Neural Networks in Forecasting Disease Dynamics by A. G. Hasanov, D. G. Shaybakov, S. V. Zhernakov, A. M. Men’shikov, F. F. Badretdinova, I. F. Sufiyarov, J. R. Sagadatova

“…Introduction.In recent years, computer technologies are more and more widely used in medicine. …”
Get full text

A comprehensive review and future perspectives of simulation approaches in wire arc additive manufacturing (WAAM) by Zhonghao Chen, Lei Yuan, Zengxi Pan, Hongtao Zhu, Ninshu Ma, Donghong Ding, Huijun Li

Get full text

Research and application of water drainage borehole design method based on three-dimensional geological model by Zhenrong WANG

Get full text

Directed energy deposition of functionally graded V-4Cr-4Ti to Fe-9Cr transition for fusion power systems by D. Ebeperi, T. Graening, Y. Yang, A. Whitt, R. Seede, K.C. Atli, Y. Katoh, R. Arroyave, I. Karaman

“…Ultimately, LB-DED has proven effective for producing multi-material graded systems for fusion applications, with the demonstrated process parameter optimization framework applicable to various materials.…”
Get full text

Preliminary Study on Sensor-Based Detection of an Adherent Cell’s Pre-Detachment Moment in a MPWM Microfluidic Extraction System by Marius-Alexandru Dinca, Mihaita Nicolae Ardeleanu, Dan Constantin Puchianu, Gabriel Predusca

“…By combining microfluidics, sensor detection, and AI-driven image processing, this study established a non-invasive method for optimizing adherent cell detachment. …”
Get full text

Low-Complexity Adaptive Chromatic Dispersion Estimation Scheme Using Machine Learning for Coherent Long-Reach Passive Optical Networks by Jin Li, Danshi Wang, Min Zhang

“…In the coherent long-reach passive optical networks (LRPON), it is crucial to propose cost-effective digital signal processing (DSP) technologies to reduce the overall complexity and power consumption. …”
Get full text

Diagnostic of Osteoporosis Using Backpropagation Neural Networks by Falah A. Bida, Hayder A. Naser

Get full text

Metaheuristic algorithm for parametric optimization of liquid nitrogen pumping in hydrocarbon and allied fluids piping systems by S. Isaac, C. Kadurumba, H. Ugwu, F. Abam

“…This study applied a population-based metaheuristic algorithm to optimize liquid nitrogen pumping in hydrocarbon and allied fluids piping systems to ensure optimal process efficiency, minimize energy consumption, and minimize operational costs without extensive computational tasks while considering uncertainties and variability. …”
Get full text

Beyond Standard Losses: Redefining Text-to-SQL with Task-Specific Optimization by Iker Azurmendi, Ekaitz Zulueta, Gustavo García, Nekane Uriarte-Arrazola, Jose Manuel Lopez-Guede

“…This approach avoids computationally expensive approaches such as SQL validation or detokenization, which improves the efficiency of the learning process compared to alternative methods. …”
Get full text

Exploring Group Clinical Supervision: Enhancing Professional Awareness and Unity in a Single-Group Case Study by Denise Vagnini, Chiara Fusar Poli, Antonia Sorge, Sara Molgora, Giuseppe Tarantino, Emanuela Saita, Barbara Bertani

“…Through a qualitative approach and a computer-assisted word-driven tool (T-LAB), a linguistic analysis was conducted on participants’ discourse during the group supervision sessions. …”
Get full text

Fully automated unsupervised artefact removal in multichannel electroencephalogram using wavelet‐independent component analysis with density‐based spatial clustering of application... by Chong Yeh Sai, Norrima Mokhtar, Masahiro Iwahashi, Paul Cumming, Hamzah Arof

“…DBSCAN achieved excellent and robust performance in identifying artefactual components during the Wavelet‐ICA process, especially in consideration of the low‐density nature of typical artefactual signals. …”
Get full text

Practical application of time-lapse camera imagery to develop water-level data for three hydrologic monitoring sites in Wisconsin during water year 2020 by Keegan E. Johnson, Paul C. Reneau, Matthew J. Komiskey

Get full text

Parameter uncertainty in medium-term coastal morphodynamic modeling by Anna Kroon, Jakob C. Christiaanse, Arjen P. Luijendijk, Matthieu A. de Schipper, Roshanka Ranasinghe

“…Systematically exploring the parameter space has remained a challenge due to the high computational demands of these morphodynamic models. …”
Get full text

Toward Seamless Localization: Situational Awareness Using UWB Wearable Systems and Convolutional Neural Networks by Ghazaleh Kia, David Plets, Ben Van Herbruggen, Eli De Poorter, Jukka Talvitie

Get full text

The Outcomes and Publication Standards of Research Descriptions in Document Classification: A Systematic Review by Marcin Marcin Michal Mironczuk, Adam Muller, Witold Pedrycz

Get full text

A novel hybrid MCDM framework combining TOPSIS, PROMETHEE II, and VIKOR for peach drying method selection by Burak Gülmez

Get full text

Diagnosis by SAM Linked to Machine Vision Systems in Olive Pitting Machines by Luis Villanueva Gandul, Antonio Madueño-Luna, José Miguel Madueño-Luna, Miguel Calixto López-Gordillo, Manuel Jesús González-Ortega

“…Computer Vision (CV) has proven to be a powerful tool for automation in agri-food industrial processes, offering high-precision solutions tailored to specific working conditions. …”
Get full text

A Novel Framework for Natural Language Interaction with 4D BIM by Larin Jaff, Sahej Garg, Gursans Guven

Get full text

Intelligent Fault Diagnosis of Wind Turbine Generator Bearings Using Acoustic Signals by Bei Zhao, Xiaomeng Li, Zedong Li, Minli You, Feng Xu

Get full text

Securing LLM Workloads With NIST AI RMF in the Internet of Robotic Things by Hassan Karim, Deepti Gupta, Sai Sitharaman

Get full text