Italian EoExpert panel recommendation for disease control, switching criteria, and follow-up in eosinophilic esophagitis from pediatric to adult age by Edoardo Vincenzo Savarino, Matteo Fassan, Nicola de Bortoli, Claudio Romano, Antonio Di Sabatino, Roberto Penagini, Francesca Racca, Giovanni Sarnelli, Salvatore Oliva

“…Finally, to validate an algorithm for disease control, switching criteria, and follow-up. …”
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Skin Parameter Map Retrieval from a Dedicated Multispectral Imaging System Applied to Dermatology/Cosmetology by Romuald Jolivot, Yannick Benezeth, Franck Marzani

“…The reflectance cube is analyzed by an algorithm based on a Kubelka-Munk model combined with evolutionary algorithm. …”
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Online Autonomous Motion Control of Communication-Relay UAV with Channel Prediction in Dynamic Urban Environments by Cancan Tao, Bowen Liu

“…Considering that in practical applications, the radio frequency (RF) channel parameters in complex urban environments are difficult to obtain in advance and are constantly changing, an estimation algorithm based on Gaussian process learning is proposed for online evaluation of the wireless channel parameters near the current position of the UAV; for the optimal relay position search problem, in order to improve the real-time performance of the method, a line search algorithm and a general gradient-based algorithm are proposed, which are used for point-to-point communication and multi-node communication scenarios, respectively, reducing the two-dimensional search to a one-dimensional search, and the stability proof and convergence conditions of the algorithm are given. …”
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A New Semisupervised-Entropy Framework of Hyperspectral Image Classification Based on Random Forest by Mengmeng Sun, Chunyang Wang, Shuangting Wang, Zongze Zhao, Xiao Li

“…In order to verify the universality of the proposed algorithm, two different data sources are tested, which are AVIRIS and Hyperion data. …”
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Buoy and Winch Collaborative Control System Based on Deep Reinforcement Learning by Yang Gu, Jianjun Ni, Zaiming Geng, Bing Zhao, Haowen Yang

“…The average error of the buoy tracking trajectories induced by different policies trained in the two environments is less than 0.05, and the evaluation error of the behavior cloning lightweight transformer model is less than 0.03.…”
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Hidden Anchor: A Lightweight Approach for Physical Layer Location Privacy by Rania El-Badry, Moustafa Youssef, Ahmed Sultan

“…In this paper, we propose Hidden Anchor, an algorithm that provides anchor physical layer location privacy for different classes of localization algorithms. …”
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The Effect of Surface Observations on Enhancing the GIIRS Thermodynamic Profile Retrieval by Chuanhai Deng, Di Di, Jun Li

“…The performance of the algorithm under different atmospheric and observational scenarios, such as surface-air and skin temperature differences (∆T), surface pressure (Ps), and satellite zenith angle, respectively, has been systematically evaluated using the Geosynchronous Interferometric Infrared Sounder (GIIRS) on board the Fengyun-4A satellite as an example. …”
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Balancing mitigation strategies for viral outbreaks by Hamed Karami, Pejman Sanaei, Alexandra Smirnova

“…Our innovative approach to modeling the cost of control gave rise to a robust computational algorithm for solving optimal control problems associated with different public health regulations. …”
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Optimizing Vehicle Placement in the Residual Spaces of Unmarked Parking Areas: A Comparative Study of Heuristic Methods by Mustafa Hüsrevoğlu, Artur Janowski, Ahmet Emin Karkınlı

“…This study investigates the optimal allocation of additional vehicles in spaces left unoccupied around parked cars by comparing seven heuristic optimization algorithms: Particle Swarm Optimization, Artificial Bee Colony, Gray Wolf Optimizer, Harris Hawks Optimizer, Phasor Particle Swarm Optimization, Multi-Population Based Differential Evolution, and the Colony-Based Search Algorithm. …”
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Enhanced Gold Ore Classification: A Comparative Analysis of Machine Learning Techniques with Textural and Chemical Data by Fabrizzio Rodrigues Costa, Cleyton de Carvalho Carneiro, Carina Ulsen

