Parallel tempered Bayesian inference for characterizing non-ideal semiconductors: Carrier trapping in cadmium telluride thin films by Calvin Fai, Anthony J.C. Ladd, Charles J. Hages, Gregory A. Manoukian, Jason B. Baxter

“…A “parallel tempering” scheme is introduced, which efficiently and reliably locates the global maximum in the complex multimodal distributions that are characteristic of cadmium telluride (CdTe) films. …”
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Innovative Expert-Based Tools for Spatiotemporal Shallow Landslides Mapping: Field Validation of the GOGIRA System and Ex-MAD Framework in Western Greece by Michele Licata, Francesco Seitone, Efthimios Karymbalis, Konstantinos Tsanakas, Giandomenico Fubelli

“…GOGIRA is a low-cost system for efficient georeferenced data collection, while ExMAD uses AI and multitemporal Sentinel-2 imagery to detect landslide triggering times. …”
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Enhancing knee osteoarthritis diagnosis with DMS: a novel dense multi-scale convolutional neural network approach by Di Zhang, Yuting Dong, Yao Xu, Junhui Qian, Miaoyu Ye, Qiang Yuan, Jian Luo

“…There is a critical need for an automated, efficient, and accurate diagnostic method to improve early detection and treatment. …”
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How to Count Parrots: Comparing the Performance of Point and Transect Counts for Surveying Tasman Parakeets (<i>Cyanoramphus cookii</i>) by Michael John Adam Skirrow, Luis Ortiz-Catedral, Adam N. H. Smith

“…The fixed-point method was also more efficient, yielding 1.338 parakeet detections per count compared to the 0.642 parakeet detections per count obtained by the line transect method. …”
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An Over-the-Air Multi-User Convolutional Code for URLLC by Rafael Santos, Daniel Castanheira, Adao Silva, Atilio Gameiro

“…This scheme can be viewed as a non-orthogonal multiple access scheme, whose structure enables ML joint detection and decoding with the complexity of standard Viterbi algorithm.…”
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A Perspective on Software-in-the-Loop and Hardware-in-the-Loop Within Digital Twin Frameworks for Automotive Lighting Systems by George Balan, Philipp Neninger, Enrique Ruiz Zúñiga, Elena Serea, Dorin-Dumitru Lucache, Alexandru Sălceanu

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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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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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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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