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4961
Experimental and Thermal Investigation on Powder Mixed EDM Using FEM and Artificial Neural Networks
Published 2021-01-01“…In addition, finite element method (FEM) is utilized for thermal analysis on EDM of stainless-steel 630 (SS630) grade. …”
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4962
Adsorptive Removal of Cd(II) Ions from Wastewater Using Maleic Anhydride Nanocellulose
Published 2021-01-01Get full text
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4963
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4964
Mechanical Properties of Corner Lap-45 Types Joined Using Friction Stir Welding
Published 2024-07-01Get full text
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4965
River water quality monitoring using machine learning with multiple possible in-situ scenarios
Published 2025-06-01Get full text
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4966
Analysis of Vibration Control of Nonlinear Beam Using a Time-Delayed PPF Controller
Published 2020-01-01Get full text
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4967
End-to-End Stroke Imaging Analysis Using Effective Connectivity and Interpretable Artificial Intelligence
Published 2025-01-01Get full text
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4968
A novel investigation of quaternion Julia and Mandelbrot sets using the viscosity iterative approach
Published 2025-03-01Get full text
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4969
Forecasting Shifts in Europe's Renewable and Fossil Fuel Markets Using Deep Learning Methods
Published 2025-01-01Get full text
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4970
Representing the Australian Heat Low in a GCM Using Different Surface and Cloud Schemes
Published 2016-01-01Get full text
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4971
Automated cell annotation in multi-cell images using an improved CRF_ID algorithm
Published 2025-01-01Get full text
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4972
Blended Features Classification of Leaf-Based Cucumber Disease Using Image Processing Techniques
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4973
Composite Bayesian Optimization in function spaces using NEON—Neural Epistemic Operator Networks
Published 2024-11-01“…In this paper, we introduce Neon (Neural Epistemic Operator Networks), an architecture for generating predictions with uncertainty using a single operator network backbone, which presents orders of magnitude less trainable parameters than deep ensembles of comparable performance. We showcase the utility of this method for sequential decision-making by examining the problem of composite Bayesian Optimization (BO), where we aim to optimize a function $$f=g\circ h$$ f = g ∘ h , where $$h:X\rightarrow C(\mathscr {Y},{\mathbb {R}}^{d_s})$$ h : X → C ( Y , R d s ) is an unknown map which outputs elements of a function space, and $$g: C(\mathscr {Y},{\mathbb {R}}^{d_s})\rightarrow {\mathbb {R}}$$ g : C ( Y , R d s ) → R is a known and cheap-to-compute functional. …”
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4974
Synthetic CT generation from CBCT and MRI using StarGAN in the Pelvic Region
Published 2025-02-01Get full text
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4975
Improving Oil Supply Security: Using a Risk Optimization Model to China and India
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4976
Experimental Study on Water-Jet Shock Microforming Process Using Different Incident Pressures
Published 2020-01-01“…In this experiment, a KEYENCE VHX-1000C digital microscope, confocal laser-scanning microscope (Axio CSM 700), and micro-Vickers hardness tester were utilized to observe the forming depth, surface quality, thickness distribution, and section hardness distributions under different incident pressures. …”
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4977
Assessing water status in rice plants in water-deficient environments using thermal imaging
Published 2025-01-01“…Conclusion Our study demonstrate that infrared thermography can effectively detect early signs of water stress in rice, aiding farmers in irrigation planning and enabling precise management and optimal utilization of water resources.…”
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4978
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4979
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4980
Regional Frequency Analysis of Extremes Precipitation Using L-Moments and Partial L-Moments
Published 2017-01-01Get full text
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