Estimation of Leaf, Spike, Stem and Total Biomass of Winter Wheat Under Water-Deficit Conditions Using UAV Multimodal Data and Machine Learning by Jinhang Liu, Wenying Zhang, Yongfeng Wu, Juncheng Ma, Yulin Zhang, Binhui Liu

“…Correlation analysis and Variance Inflation Factor (VIF) were employed for feature selection, and estimation models for leaf, spike, stem, and total AGB were constructed using Random Forest (RF), Support Vector Machine (SVM), and Neural Network (NN) models. …”
Get full text

Klasifikasi Citra Sampah Menggunakan Support Vector Machine dengan Ekstraksi Fitur Gray Level Co-Occurrence Matrix dan Color Moments by Iffa Zainan Nisa, Sukmawati Nur Endah, Priyo Sidik Sasongko, Retno Kusumaningrum, Khadijah Khadijah, Rismiyati Rismiyati

“…Therefore, automatic waste detection technology is needed to support more optimal waste sorting. This study proposes waste image classification using Support Vector Machine (SVM) with Gray Level Co-Occurrence Matrix (GLCM) and Color Moments as the features. …”
Get full text

Nano-second pulsed laser ablation of inconel 718 and MMPCD for simultaneous optimal ablation rate and surface quality by Ahmed Elkaseer, Islam H. Abdelgaliel, Jon Lambarri, Iban Quintana, Steffen Scholz, Mohamed F. Aly

“…Four multi-objective optimization algorithms, weighted value grey wolf optimizer (WVGWO), multi-objective Pareto search (MOPS), multi-objective genetic algorithm (MOGA), and multi-objective sunflower optimization (MOSFO), were employed to optimize these models. …”
Get full text

Estimation of chlorophyll-a in uncrewed aircraft systems imagery using autonomous surface vessel data with machine learning algorithms and feature selection techniques by Mohammad Shakiul Islam, Padmanava Dash, Abduselam M. Nur, Hafez Ahmad, Rajendra M. Panda, Jessica S. Wolfe, Gray Turnage, Lee Hathcock, Gary D. Chesser, Jr, Robert J. Moorhead

“…This study evaluated the performance of 10 widely used Machine Learning (ML) algorithms in deriving the spatiotemporal distribution of Chl-a from uncrewed aircraft systems (UAS) imagery. …”
Get full text

Method for calculating the integral mobility index of wheeled all-terrain vehicles based on the multi-criteria optimization method by Mazunova L.N., Belyakov V.V., Erofeeva L.N., Makarov V.S., Bushueva M.E.

“…Using the obtained methodology, the mobility indicators for a number of models of wheeled all-terrain vehicles were calculated, the ranked vehicle series are given according to this indicator.…”
Get full text

Utilizing Enhanced Particle Swarm Optimization for Feature Selection in Gender-Emotion Detection From English Speech Signals by Ammar Amjad, Li-Chia Tai, Hsien-Tsung Chang

“…Speech emotion recognition (SER) plays a vital role in various applications, enabling machines to decode and analyze emotions conveyed through speech. …”
Get full text

Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis by ShinYe Kim, Winson Fu Zun Yang, Zishan Jiwani, Emily Hamm, Shreya Singh

“…ResultsThe random forest model demonstrated the strongest predictive performance, with an accuracy of 94.69%, balanced accuracy of 94.69%, κ of 0.89, and an area under the curve of 0.95 (P<.001). …”
Get full text

Advanced graph embedding for intelligent heating, ventilation, and air conditioning optimization: An ensemble learning-based recommender system by Shouliang Lai, Xiyu Yi, Peiling Zhou, Lu Peng, Wentao Liu, Shi Sun, Binrong Huang

“…Utilizing advanced graph embedding techniques combined with ensemble learning models, we developed a recommender system tailored for Heating, Ventilation, and Air Conditioning (HVAC) optimization in Shenzhen Qianhai Smart Community. …”
Get full text

Hardware implementation of Boolean functions based on the automaton model by A. A. Butov

“…A device that implements a Boolean function based on an automaton model is synthesized from typical microcircuits. …”
Get full text

