Real-Time Progress Monitoring of Bricklaying by Ramez Magdy, Khaled A. Hamdy, Yasmeen A. S. Essawy

“…However, the level of automation and digitalization in the construction industry is still at its infancy in comparison with other industries due to the complex nature and the large size of construction projects. …”
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Single-index logistic model for high-dimensional group testing data by Changfu Yang, Wenxin Zhou, Wenjun Xiong, Junjian Zhang, Juan Ding

“…Group testing is an efficient screening method that reduces the number of tests by pooling multiple samples, making it especially effective in low-prevalence settings. …”
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Improving and simulating urban landscape image recognition using combination optimization and fuzzy K-means algorithm by Lihua Yang, Yuhui Zheng

“…The FKM allows for the clustering of mixed-use urban zones with greater accuracy, identifying complex patterns, and relationships that earlier research methods often overlook. …”
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Saccharification of Lignocelluloses by Carbohydrate Active Enzymes of the White Rot Fungus Dichomitus squalens. by Johanna Rytioja, Kristiina Hildén, Susanna Mäkinen, Jari Vehmaanperä, Annele Hatakka, Miia R Mäkelä

“…White rot fungus Dichomitus squalens is an efficient lignocellulose degrading basidiomycete and a promising source for new plant cell wall polysaccharides depolymerizing enzymes. …”
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Global Sensitivity Analysis of High Speed Shaft Subsystem of a Wind Turbine Drive Train by Saeed Asadi, Viktor Berbyuk, Håkan Johansson

“…The conclusion from the current research provides informative beneficial data in terms of design and optimization of a drive train setup and also can provide better understanding of wind turbine drive train system dynamics with respect to different structural parameters, ultimately designing more efficient drive trains. Finally, the proposed global sensitivity analysis (GSA) methodology demonstrates the detectability of faults in different components.…”
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Enhancing relative humidity modelling using L2 regularization updates by Abdellah Ben Yahia, Iman Kadir, Abdelaziz Abdallaoui, Abdellah El-Hmaidi

“…SOM complements PCA by highlighting data structure nuances and detect complex correlations. L2 regularization, particularly with Lambda = 0.01, effectively reduces data complexity and dispersion, preventing overfitting while enhancing prediction accuracy. …”
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The Value of Functional Multislice Computed Tomography in the Diagnosis of Instability of the Cervical Spinal Motion Segments by S. К. Ternovoy, N. S. Serova, A. S. Abramov, T. I. Miskaryan

“…The objective of the study was to investigate the efficiency of the technique versus radiography.Material and methods. …”
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A Model Transformation Method Based on Simulink/Stateflow for Validation of UML Statechart Diagrams by Runfang Wu, Ye Du, Meihong Li

“…In the validation phase, the converted model is tested for robustness using the fault injection method, and boundary condition anomalies that are not explicitly stated in the requirement specification are successfully detected. The experimental results show that the validation model generated by this method has improved validation efficiency in the NuSMV tool, which is significantly better than the traditional conversion method.…”
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Thyroid nodule segmentation in ultrasound images using transformer models with masked autoencoder pre-training by Yi Xiang, Rajendra Acharya, Quan Le, Jen Hong Tan, Chiaw-Ling Chng

“…However, overall improvements are modest: the model achieves Dice Similarity Coefficient (DSC) scores of 0.63, 0.64, and 0.65 on AIMI, TN3K, and DDTI, respectively, highlighting limitations under small-sample conditions. …”
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Constructing Composite Indicators Through Extreme Values Reductions-Ordered Weighted Averaging: Human Development Index by Matheus Pereira Liborio, Petr Ekel, Marcos Flavio Silveira Vasconcelos D'Angelo, Luis Martinez, Hamid Rabiei

“…The possibility of adjusting the weights of the intermediate values also provides the opportunity to reveal nuances that are difficult to detect by controlling the coefficient of variation of the composite indicator scores.…”
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Discrimination of the Skin Cells from Cellular-Resolution Optical Coherence Tomography by Deep Learning by Jui-Yun Yi, Sheng-Lung Huang, Shiun Li, Yu-You Yen, Chun-Yeh Chen

“…Deep learning algorithms (particularly convolutional neural networks, CNN) that extract features from images efficiently process the OCT’s complex images. We used four models to classify the images of five types of 2D-OCT skin cells. …”
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EWOD Sensor for Rapid Quantification of Marine Dispersants in Oil Spill Management by Oriol Caro-Pérez, María Blanca Roncero, Jasmina Casals-Terré

“…The device’s potential extends beyond marine dispersants to detecting various contaminants affecting surface tension. …”
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High-Sensitivity Electrical Admittance Sensor with Regression Analysis for Measuring Mixed Electrolyte Concentrations by Chun-Chi Chen, Chih-Hung Hung, Han-Xiang Zhu, Ji-Zun Chen

“…The sensor device requires no complex operational procedures and can quickly complete measurements, making it well-suited for point-of-care applications. …”
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A cooperative jamming decision-making method based on multi-agent reinforcement learning by Bingchen Cai, Haoran Li, Naimin Zhang, Mingyu Cao, Han Yu

“…The proposed approach achieves high-quality and efficient target allocation, jamming mode selection, and power control. …”
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ADVANCED NEURAL NETWORKS AND DEEP LEARNING TECHNIQUES IN FINANCIAL MARKET PREDICTION by ENE CEZAR CATALIN

“…ANN and DL have significantly reshaped financial analysis due to their capacity to identify complex patterns and improve market predictions. Mimicking the computational structure of the human brain, ANN processes interconnected data points enabling efficient analysis and forecasting. …”
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Experimental Study of Process Parameter Effects on Internal Defects in Titanium Coaxial Wire-Based Laser Metal Deposition by Remy Mathenia, Braden McLain, Todd Sparks, Frank Liou

“…Wire-based laser metal deposition is an additive manufacturing process that can be used in the efficient manufacturing of complex structures. This paper utilizes a three-beam coaxial laser wire system to explore the effect of process parameters on the resultant deposition density. …”
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A Deep Learning Approaches for Enhancing Clinical Solutions to Cardiovascular Prediction Using EHR by Mounika Valasapalli, Nallagatla Raghavendra Sai

“…The main purpose of these approaches is to detect the occurrence of cardiovascular disease (CVD) using patient information from comprehensive electronic health records (HER). …”
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AN APPROACH TO CELL NUCLEI COUNTING IN HISTOLOGICAL IMAGE ANALYSIS by M. M. Lukashevich, V. V. Starovoitov

“…Unlike prior research, the presented approach does not provide segmentation of cell nuclei in the image, but only requires to detect them and count their number. This avoids complex algorithmic calculations and provides good accuracy of counting cell nuclei.The paper describes a series of experiments conducted to assess the effectiveness of the proposed method using the available online database of medical test histological images. …”
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Computer‐aided biochemical programming of synthetic microreactors as diagnostic devices by Alexis Courbet, Patrick Amar, François Fages, Eric Renard, Franck Molina

“…Abstract Biological systems have evolved efficient sensing and decision‐making mechanisms to maximize fitness in changing molecular environments. …”
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INNOVATIONS IN THE SYNTHESIS AND CHARACTERIZATION OF ELECTRO-OPTICAL MATERIALS BASED ON POLYMERS WITH CARBAZOLIC SEQUENCES by Ionica Ionita, Ana-Maria Albu, Cristiana Radulescu, Elena Irina Moater

“…We live in a complex world where revolutionary progress has been and continues to be made in communications, computer memory, and data processing. …”
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