landslide induced displacement prediction is possible, providing the basis for landslide early warning systems. …”
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Dual closed-loop vector PI control and deadbeat current control of permanent magnet synchronous motor by Syed Abid Ali Shah Bukhari, Vikram Kumar, Muhammad Ahsan Niazi, Qazi Sajid

“…Alternatively, deadbeat control, leveraging current prediction, offers superior dynamic response. In this study, deadbeat control demonstrates a significant improvement of approximately 20% in current loop response compared to PI control, as evaluated through simulations. …”
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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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Anisotropic mechanical properties and cushioning effectiveness of spruce subjected to different direction loading by Zexiong Zhang, Weizhou Zhong, Jiaxing Li, Jingrun Luo

“…The anisotropic mechanical properties and cushioning effectiveness of spruce were analyzed comparatively. Three prediction formulas were proposed to investigate the mechanical properties of spruce along different loading directions. …”
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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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Multiple Regression Analysis Reveals MicroRNA Regulatory Networks in Oryza sativa under Drought Stress by Jiajia Chen, Liangzhi Li

“…Drought-responsive miRNA-mRNA regulations were identified by a combination of a partial least square (PLS) regression approach and sequence-based target prediction. A drought-induced network with 13 miRNAs and 58 target mRNAs was constructed, and four miRNA coregulatory modules were revealed. …”
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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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