Hazard analysis of future surface displacements on active faults based on the recurrence interval of strong earthquakes by Zhou Qingyun, Liu Jingnan, Tian Peng, Luo Weidong, Bai Xianfu, Yang Yue, Zou Zhenyu

“…The results indicate that the predicted future surface displacements using our method are greater than the true displacements of seismic events. …”
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Machine learning based multi-parameter droplet optimisation model study by Ting Li, Likun Lu, Qingtao Zeng, Kexin Liao

“…Moreover, the Pareto solution of the 10 sets of predicted parameters output using the BO-GP method tends to be stable with fluctuations around 0.1, and it takes only 1 h to derive the control conditions for achieving high roundness, high yield and uniform size droplets.…”
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On Detection of Sybil Attack in Large-Scale VANETs Using Spider-Monkey Technique by Celestine Iwendi, Mueen Uddin, James A. Ansere, P. Nkurunziza, J. H. Anajemba, Ali Kashif Bashir

“…An artificial spider-monkey technique is used to examine the Sybil attacking strategies on VANETs to predict the number of vehicular collisions in a densely deployed challenge zone. …”
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Experimental Demonstration of 73 Gb/s QPSK and 150 Gb/s QAM-32 Wireless Data Links in the Sub-THz Band Through Frequency Selective Surface Filters by Walter Fuscaldo, Daniele Pirrone, Dimitrios C. Zografopoulos, Antonio Ferraro, Pascal Szriftgiser, Guillaume Ducournau, Romeo Beccherelli

“…Measurement results for the EVM are predicted through an innovative use of the k-means algorithm which is here suitably modified to deal with FSS-based communications. …”
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Introducing Iterative Model Calibration (IMC) v1.0: a generalizable framework for numerical model calibration with a CAESAR-Lisflood case study by C. Banerjee, K. Nguyen, C. Fookes, G. Hancock, T. Coulthard

“…The IMC process substantially improves the agreement between CL predictions and observed data (in the context of gully catchment landscape evolution), surpassing both uncalibrated and manual approaches.…”
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Rheological changes in melts and magmas induced by crystallization and strain rate by Vetere, Francesco, Iezzi, Gianluca, Perugini, Diego, Holtz, Francois

“…This highlights the fact that a general experimental protocol is needed in order to compare and model viscosity data to predict the dynamic rheological evolution for volcanic rocks.…”
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Numerical Study of Entropy Generation due to Coupled Laminar and Turbulent Mixed Convection and Thermal Radiation in an Enclosure Filled with a Semitransparent Medium by M. Goodarzi, M. R. Safaei, Hakan F. Oztop, A. Karimipour, E. Sadeghinezhad, M. Dahari, S. N. Kazi, N. Jomhari

“…A structured mesh and the SIMPLE algorithm were utilized to model the governing equations. …”
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Low-altitude Secure Communication Driven by Deep Reinforcement Learning: An Integrated Sensing and Communication Design by Zhiqiang WEI, Jiashuo ZHANG, Fan LIU, Zai YANG, Zesong FEI

“…In the proposed scheme, artificial noise transmitted by a communication UAV is reused to simultaneously sense and jam a potential eavesdropping UAV, thereby enhancing secure communications for ground users. By estimating and predicting the state of the eavesdropping UAV, the trajectory and resource allocation design problem is reformulated as a Markov decision process. …”
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Non-contact lensless holographic reconstruction of diffractive intraocular lenses profiles by Rosa Vila-Andrés, Anabel Martínez-Espert, Walter D. Furlan, José J. Esteve-Taboada, Vicente Micó

“…Therefore, the customized topographic control of each manufactured MIOL model, along with the advancement of optical simulation routines, is increasingly necessary to provide users with optimized performance of these implanted optics, as well as predictable and realistic expectations of their future vision with these solutions. …”
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Cognitive heterogeneity in major depressive disorder: classification by IQ trajectory and multimodal neuroimaging profiles by Xiao Yang, Qimeng Liao, Min Wang, Yushun Yan, Huanhuan Fan, Jinxue Wei, Xiaohong Ma, Xiao-hong Ma

“…Premorbid IQ was estimated using a validated Wechsler Adult Intelligence Scale-based algorithm and compared to current IQ to classify patients. …”
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A Novel Underwater Wireless Optical Communication Optical Receiver Decision Unit Strategy Based on a Convolutional Neural Network by Intesar F. El Ramley, Nada M. Bedaiwi, Yas Al-Hadeethi, Abeer Z. Barasheed, Saleha Al-Zhrani, Mingguang Chen