“…Four groups of variables were selected with different variable configurations. The application of classification algorithms to different groups of variables aimed to observe the variables of importance and the impact of each one on the classification, in addition to testing the best algorithm in terms of accuracy and precision. …”
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Benchmarking Variants of Recursive Feature Elimination: Insights from Predictive Tasks in Education and Healthcare by Okan Bulut, Bin Tan, Elisabetta Mazzullo, Ali Syed

“…Rather than conducting a systematic review, we present a narrative synthesis supported by illustrative studies from EDM to demonstrate how different variants have been applied in practice. We also conduct an empirical evaluation of five representative RFE variants across two domains: a regression task using a large-scale educational dataset and a classification task using a clinical dataset on chronic heart failure. …”
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An intelligent incentive-based demand response program for exhaustive environment constrained techno-economic analysis of microgrid system by Bishwajit Dey, Gulshan Sharma, Pitshou N. Bokoro, Soham Dutta

“…These scenarios also include the implementation of demand response programmes. Differential evolution algorithm was used as the optimization tool for the study. …”
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Improving the Spatial Resolution of Thermal Images by using SFIM and T-Sharp-Dis-Trade Techniques to Investigate Land Surface Temperature by Sajad Zareie, Mostafa Kabolizadeh, Fatemeh Navarbaf

“…Split Window and SFIM algorithms did not provide acceptable results in land use evaluation. …”
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RGB and Point Cloud-Based Intelligent Grading of Pepper Plug Seedlings by Fengwei Yuan, Guoning Ma, Qinghao Zeng, Jinghong Liu, Zhang Xiao, Zhenhong Zou, Xiangjiang Wang

“…Meanwhile, it can grade different tray seedlings by training different models and provide reliable technical support for the quality evaluation of seedlings in industrialized transplanting production.…”
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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

“…This approach efficiently identifies the optimal set of parameters for a given numerical model through a strategy based on a Gaussian neighborhood algorithm. Through experiments, we demonstrate the efficacy of IMC in calibrating the widely used landscape evolution model CAESAR-Lisflood (CL). …”
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An Innovative Multiparametric Sensor Design for Detecting Microplastics and Heavy Metals by Ekrem Kursad Dal, Adem Gunes, Recai Kilic

“…The proposed sensor system detects these materials and evaluates their concentrations using a trainable multilayer perceptron algorithm. …”
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Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

“…Abstract Background Gadolinium-enhanced “sampling perfection with application-optimized contrasts using different flip angle evolution” (SPACE) sequence allows better visualization of brain metastases (BMs) compared to “magnetization-prepared rapid acquisition gradient echo” (MPRAGE). …”
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Image Super-Resolution via Adaptive Regularization Term of Compressed Sensing by Yintao Liu, Chao Ren, Hongjuan Shao, Qirui Liu, Yan Zhang

“…Compared with existing classical sparse representation-based image super-resolution algorithms, our ARSR algorithm obtains the highest PSNR and SSIM values in different regions of the image with better subjective visual effects.…”
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The Cultural Value Validity of Digital Media Art Based on Deep Learning Network Model by Yuan Ruan

“…The enhancement of features and the suppression of irrelevant features realize the evaluation of artistic and cultural value. The experimental results show that, compared with mainstream neural network models and traditional classification algorithms, the proposed algorithm has higher classification accuracy and higher recognition and classification efficiency.…”
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Bioinspired Load Balancing in Large-Scale WSNs Using Pheromone Signalling by Ipek Caliskanelli, James Harbin, Leandro Soares Indrusiak, Paul Mitchell, Fiona Polack, David Chesmore

“…We explore the performance consequences of the pheromone-based load balancing approach using (1) a system-level simulator, (2) deployment of real sensor testbeds to provide a competitive analysis of these evaluation methodologies. The effectiveness of the proposed algorithm is evaluated with different scenario parameters and the required performance evaluation techniques are investigated on case studies based on sound sensors.…”
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