Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
eLife

Correlates of protection against African swine fever virus identified by a systems immunology approach

Dissecting protective versus detrimental immune responses uncovers biomarkers and mechanisms that can inform the rational design and evaluation of live attenuated vaccines against African swine fever ...
Communications of the ACM

Beyond the Pipeline: A Gender Lens on Priorities and Exit Triggers in the High-Tech Industry

Among early- and mid-career computer science graduates, men are more likely than women to report no intentions to leave their ...

Layered ocean sound speed model improves acoustic seafloor positioning precision

FAYETTEVILLE, GA, UNITED STATES, June 23, 2026 /EINPresswire.com/ -- GNSS-A positioning, which combines satellite ...
BMJ Global Health

Decision-analytic models in the economic evaluation of community health worker programmes globally: a systematic review

Introduction Economic evidence on community health worker (CHW) programmes is crucial for scaling these initiatives. Although decision-analytic models (DAMs) are essential for projecting long-term ...
IEEE

Automatic Adjustment Method of Operating Parameters in Laser Cleaning Process Based on Image Processing

Abstract: When using laser cleaning on metals with different levels of corrosion, it is necessary to adjust the operating parameters of the laser to achieve the cleaning standards without damaging the ...
IEEE

Input-Output Variation Driven Gain Observer for Ultra-Local-Model-Based Predictive Control of PMSMs without Dependence on Electrical Parameters

Abstract: Model-free predictive control (MFPC) based on ultra-local model (ULM) is characterized by enhanced robustness to parameter mismatches. However, the selection of control gains, actually, ...