“…The results demonstrate that our CNN-based BER estimation strategy accurately predicts the corresponding signal-to-noise ratio (SNR) and enables reliable BER estimation.…”
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A smart energy management system for surface unmanned vehicles for border surveillance missions by João F. P. Fernandes, Mário Assunção, Daniel Serrano, Pedro Afonso, Pedro Pinheiro, Hugo Marques, José Neves, Pedro Teodoro, Ricardo Póvoa, Rosa Marat-Mendes, P. J. Costa Branco

“…The developed SEMS is capable of planning a mission profile based on the predicted environmental conditions. To achieve this, one presents a new A-star algorithm with probabilistic behaviour to avoid local minimums and find alternative paths that would reduce the energy consumption in later hours of the mission. …”
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On differential privacy for federated learning in wireless systems with multiple base stations by Nima Tavangaran, Mingzhe Chen, Zhaohui Yang, José Mairton B. Da Silva Jr., H. Vincent Poor

“…The simulation results show that our proposed scheduler improves the average accuracy of the predictions compared with a random scheduler. In particular, the results show an improvement of over 6%. …”
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A zenith wet delay improved model in China based on GPT3 and random forest by Shaoni Chen, Chunhua Jiang, Xiang Gao, Huizhong Zhu, Shuaimin Wang, Guangsheng Liu

“…To more accurately capture and predict complicated variations in ZWD, this paper developed the CRZWD model by a combination of the GPT3 model and random forests (RF) algorithm using 5-year atmospheric profiles from 70 radiosonde (RS) stations across China. …”
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Continuous Real-Time Acoustic Monitoring of endangered bird species in Hawai‘i by Melissa Weidlich-Rau, Amanda K. Navine, Patrick T. Chaopricha, Felix Günther, Stefan Kahl, Thomas Wilhelm-Stein, Raymond C. Mack, Hendrik Reers, Aaron N. Rice, Maximilian Eibl, Patrick J. Hart, Patrick Wolff, Holger Klinck, Lena D. Schnell, Rogelio Doratt, Michael Loquet, Tiana Lackey

“…A novel web application allows immediate visualization of the predicted bird species, facilitating the implementation of conservation measures. …”
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Modeling the Influence of Disturbances in High-Speed Railway Systems by Ping Huang, Chao Wen, Qiyuan Peng, Chaozhe Jiang, Yuxiang Yang, Zhuan Fu

“…Specifically, the validation results show that the proposed models accurately revealed the characteristics of HSTD and that these models can be used in real-time dispatch to predict the NAT and TDT, once the basic features of disturbances are known.…”
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Improving spatiotemporal data fusion method in multiband images by distributing variates by Yihua Jin, Zhenhao Yin, Weihong Zhu, Dongkun Lee

“…Compared to existing methods, RDSFM offers several key advantages: (1) It accurately predicts seasonal variations in bands such as red and NIR, (2) It effectively handles heterogeneous landscapes and shifting land cover, and (3) It requires only one high-resolution reference image as input, minimizing data requirements. …”
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Identification of potential accident concentrations due to traffic violations by drivers, taking into account the human factor by I. E. Ilyina, E. E. Vitvitsky, K. A. Perekusikhina, V. I. Rassokha

“…The theoretical significance of the work lies in verifying the operability of the proposed algorithm for determining potential concentrations of accidents due to violations of traffic rules by the driver, taking into account the parameters of the human factor, which is also of practical interest from the point of view of predicting accident rates and developing scientifically based measures to improve road safety. …”
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Advanced Control Technique for Optimal Power Management of a Prosumer-Centric Residential Microgrid by Peter Anuoluwapo Gbadega, Yanxia Sun, Olufunke Abolaji Balogun

“…To solve the multi-objective power management optimization problem, the Teaching-Learning-Based Optimization (TLBO) algorithm was implemented. This algorithm optimizes day-ahead power scheduling by considering temperature forecasts, energy prices, solar irradiance, system constraints, and user preferences. …”
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Blockchain enabled deep learning model with modified coati optimization for sustainable healthcare disease detection and classification by Heba G. Mohamed, Fadwa Alrowais, Fahd N. Al-Wesabi, Mesfer Al Duhayyim, Anwer Mustafa Hilal, Abdelwahed Motwakel

“…One of the key benefits of the healthcare system is the ability to predict diseases early. Recently, the progress of artificial intelligence (AI) in the healthcare system has been a high priority. …”
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