Approach of Model Extension for Virtual Commissioning to Predict Energy Consumption of Production Systems by Leon Hollas, Christer-Clifford Schenke, Arvid Hellmich

“…For further use, this kind of enhanced simulation models provides the possibility to optimize the utilization of production systems for specific processes in the context of a complete production line or factory.…”
Get full text

EXAMPLE OF FLOW MODELLING CHARACTERISTICS IN DIESEL ENGINE NOZZLE by Dušan KOLARIČ, Marko KOLARIČ

Get full text

Assisting human annotation of marine images with foundation models by Eric C. Orenstein, Eric C. Orenstein, Benjamin Woodward, Lonny Lundsten, Kevin Barnard, Brian Schlining, Kakani Katjia

“…Increasingly, computer scientists are not attempting to produce highly-optimized models from general annotation frameworks, instead focusing on adaptation strategies to tackle new data challenges. …”
Get full text

Verification of mathematical model of transonic axial compressor stage by A. S. Zolotukhin, L. N. Marenina, A. A. Drozdov, E. Yu. Zolotukhina, A. M. Yablokov

Get full text

Apple Yield Estimation Method Based on CBAM-ECA-Deeplabv3+ Image Segmentation and Multi-Source Feature Fusion by Wenhao Cui, Yubin Lan, Jingqian Li, Lei Yang, Qi Zhou, Guotao Han, Xiao Xiao, Jing Zhao, Yongliang Qiao

“…The optimized CBAM-ECA-DeepLabv3+ model achieved a mean Intersection over Union (mIoU) of 0.89, an 8% improvement over the baseline DeepLabv3+, and outperformed U2Net and PSPNet. …”
Get full text

Field-grown tomato yield estimation using point cloud segmentation with 3D shaping and RGB pictures from a field robot and digital single lens reflex cameras by B. Ambrus, G. Teschner, A.J. Kovács, M. Neményi, L. Helyes, Z. Pék, S. Takács, T. Alahmad, A. Nyéki

Get full text

Boosting feature selection efficiency with IMVO: Integrating MVO and mutation-based local search algorithms by Maryam Askari, Farid Khoshalhan, Hodjat Hamidi

“…Feature selection is crucial in machine learning and data mining, significantly impacting model performance and efficiency by reducing dimensionality, mitigating overfitting, and improving interpretability. …”
Get full text

Machine Learning-Based Detection of Archeological Sites Using Satellite and Meteorological Data: A Case Study of Funnel Beaker Culture Tombs in Poland by Krystian Kozioł, Natalia Borowiec, Urszula Marmol, Mateusz Rzeszutek, Celso Augusto Guimarães Santos, Jerzy Czerniec

“…This study aimed to develop predictive models for assessing archeological site visibility in satellite imagery by integrating vegetation indices and meteorological data using machine learning techniques. …”
Get full text

Intraoperative circulation predict prolonged length of stay after head and neck free flap reconstruction: a retrospective study based on machine learning by Zhongqi Liu, Zhongqi Liu, Jinbei Wen, Yingzhen Chen, Yingzhen Chen, Bin Zhou, Minghui Cao, Minghui Cao, Mingyan Guo, Mingyan Guo

“…The developed real-time quantified intraoperative circulation prediction models based on this quantification offer a potential strategy to optimize intraoperative circulation management and mitigate PLOS following head and neck free flap reconstruction.…”
Get full text

Enhancing stone matrix asphalt performance with sugarcane bagasse ash: Mechanical properties and machine learning-based predictions using XGBoost and random forest by Hamed Khani Sanij, Rezvan Babagoli, Reza Mohammadi Elyasi

“…In parallel, the study applied machine learning (ML) models—Support Vector Regression (SVR), Random Forest (RF), and Extreme Gradient Boosting (XGBoost)—to predict the mechanical properties of SMA based on input mix parameters. …”
Get full text

Performance of new cutting tool multilayer coatings for machining Ti-6Al-4V titanium alloy under cryogenic cooling conditions by Y. Zhang, J.C. Outeiro, C. Nouveau, B. Marcon, L.A. Denguir

“…A statistical analysis shows a strong correlation between tool wear and the machining forces. This analysis also permitted to build models for predicting tool wear in function of measured forces.…”
Get full text