FMEA based prescriptive model for equipment repair guidance. [PDF]
Front Artif IntellOliveira DF, Brito MA, Brandão DJ.
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Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.Abstract Operational wave forecasting requires a delicate balance between the accuracy and computational speed of the spectral wave model used, in which the nonlinear wave–wave interaction “source” term plays an important role. The exact formulation of these nonlinear four‐wave interactions requires solving the six‐dimensional Boltzmann integral, an ...
Jialun Chen +4 more
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OpenSpliceAI provides an efficient modular implementation of SpliceAI enabling easy retraining across nonhuman species. [PDF]
ElifeChao KH +4 more
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Methods in Ecology and Evolution, Volume 17, Issue 2, Page 357-370, February 2026.Abstract Camera traps, combined with AI, have emerged to achieve automated, scalable biodiversity monitoring. However, passive infrared (PIR) sensors that typically trigger camera traps are poorly suited for detecting small, fast‐moving ectotherms such as insects. Insects comprise over half of all animal species and are key components of ecosystems and
Ross J. Gardiner +2 more
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FlameGuard: an AI-driven smart map for early detection and management of agricultural fires in Saudi Arabia. [PDF]
Sci RepAljaafari M, Sorour SE.
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Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies
Expert Systems, Volume 43, Issue 2, February 2026.ABSTRACT As benchmark image datasets expand in sample size and feature complexity, the challenge of managing increased dimensionality becomes apparent. Contrary to the expectation that more features equate to enhanced information and improved outcomes, the curse of dimensionality often hampers performance.
J. Guzmán Figueira‐Domínguez +2 more
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Global attention and local features using deep perceptron ensemble with vision Transformers for landscape design detection. [PDF]
Sci RepGuodong S, Huiyu W.
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International Journal of Applied Ceramic Technology, Volume 23, Issue 1, February 2026.Abstract This paper presents a recent development in the densification‐based finite element method (DFEM) of sintering deformation, in which a machine learning model replaces the volumetric component of classical constitutive laws. Accurate constitutive laws are traditionally considered essential for finite element (FE) modeling; however, this study ...
Baber Saleem +6 more
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Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology
Journal of Microscopy, Volume 301, Issue 2, Page 280-329, February 2026.Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz +4 more
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Evaluating Custom and Transfer Learning Convolutional Neural Networks for Pneumonia Classification Under Data Scarcity and Low-Compute Conditions for Under-Resourced Environments. [PDF]
CureusChen AL, Cheek E, Samradi M.
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